Coordinated Optimal Configuration of Wind-Solar-Storage Microgrid in Park with Demand Response Considered

This paper investigates the optimization of hybrid microgrid systems in industrial parks, where current photovoltaic (PV)-wind-grid configurations still face challenges in mitigating renewable generation intermittency while maintaining economic efficiency. The energy storage system (ESS) configuration is identified as a critical factor affecting renewable energy utilization rates. To address this, this paper propose a virtual park-based coordinated optimization scheme for PV-wind-ESS microgrids. Using MATLAB simulation, the study develops a dual-objective optimization model minimizing both ESS configuration costs and average unit power supply costs. The model evaluates independent versus joint microgrid configurations using operational data from a case study park. Results demonstrate the joint PV-wind-ESS configuration’s superior economic performance compared to independent systems, validating the proposed scheme’s practicality. The coordinated approach effectively balances operational cost reduction with renewable utilization enhancement in industrial park microgrids.