...
首页> 外文期刊>IEEE Transactions on Power Systems >A genetic algorithm modelling framework and solution technique for short term optimal hydrothermal scheduling
【24h】

A genetic algorithm modelling framework and solution technique for short term optimal hydrothermal scheduling

机译:短期最优水热调度的遗传算法建模框架和求解技术

获取原文
获取原文并翻译 | 示例
           

摘要

A genetic algorithm is applied to the problem of determining the optimal hourly schedule of power generation in a hydrothermal power system. A multi-reservoir cascaded hydroelectric system with a nonlinear relationship between water discharge rate, net head and power generation is considered. The water transport delay between connected reservoirs is also taken into account. The main control parameters that affect the genetic algorithm performance are discussed and a summary of the theoretical basis of the genetic algorithm method is presented. It is shown that a multiple step genetic algorithm search sequence can provide the optimal hourly loading of the system generators.
机译:遗传算法应用于确定水火发电系统中最佳发电小时计划的问题。考虑了一种多水库级联水力发电系统,该系统具有排水率,净水头和发电之间的非线性关系。还考虑了相连水库之间的水运延迟。讨论了影响遗传算法性能的主要控制参数,并对遗传算法方法的理论基础进行了总结。结果表明,多步遗传算法搜索序列可以为系统生成器提供最佳的每小时负载。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号