广东电力2018，Vol.31Issue(1)：74-81,8.DOI:10.3969/j.issn.1007-290X.2018.001.014
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-obj ective Optimization Method for Probabilistic Power Flow of Power Distribution Network Considering Stochastic Coordination of Power Source and Load
摘要
Abstract
Optimized operation of power distribution network under environments of distributed generation (DG)and ran-dom 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 ran-dom factors.In the premise of satisfying constraint conditions for power flow of the power grid,the paper takes optimiza-tion 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 al-gorithm 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Key words
distribution network with new energy power/multi-objective optimization on probabilistic power flow/stochastic coordination of power source and load/chaos particle swarm optimization分类
信息技术与安全科学引用本文复制引用
莫超,吴杰康,简俊威,余松森..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[J].广东电力,2018,31(1):74-81,8.基金项目
国家自然科学基金项目(50767001) （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) （2014A010106026）
