关键词: 风力发电, 储能容量, 粒子群算法

Abstract:

        This paper presents suitable capacity device deployment for wind farm to smooth its output power fluctuation, The paper also constructs a model for the optimization calculation of its energy storage capacity. We employ particle swarm optimization (PSO) to solve the model with the minimization of wind curtailment rate and energy storage device cost as multiobjective function and active power deviation rate as smooth effect balance. We then can derive the optimal energy storage capacity rapidly and accurately. Its overall benefit is therefore optimized. Calculation case indicates that the model can smooth its output power with less energy storage cost and wind curtailment rate.

Key words: wind power, energy storage capacity, PSO