计及风电消纳的共享储能优化模型

Optimal model of shared energy storage considering wind power consumption

传统的风储协同优化模式中,储能资源由单一的新能源电厂独享,存在储能资源利用率受限、储能成本较高等问题.为了增强风电消纳、增加经济收益,提出风电共享储能的优化模型,利用粒子群算法对模型求解.将西北地区某新能源基地的风电厂群作为算例,算例分析结果表明:所提共享储能优化模型能提升风电消纳能力、提高系统的经济效益.

In the traditional wind-storage collaborative optimization model,energy storage resources are exclusively shared by a single new energy power plant,and there are problems such as limited utilization of energy storage resources and high energy storage costs.In order to enhance wind power consumption and increase economic benefits,an optimization model for wind power shared energy storage was proposed,and the particle swarm algorithm was used to solve the model.A wind farm group in a new energy base in the northwest region was taken as an example.The analysis results of the calculation example showed that the proposed shared energy storage optimization scheme could improve the wind power absorption capacity and enhance the economic benefits of the system.