Search

Your search keyword '"Fotuhi-Firuzabad, Mahmud"' showing total 798 results
Start Over Author "Fotuhi-Firuzabad, Mahmud"
798 results on '"Fotuhi-Firuzabad, Mahmud"'

1. Contributors

Author

Abusorrah, Abdullah, primary, Aghajan-Eshkevari, Saleh, additional, Aghamohammadi, Mohammad Reza, additional, Ahmadi, Seyed Ehsan, additional, Ameli, Hossein, additional, Ameli, Mohammad Taghi, additional, Amiri, Mohammad Mehdi, additional, Aryanfar, Mohammad, additional, Azad, Sasan, additional, Dehghanian, Payman, additional, De Silva, L.C., additional, Fahim, Khairul Eahsun, additional, Fotuhi-Firuzabad, Mahmud, additional, Ghobadi, Mahtab, additional, Jalilian, Ali, additional, Jalilpoor, Kamran, additional, Kalinaki, Kassim, additional, Kenari, Meghdad Tourandaz, additional, Laaksonen, Hannu, additional, Marzband, Mousa, additional, Masali, Milad Hadizadeh, additional, Momen, Abolghasem, additional, Mosallanejad, Ali, additional, Nazari-Heris, Morteza, additional, Paeizi, Ali, additional, Pashiri, Navid Talaei, additional, Peyghami, Saeed, additional, Rahmani-Sane, Ghazal, additional, Ranjbar, Mohammad Amin, additional, Sepasian, Mohammad Sadegh, additional, Shafie-Khah, Miadreza, additional, Shahbazbegian, Vahid, additional, Sharifpour, Masoumeh, additional, Siavash-Abkenari, Nazanin, additional, Strbac, Goran, additional, Tavakoli, Mohsen, additional, Yassin, Hayati, additional, and Zandrazavi, Seyed Farhad, additional

Published
2024
Full Text
View/download PDF

6. A Logic-Based Mixed-Integer Nonlinear Programming Model to Solve Non-Convex and Non-Smooth Economic Dispatch Problems: An Accuracy Analysis

Author

Pourakbari-Kasmaei, Mahdi, Fotuhi-Firuzabad, Mahmud, and Mantovani, Jose Roberto Sanches

Subjects
Mathematics - Optimization and Control
Abstract

This paper presents a solver-friendly logic-based mixed-integer nonlinear programming model (LB-MINLP) to solve economic dispatch (ED) problems considering disjoint operating zones and valve-point effects. A simultaneous consideration of transmission losses and logical constraints in ED problems causes difficulties either in the linearization procedure, or in handling via heuristic-based approaches, and this may result in outcome violation. The non-smooth terms can make the situation even worse. On the other hand, non-convex nonlinear models with logical constraints are not solvable using the existing nonlinear commercial solvers. In order to explain and remedy these shortcomings, we proposed a novel recasting strategy to overcome the hurdle of solving such complicated problems with the aid of the existing nonlinear solvers. The proposed model can facilitate the pre-solving and probing techniques of the commercial solvers by recasting the logical constraints into the mixed-integer terms of the objective function. It consequently results in a higher accuracy of the model and better computational efficiency. The acquired results demonstrated that the LB-MINLP model, compared to the existing (heuristic-based and solver-based) models in the literature, can easily handle the non-smooth and nonlinear terms and achieve an optimal solution much faster and without any outcome violation.

Published
2018

17. Contributors

Author

Abdollahi, Amir, primary, Afshar, Shahab, additional, Afzal, Muhammad, additional, Al Mtaw, Yaser, additional, Amin, Waqas, additional, Conte, F., additional, D’Agostino, F., additional, Dayaratne, Thusitha Thilina, additional, Delkhosh, Hamed, additional, Ding, Jianguo, additional, Disfani, Vahid R., additional, Eghbal, Daniel, additional, Fattaheian-Dehkordi, Sajjad, additional, Foo Eddy, Yi Shyh, additional, Fotuhi-Firuzabad, Mahmud, additional, Gharehpetian, Gevork B., additional, Gooi, Hoay Beng, additional, Griffin, James, additional, Haqu, Anwar, additional, Heleno, Miguel, additional, Huang, Qi, additional, Jain, Li, additional, Jäntti, Anssi, additional, Jäntti, Maarit, additional, Jorjani, Mohsen, additional, Karimi, Ali, additional, Liebman, Ariel, additional, Macedo, Pablo, additional, Marques, Luciana, additional, Moghaddam, Mohsen Parsa, additional, Montenegro, Davis, additional, Naserinia, Vahid, additional, Nasiri, Saeed, additional, Nasri, Amirhossein, additional, Noorizadeh, Yousef, additional, Peng, Wei, additional, Rashidinejad, Masoud, additional, Rudolph, Carsten, additional, Salehi, Mahsa, additional, Shafie-khah, Miadreza, additional, Siano, Pierluigi, additional, Silvestro, F., additional, Sioshansi, Fereidoon P., additional, Tarashandeh, Nader, additional, Taylor, Jason, additional, Tofighi-Milani, Mahyar, additional, Umer, Khalid, additional, Uturbey, Wadaed, additional, Wang, Fei, additional, Wasti, Shailesh, additional, Yousefian, Morteza, additional, Zamani, Reza, additional, and Zolfaghari, Mahdi, additional

