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Battery energy storage systems and demand response applied to power system frequency control

Hosseini, S.A ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1016/j.ijepes.2021.107680
  3. Publisher: Elsevier Ltd , 2022
  4. Abstract:
  5. In this paper, several new control strategies for employing the battery energy storage systems (BESSs) and demand response (DR) in the load frequency control (LFC) task are proposed. In this way, first, the unit commitment problem considering the BESSs’ constraints in presence of wind farms and responsive loads is solved and the best location and the optimal size of the BESSs as well as the regulation power of the responsive loads are obtained. A rule-based plan is then suggested to improve the frequency regulation considering participation of wind farms. This plan is takes into account different states associated with power system frequency response as well as BESSs’ state of charge (SOC). The demand response (DR) program is another solution to enhance the frequency regulation which suffers from communication delay. To meet this issue, an adaptive latency compensator (ALC) is also designed here which consists of some fixed weighted compensators. The suggested ALC is a real time compensator in which the weights of fixed compensators are updated according to the amount of latency. To reach optimal response, the parameters of controllers in AGC and DR loops are tuned using the genetic algorithm (GA). To evaluate the proposed algorithms, some simulation studies are conducted in the IEEE 39-bus test power system. Results confirm the effectiveness of the proposed methods. © 2021 Elsevier Ltd
  6. Keywords:
  7. Adaptive latency compensator (ALC) ; Battery energy storage systems (BESSs) ; Demand response (DR) ; Load frequency control (LFC) ; State of charge (SOC) ; Battery management systems ; Battery storage ; Charging (batteries) ; Electric control equipment ; Electric frequency control ; Electric load management ; Electric utilities ; Frequency response ; Genetic algorithms ; Press load control ; Secondary batteries ; Adaptive latency ; Adaptive latency compensator ; Battery energy storage system ; Battery energy storage systems ; Demand response ; Load frequency control ; Load-frequency control ; State of charge ; States of charges ; Wind power
  8. Source: International Journal of Electrical Power and Energy Systems ; Volume 136 , 2022 ; 01420615 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0142061521009108