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基于改进CSO算法的风光电混合储能系统配置优化

Configuration Optimization of Hybrid Wind-Solar Energy Storage System Based on Improved CSO Algorithm

  • 摘要: 针对高比例可再生能源接入下电力系统的波动、消纳与经济运行问题,开展基于改进CSO算法的风光电混合储能系统容量配置优化研究。通过构建包含蓄电池和超级电容器的混合储能系统模型,建立以全生命周期成本最小为目标、综合考虑运行约束的优化函数。设计一种融合横向与纵向交叉搜索机制的改进CSO算法,实现对储能功率与容量的协同优化。通过优化前后对比分析证明,所提方案能够有效提升系统经济性、稳定性和可再生能源消纳能力,为风光储一体化系统的规划与运行提供理论依据和决策支持。

     

    Abstract: In order to solve the problem of fluctuation absorption and economic operation of power system with high proportion of renewable energy access, the capacity allocation optimization of hybrid photovoltaic energy storage system based on improved CSO algorithm is studied. By constructing a hybrid energy storage system model including battery and supercapacitor, an optimization function with the minimum life cycle cost and comprehensive consideration of operation constraints is established. An improved CSO algorithm combining horizontal and vertical cross search mechanism is designed to realize collaborative optimization of energy storage power and capacity. Through the comparative analysis before and after optimization, it is proved that the proposed method can effectively improve the economy, stability and renewable energy consumption capacity of the system, and provide theoretical basis and decision support for the planning and operation of the integrated wind, solar and storage system.

     

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