Search

With the increase in the grid-connected scale of new energy, the ability to flexibility regulate a power system is greatly challenged. Since a variable speed pumped storage (VSPS) unit has a wider power regulation range and higher operation efficiency than conventional pumped storage (CPS), this study focuses on improving system flexibility with the VSPS unit. First, the probabilistic characteristics of forced outages affecting the flexibility of power units are studied. Considering the uncertainty of the net load prediction error, a probabilistic density method is proposed to quantify the flexibility of the power system. Second, in order to improve the flexibility of the system and take into account the comprehensive benefits of the VSPS unit, an optimization model for the VSPS unit to improve the flexibility of the grid was established based on bacterial colony chemotaxis that takes into consideration the operational constraints of the VSPS unit. Finally, to verify the effectiveness of the proposed optimization strategy using simulation, the proposed optimization model is used to compare the advantages of the VSPS unit's ability to regulate system flexibility with a conventional pumped storage unit. [ABSTRACT FROM AUTHOR]

Heishanxia Key Water Control Project is given a new and higher positioning in the new era. As the center and main power source of multi energy complementary clean energy base, it will give full play to the capacity role of hydropower, meet the peak shaving and new energy consumption needs of the power system better, and assist in achieving the goals of carbon peak and carbon neutrality. This paper studied the optimization and adjustment of the installed scale of Heishanxia Key Water Control Project, analyzed the boundary conditions that the development of Heishanxia section was restricted by the regional comprehensive demand, calculated the output and peak shaving indexes of the hydropower station in each frequency year, proposed several adjustment schemes of the installed scale and made a comparative analysis. According to the research, Heishanxia Hydropower Station has the best power generation and peak shaving indicators in wet years, low average output and small adjustable output in dry years. Its peak shaving capacity is restricted by the power generation in dry years. It is more appropriate to increase the installed capacity of the station from 2 million kW to 2.4 million kW in each installed scale adjustment scheme. After the installed capacity is increased, the power generation will increase by 310 million kWh, and the guaranteed output will increase by 400 kW, the average adjustable output in dry years increases by 8 000 kW and 13 000 kW in the whole year and non ice flood season respectively, and the maximum peak shaving capacity increases by 233 000 kw and 400 000 kW in the whole year and non ice flood season respectively, which can bring better power generation benefits. [ABSTRACT FROM AUTHOR]

Copyright of Natural Gas Industry is the property of Natural Gas Industry Journal Agency and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to further improve the operation level of the thermal power units of the provincial grid thermal power plant, optimize the data quality of the online monitoring system of the provincial thermal power units, through the diagnosis and analysis of the operation data of the thermal power online monitoring system, and from an all-round perspective, analyze and evaluate the peak shaving and frequency modulation capabilities of the heat supply units of the thermal power plant from the aspects of the load carrying capacity of the heat supply units, the optimization of the startup mode of the whole plant, and the heating capacity, to provide support for the accurate scheduling of the heat supply units. This paper analyzes the heat supply, peak regulation and frequency regulation capacity of the whole thermal power plant through the operation data, draws the peak regulation interval and heat supply capacity interval, and provides support for the optimal operation of the whole plant.

An increasing share of electric vehicles can mean excessive peak loads in low-voltage power distribution networks. Introducing peak shaving mechanisms to the charging systems, such overloads can be mitigated significantly. The first contribution of this study is to quantify the amount of flexibility that electric vehicles can contribute to peak load reduction so that the drivers can still fully charge the batteries of their vehicles. The second contribution is that the study presents and compares two optimisation strategies for peak load reduction. The work is based on real charging data covering about 25,000 charging sessions at various charging sites in the metropolitan area of the Finnish capital city. The main finding is that the peak loads at charging sites can be reduced by up to 55%. Another important result is that load reduction through low-power charging is achievable only if the average parking time at the charging site is >3 h, without affecting the user experience negatively. It is also found out that the average parking time is over 2 h longer than the average charging time, which indicates the enormous potential of electric vehicles in peak shaving.

Copyright of Natural Gas Industry is the property of Natural Gas Industry Journal Agency and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We summarize the significant contributions of the proposed method as follows: • The proposed robust optimization model for demand response appropriately accounts for the interdependence of various electric and heat flexible loads. • The system's peak shaving ability is evaluated by simultaneously considering the impact of PMV indicators and the uncertainty of flexible electric load. • The proposed robust optimization model is applicable for analyzing the advantages of thermoelectric demand response compared to single energy demand response. A robust optimization model for combined heat and power demand response is proposed in this paper, which aims to increase the capacity of peak regulation. The model considers three types of electric flexible loads: interruptible loads, shiftable loads, and transferable loads. The predicted mean vote index is introduced to measure the ambiguity of user's temperature perception and combined with the temperature autoregressive moving average to construct a thermal flexible load model. Robust optimization is employed to address uncertainties in wind power output and flexible electric load response, aiming to meet higher-level peak regulation. The case study indicates that the integrated demand response can effectively decouple the rigid correlation between electricity and heat load, exhibiting remarkable robustness and cost-effectiveness. This research has the potential to enhance the benefits of both microgrid and grid systems. [Display omitted] [ABSTRACT FROM AUTHOR]