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一种新算法在经济负荷分配中的应用
  • ISSN号：1003-8930
  • 期刊名称：《电力系统及其自动化学报》
  • 时间：0
  • 分类：TM714[电气工程—电力系统及自动化]
  • 作者机构：[1]燕山大学电气工程学院,秦皇岛066004
  • 相关基金：国家杰出青年基金资助项目（60525303）
作者： 唐英干[1], 崔玉红[1], 乔雷杰[1], 关新平[1]
关键词： 电力系统, 经济负荷分配, 单纯形法, 粒子群算法, power systems, economic dispatch, simplex method, particle swarm optimization（PSO）
中文摘要：

为求解复杂的不连续、非凸、非线性电力系统的经济负荷分配问题，提出了一种单纯形法（NM）和粒子群算法（PSO）相结合的NM—PSO算法。该算法将单纯形算子嵌入到PSO算法中，把适应值最好的一部分粒子用单纯形法来更新，其余粒子用PSO算法寻优，从而提高PSO算法后期的寻优能力。NM—PSO充分利用PSO算法强大的全局搜索能力和NM快速确定性的局部搜索能力，提高了NM—PSO算法的寻优能力和收敛速度，该算法应用于经济负荷分配问题得到的优化结果好于其他方法。

英文摘要：

A hybrid method （NM-PSO）, which combines particle swarm optimization （PSO） with Nelder- Mead （NM） simplex method is proposed to solve the discontinuous, nonconvex and nonlinear economic dispatch （ED） problem. Simplex operator is embedied into PSO to improve the search capability of PSO in anaphase. In this method, simplex method is used to update the best part of the whole particles, and others are searched by PSO to look for the best. The hybrid method makes use of the powerful global search capability of PSO and fast local search of NM simplex method. The search efficiency and covergence speed are improved distinctly. Experiments on ED show that the proposed method can get optimal results.

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期刊信息
  • 《电力系统及其自动化学报》
  • 北大核心期刊（2011版）
  • 主管单位:中国人民共和国教育部
  • 主办单位:天津大学
  • 主编：张炳达
  • 地址：天津市南开区天津大学电气与自动化工程学院
  • 邮编：300072
  • 邮箱：epsaproc@tju.edu.cn
  • 电话：022-27401056
  • 国际标准刊号：ISSN：1003-8930
  • 国内统一刊号：ISSN：12-1251/TM
  • 邮发代号:
  • 获奖情况:
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,波兰哥白尼索引,美国剑桥科学文摘,英国科学文摘数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）
  • 被引量:15374