Binary-phase service battery energy storage system strategy for peak demand shaving and enhanced power quality

Abstract

Owing to nonlinear and large consumer loads, power grid system operators encounter major challenges in matching the generated power supply to consumer power demand to smooth out the high-peak load demands and mitigate the voltage and current disturbances within the electrical grid. A battery energy storage system (BESS) is employed as a two-phase control technique to minimize the peak load demand of the system and enhance the power quality within the electrical grid system. The phase I control strategy presents a robust artificial neural network control, which is implemented considering the BESS state-of-charge (SoC) and operation time-of-day (ToD) of the customers’ loads to identify load peaks at each period of the day to effectively reduce the high-load demand. Moreover, in the phase II control strategy, a customized BESS-hybrid series-shunt active power filter (B-HSSAF) is presented to effectively mitigate the grid disturbances, which results in an enhanced grid system as suggested by the simulation results. The total harmonic distortion values after compensation using the B-HSSAF satisfy IEEE standard 519, and the power grid is enhanced. Furthermore, qualitative discussions of the optimal location of the BESS and dynamic thermal rating integration which are limitations of this paper are concisely presented with recommended further studies that can be taken into consideration.