Multi-objective Optimization Scheduling of Microgrid Based on Improved Whale Optimization Algorithm

To bolster the economic viability and environmental sustainability of microgrid (MG) systems, this study introduces a multi-objective optimal scheduling strategy for grid-connected MGs that is predicated on day-ahead scheduling. This strategy takes into account the harmonization of economic and environmental considerations. An Enhanced Multi-objective Whale Optimization Algorithm(INSWOA) is employed to refine the model. The experimental outcomes demonstrate that the proposed model significantly diminishes energy costs for users and minimizes ecological costs, thereby facilitating the sophisticated man-agement of MGs and substantiating the superior efficacy of the advanced multi-objective whale optimization algorithm.