Economic and Environmental Balancing Act: A Dual-Minimization Strategy for Wind-Solar-Storage Systems

Abstract

This paper delves into a dual minimization strategy for the economic and environmental costs of a wind-solar-storage coordinated optimization microgrid system. A wind-solar joint installed capacity configuration model was designed, which adjusts the configuration ratio of wind and solar installations while assessing system stability through indicators of complementarity, stability, and deviation. Experimental results show that the optimal wind-solar installed capacity ratio is 0.66 for photovoltaic installations as a proportion of the total wind-solar installed capacity. This paper proposes an economic-environmental multi-objective optimization model and solves it using an improved Harris Hawk Optimization algorithm, effectively achieving dual minimization of costs and the environment. The results show that under the operating cost target, the total system cost is reduced by 1.055%, and the energy structure is optimized; under the environmental cost target, the total cost is significantly reduced by 16.19%, energy efficiency is improved, and the efficiency of battery storage is enhanced. When considering both operatingand environmental costs comprehensively, the total cost is reduced by 6.9%, and the environmental sustainability of the microgrid is enhanced. This paper provides a new methodology and decision support for the economic-environmental optimization of microgrid systems, emphasizing the importance of comprehensively considering economic and environmental objectives.

Keywords: Wind-Solar Installed Capacity Ratio, Cost-Environmental Dual Minimization, microgrid optimization, Harris Hawks Optimization Algorithm