33 results on '"Eduardo Ibanez"'
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2. The North American Renewable Integration Study (NARIS): A U.S. Perspective
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Vinayak Narwade, Eduardo Ibanez, Gregory Brinkman, Jonathan Ho, Avi Purkayastha, Ben Sigrin, Ryan Jones, Sinnott Murphy, Dominique Bain, Caroline Draxl, Joshua Novacheck, Jiazi Zhang, Sam Koebrich, Michael Rossol, Grant Buster, Paritosh Das, and Gord Stephen
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Economy ,Political science ,Perspective (graphical) ,Renewable integration - Published
- 2021
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3. The North American Renewable Integration Study (NARIS): A Canadian Perspective
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Vinayak Narwade, Grant Buster, Dominique Bain, Jiazi Zhang, Sam Koebrich, Gregory Brinkman, Michael Rossol, Caroline Draxl, Sinnott Murphy, Jonathan Ho, Gord Stephen, Ben Sigrin, Ryan Jones, Paritosh Das, Joshua Novacheck, Eduardo Ibanez, and Avi Purkayastha
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Political science ,Perspective (graphical) ,Regional science ,Renewable integration - Published
- 2021
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4. Value and Role of Pumped Storage Hydro under High Variable Renewables
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Shruti Rao, Slobodan Pajic, Genevieve de Mijolla, Mitchel Bringolf, Xian Guo, David Havard, Christina Bisceglia, Eduardo Ibanez, and Miaolei Shao
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Variable (computer science) ,business.industry ,Value (economics) ,Environmental engineering ,Environmental science ,business ,Renewable energy - Published
- 2021
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5. Stochastic Multi-Timescale Power System Operations With Variable Wind Generation
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Jie Zhang, Eduardo Ibanez, Hongyu Wu, Ibrahim Krad, Anthony R. Florita, Bri-Mathias Hodge, and Erik Ela
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Engineering ,Mathematical optimization ,Wind power ,Automatic Generation Control ,business.industry ,Stochastic modelling ,Stochastic process ,020209 energy ,Economic dispatch ,Energy Engineering and Power Technology ,02 engineering and technology ,Stochastic programming ,Electric power system ,Power system simulation ,0202 electrical engineering, electronic engineering, information engineering ,Electrical and Electronic Engineering ,business - Abstract
This paper describes an integrated operational simulation tool that combines various stochastic unit commitment and economic dispatch models together that consider stochastic loads and variable generation at multiple operational timescales. The tool includes four distinct configurable sub-models within: day-ahead security-constrained unit commitment (SCUC), real-time SCUC, real-time security-constrained economic dispatch (SCED), and automatic generation control (AGC). The unit commitment and dispatch sub-models within can be configured to meet multiple load and variable generation (VG) scenarios with configurable first stage and second-stage decisions determined where first-stage decisions are passed on and second-stage decisions are later determined by other sub-models in a continuous manner. The progressive hedging algorithm (PHA) is applied to solve the stochastic models to maintain the computational tractability of the proposed models. Comparative case studies, considering various configurations of stochastic and deterministic sub-models are conducted in low wind and high wind penetration scenarios to highlight the advantages of the stochastic programming during different decision-making processes. The effectiveness of the proposed method is evaluated with sensitivity tests using both economic and short-term reliability metrics to provide a broader view of its impact at different timescales and decision-making processes.
