| 基于协同进化的电力系统多目标优化* |
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| 引用本文： | 周东清,王一峰,葛宏伟.基于协同进化的电力系统多目标优化*[J].电测与仪表,2020,57(20):73-80. |
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| 作者姓名： | 周东清 王一峰 葛宏伟 |
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| 作者单位： | 大连理工大学 电子信息与电气工程学部,大连理工大学 电子信息与电气工程学部,大连理工大学 电子信息与电气工程学部 |
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| 基金项目： | 国家自然科学基金项目（ 61572104） |
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| 摘 要： | 随着社会的发展与科技的进步,电力系统在不断的发展,人们所追求的也不仅仅是经济效益,电力系统所造成的能源浪费及其安全性等问题也受到人们的广泛关注。文中选取电力系统燃料成本、有功网损、电压质量三个目标作为优化目标,基于粒子群、遗传与差分进化算法提出一种基于协同进化的多目标优化算法。分别在标准测试函数与IEEE-30节点进行实验,结果显示文中提出的算法有更好的收敛性与稳定性,更易获得完整的Pareto前沿。
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| 关 键 词： | 电力系统 多目标优化 智能算法 协同进化 |
| 收稿时间： | 2019/5/15 0:00:00 |
| 修稿时间： | 2019/5/15 0:00:00 |
Multi-objective optimization of power system based on coevolution |
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| Zhou Dongqing,Wang Yifeng and Ge Hongwei.Multi-objective optimization of power system based on coevolution[J].Electrical Measurement & Instrumentation,2020,57(20):73-80. |
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| Authors: | Zhou Dongqing Wang Yifeng and Ge Hongwei |
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| Affiliation: | School of Electronic information and Electrical Engineering Dalian University of Technology,School of Electronic information and Electrical Engineering Dalian University of Technology,School of Electronic information and Electrical Engineering Dalian University of Technology |
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| Abstract: | With the development of society and the progress of science and technology, the power system is developing continuously. People are not only pursuing economic benefits, but also paying more attention to other issues like the energy waste and the safety in power system. In this paper, the three objectives of fuel cost, active power loss and voltage quality are selected as optimization objectives. Based on PSO, GA and DE, a multi-objective optimization algorithm CO-PGDEA based on coevolution is proposed. Experiments on standard test functions and IEEE-30 nodes show that the proposed algorithm has better convergence and stability, and is easier to obtain the complete Pareto frontier |
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| Keywords: | Power system Multi-objective optimization Intelligent algorithm Coevolution |
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