热力发电Issue(12)：89-94,6.DOI:10.3969/j.issn.1002-3364.2014.12.089
基于MDPA算法的火电厂多目标负荷优化分配模型
MDPA algorithm based multi-obj ective load dispatch
朱誉 1司风琪 2刘飞龙 2周建新2
作者信息
- 1. 广东电网公司电力科学研究院，广东 广州 510660
- 2. 东南大学能源热转换及其过程测控教育部重点实验室，江苏 南京 210096
- 折叠
摘要
Abstract
On the basis of the conventional single-obj ect model only considering the energy consumption,a multi-obj ective optimization model for load dispatch was established,concerning the energy consumption, environmental protection and load response rate.A hybrid multi-obj ective differential evolution (DE)and particle swarm optimization (PSO)algorithm called MDPA was proposed,which uses arena's principle to establish non-dominate set,cluster analysis to change the size of no-dominate set,elitist strategy to retain extreme points during evolution.Results in three multi-obj ective load dispatch problems show faster con-vergence rate,higher convergence precision and more even distribution of solution set compared with NS-GA-Ⅱ.关键词
火电厂/负荷优化分配/MDPA算法/多目标优化/煤耗率/污染物排放/负荷调整时间Key words
thermal power plant/load optimization distribution/MDPA algorithm/multi-obj ective optimiza-tion/coal consumption rate/pollutant emission/load adj ustment time分类
信息技术与安全科学引用本文复制引用
朱誉,司风琪,刘飞龙,周建新..基于MDPA算法的火电厂多目标负荷优化分配模型[J].热力发电,2014,(12):89-94,6.