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- 2017
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6. Analysis of operating reserve demand curves in power system operations in the presence of variable generation
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Hongyu Wu, Ibrahim Krad, Eduardo Ibanez, David Wenzhong Gao, and Erik Ela
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Flexibility (engineering) ,Schedule ,Operating reserve ,Renewable Energy, Sustainability and the Environment ,Computer science ,020209 energy ,02 engineering and technology ,Reliability engineering ,Electric power system ,Variable (computer science) ,Demand curve ,0202 electrical engineering, electronic engineering, information engineering ,Production (economics) ,Electric power industry - Abstract
The electric power industry landscape is continually evolving. As emerging technologies such as wind and solar generating systems become more cost effective, traditional power system operating strategies will need to be re-evaluated. The presence of wind and solar generation (commonly referred to as variable generation or VG) can increase variability and uncertainty in the net-load profile. One mechanism to mitigate this issue is to schedule and dispatch additional operating reserves. These operating reserves aim to ensure that there is enough capacity online in the system to account for the increased variability and uncertainty occurring at finer temporal resolutions. A new operating reserve strategy, referred to as flexibility reserve, has been introduced in some regions. A similar implementation is explored in this study, and its implications on power system operations are analysed. Results show that flexibility reserve products can improve economic metrics, particularly in significantly reducing the number of scarcity pricing events, with minimal impacts on reliability metrics and production costs. The production costs increased due to increased VG curtailment - i.e. including the flexible ramping product in the commitment of excess thermal capacity that needed to remain online at the expense of VG output.
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- 2017
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7. Three-stage variability-based reserve modifiers for enhancing flexibility reserve requirements under high variable generation penetrations
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David Wenzhong Gao, Erik Ela, Ibrahim Krad, and Eduardo Ibanez
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Power system operators ,Engineering ,021103 operations research ,Three stage ,Reserve requirement ,Operations research ,Emerging technologies ,business.industry ,020209 energy ,0211 other engineering and technologies ,Energy Engineering and Power Technology ,02 engineering and technology ,Grid ,Reliability engineering ,Electric power system ,0202 electrical engineering, electronic engineering, information engineering ,Capacity utilization ,Electrical and Electronic Engineering ,business - Abstract
The electric power system has continuously evolved in order to accommodate new technologies and operating strategies. As the penetration of integrated variable generation in the system increases, it is beneficial to develop strategies that can help mitigate their effect on the grid. Historically, power system operators have held excess capacity during the commitment and dispatch process to allow the system to handle unforeseen load ramping events. As variable generation resources increase, sufficient flexibility scheduled in the system is required to ensure that system performance is not deteriorated in the presence of additional variability and uncertainty. This paper presents a systematic comparison of various flexibility reserve strategies. Several of them are implemented and applied in a common test system, in order to evaluate their effect on the economic and reliable operations. Furthermore, a three stage reserve modifier algorithm is proposed and evaluated for its ability to improve system performance.
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- 2016
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8. A multiobjective optimization approach to the operation and investment of the national energy and transportation systems
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Eduardo Ibanez
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Mathematical optimization ,Engineering ,business.industry ,business ,Investment (macroeconomics) ,Multi-objective optimization ,Industrial engineering ,Energy (signal processing) - Published
- 2018
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9. Modeling the integrated expansion of the Canadian and US power sectors
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Eduardo Ibanez and Owen Zinaman
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Natural gas prices ,Wind power ,business.industry ,020209 energy ,Western Interconnection ,02 engineering and technology ,Renewable energy ,Microeconomics ,Electricity generation ,Management of Technology and Innovation ,0202 electrical engineering, electronic engineering, information engineering ,Economics ,Scenario analysis ,Business and International Management ,business ,Futures contract ,Industrial organization ,Hydropower ,Energy (miscellaneous) - Abstract
This paper presents the development effort that created a robust representation of the combined capacity expansion of the U.S. and Canadian electric sectors within the NREL ReEDS model. The abbreviated scenario analysis effort was designed to understand drivers behind various Canadian–U.S. power sector futures out to 2036. We model the impact of natural gas prices, increased Canadian hydropower deployment, and increased renewable energy (RE) penetrations. The sample results analyzed in this paper show the highly dynamic nature of the modeling tool as it performs a simultaneous optimization of the two countries’ generation portfolios. The interactions between the two countries go beyond energy generation and also include firm capacity contracts and renewable energy certificates (RECs). The reference scenario results show a significant increase in wind generation in both the United States and Canada with a gradual retirement of coal and nuclear energy. The evolution of net energy and firm capacity exchange was very dynamic through the span of the analysis period and drives significant investment in transmission capacity across the border, almost doubling the existing capacity of transmission lines. The exchange of energy was driven by regional stories. ISO-NE and NYISO import energy throughout the analysis period. However, in the Western Interconnection we observed increasing imports to Canada from the United States, whereas the exchanges with MISO switched directions.
