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基于进化算法的电力系统环境经济优化调度 被引量：1

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摘要 综合考虑环境经济优化调度(Environmental Economic Dispatch,EED)是一个多目标优化问题,采用价格罚因子将环境经济双目标优化调度问题转化为单目标优化问题。考虑发电机的出力限制区,爬坡约束及备用约束,运用进化规划(Evolutionary Programming,EP)算法求解EED问题,在15机系统中采用价格罚因子EP算法求解了EED问题,结果表明所提出的方法的有效性。
作者 倪红
机构地区 恩施职业技术学院机电工程系
出处 《牡丹江大学学报》 2009年第8期96-99,共4页 Journal of Mudanjiang University
关键词 环境经济优化调度 进化规划算法 价格罚因子
分类号 TM73 [电气工程—电力系统及自动化]
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参考文献10

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同被引文献7

  • 1QU Bo-yang, Suganthan P N, Pandi V R, et al. Multi-Objective Evolutionary Programming to Solve Environmental Economic Dispatch Problem[C]. Singaporellth International Conference on Control Automation Robotics Vision (ICARCV), 2010: 1673-1679.
  • 2Jeyakumar D N, Venkatesh P, Lee K Y. Application of Multi-Objective Evolutionary Programming to Combined Economic Emission Dispatch Problem[C]. Orlando: Proceedings of International Joint Conference on Neural Networks, 2007:1162-1167.
  • 3Abido M A. Environmental/Economic Power Dispatch Using Multi-obiective Evolutionary Algorithms[J] IEEE Transactions on Power Systems, 2003,18(4) : 1529- 1537.
  • 4Shubham A, Panigrahi B K, Tiwari M K. Multiobjective Particle Swarm Algorithm with Fuzzy Clustering for Electrical Power Dispatch[J]. IEEE Transactions Evolutionary Computation, 2008,12(5) : 529- 541.
  • 5彭春华,孙惠娟.基于非劣排序微分进化的多目标优化发电调度[J].中国电机工程学报,2009,29(34):71-76. 被引量：44
  • 6卢有麟,周建中,覃晖,许可.差分进化算法在电力系统环境经济调度中的应用[J].华中科技大学学报（自然科学版）,2010,38(8):121-124. 被引量：17
  • 7张福威,李军,孟品超,姜志侠,李延忠.多目标进化算法综述[J].长春理工大学学报（自然科学版）,2012,35(3):102-105. 被引量：11

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牡丹江大学学报
2009年 第8期

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