Energy Storage System Analysis Review for Optimal Unit Commitment

Harun Or Rashid Howlader, Oludamilare Bode Adewuyi, Ying-Yi Hong, Paras Mandal, Ashraf Mohamed Hemeida and Tomonobu Senjyu
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Harun Or Rashid Howlader: Graduate School of Science and Engineering, University of the Ryukyus, Okinawa 903-0213, Japan
Oludamilare Bode Adewuyi: Graduate School of Science and Engineering, University of the Ryukyus, Okinawa 903-0213, Japan
Ying-Yi Hong: Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan 32023, Taiwan
Paras Mandal: Department of Electrical and Computer Engineering, University of Texas, El Paso, TX 79968, USA
Ashraf Mohamed Hemeida: Faculty of Energy Engineering, Aswan University, Aswan 81528, Egypt
Tomonobu Senjyu: Graduate School of Science and Engineering, University of the Ryukyus, Okinawa 903-0213, Japan

Energies, 2019, vol. 13, issue 1, 1-21

Abstract: Energy storage systems (ESSs) are essential to ensure continuity of energy supply and maintain the reliability of modern power systems. Intermittency and uncertainty of renewable generations due to fluctuating weather conditions as well as uncertain behavior of load demand make ESSs an integral part of power system flexibility management. Typically, the load demand profile can be categorized into peak and off-peak periods, and adding power from renewable generations makes the load-generation dynamics more complicated. Therefore, the thermal generation (TG) units need to be turned on and off more frequently to meet the system load demand. In view of this, several research efforts have been directed towards analyzing the benefits of ESSs in solving optimal unit commitment (UC) problems, minimizing operating costs, and maximizing profits while ensuring supply reliability. In this paper, some recent research works and relevant UC models incorporating ESSs towards solving the abovementioned power system operational issues are reviewed and summarized to give prospective researchers a clear concept and tip-off on finding efficient solutions for future power system flexibility management. Conclusively, an example problem is simulated for the visualization of the formulation of UC problems with ESSs and solutions.

Keywords: energy storage systems; power system flexibility management; renewable energy generations; load leveling; optimal unit commitment (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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