摘要
为解决分布式可再生能源(renewabledistributed generation,RDG)出力不确定性给配电网规划带来的影响,提出一种采用改进K-means的出力曲线聚合方法,构建RDG典型区间出力场景集,分别计算配电网区间潮流。定义不确定性耐受度,以系统网损最小、电压偏移最小和不确定性耐受力最强为目标建立多目标优化模型,并采用NSGA-II算法求解。在IEEE 33节点网络、某地区实际10kV配电网络和美国PG&E 69节点网络算例验证了所提模型与方法的正确性和有效性。
In order to reduce the influence of uncertainty of renewable distributed generation in the distribution network planning, a polymerization method of output curves based on an improved K-means clustering algorithm was proposed. The typical interval output scene set of renewable distributed generation(RDG) was constructed, and the interval power flow of distribution network was calculated separately. The tolerance of the uncertainty for RDG was defined. The multi-objective optimization model was established based on the NSGA-II algorithm aiming at minimum system network loss, minimum voltage offset and strongest tolerance of uncertainty. Finally, the IEEE 33 node network, the actual distribution network of a region and the American PG&E 69 node network were used as examples to analyze and calculate to verify the correctness and effectiveness of the proposed model and method.
作者
刘丽军
笪超
罗宁
郑文迪
邵振国
LIU Lijun;DA Chao;LUO Ning;ZHENG Wendi;SHAO Zhenguo(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,Fujian Province,China;Fujian Smart Electrical Engineering Technology Research Center(Fuzhou University),Fuzhou 350108,Fujian Province,China)
出处
《中国电机工程学报》
EI
CSCD
北大核心
2020年第14期4400-4410,共11页
Proceedings of the CSEE
基金
国家自然科学基金项目(51777035)
福建省自然科学基金项目(2017J01480)。
关键词
出力曲线聚合
区间潮流
不确定性耐受度
区间优化
polymerization of output curves
interval power flow
tolerance of uncertainty
interval optimization
