期刊文献+

漳河水库多目标中长期优化调度研究 被引量:7

The Application of NSGA-Ⅱ for Medium or Long-term Multi-objective Optimal Scheduling in Zhanghe Reservoir
下载PDF
导出
摘要 结合漳河水库中长期优化调度中发电、灌溉需求的特点,以多年平均发电量和年灌溉保证率最大为目标,以发电保证率为约束,建立了漳河水库多目标中长期优化调度模型。针对遗传算法种群初始化出现不可行解集的问题,运用改进的NSGA-Ⅱ进行求解,得出了调度决策方案,并进一步探讨了合理装机容量的选定。结果表明,利用该方法可有效地求解水库多目标中长期优化问题,对电站合理装机容量的选定提供了新的思路。 Considering power generation and irrigation needs in the medium or long-term optimal scheduling of Zhanghe Reservoir, the optimal scheduhng model is estabhshed that takes annual generated energy and irrigation guarantee rate as the objective and the generated guarantee rate as limiting condition., In order to avoid the unfeasible population initialization of genetic algorith, the model is solved by improved NSGA- Ⅱ and strategies are given after analyzing the result. This method for solving reservoir multi-objective optimization problem, enough and uniformly distributed Pareto front end can be achieved, which can effectively solve the multi-objec- tive reservoir and long-term scheduling problem.
出处 《中国农村水利水电》 北大核心 2013年第9期60-62,66,共4页 China Rural Water and Hydropower
基金 国家自然科学基金资助项目(51179130)
关键词 漳河水库 NSGA-Ⅱ 多目标中长期优化 装机容量 Zhanghe Reserviorl NSGA-III multi-ob)ective long-term optimization dynamic programming installed capacity
  • 相关文献

参考文献4

  • 1Dofman R. Mathematical models: the multi-structure approach, in design of water resources systems[M]. Cambridge: Harvard University Press, 1962.
  • 2贠汝安,董增川,王好芳.基于NSGA2的水库多目标优化[J].山东大学学报(工学版),2010,40(6):124-128. 被引量:21
  • 3刘心愿.水库洪水资源优化调度模型及应用研究[D].武汉:武汉大学,2011.
  • 4DEB K, PRATAPA, MEYARIVAN T. A fast and elitist multi objective genetic algorithm: NSGA- II [J]. IEEE Transaction on Evolutionary Computation, 2002,6 (2) : 182 - 197.

二级参考文献6

  • 1郑向伟,刘弘.多目标进化算法研究进展[J].计算机科学,2007,34(7):187-192. 被引量:52
  • 2SCHAFFER J D. Multiple objective optimization with vector evaluated genetic algorithms E C ]//Proceedings of the first International Conference on Genetic Algorithm and Their Application. Hillsdale: Lawrence Erlbaum Association, 1985:93-100.
  • 3DEB K, PRATAP A, MEYARIVAN T. A fast and elitist mulfiobjective genetic algorithm : NSGA-II [ J ~. IEEE Transaction on Evolutionary Computation, 2002, 6 (2) : 182-197.
  • 4DEB K, AGARWAL R B. Simulated binary crossover for continuous search space [ J]. Complex Systems, 1995, 9 : 115-148.
  • 5RAGHUWANSHI M M, KAKDE O G. Survey on multiobjective evolutionary and real coded genetic algorithms[J].Journal of Complexity International, 2005, 11 : 151- 163.
  • 6丁胜祥,董增川,王德智,李庆航.基于Pareto强度进化算法的供水库群多目标优化调度[J].水科学进展,2008,19(5):679-684. 被引量:13

共引文献20

同被引文献73

引证文献7

二级引证文献58

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