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- 2016
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10. Capacity Value of Canadian Wind and the Effects of Decarbonization
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Eduardo Ibanez, Derek Stenclik, and Bahman Daryanian
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Engineering ,Wind power ,business.industry ,020209 energy ,Load modeling ,02 engineering and technology ,Environmental economics ,Capacity factor ,Environmental effect ,Electric power system ,0202 electrical engineering, electronic engineering, information engineering ,Operations management ,Capacity value ,Coal ,business ,Wind integration - Abstract
The Pan-Canadian Wind Integration Study (PCWIS) is the largest of its kind in Canada and was performed to better understand the operational implications of high penetration of wind energy in the power system. A rigorous calculation of the wind capacity value was performed to estimate the potential contribution of the resource to firm capacity. Once this capacity was calculated, the study team assessed the economic and environmental effect of retiring enough coal capacity so that total system's reserves would remain unchanged. The results are presented in this paper, along with a bookend sensitivity, where all of Canada's coal power is retired.
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- 2017
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11. Enhancing hydropower modeling in variable generation integration studies
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Mitch Clement, Michael Milligan, Gregory Brinkman, Eduardo Ibanez, Timothy Magee, and Edith Zagona
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Engineering ,Bridging (networking) ,business.industry ,Mechanical Engineering ,Production cost ,Environmental engineering ,Western Interconnection ,Building and Construction ,Pollution ,Industrial and Manufacturing Engineering ,Reliability engineering ,Renewable energy ,Electric power system ,General Energy ,Renewable generation ,Electrical and Electronic Engineering ,business ,Hydropower ,Civil and Structural Engineering - Abstract
The integration of large amounts of variable renewable generation can increase the demand on flexible resources in the power system. Conventional hydropower can be an important asset for managing variability and uncertainty in the power system, but multi-purpose reservoirs are often limited by non-power constraints. Previous large-scale variable generation integration studies have simulated the operation of the electric system under different penetration levels but often with simplified representations of hydropower to avoid complex non-power constraints. This paper illustrates the value of bridging the gap between power system models and detailed hydropower models with a demonstration case. The United States Western Interconnection is modeled with PLEXOS, and ten large reservoirs on the Columbia River are modeled with RiverWare. The results show the effect of detailed hydropower modeling on the power system and its benefits to the power system, such as the decrease in overall production cost and the reduction of variable generation curtailment.
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- 2014
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12. Modeling Operational Effects of Wind Generation Within National Long-Term Infrastructure Planning Software
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Cristian A. Lopez, Eduardo Ibanez, James D. McCalley, Venkat Krishnan, and Trishna Das
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Engineering ,Wind power ,business.industry ,Investment strategy ,Energy Engineering and Power Technology ,Network topology ,Investment (macroeconomics) ,Transport engineering ,Software ,Sustainability ,Electrical and Electronic Engineering ,business ,Resilience (network) ,Location - Abstract
This paper describes new investment planning software which is multi-sector (fuels, electric, and transportation), multiobjective, national, and long-term (40 years) that identifies a set of non-dominated national investment strategies. It optimizes three objectives: cost, emissions, and system resilience to major disruptions such as the Katrina and Rita hurricanes. Solutions are identified in terms of technologies (generation, transmission, fuel infrastructure, and transportation infrastructure), capacity, investment year, and geographic location. Network topology is respected. This paper focuses on modeling operational effects of growing wind generation in terms of regulation, reserves, ramping capability and capacity, and their influence on planning the future generation portfolios.
