| 引用本文: | 高纯,于艾清,丁雨.基于改进递归有序聚类的有源配电网多时段动态重构[J].电力自动化设备,2021,41(2): |
| GAO Chun,YU Aiqing,DING Yu.Multi-period dynamic reconfiguration of active distribution network based on improved recursive ordered clustering[J].Electric Power Automation Equipment,2021,41(2): |
|
| 摘要: |
| 为应对分布式电源(DG)和负荷的时变性、不确定性给配电网重构带来的影响以及提高系统运行效益，综合考虑DG和负荷预测值的动态变化，引用欧氏距离描述段内数据的相似程度，通过递归求解的方式确定最优时段划分方案；为了减小不确定因素对配电网重构的影响，将DG出力以及负荷的预测值转换为区间数的形式，综合考虑环保收益与系统损耗费用，建立以净收益最高为目标的有源配电网重构模型；基于仿射算数的区间潮流方程通过构造噪声元的线性优化模型抑制区间扩张，并结合环路编码和基于Bloch球面的量子粒子群优化算法对模型进行求解。IEEE 33节点系统的测试分析结果验证了所提方法的有效性和优越性。 |
| 关键词: 分布式电源 无功补偿 时段划分 区间潮流 粒子群优化算法 |
| DOI：10.16081/j.epae.202101005 |
| 分类号:TM73 |
| 基金项目:上海绿色能源并网工程技术研究中心资助项目(13DZ2251900) |
|
| Multi-period dynamic reconfiguration of active distribution network based on improved recursive ordered clustering |
|
GAO Chun, YU Aiqing, DING Yu
|
|
College of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China
|
| Abstract: |
| In order to deal with the influence of distribution network reconfiguration brought by time-varying and uncertainty of DG(Distributed Generation) and load and improve system operation efficiency, the dynamic change of forecasting values of DG and load are comprehensively considered, Euclidean distance is introduced to describe the similarity of data in the segment, and the optimal time-period partition scheme is determined by recursive solution. In order to reduce the influence of uncertain factors on distribution network reconfiguration, the forecasting values of DG and load are converted into the form of interval numbers, and a reconfiguration model of active distribution network is built, which takes the highest net income as its objective, and comprehensively considers the environmental benefit and system loss cost. On the basis of the interval power flow equation based on affine arithmetic, a linear optimization model of noise element is constructed to suppress the interval extension, and the loop coding and Bloch sphere based quantum particle swarm optimization algorithm are combined to solve the model. The test and analysis results of IEEE 33-bus system verify the validity and superiority of the proposed method. |
| Key words: distributed generation reactive power compensation time division interval power flow PSO algorithm |
