含间歇性DG的主动配电网动态重构研究Study on Dynamic Reconfiguration of Active Distribution Network Considering Intermittent DG
傅晓飞,纪坤华,廖天明,刘自超,陆如
FU Xiaofei,JI Kunhua,LIAO Tianming,LIU Zichao,LU Ru
摘要(Abstract)：
考虑ADN(主动配电网)中间歇性DG(分布式电源)出力的时变性和系统负荷功率的不确定性,建立了含DG的ADN重构模型,提出了DEIWO(差分进化入侵杂草优化)算法,对配电网进行动态重构。利用柯西分布取代高斯分布对IWO(入侵杂草优化)算法进行空间扩散,在计算初始可以产生更多的可行解;引入DE(差分进化)策略,优化竞争生存操作过程,解决了IWO算法收敛速度慢且容易陷入局部最优的问题。利用改进的OFCMC(最优模糊C均值聚类)方法处理ADN动态重构问题,将ADN动态重构问题转化成C个代表负荷数据为聚类中心的静态重构问题。IEEE 33节点系统算例结果表明,利用DEIWO算法对接入DG的配电网重构后,各节点电压波动、电压偏差降低,节点电压整体提高至接近额定电压且无电压越限,配电网电压质量可达到最佳状态。
Considering the time-varying output power and load power uncertainty of DG(distributed generation) in ADN(active distribution network), an AND reconfiguration model with DG is established, and DEIWO(differential evolution invasive weed optimization) is proposed for dynamic reconfiguration of distribution network. By using Cauchy distribution instead of Gauss distribution, the spatial diffusion of invasive weed optimization(IWO) is carried out, and more feasible solutions can be generated at the beginning of computation.The DE(differential evolution) strategy is introduced to optimize the competition operation process, and the slow convergence and local optimum of the IWO are solved. The improved OFCMC(optimal fuzzy C-means clustering) method is used for dynamic ADN reconfiguration. The dynamic path optimization problem of active distribution network is transformed into a static path optimization problem with C representative load data as the clustering center. The results of IEEE 33 node active distribution system show that voltage fluctuation and deviation of each node are reduced and the node voltage is increased, which is close to the rated voltage and has no voltage overrun; distribution network voltage quality can reach the best state after reconfiguration of distribution network connected to DG based on DEIWO algorithm.
关键词(KeyWords)：
主动配电网;分布式电源;差分进化入侵杂草优化算法;动态重构;最优模糊C均值聚类
active distribution network;DG;DEIWO;dynamic reconfiguration;OFCMC
基金项目(Foundation): 国家自然科学基金项目(51307104)
作者(Author):
傅晓飞,纪坤华,廖天明,刘自超,陆如
FU Xiaofei,JI Kunhua,LIAO Tianming,LIU Zichao,LU Ru
DOI: 10.19585/j.zjdl.201811012
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