Optimized utilization of distributed renewable energies for island microgrid clusters considering solar-wind correlation

Microgrid technology has found applications in various areas including institutional campuses, military bases, and remote islands. This paper proposes an optimization scheme for island microgrid clusters considering solarwind correlation. Firstly, we propose a method for generating wind and solar scenarios based on non-parametric kernel density estimation and combined Copula function, to obtain a typical daily wind and solar output sequence, with involving the uncertainty and correlation of wind-solar power. Secondly, to reduce the computational pressure of the system and ensure the privacy of each microgrid, we present an improved Alternating Direction Method of Multipliers (ADMM) to speed up the solution process of the established optimization model in a distributed manner. Finally, comparative case studies are used to validate the effectiveness of the proposed schemes.