电力系统保护与控制2011，Vol.39Issue(22)：90-97,8.
基于多目标文化差分进化算法的水火电力系统优化调度
Optimal hydrothermal scheduling based on multi-objective cultured differential evolution
摘要
Abstract
To effectively solve multi-objective optimal scheduling problem for hydrothermal power system under the background of energy-saving and emmission reducing, a multi-objective cultured differential evolution (MOCDE) algorithm is presented. MOCDE uses cultural algorithm (CA) as its framework and differential evolution (DE) algorithm in population space. Based on the characteristic of DE operator and multi-objective optimization, three knowledge structures are designed in the belief space. Using these knowledge structures in population evolution, the convergence rate of MOCDE is improved and optimiation premature convergence is avoided. Furthermore, a stepwise modification method is presented to handle equality constraints. The results show that MOCDE can obtain a non-inferior scheduling schemes set with good distribution and high convergence, thus it can be a viable alternative for multi-objective optimal scheduling of hydrothermal power system.This work is supported by the National Basic Research Program of China (973 Program) (No. 2007CB714107).关键词
水火电力系统/多目标优化/非劣调度方案集/文化算法/差分进化算法/知识结构Key words
hydrothermal power system/ multi-objective optimization/ non-inferior scheduling schemes set/ cultural algorithm/ differential evolution algorithm/ knowledge structures分类
信息技术与安全科学引用本文复制引用
覃晖,周建中..基于多目标文化差分进化算法的水火电力系统优化调度[J].电力系统保护与控制,2011,39(22):90-97,8.基金项目
国家科技支撑计划重点项目(2008BAB29B0806) （2008BAB29B0806）
国家重点基础研究发展计划(973)课题(2007CB714107) （973）
