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作 者:李振文[1] 陈宏[1] 熊尚峰[1] 刘伟良[1] 吴晋波[1]
机构地区:[1]国网湖南省电力公司电力科学研究院,长沙410007
出 处:《电力系统及其自动化学报》2016年第1期63-67,共5页Proceedings of the CSU-EPSA
摘 要:在接入分布式发电DG(distributed generation)的配电网中,当DG上游发生故障时,可通过联络线的合环操作让DG继续发电,从而更大程度地发挥DG特别是可再生能源DG的环境效益。为此考虑DG和线路的投资运行费用与发电环境成本2个目标,建立了计及DG和联络线的配电网扩展多目标规划模型,并设计采用精英策略的非支配遗传算法进行模型求解。算例结果表明所提方法可获得综合最优的扩展规划方案。In a distribution network with DGs(distributed generation), when a fault accurs at upstream branch of DGs, DGs will continue to generate power through the operation of tie-lines, so it gains more environmental benefits from DGs especially the renewable-energy-based DGs. An expansion planning model of distribution network is proposed, con-sidering two objectives of the investment and operation cost of DG and transmission line, and environmental cost of power generation. A fast and elitist multiobjective genetic algorithm (NSGA-Ⅱ) is designed to solve this problem. Simulation results indicate that the proposed method can obtain comprehensive optimal expansion planning scheme.
分 类 号:TM715[电气工程—电力系统及自动化]
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