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- 2013
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13. Capacity value assessments for wind power
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Eduardo Ibanez, Hannele Holttinen, Michael Milligan, Lennart Söder, Juha Kiviluoma, and Bethany Frew
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Engineering ,Wind power ,010504 meteorology & atmospheric sciences ,Meteorology ,Renewable Energy, Sustainability and the Environment ,business.industry ,020209 energy ,02 engineering and technology ,01 natural sciences ,Energy engineering ,Reliability engineering ,0202 electrical engineering, electronic engineering, information engineering ,Environmental science ,Capacity value ,SDG 7 - Affordable and Clean Energy ,business ,ta218 ,0105 earth and related environmental sciences ,General Environmental Science - Abstract
This article describes some of the recent research into the capacity value of wind power. With the worldwide increase in wind power during the past several years, there is increasing interest and significance regarding its capacity value because this has a direct influence on the amount of other (nonwind) capacity that is needed. We build on previous reviews from IEEE and IEA Wind Task 25a and examine recent work that evaluates the impact of multiple-year data sets and the impact of interconnected systems on resource adequacy. We also provide examples that explore the use of alternative reliability metrics for wind capacity value calculations. We show how multiple-year data sets significantly increase the robustness of results compared to single-year assessments. Assumptions regarding the transmission interconnections play a significant role. To date, results regarding which reliability metric to use for probabilistic capacity valuation show little sensitivity to the metric.
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- 2017
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14. Reserve Estimation in Renewable Integration Studies
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Rishabh Jain, Bri-Mathias Hodge, Anthony R. Florita, Carlo Brancucci Martinez-Anido, Eduardo Ibanez, and Brady Stoll
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Estimation ,Electricity generation ,business.industry ,Energy agency ,Environmental science ,Renewable integration ,Electricity ,Environmental economics ,business ,Renewable energy - Abstract
In 2011, the International Energy Agency (IEA) reported that electricity from renewable sources accounted for 19.3% of the total world energy generation [1].
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- 2017
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15. Water and Climate Impacts on Power System Operations: The Importance of Cooling Systems and Demand Response Measures
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Jordan Macknick, Ella Zhou, Matthew O'Connell, Gregory Brinkman, Ariel Miara, Eduardo Ibanez, and Marissa Hummon
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- 2016
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16. Eastern Renewable Generation Integration Study
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Aaron Townsend, Caroline Draxl, Joshua Novacheck, Clayton Barrows, Jack King, David Palchak, Gary Jordan, Billy Roberts, Kenny Gruchalla, Aaron Bloom, Matthew O'Connell, and Eduardo Ibanez
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Presentation ,Engineering ,business.industry ,Process (engineering) ,media_common.quotation_subject ,Eastern Interconnection ,Renewable generation ,business ,Environmental planning ,Hydropower ,Renewable energy ,media_common - Abstract
This presentation provides a high-level overview of the Eastern Renewable Generation Integration Study process, scenarios, tools, goals, and a teaser of preliminary results.
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- 2016
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17. An Initial Evaluation of Siting Considerations on Current and Future Wind Deployment
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Eduardo Ibanez, Trieu Mai, Donna Heimiller, Eric Lantz, Suzanne Tegen, and Maureen Hand
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Engineering ,Wind power ,business.industry ,Software deployment ,Systems engineering ,Current (fluid) ,business ,Environmental planning - Published
- 2016
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18. A comprehensive comparison of current operating reserve methodologies
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Ibrahim Krad, Eduardo Ibanez, and Wenzhong Gao
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Engineering ,Wind power ,Operating reserve ,business.industry ,Emerging technologies ,020209 energy ,02 engineering and technology ,Reliability engineering ,Stand-alone power system ,Electric power system ,Base load power plant ,Distributed generation ,0202 electrical engineering, electronic engineering, information engineering ,Power-flow study ,business - Abstract
Electric power systems are currently experiencing a paradigm shift from a traditionally static system to a system that is becoming increasingly more dynamic and variable. Emerging technologies are forcing power system operators to adapt to their performance characteristics. These technologies, such as distributed generation and energy storage systems, have changed the traditional idea of a distribution system with power flowing in one direction into a distribution system with bidirectional flows. Variable generation, in the form of wind and solar generation, also increases the variability and uncertainty in the system. As such, power system operators are revisiting the ways in which they treat this evolving power system, namely by modifying their operating reserve methodologies. This paper intends to show an in-depth analysis on different operating reserve methodologies and investigate their impacts on power system reliability and economic efficiency.
