电网技术Issue(9)：2573-2579,7.
基于机会约束规划考虑DG与负荷多状态的配电网重构
Chance-Constrained Programming Based Distribution Network Reconfiguration Considering Multi-States of Distributed Generation and Load
摘要
Abstract
Large-scale integration of distributed generation (DG) makes distribution network becoming active network, and due to the feature of output randomness of wind farm and photovoltaic (PV) generation traditional distribution network reconfiguration methods are not suitable for distribution network containing DG. Considering the randomness of natural resources and power load, according to probability density function the multi-state models for uncontrollable DG and load are established respectively, and then the multi-state model of distribution network is achieved. Taking switch states as optimization variable, the minimum network loss higher than confidence level as objective function and out-of-limit probability of nodal voltage and branch power, which meets the requirement of confidence level, as constraints, a chance-constrained programming based reconfiguration model for distribution network containing multi DGs is built. The structure of the distribution network is searched by the strategy of spanning tree, and the built model is solved by the improved ant colony algorithm. The validity of the proposed method and model for distribution network reconfiguration containing DGs is verified by simulation results of IEEE 33-bus system connecting with wind power generators.关键词
配电网重构/分布式电源/多状态/机会约束规划/蚁群算法Key words
distribution network reconfiguration/DG/multi-state/chance-constrained programming/ant colony algorithm分类
信息技术与安全科学引用本文复制引用
丛鹏伟,唐巍,张璐,白牧可,盛万兴,史常凯..基于机会约束规划考虑DG与负荷多状态的配电网重构[J].电网技术,2013,(9):2573-2579,7.基金项目
中央高校基本科研业务费专项资金资助(2012QJ084)；国家电网公司科技项目(PD71-13-031)。Project Supported by the Fundamental Research Funds for the Central Universities(2012QJ084) （2012QJ084）
Science and Technology Foundation of the State Grid Corporation of China (PD71-13-031) （PD71-13-031）
