摘要
分布式电源(distributed generation,DG)的大规模接入使配电网成为有源网络,风力、光伏具有出力随机的特点,传统的配电网重构方法不能完全适用含DG的配电网。考虑自然资源和负荷的随机性,依据概率密度函数分别对不可控DG和负荷建立了多状态模型,进而获得了配电系统的多状态模型。以开关状态为优化变量,高于置信水平的网络损耗最小为目标函数,节点电压和支路功率越限概率满足置信水平要求为约束条件,建立了含多种DG的配电网重构机会约束规划模型。基于生成树策略搜索网络结构,应用改进蚁群算法进行求解。算例结果验证了该模型和算法的有效性。
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.
出处
《电网技术》
EI
CSCD
北大核心
2013年第9期2573-2579,共7页
Power System Technology
基金
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)~~
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
distribution network reconfiguration
DG
multi-state
chance-constrained programming
ant colony algorithm
