摘要
分析了考虑需求响应影响的含分布式电源(DG)的配电网多目标协调规划问题,建立了以DG综合投资成本(包括DG安装及运行维护成本、购电综合成本、需求响应运行成本、网络损耗成本和环境效益)最小为目标的模型,综合考虑网络系统安全约束和需求响应运行约束条件,实现DG位置和容量的协调规划。利用自适应粒子群算法对IEEE33节点系统进行求解,算例结果表明,该模型能有效提高可再生能源的利用率,提升含DG的配电网规划的经济性。
This paper analyses the question of multi-objective coordinated planning of distribution network with dis- tributed generation (DG) considering the influence of demand response (DR). The minimized objective model of total investment cost of DG is built, including installation and operation and maintenance cost of DG, purchasing e- lectricity cost, operation cost of DR, network loss cost and environmental benefits, and synthetically considering both constraints of system security and DR operation, the coordinated planning of DG size and capital is realized. Using adaptive particle swarm optimization (PSO) algorithm to solve the IEEE 33-bus system, simulation results show that the proposed model can effectively improve the utilization of renewable energy and promote the economy of distribution network planning with DG.
作者
张木银
周玲
管志成
叶晨晖
ZHANG Mu-yin ZHOU Ling GUAN Zhi-cheng YE Chen-hui(College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)
出处
《电工电能新技术》
CSCD
北大核心
2017年第3期16-21,共6页
Advanced Technology of Electrical Engineering and Energy
关键词
分布式电源
需求响应
多目标优化
粒子群算法
经济性
distributed generation
demand response
multi-objective optimization
particle swarm algorithm
e-conomy