Abstract: Aiming at the problems of lower solution accuracy and slower efficiency of traditional methods in the process of capacity optimization and configuration of wind energy storage system, an improved dragonfly algorithm (IDA) is proposed. The original dragonfly algorithm is improved by adopting two strategies: Logistic chaotic initialization and nonlinear inertia weights, so that the algorithm can be more uniformly distributed in the initialization stage, the global search and local development can be more coordinated and lock the optimal solution region more quickly at the sametime, constructing the capacity optimization model of the hybrid energy storage system, taking the life-cycle cost of the storage device as the objective function and considering load power shortage rate, energy storage system and other constraints. Finally, this paper uses MATLAB software to simulate and analyze the algorithm, the simulation results of the three algorithms are compared and found, using the improved dragonfly algorithm, the number of storage batteries is reduced, the cost of full life-cycle is also relatively reduced and it has better economic applicability.

    Key words: hybrid energy storage; capacity configuration; improved dragonfly algorithm; chaotic initialization; storage battery; full life-cycle cost