含风力发电的配电网分时段动态无功优化

发布时间：2018-11-04 19:45

【摘要】：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。
[Abstract]:Wind farm output is random, and connecting it to distribution network will cause frequent action of reactive power compensation equipment. For this reason, a method is proposed to segment the active power output curve of wind farm first, and then to optimize the overall dynamic reactive power of each period. Aiming at the problem that the global dynamic reactive power optimization for 24 h wind power generation curve will lead to the difficulty of convergence of dimensionality disaster algorithm, a piecewise method of wind farm output curve based on pedigree clustering is adopted. The traditional particle swarm optimization (PSO) algorithm has poor convergence to global optimization and is easy to fall into local optimal solution. A cloud model is used to dynamically adjust the weight of PSO. Finally, the proposed algorithm is applied to the improved IEEE 33-bus system. The simulation results show that the proposed dynamic optimization method can greatly reduce the optimization time and reduce the number of actions of the control equipment, thus prolonging the life of the equipment.
【作者单位】：国网江苏省电力公司经济技术研究院;
【分类号】：TM614;TM714.3

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