基于改进粒子群算法的机组经济运行的博弈
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TN73 F123.9

基金项目:


A Game of Unit Economy Operation Based on an Improved Particle Swarm Optimization Algorithm
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    在电力市场下如果能够根据实时电价求出在该电价下机组经济运行状况,可以给发电公司权衡报价风险和企业利润提供极大的帮助.如果发电公司仅依据发电成本报价,在参与竞价上网时会因缺乏灵活性而造成机组被迫频繁停机和利润空间的浪费.为此,根据企业利润最大化原则建立机组经济运行数学模型,并用改进粒子群算法对模型优化求解.通过实例分析与传统方案的预测结果进行比较,说明其效果的优劣.其给发电公司决策提供更为灵活,有效的方法.

    Abstract:

    In electricity market,if the state of unit economy operation is known,it can provide infinite help for generating corporation in balancing the risk of quoted price and profit.If the price bidding is only based on the generation cost,the unit will be compelled to shutdown frequently and the benefit space will be lost because of lacking of flexibility in price competing.In this paper,based on the principle of maximum profit,a mathematical model of unit which is unit economy operation is presented.An improved Particle Swarm Optimization algorithm is used in the model,which is proved to be excellent.It provides generating corporations with a more flexible and effective method when compared with analyzing and predicting results of traditional project.

    参考文献
    相似文献
    引证文献
引用本文

仲晓春,彭春华,陈佳琰.基于改进粒子群算法的机组经济运行的博弈[J].华东交通大学学报,2008,(3).
ZHONG Xiao-chun, PENG Chun-hua, CHEN Jia-yan. A Game of Unit Economy Operation Based on an Improved Particle Swarm Optimization Algorithm[J]. JOURNAL OF EAST CHINA JIAOTONG UNIVERSTTY,2008,(3):

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期:
  • 出版日期: