SEARCHING OPTIMIZATION USING GENETIC ALGORITHM AND IT' S APPLICATION IN ECONOMIC EMISSION LOAD DISPATCH

YAN Shun-lin; LI Tai-xing; LIU Zhen-gang; WANG Jun-you; ZHANG TingNorth China Electric Power University

doi:10.19666/j.rlfd.2008.05.008

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SEARCHING OPTIMIZATION USING GENETIC ALGORITHM AND IT' S APPLICATION IN ECONOMIC EMISSION LOAD DISPATCH

更新时间：2025-09-28

- SEARCHING OPTIMIZATION USING GENETIC ALGORITHM AND IT' S APPLICATION IN ECONOMIC EMISSION LOAD DISPATCH
- Thermal Power Generation Issue 5, Pages: 32-35(2008)
- 作者机构：
  
  华北电力大学
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.2008.05.008
  CLC： TM76;TP18
- Published：2008
- 稿件说明：
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YAN Shun-lin, LI Tai-xing, LIU Zhen-gang, et al. SEARCHING OPTIMIZATION USING GENETIC ALGORITHM AND IT' S APPLICATION IN ECONOMIC EMISSION LOAD DISPATCH[J]. Thermal power generation, 2008, (5): 32-35.
DOI：

YAN Shun-lin, LI Tai-xing, LIU Zhen-gang, et al. SEARCHING OPTIMIZATION USING GENETIC ALGORITHM AND IT' S APPLICATION IN ECONOMIC EMISSION LOAD DISPATCH[J]. Thermal power generation, 2008, (5): 32-35. DOI： 10.19666/j.rlfd.2008.05.008.

摘要

建立了环境经济负荷调度(EELD)问题的优化调度模型

提出一种利用MTALAB中的遗传算法与直接搜索工具箱求解这一问题的方法

并与人工神经网络法进行了比较分析。仿真计算表明

该方法将遗传算法较方便地应用到了EELD问题中

在环境经济合理配置的前提下优化分配各单元机组的发电量

且收敛速度快、应用范围广。

Abstract

An optimized model for solving probelms in economic emission load dispatch(EELD)has been established

putting forward a method for solving said problems by using the genetic algorithm and the direct search toolbox in MATLAB.And a comparison with the artificial neural network method has been analysed.Simulation and calculation show that the proposed method has more conveniently applied the genetic algorithm into problems of EELD.Under prerequisite of reasonably disposing the economic emission load

this method can optimize the distribution of generated energy from each unit

having fast speed of convergence

and wide scope of application.

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