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- 2016
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19. Impacts of short-term solar power forecasts in system operations
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Erik Ela, Bri-Mathias Hodge, Eduardo Ibanez, and Ibrahim Krad
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Wind power ,business.industry ,020209 energy ,Photovoltaic system ,02 engineering and technology ,Grid parity ,Reliability engineering ,Term (time) ,Electric power system ,Solar forecasting ,0202 electrical engineering, electronic engineering, information engineering ,Environmental science ,business ,Solar power ,Reliability (statistics) - Abstract
Solar generation is experiencing an exponential growth in power systems worldwide and, along with wind power, is posing new challenges to power system operations. Those challenges are characterized by an increase of system variability and uncertainty across many time scales: from days, down to hours, minutes, and seconds. Much of the research in the area has focused on the effect of solar forecasting across hours or days. This paper presents a methodology to capture the effect of short-term forecasting strategies and analyzes the economic and reliability implications of utilizing a simple, yet effective forecasting method for solar PV in intra-day operations.
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- 2016
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20. Multiobjective evolutionary algorithm for long-term planning of the national energy and transportation systems
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James D. McCalley and Eduardo Ibanez
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Economics and Econometrics ,Engineering ,National security ,Management science ,business.industry ,Emerging technologies ,Evolutionary algorithm ,Modular design ,Environmental economics ,Flow network ,Multi-objective optimization ,General Energy ,Modeling and Simulation ,Sustainability ,business ,Evolutionary programming - Abstract
The transportation and electric sectors are by far the largest producers of greenhouse emissions in the United States while they consume a significant amount of the national energy. The ever rising demand for these systems, the growing public concern on issues like global warming or national security, along with emerging technologies that promise great synergies between both (plug-in hybrid vehicles or electrified rail), creates the necessity for a new framework for long-term planning. This paper presents a comprehensive methodology to investigate long-term investment portfolios of these two infrastructures and their interdependencies. Its multiobjective nature, based on the NSGA-II evolutionary algorithm, assures the discovery of the Pareto front of solutions in terms of cost, sustainability and resiliency. The optimization is driven by a cost-minimization network flow program which is modified in order to explore the solution space. The modular design enables the use of metrics to evaluate sustainability and resiliency and better characterize the objectives that the systems must meet. An index is presented to robustly meet long-term emission reduction goals. An example of a high level representation of the continental United States through 2050 is presented and analyzed using the present methodology.
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- 2011
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21. Modeling the Integrated Expansion of the Canadian and U.S. Power Sectors with the Regional Energy Deployment System (ReEDS)
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Owen Zinaman, Donna Heimiller, Trieu Mai, Eduardo Ibanez, and Kelly Eurek
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Engineering ,Software deployment ,business.industry ,Mechanical engineering ,business ,Civil engineering ,Energy (signal processing) ,Power (physics) ,Renewable energy - Published
- 2015
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22. Carolina Offshore Wind Integration Case Study: Phases I and II Final Technical Report
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Christopher Fallon, Jaclyn D. Frank, Lisa Salvador, Shu Liu, Bob Burner, M. Heaney, Bob Pierce, Eduardo Ibanez, Aaron Bloom, Jinxiang Zhu, Maria Moore, Yingchen Zhang, Dennis Elliott, William Hazelip, Orvane Piper, Rebecca Ashby, Jeffrey Peterson, Harvey E. Seim, Ken Pennock, Tom Pruitt, Yishan Zhao, and John P. Daniel
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Engineering ,Offshore wind power ,Wind power ,Meteorology ,Transmission (telecommunications) ,business.industry ,Technical report ,business ,Marine engineering - Published
- 2015
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23. Quantifying the Potential Impacts of Flexibility Reserve on Power System Operations
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Ibrahim Krad, Erik Ela, and Eduardo Ibanez
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Flexibility (engineering) ,Electric power system ,Engineering ,Schedule ,Operating reserve ,business.industry ,Capacity utilization ,business ,Hedge (finance) ,Reliability (statistics) ,Scheduling (computing) ,Reliability engineering - Abstract
Power system operators schedule additional capacity above or below the amount required to meet the expected demand at any time interval to ensure reliable operation. This excess capacity is known as operating reserve. This reserve helps protect against the inherent variability and uncertainty found in the system. As more variable generation resources are connected to the system, the amount of variability and uncertainty is expected to increase. To hedge against this, new operating strategies are being explored. These strategies include developing additional ancillary services and modifying scheduling strategies. This paper presents the results of simulating an additional operating reserve product, referred to as "flexibility reserve," on the IEEE 118-bus test system, and it presents the operational implications on costs, reliability, and pricing that this additional operating reserve may produce.