Published
2022
Full Text
View/download PDF

30. Guest Editorial: EV charging impacts on power system.

Author

Pourakbari Kasmaei, Mahdi, Hatziargyriou, Nikos, Roberto Sanches Mantovani, José, Fotuhi‐Firuzabad, Mahmud, and Contreras, Javier

Subjects
ELECTRIC vehicle charging stations, ELECTRIC utilities, ELECTRIC power distribution, REINFORCEMENT learning, SMART power grids, DEEP reinforcement learning, ELECTRIC transients
Abstract

This article explores the impact of electric vehicle (EV) charging on power systems and emphasizes the importance of careful analysis and planning. It discusses various topics related to EV charging, including EV hosting capacity, optimal placement of EVs and charging stations, technical impacts of Vehicle-to-Grid (V2G) technology, shared vehicle rental, decentralised collaboration frameworks, intelligent energy management schemes, EV demand response, and optimal sizing and siting of public EV charging stations. The article provides valuable insights and solutions for utilities, academia, and policymakers to address the challenges and opportunities associated with EV charging. Additionally, the article introduces a new approach for determining the limits of transformers and overhead lines in relation to EV charging, using Monte Carlo simulations and proposing new parameters for evaluating maximum demands. The authors stress the need for further analysis and attention to the impact of EVs on power systems. [Extracted from the article]

Published
2024
Full Text
View/download PDF

37. Guest editorial: Reliability and resilience modelling, assessment, and enhancement of modern power systems with proliferation of grid‐edge resources.

Author

Fotuhi‐Firuzabad, Mahmud

Subjects
*SMART power grids, *POWER electronics, *INTERCONNECTED power systems, *RENEWABLE energy sources, *ELECTRIC power systems, *CONVOLUTIONAL neural networks, *ELECTRICAL engineering
Abstract

This document is a guest editorial from the journal IET Generation, Transmission & Distribution. It emphasizes the need to improve the reliability and resilience of modern power systems in the face of various threats. The editorial highlights the importance of modeling, assessing, and enhancing the reliability and resilience of power grids that are increasingly incorporating grid-edge resources. The document also provides a summary of the papers included in a special issue of the journal, which cover topics such as planning reliable energy systems, analyzing power grid operations, and enhancing service restoration and grid-support load response. Additionally, the text discusses the issue of equity in power distribution system restoration processes and proposes a model called the equity-aware power distribution system restoration model. The model aims to balance equity and resilience in restoring power after outages by focusing on fair distribution of energy resources while maintaining operational efficiency. The text also includes brief biographies of several authors who have contributed to the field of power electronics and power system reliability. [Extracted from the article]

Published
2024
Full Text
View/download PDF

44. Coordinating Demand Response and Wind Turbine Controls for Alleviating the First and Second Frequency Dips in Wind-Integrated Power Grids

Author

Hosseini, Seyed Amir, Fotuhi-Firuzabad, Mahmud, Dehghanian, Payman, and Lehtonen, Matti

Abstract

This article introduces a method employing demand response (DR) and wind turbine (WT) to decrease the first and second frequency dips in power systems with the massive proliferation of wind resources. Inverter air conditioners (IACs) are utilized to participate in the DR program. The buildings' thermal model and the IACs' electrical model are integrated to characterize a relation between power system frequency and IACs regulation power. An adaptive delay controller is presented to capture the command communication delays from the DR controller to IACs. In addition, a controller is suggested to adopt wind power plants in system frequency regulation. This controller rises the wind plant output power for some seconds and returns it, following frequency recovery, to the initial power. The recovery period causes the second frequency dip, in response to which, a method is introduced to identify the moment of the second dip and alleviate it via DR.

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results