| 基于遗传算法的火电单元机组多目标优化协调控制 |
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| 引用本文： | 常江,Kwang Y.Lee.基于遗传算法的火电单元机组多目标优化协调控制[J].深圳职业技术学院学报,2004,3(2):6-9,37. |
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| 作者姓名： | 常江 Kwang Y.Lee |
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| 作者单位： | 1. 深圳职业技术学院,机电工程系,广东,深圳,518055
2. Dept.of Electrical Engineering,Pennsylvania State University,University Park,PA 16802,USA |
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| 摘 要： | 作者提出了一种基于遗传算法的火电单元机组多目标优化协调控制策略。该策略通过改进的遗传算法进行多目标优化求解机组最优稳态控制量以得到最优设定值，从而完成多目标优化协调控制任务。改进的遗传算法采用十进制编码，规范化几何秩选择，混合交叉及均匀变异。仿真结果表明，在不同的运行目标下控制量的最优适应度函数都能快速收敛，遗传算法为多目标优化协调控制提供了有效的途径。
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| 关 键 词： | 火电单元机组 多目标优化 协调控制 遗传算法 |
| 文章编号： | 1672-0318(2004)02-0006-04 |
Coordinative control of multiobjective optimal in power unit based on genetic algorithm |
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| CHANG Jiang,Kwang Y. Lee.Coordinative control of multiobjective optimal in power unit based on genetic algorithm[J].Journal of Shenzhen Polytechnic,2004,3(2):6-9,37. |
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| Authors: | CHANG Jiang Kwang Y Lee |
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| Abstract: | The authors propose a coordinative control strategy of multiobjective optimal in power unit based on genetic algorithm(GA).The control strategy solves a multiobjective optimal problem by using improved GA to get the optimal steady control signals and the optimal set points in order to complete the coordinative control of multiobjective optimal. The improved GA uses decimal-strings encode, normalized geometric ranking selection, hybrid crossover and uniform mutation. The simulation results show that the convergence of the best fitness of control signals is fast with different operating objective. The GA provides an effective tool for coordinative control of multiobjective optimal in power unit. |
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| Keywords: | power unit multiobjective optimal coordinative control genetic algorithm |
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