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- 2015
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24. National Offshore Wind Energy Grid Interconnection Study Executive Summary
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John P. Daniel, Eduardo Ibanez, Spencer Hanes, Ken Pennock, Gregory Reed, and Shu Liu
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Offshore wind power ,Engineering ,Interconnection ,Wind power ,Executive summary ,business.industry ,Transmission system ,business ,Grid ,Marine engineering - Abstract
The National Offshore Wind Energy Grid Interconnection Study (NOWEGIS) considers the availability and potential impacts of interconnecting large amounts of offshore wind energy into the transmission system of the lower 48 contiguous United States.
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- 2014
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25. National Offshore Wind Energy Grid Interconnection Study Full Report
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Ken Pennock, Spencer Hanes, Gregory Reed, Eduardo Ibanez, Shu Liu, and John P. Daniel
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Engineering ,Interconnection ,Offshore wind power ,Wind power ,Meteorology ,business.industry ,business ,Grid ,Marine engineering - Published
- 2014
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26. A systematic comparison of operating reserve methodologies
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Ibrahim Krad, Eduardo Ibanez, and Erik Ela
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Flexibility (engineering) ,Variable (computer science) ,Electric power system ,Engineering ,Reserve requirement ,Wind power ,Operating reserve ,business.industry ,Distributed generation ,Intermittent energy source ,business ,Reliability engineering - Abstract
Operating reserve requirements are a key component of modern power systems, and they contribute to maintaining reliable operations with minimum economic impact. No universal method exists for determining reserve requirements, thus there is a need for a thorough study and performance comparison of the different existing methodologies. Increasing penetrations of variable generation (VG) on electric power systems are posed to increase system uncertainty and variability, thus the need for additional reserve also increases. This paper presents background information on operating reserve and its relationship to VG. A consistent comparison of three methodologies to calculate regulating and flexibility reserve in systems with VG is performed.
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- 2014
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27. Representation of the solar capacity value in the ReEDS capacity expansion model
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Eduardo Ibanez, Robert Margolis, Ben Sigrin, and Patrick Sullivan
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Nameplate capacity ,Capacity planning ,business.industry ,Distributed generation ,Photovoltaic system ,Electrical engineering ,Grid-connected photovoltaic power system ,Environmental science ,business ,Solar energy ,Grid parity ,Reliability engineering ,Renewable energy - Abstract
An important emerging issue is the estimation of renewables' contributions to reliably meeting system demand, or their capacity value. While the capacity value of thermal generation can be estimated easily, assessment of wind and solar requires a more nuanced approach due to resource variability. Reliability-based methods, particularly, effective load-carrying capacity (ELCC), are considered to be the most robust techniques for addressing this resource variability. The Regional Energy Deployment System (ReEDS) capacity expansion model and other long-term electricity capacity planning models require an approach to estimating CV for generalized PV and system configurations with low computational and data requirements. In this paper we validate treatment of solar photovoltaic (PV) capacity value by ReEDS capacity expansion model by comparing model results to literature for a range of energy penetration levels. Results from the ReEDS model are found to compare well with both comparisons—despite not being resolved at an hourly scale.
