Optimal Energy Management of Storage-Assisted Distribution Network for Operating Cost Reduction: Considering Effects of Different Seasons

Abstract

This paper introduces a framework to reduce operational costs in active distribution systems by utilizing battery energy storage systems. It employs a two-stage stochastic programming approach involving Here-and-Now and Wait-and-See decisions. The scheduling problem is studied as a mixed-integer linear programming model in GAMS and solved using the CPLEX solver. A feeder from an active electricity distribution network is chosen to demonstrate the effectiveness of the proposed method. Operating costs are evaluated under varying scenarios with and without energy storage across seasons. The research contributes to the literature by providing a comprehensive analysis of the strategic role of Battery Energy Storage System in optimizing operational efficiency and enhancing flexibility in active distribution networks. The findings underscore the critical value of energy storage in reducing costs and managing uncertainties in energy operations, as validated by the simulation results demonstrating the economic benefits of the proposed strategy.