Customer Buses Ranking for Battery Energy Storage System Installation through Pairwise Analyses: a Study of Case

Battery Energy Storage Systems (BESSs) support the operation of Distributed Generation (DG) and mitigate the issues related to the solar intermittency of Photovoltaic (PV) generation. However, the BESS benefits depend on its planning, considering the effect of DG power injection in Distribution System (DS) feeders. So, this paper presents the ranking of customer buses supplied in Low Voltage (LV) in order to install lithium BESS in DG plants based on PV systems, under a R&D project, whose goal is to study the impact of BESS in urban DS feeders. The bus ranking and BESS allocation problem was solved through Analytic Hierarchy Process (AHP), because this technique allows to evaluate the alternatives computing technical criteria related to electrical magnitudes, and subjective criteria related to customer aspects. The main contributions achieved were the model from the hierarchical structure of BESS allocation problem, the weights obtained with adapted pairwise analyses resulted of specialists evaluation which reduces Saaty scale complexity, and the LV-customer-buses ranking for three different scenarios.