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基于改进差分进化算法的微电网经济优化
引用本文:王林川,周云航,李朝刚.基于改进差分进化算法的微电网经济优化[J].黑龙江电力,2013(6):471-473.
作者姓名:王林川  周云航  李朝刚
作者单位:[1]东北电力大学电气工程学院,吉林吉林132012 [2]新疆寰环工程公司设计院,新疆独山子833600
摘    要:为了解决差分进化算法局部搜索能力差、收敛速度较慢的问题,结合不同方式的变异特点,引入模拟退火策略,保证算法有较强的全局搜索能力和较快的收敛速度,使其适用于微电网经济优化问题.建立了基于各微源燃料成本、运行和维护成本、污染物排放成本和污染气体或温室气体排放约束的微电网环保经济优化模型.通过算例验证了算法和模型应用于微电网经济优化的正确性和有效性,以及该算法具有很好的收敛性和较高的计算速度,为DE算法进一步改进打下基础.

关 键 词:微电网  经济优化  差分进化算法  模拟退火策略

Economic optimization of micro grid based on improved differential evolution algorithm
WANG Linchuan,ZHOU Yunhang,LI Chaogang.Economic optimization of micro grid based on improved differential evolution algorithm[J].Heilongjiang Electric Power,2013(6):471-473.
Authors:WANG Linchuan  ZHOU Yunhang  LI Chaogang
Affiliation:2 ( 1. Sehool of Electrical Engineering, Northeast Diardi University, Jilin 132012, China ;2. Design Institute of Xinjiang Huanqiu Engineering Co,Xinjiang Dushanzi 833600 ,China)
Abstract:In order to improve weak local search and low convergence speed of differential evolution algorithm, this paper proposes the method with great global search and high convergence speed for the economic optimization of micro grid, a method which combines different variation characteristics with annealing strategy. In the paper, it also establishes the model of environmental-protective and economic optimization of micro grid based on costs of fuel, oper- ation and maintenance, pollutant emission, and constraints on pollutant gas or greenhouse gas emission. The example proves that the model with great convergence and high calculation speed is feasible in economic optimization of mi- cro grid and improvement of DE algorithm.
Keywords:micro grid  economic optimization  differential evolution algorithm  simulated annealing strategy
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