期刊文献+

基于改进动态规划法的电力系统机组组合问题研究 被引量:7

Research of Unit Commitment in Power System Based on Improved Dynamic Programming Method
下载PDF
导出
摘要 机组组合问题是在调度周期内满足各种运行约束条件的前提下,通过合理地控制机组的开、停状态以实现总运行成本最低目标的问题。本文以电力系统机组组合为研究对象,对优先顺序法与动态规划法在机组组合中的应用进行了研究和探讨,并根据他们的优缺点,建立了改进的算法—基于优先顺序法的动态规划法。 On the premise of meeting variety of conditions in the running cycle,unit commitment is to achieve the lowest total operating cost by controlling the running or suspending status of units rationally.With study of unit commitment in power system,some applications about the methods of priority list and the dynamic programming are discussed in this paper.It establishes an improved algorithm,that is,dynamic programming method on the basis of using the priority list according to these two methods’ respective advantages and disadvantages.
作者 任垚 张小青
出处 《自动化技术与应用》 2010年第5期6-8,12,共4页 Techniques of Automation and Applications
关键词 机组组合 优先顺序法 改进动态规划法 unit commitment priority list improved dynamic programming
  • 相关文献

参考文献3

二级参考文献55

  • 1葛晓霞.电厂负荷的最优分配[J].汽轮机技术,1995,37(5):299-302. 被引量:14
  • 2赵子臣,相年德,夏清,张伯明.应用启发式与逐步动态规划法进行机组最优组合[J].清华大学学报(自然科学版),1997,37(1):57-60. 被引量:14
  • 3MORI H,MATSUZAKI O. Embedding the priority list into tabu search for unit commitment[A]. IEEE Power Engineering Society Winter Meeting [ C ]. Columbus, USA:IEEE 2001. 1067-1072.
  • 4MORI H,MATSUZAKI O.A parallel tabu search approach to unit commitment in power systems[A]. IEEE International Conference on Systems,Man,and Cybernetics[C]. Tokyo, Japan: IEEE, 1999. 509-514.
  • 5MANTAWY A H,ABDEL-MAGID Y L,SELIM S Z. A new simulated annealing-based tabu search algorithm for unit commitment[A]. IEEE International Conference on Systems, Man,and Cybernetics [C]. Orlando, USA:IEEE, 1997. 2432-2437.
  • 6MANTAWY A H,ABDEL-MAGID Y L,SELIM S Z. Integrating genetic algorithms,tabu search,and simulated annealing for the unit commitment problem [J]. IEEE Trans. on Power Systems, 1999,14(3) :829-836.
  • 7SENDAULA M H,BISWAS S K,ELTOM A. Application of artificial neural networks to unit commitment[A].Proceedings of the First International Forum on Applications of Neural Networks to Power Systems[C]. Seattle, USA: IEEE, 1991. 256-260.
  • 8SASAKI H,WATANABE M,KUBOKAWA J. A solution method of unit commitment by artificial neural networks[J]. IEEE Trans. on Power Systems, 1992,7 (3) :974 -981.
  • 9OUYANG Z,SHAHIDEHPOUR S M. A hybrid artificial neural network-dynamic programming approach to unit commitment[J]. IEEE Trans. on Power Systems,1992,7(1) :236-242.
  • 10HUANG Shyh-jier, HUANG Ching-lien. Application of genetic-based neural networks to thermal unit commitment[J].IEEE Trans. on Power Systems, 1997,12(2):654-660.

共引文献43

同被引文献63

引证文献7

二级引证文献17

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部