Synergistic Two-Stage Optimization for Multi-Objective Energy Management Strategy of Integrated Photovoltage-Storage Charging Stations

Abstract

Achieving a harmonious equilibrium between economic objective and sustainability during the operation of an integrated Photovoltaic-Storage Charging Station (PS-CS) poses a common challenge. Traditional multi-objective optimization methods often fall short in effectively addressing nuanced trade-offs and in incorporating decision-maker preferences. This paper presents a novel approach to address these limitations. Initially, the economic aspects and sustainability goals of the PS-CS are established by leveraging a microgrid model with demand response considerations. Subsequently, a two-stage multi-objective optimization framework is introduced. In the first stage, a predictive global economic optimization algorithm is utilized to maximize the profitability of PS-CS. In the second stage, an adaptive method, informed by the previous stage results, is employed to reconcile the sustainability objectives, thereby facilitating the identification of an optimal compromise. The efficiency of the proposed methodology is underscored through a real case study. The outcomes substantiate the method's effectiveness in enhancing sustainability objectives by up to 7% and 18%, while concurrently containing profit reduction to within 3%. Two comparisons with traditional weighting approach demonstrate its greater robustness across diverse scenarios.

Keywords: Integrated Charging Station, Microgrid, Multi-objective Energy Management, Two-Stage Optimization Scheme