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- 2014
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28. Impacts of Variability and Uncertainty in Solar Photovoltaic Generation at Multiple Timescales
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Erik Ela, V. Diakov, M. Heaney, and Eduardo Ibanez
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Engineering ,business.industry ,Photovoltaics ,Distributed generation ,Photovoltaic system ,Grid-connected photovoltaic power system ,business ,Solar energy ,Engineering physics ,Simulation ,Solar power ,Grid parity - Published
- 2013
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29. Hydro power flexibility for power systems with variable renewable energy sources: an IEA Task 25 collaboration
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Sergio Martín Martínez, Luis Rodrigues, Juha Kiviluoma, Antje Orths, Daniel Huertas-Hernando, P.B. Eriksen, Luis Carr, Nickie Menemenlis, Lennart Söder, Eduardo Ibanez, Hossein Farahmand, Hannele Holttinen, Emilio Gómez-Lázaro, Ana Estanqueiro, Alain Forcione, Michael Milligan, Erkka Rinne, and Serafin van Roon
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Flexibility (engineering) ,Engineering ,Renewable Energy, Sustainability and the Environment ,business.industry ,020209 energy ,Mechanical engineering ,02 engineering and technology ,010501 environmental sciences ,01 natural sciences ,Task (project management) ,Variable (computer science) ,Electric power system ,Variable renewable energy ,Electricity generation ,Hydro power ,Distributed generation ,0202 electrical engineering, electronic engineering, information engineering ,SDG 7 - Affordable and Clean Energy ,Process engineering ,business ,ta218 ,0105 earth and related environmental sciences ,General Environmental Science - Abstract
Hydro power is one of the most flexible sources of electricity production. Power systems with considerable amounts of flexible hydro power potentially offer easier integration of variable generation, e.g., wind and solar. However, there exist operational constraints to ensure mid-/long-term security of supply while keeping river flows and reservoirs levels within permitted limits. In order to properly assess the effective available hydro power flexibility and its value for storage, a detailed assessment of hydro power is essential. Due to the inherent uncertainty of the weather-dependent hydrological cycle, regulation constraints on the hydro system, and uncertainty of internal load as well as variable generation (wind and solar), this assessment is complex. Hence, it requires proper modeling of all the underlying interactions between hydro power and the power system, with a large share of other variable renewables. A summary of existing experience of wind integration in hydro-dominated power systems clearly points to strict simulation methodologies. Recommendations include requirements for techno-economic models to correctly assess strategies for hydro power and pumped storage dispatch. These models are based not only on seasonal water inflow variations but also on variable generation, and all these are in time horizons from very short term up to multiple years, depending on the studied system. Another important recommendation is to include a geographically detailed description of hydro power systems, rivers' flows, and reservoirs as well as grid topology and congestion.
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- 2016
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30. Impact of transmission on resource adequacy in systems with wind and solar power
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Eduardo Ibanez and Michael Milligan
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Electric power system ,Stand-alone power system ,Power transmission ,Engineering ,Wind power ,Power station ,business.industry ,Distributed generation ,Western Interconnection ,business ,Solar power ,Reliability engineering - Abstract
Variable generation is on track to become a significant contributor to electric power systems worldwide. Thus, it is important to analyze the effect that renewables will have on the reliability of systems. In this paper we present a new tool being implemented at the National Renewable Energy Laboratory, which allows the inclusion of variable generation in the power system resource adequacy. The tool is used to quantify a first estimate of the potential contribution of transmission to reliability in highly interconnected systems and an example is provided using the Western Interconnection footprint.
