Energy Storage Capacity Allocation Scheme of Wind Farm Considering Multi-Objective Optimization Model

Abstract

A new scheme of lithium ion battery and super capacitor hybrid energy storage system in wind farm was proposed. The original wind power was decomposed by the wavelet packet frequency division technology to obtain the compensation power of the hybrid energy storage system. Taking the hybrid energy storage configuration scheme as the optimization variable, the improved life cycle cost was introduced, and a multi-objective energy storage system configuration model of net income volatility waste air volume was established. The model was solved by the improved probabilistic mutation particle swarm optimization (PMPSO) to obtain the Pareto solution set. The solution set was normalized to obtain the optimal allocation scheme of entropy weight. Compared with the single objective optimal scheme, it shows that the optimal allocation scheme of entropy weight takes into account both economy and function. Compared with the adaptive quantum particle swarm optimization (AQPSO), it is verified that the optimal allocation scheme of entropy weight obtained by improved PMPSO algorithm not only ensures the small waste air volume and volatility, but also configures the energy storage with smaller capacity to obtain greater benefits and meet the multi-objective allocation requirements.

Keywords

• energy storage
• wind farm
• multi-objective solution
• optimal allocation
• lithium ion battery
• super capacitor