含风力发电的配电网分时段动态无功优化

风电场出力具有随机性,将其接入配电网会引起无功补偿设备的动作频繁。为此,提出一种先对风电场有功输出曲线进行分段,再对各个时段进行整体动态无功优化的方法。针对直接对24h风力发电曲线采用整体动态无功优化会引起维数灾导致算法难以收敛的问题,采用基于谱系聚类思想的风电场出力曲线的分段法。针对传统粒子群算法收敛到全局寻优能力较差且易陷入局部最优解的确定,采用云模型对粒子群算法的权值进行动态调整。最后,将上述算法运用于改进的IEEE 33节点系统,仿真结果表明提出的动态优化方法大大缩小了优化的时间,并减少了控制设备的动作次数,从而延长了设备的寿命。

Dynamic Reactive Power Optimization of Sub-periods in Distribution Network With Wind Power

The access of wind farm caused frequent action of reactive compensation equipment in distribution network. This paper presents a new dynamic reactive power optimization method, first segment the wind power curve, and then use integrating dynamic reactive power optimization. In view of using integrating dynamic reactive power optimization directly will cause the dimension disaster and the algorithm hard to convergence, this paper use a new segment method based on pedigree clustering. In view of the traditional particle swarm optimization algorithm converges to the global optimal solution is slow and easy to fall into local optimal solution, this paper uses cloud model to dynamically adjust the weight of particle swarm algorithm. At last, apply the above mentioned algorithm to the improved IEEE 33 distribution network, the simulation results show that the dynamic optimization method which is proposed in this paper reduces the optimization time, and reduces the number of control equipment actions, thus extends the working life of facilities.