| 改进GA算法的电力系统机组优化组合研究 |
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| 引用本文： | 蒋秀洁,黄景光,袁兆强,马小强.改进GA算法的电力系统机组优化组合研究[J].三峡大学学报(自然科学版),2006,28(1):32-36. |
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| 作者姓名： | 蒋秀洁 黄景光 袁兆强 马小强 |
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| 作者单位： | 三峡大学,电气信息学院,湖北,宜昌,443002 |
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| 摘 要： | 提出了一种新的基于实数和二进制数统一编码的改进遗传算法.把机组组合问题分解为两个优化子问题,分别对其优化.应用实数编码来模拟功率并用实数遗传算法解决负荷经济分配问题,同时结合二进制编码模拟机组启停状态,解决了机组优化组合的0-1混合整数非线性规划问题.本算法运用到模拟10台机组的优化组合研究中,取得了很好的效果.
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| 关 键 词： | 实数编码 二进制编码 改进遗传算法 机组优化组合 |
| 文章编号： | 1672-948X(2006)01-0032-05 |
| 修稿时间： | 2005年7月18日 |
Improved Genetic Algorithm and Its Study in Unit Commitment Optimization |
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| Jiang Xiujie,Huang Jingguang,Yuan Zhaoqiang,Ma Xiaoqiang.Improved Genetic Algorithm and Its Study in Unit Commitment Optimization[J].Journal of China Three Gorges University(Natural Sciences),2006,28(1):32-36. |
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| Authors: | Jiang Xiujie Huang Jingguang Yuan Zhaoqiang Ma Xiaoqiang |
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| Abstract: | A new genetic algorithm based on the real-coding and binary coding is put forward.It effectively uses the real-coded genetic algorithm's perfect advantage to solve the power problem and the binary-coded genetic algorithm's simulating advantage to slove the unit commitment up/down problem.This algorithm has successfully solved unit commitment problem and has gained an excellent results through the experiments in 10 units commitment system study. |
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| Keywords: | real coding binary coding improved genetic algorithm unit commitment optimization |
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