期刊文献+

改进GA算法的电力系统机组优化组合研究

Improved Genetic Algorithm and Its Study in Unit Commitment Optimization
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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. 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 slovc the unit commitment up/down problem. This algorithm has successfully solved unit commitment problem and has gained an commitment system study. excellent results through the experiments in 10 units
出处 《三峡大学学报(自然科学版)》 CAS 2006年第1期32-36,共5页 Journal of China Three Gorges University:Natural Sciences
关键词 实数编码 二进制编码 改进遗传算法 机组优化组合 real coding binary coding improved genetic algorithm unit commitment optimization
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参考文献11

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