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智能配电网中微电网的多目标优化配置
引用本文:王兆宇,艾芊.智能配电网中微电网的多目标优化配置[J].电网技术,2012(8):199-203.
作者姓名:王兆宇  艾芊
作者单位:上海交通大学电气工程系,上海市闵行区200240
基金项目:国家自然科学基金项目(51077092)~~
摘    要:微电网在配电网中的优化布置与定容问题是智能电网发展面临的重要问题,为此同时考虑了有功网损和电压改善程度2个重要指标,将微电网接入智能配电网的配置问题转化为同时含有连续变量(微电网的接入容量)和离散变量(微电网的接入位置)的多目标非线性优化问题,并结合具有量子行为的粒子群优化算法和二进制粒子群优化算法进行求解.算例结果验证了该方法的有效性,可对微电网在规划阶段的选址和定容提供参考.

关 键 词:微电网  配电网  智能电网  粒子群优化算法

Multi-Objective Allocation of Microgrid in Smart Distribution Network
WANG Zhaoyu,AI Qian.Multi-Objective Allocation of Microgrid in Smart Distribution Network[J].Power System Technology,2012(8):199-203.
Authors:WANG Zhaoyu  AI Qian
Affiliation:(Department of Electrical Engineering,Shanghai Jiaotong University,Minhang District,Shanghai 200240,China)
Abstract:Optimal layout of microgrid in distribution network and determination of capacity of microgrid are important problems,which have to be faced with during the development of microgrid.For this reason,two important indices,i.e.,active network loss and voltage improvement,are simultaneously considered and the layout of connecting microgrid into smart distribution is turned into nonlinear multi-objective optimization problem that simultaneously contains continuous variables,namely the connected capacity of microgrid,and discrete variables,namely the distribution network connected positions of microgrid,and combining quantum-behaved particle swarm optimization(QPSO) with binary particle swarm optimization(BPSO) the objective function is solved.The effectiveness of the proposed method is verified by calculation example,and is available for reference to the site selection of microgrid in the planning stage and determination of capacity of microgrid.
Keywords:microgrid  distribution network  smart grid  particle swarm optimization(PSO)
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