研究了分散式风电的多状态运行模式,提出了一种基于机会约束规划的分散式风电场多目标优化规划方法。基于风速与负荷的随机变化及常规发电机组运停的问题,构建了风电并网系统的多运行状态数学模型。以开发商净现值收益和电网节点静态电压稳定为目标函数,以节点最大接入容量、风电场最大装机容量和分散式风电极限穿透功率等因素为约束,构建了系统多目标规划数学模型。根据节点优选原则,确定分散式风电场拟接入节点;借助随机潮流计算方法,使用改进的GA算法对上述模型求解,以确定分散式风电场的规划容量与待接入节点的接入容量。基于IEEE14节点系统仿真结果表明,文章所提出的分散式风电场优化规划方法的有效性与正确性。
The dispersed wind power has remarkable advantages such as flexible access mode and centralized control compared with centralized wind power and distributed wind power. The multi-state operation mode of dispersed wind power is studied, a method of multiple targeted optimization planning based on chance constrained programming is proposed in this paper. A multi-state mathematical model of wind power grid integration system is constructed, which considers the random variation of wind speed and load and the outage of conventional generator units. Then taking the net present value income of developers and the static voltage stability as the objective functions,a mathematical model of multi-objective programming is constructed by taking following factors as constraints, the maximum access capacity of the nodes,the maximum installed capacity of the wind farms and the dispersed wind power penetration limit, etc. Finally, according to the optimization principle of the node, some intending access nodes of the dispersed wind farms are determined,And then the stochastic load flow and the improved GA are employed to solve the above model, the planning capacity of dispersed wind farms and the access capacity of intending access nodes are gotten. The simulation results based on IEEE14 node network show that the proposed method for optimal planning of dispersed wind farm is effective and validity.