Strategy for Dual Minimization of Economic and Environmental Costs in Clean Energy Power Systems Through Wind-Solar-Storage Synergistic Optimization

Abstract

This study employs an improved Harris Hawk Optimization (HHO) algorithm to achieve dual minimization of economic and environmental costs in a clean energy power system with wind, photovoltaic, and storage coordination. The optimized model reduces the total cost by 1.055% under the singular objective of operational cost, enhancing the energy structure. Under the environmental cost objective, a significant reduction of 16.19% in total costs was achieved, improving energy and battery storage efficiency. When considering both operational and environmental costs, the model achieved a notable total cost reduction of 6.9%, enhancing the environmental sustainability of the microgrid. The research indicates that the increase in photovoltaic installation proportion plays a decisive role in cost reduction. This study provides a novel methodology and decision support for the economic and environmental optimization of microgrid systems, emphasizing the importance of integrating economic and environmental objectives.

Keywords: Microgrid Optimization, Harris Hawks Optimization Algorithm, Cost-Environmental Dual Minimization, Renewable energy utilization, Energy Storage System Optimization, Photovoltaic Installation Ratio