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- 2012
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31. National long-term investment planning for energy and transportation systems
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Arun K. Somani, Robert C. Brown, James D. McCalley, Konstantina Gkritza, Dionysios C. Aliprantis, Yang Gu, Lizhi Wang, and Eduardo Ibanez
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Transportation planning ,Engineering ,business.industry ,media_common.quotation_subject ,Evolutionary algorithm ,Energy planning ,Flow network ,Transport engineering ,Interdependence ,Work (electrical) ,Risk analysis (engineering) ,Sustainability ,Software design ,business ,media_common - Abstract
The most significant energy consuming infrastructures and the greatest contributors to greenhouse gases in the US today are electric and freight/passenger transportation systems. Technological alternatives for producing, transporting, and converting energy for electric and transportation systems are numerous. Selecting from among them requires long-term assessment since these capital-intensive infrastructures take years to build with lifetimes approaching a century. The advent of electrified transportation creates interdependencies between the two infrastructures that may be both problematic and beneficial. We are developing modeling capability to perform long-term electric/transportation infrastructure design at a national level, accounting for their interdependencies. The approach combines network flow/DC-flow modeling with a multiobjective solution method. We motivate the need for this work by summarizing attributes and issues related to the investment planning problem so as to find minimum-cost, low-emission, resilient infrastructure portfolios for the future. State-of-the-art energy planning models are summarized, and we describe our software design which includes a multiobjective evolutionary algorithm with a network linear programming cost minimization fitness evaluation, together with metrics for evaluating resiliency and sustainability.
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- 2010
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32. Interdependencies between Energy and Transportation Systems for National Long Term Planning
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Dionysios C. Aliprantis, Arun K. Somani, Konstantina Gkritza, Eduardo Ibanez, James D. McCalley, Lizhi Wang, and Robert C. Brown
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Truck ,Transport engineering ,Interdependence ,Transportation planning ,Computer science ,media_common.quotation_subject ,Greenhouse gas ,Sustainability ,Train ,Energy planning ,Flow network ,media_common - Abstract
The most significant energy consuming infrastructures and the greatest contributors to greenhouse gases for any nation today are electric and freight/passenger transportation systems. Technological alternatives for producing, transporting, and converting energy for electric and transportation systems are numerous. Addressing costs, sustainability, and resiliency of electric and transportation needs requires long-term assessment since these capital-intensive infrastructures take years to build with lifetimes approaching a century. Yet, the advent of electrically driven transportation, including cars, trucks, and trains, creates potential interdependencies between the two infrastructures that may be both problematic and beneficial. We are developing modeling capability to perform long-term electric and transportation infrastructure design at a national level, accounting for their interdependencies. The approach combines network flow modeling with a multiobjective solution method. We describe and compare it to the state-of-the-art in energy planning models. An example is presented to illustrate important features of this new approach.
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- 2010
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33. Resilience and robustness in long-term planning of the national energy and transportation system
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Konstantina Gkritza, Diego Mejia-Giraldo, Arun K. Somani, James D. McCalley, Venkat Krishnan, Eduardo Ibanez, and Steven M. Lavrenz
- Subjects
Truck ,Transportation planning ,Engineering ,business.industry ,020209 energy ,02 engineering and technology ,Energy consumption ,Energy planning ,Flow network ,Transport engineering ,General Energy ,Sustainable transport ,Risk analysis (engineering) ,Sustainability ,0202 electrical engineering, electronic engineering, information engineering ,Train ,Safety, Risk, Reliability and Quality ,business ,General Environmental Science - Abstract
The most significant energy consuming infrastructures and the greatest contributors to greenhouse gases for any developed nation today are electric and freight/passenger transportation systems. Technological alternatives for producing, transporting and converting energy for electric and transportation systems are numerous. Addressing costs, sustainability and resilience of electric and transportation needs requires long-term assessment since these capital-intensive infrastructures take years to build with lifetimes approaching a century. Yet, the advent of electrically driven transportation, including cars, trucks and trains, creates potential interdependencies between the two infrastructures that may be both problematic and beneficial. We are developing modelling capability to perform long-term electric and transportation infrastructure design at a national level, accounting for their interdependencies. The approach combines network flow modelling with a multi-objective solution method. We describe and compare it to the state of the art in energy planning models. An example is presented to illustrate important features of this new approach.
- Published
- 2016
- Full Text
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