A
Ahmad Nikoobakht
Researcher at Shiraz University of Technology
Publications - 39
Citations - 908
Ahmad Nikoobakht is an academic researcher from Shiraz University of Technology. The author has contributed to research in topics: Electric power system & Wind power. The author has an hindex of 17, co-authored 34 publications receiving 580 citations.
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Assessing Increased Flexibility of Energy Storage and Demand Response to Accommodate a High Penetration of Renewable Energy Sources
TL;DR: This paper aims to provide a systematic approach to evaluate the level of flexibility of a power system by unequivocally considering fast-ramping units (FRU), hourly demand response (DR) and energy storage (ES) and an “online” index.
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Flexible power system operation accommodating uncertain wind power generation using transmission topology control: an improved linearised AC SCUC model
TL;DR: In this paper, an improved linearized AC optimal power flow (ILACOPF) model is provided in order to optimise the stochastic security constrained unit commitment (SSCUC) problem.
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Robust planning of distributed battery energy storage systems in flexible smart distribution networks: A comprehensive study
Seyed Aboozar Bozorgavari,Jamshid Aghaei,Jamshid Aghaei,Sasan Pirouzi,Ahmad Nikoobakht,Hossein Farahmand,Magnus Korpås +6 more
TL;DR: To model the uncertain parameters in the proposed problem including forecasted active and reactive loads, energy and charging/discharging prices and the output power of vRES, the bounded uncertainty-based robust optimization (BURO) framework is proposed in the next step.
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IGDT-based robust optimal utilisation of wind power generation using coordinated flexibility resources
Ahmad Nikoobakht,Jamshid Aghaei +1 more
TL;DR: In this article, the authors investigated the application of a robust method to solve the problem of security constrained unit commitment (SCUC) with flexible resources for managing the uncertainty of significant wind power generation (WPG) to sustain the load-generation balance.
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Self-Scheduling Approach to Coordinating Wind Power Producers With Energy Storage and Demand Response
Ali Jamali,Jamshid Aghaei,Masoud Esmaili,Ahmad Nikoobakht,Taher Niknam,Miadreza Shafie-khah,Joao P. S. Catalao +6 more
TL;DR: A stochastic bidding strategy based on virtual power plants to increase the profit of WPPs in short-term electricity markets in coordination with energy storage systems and demand response is proposed.