TY - JOUR
T1 - Battery energy storage systems and demand response applied to power system frequency control
AU - Hosseini, Seyed Amir
A2 - Toulabi, Mohammadreza
A2 - Ashouri-Zadeh, Alireza
A2 - Ranjbar, Alimohammad
PY - 2022/3
Y1 - 2022/3
N2 - 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.
AB - 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.
U2 - 10.1016/j.ijepes.2021.107680
DO - 10.1016/j.ijepes.2021.107680
M3 - Journal article
SN - 0142-0615
VL - 136
JO - International Journal of Electrical Power & Energy Systems
JF - International Journal of Electrical Power & Energy Systems
M1 - 107680
ER -