大规模风电下基于模糊场景聚类的网-储协调规划方法

Fuzzy scene clustering based grid-energy storage coordinated planning method with large-scale wind power

受限于已有的电网水平,新建成的风电场难以将大量风电送出。从电网规划建设的角度出发,基于风电就地消纳与跨区消纳结合的思路,通过为风电接入配置储能系统、在现有电网基础上扩展线路构建风电消纳的通道,以现有风电和负荷数据为基础,利用模糊聚类方法提取运行场景的时空特性,提出了扩展规划的多目标优化模型,并利用改进粒子群优化算法进行求解。通过仿真算例从成本、网损、弃风量3个角度验证了规划方案的可行性。

Limited by the existing grid level,the large amount of power of new built wind farms is hard to transmit. From the perspective of grid planning and construction, the ways of wind power consumption are built by allocating energy storage for wind power and extending line construction of the existing grid based on the idea of combining local consumption with cross-district consumption. Based on the existing wind power and load data, the time-space characteristics of operating scenarios are extracted by fuzzy clustering method, and the multi-objective optimization model of the expansion planning is proposed, which is solved by the improved particle swarm optimization algorithm. The feasibility of the planning scheme is verified by simulation examples from three aspects：cost, network loss and abandon wind.