Abstract
Energy storage technology is the key to achieving a high proportion of new energy generation, but the current optimization analysis of renewable energy side configuration of energy storage technology is not comprehensive enough and does not consider different application scenarios and operating conditions. In order to better select the appropriate energy storage technology and formulate the corresponding policy, this paper takes the western region of China as an example, and uses the particle swarm algorithm to determine the optimal energy storage configuration scheme; finally, comparing with the traditional scheme, the proposed optimization scheme takes into full consideration the stochastic nature of the wind and light power and the load in the microgrid, and reduces the cost of the energy storage configuration. Also, the grid operation loss is reduced and the economy of the grid operation is improved.
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