Battery energy storage for management of LV network operational violations: a multi-feeder analysis

Abstract

With increasing penetration of rooftop PV systems on UK LV networks, it is becoming more likely that specific LV networks will experience unacceptable line congestion and voltage rises. In this study, we use Mixed Integer Quadratically Constrained Program (MIQCP) formulations to examine the possibility of eliminating these violations via aggregation and control of behind-the-meter (BTM) battery energy storage systems (BESSs), therefore delaying traditional reinforcement. By applying the formulations to 29 UK LV feeders, we examine the trends between the violation control capability of each method and a set of feeder topology metrics, to determine whether the suitability of networks to violation management strategies may be predicted from easy to obtain metrics, rather than extensive power flow modelling. It is found that instances in which BESSs may be reliably used to manage violations exist but are infrequent,