Multiple-objective Optimal Siting of Energy Storage Systems in Electric Power Distribution Systems

This study centers on the connection location and capacity configuration of battery based energy storage facilities in the current power distribution systems, as well as the optimization scheduling of various types of energy storage devices in the integrated energy systems. When exploring the selection of energy storage system sites, we consider the constraints imposed by energy storage operation and distribution network system operation. To this end, this work develops a multi-objective optimization model to address the optimal configuration of allocation and capacity of electric power distribution networks. The optimization objectives include minimizing power quality, power supply reliability, and energy storage investment cost. Initially, the multi-objective function is judged to be linearly weighted using the interval analytic hierarchy process entropy weight method, transforming it into a single objective function. Finally, simulation experiments were conducted based on the standard IEEE 14-bus test network as a case study to validate the benefit of the proposed optimization model and method.