| 基于改进粒子群优化算法的火电厂机组负荷分配 |
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| 引用本文： | 亢国栋,孙伟,杨海群,陈杨,聂婷.基于改进粒子群优化算法的火电厂机组负荷分配[J].应用声学,2015,23(2). |
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| 作者姓名： | 亢国栋 孙伟 杨海群 陈杨 聂婷 |
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| 作者单位： | 中国矿业大学 信息与电气工程学院,中国矿业大学 信息与电气工程学院,中国矿业大学 信息与电气工程学院,中国矿业大学 信息与电气工程学院,中国矿业大学 信息与电气工程学院 |
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| 基金项目： | 国家自然科学基金资助项目(60974050). |
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| 摘 要： | 以坑口电厂SIS系统机组负荷优化分配功能模块为应用背景,针对基本粒子群优化算法易陷入局部收敛、收敛速度慢的缺点,提出一种基于惯性权重非线性减小策略的改进粒子群优化算法。并且通过MATLAB与Visual C++混合编程,开发了机组负荷在线优化分配功能模块,提高了算法的计算效率和工程应用价值。
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| 关 键 词： | 负荷分配 改进粒子群 优化算法 惯性权重 混合编程 |
| 收稿时间： | 5/6/2014 12:00:00 AM |
| 修稿时间： | 7/4/2014 12:00:00 AM |
Unit load economic dispatch of power plant based on improved particle swarm optimization algorithm |
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| Institution: | School of Information and Electrical Engineering,China University of Mining and Technology,School of Information and Electrical Engineering,China University of Mining and Technology,School of Information and Electrical Engineering,China University of Mining and Technology,School of Information and Electrical Engineering,China University of Mining and Technology |
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| Abstract: | Taken online unit load economic dispatch function module of power plant near coal-mines supervisory information system as application background,an improved particle swarm optimization algorithm based on the tactics of non-linearly decreasing inertia weight was proposed for the drawbacks of easily falling into local convergence and slow convergence rate belonged to the basic particle swarm optimization algorithm.With the hybrid programming of MATLAB and VC++,the online unit load economic dispatch function module was developed,and this achievement could improve computational efficiency and engineering value of the algorithm. |
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| Keywords: | unit load dispatch improved particle swarm optimization algorithm inertia weight hybrid programming |
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