考虑源-荷随机协调特性的配电网概率潮流多目标优化方法  

Multi-objective Optimization Method for Probabilistic Power Flow of Power Distribution Network Considering Stochastic Coordination of Power Source and Load

作　　者：莫超 吴杰康[1] 简俊威 余松森 

机构地区：[1]广东工业大学自动化学院,广东广州510006 [2]华南师范大学软件学院,广东广州510002

出　　处：《广东电力》2018年第1期74-81,共8页Guangdong Electric Power

基　　金：国家自然科学基金项目(50767001);广东省公益研究与能力建设专项资金项目(2014A010106026);广东省应用型科技研发专项资金项目(2016B020244003)

摘　　要：分布式电源(distrubuted generation,DG)和电动汽车(electric vehicle,EV)随机充放电环境下的配电网优化运行是目前一项重要的研究课题,通过建立分布式电源和电动汽车充放电的随机概率模型,进而构建出配电系统在随机因素下的运行状态。在满足电网运行的潮流约束条件下,以系统优化成本、有功损耗期望、电压偏差期望为目标函数,建立配电网概率优化的模型,使用基于概率潮流的混沌粒子群算法对模型求解,得出配电网优化运行的策略。最后以IEEE 33节点系统为算例,验证所提方法的正确性与有效性。Optimized operation of power distribution network under environments of distributed generation( DG) and random charging and discharging of electric vehicles( EVs) is an important research topic at present,the paper aims to establish the stochastic probability model for DG and EV and construct operational state of the power distribution system under random factors. In the premise of satisfying constraint conditions for power flow of the power grid,the paper takes optimization cost,expected value of active power loss and expected value of voltage deviation of the system as objective functions and builds the model for probability optimization of the power distribution network. It uses chaos particle swarm optimization algorithm based on probabilistic power flow to solve and get strategy for optimized operation of the distribution network. IEEE 33-bus system proves accuracy and effectiveness of the proposed method.

关 键 词：新能源配电网 概率潮流多目标优化 源-荷随机协调 混沌粒子群优化算法 

分 类 号：TM72[电气工程—电力系统及自动化]