首页> 外文期刊>International Journal of Electrical Power & Energy Systems >Backtracking search optimization based economic environmental power dispatch problems
【24h】

Backtracking search optimization based economic environmental power dispatch problems

机译:基于回溯搜索优化的经济环境电力调度问题

获取原文
获取原文并翻译 | 示例
           

摘要

This paper presents the solution for a nonlinear constrained multi objective of the economic and emission load dispatch (EELD) problem of thermal generators of power systems by means of the backtracking search optimization technique. Emission substance like NOx, power demand equality constraint and operating limit constraint are considered here. The aim of backtracking search optimization (BSA) is to find a global solution under the influence of two new crossover and mutation operations. BSA has capability to deal with multimodal problems due to its powerful exploration and exploitation capability. BSA is out of excessive sensitivity to control parameters as it has single control parameter. The performance of BSA is compared with existing newly developed optimization techniques in terms quality of solution obtained, computational efficiency and robustness for multi objective problems. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本文通过回溯搜索优化技术,为电力系统热力发电机经济排放负荷分配(EELD)问题的非线性约束多目标提出了解决方案。在此考虑排放物,如NOx,电力需求均等约束和运行极限约束。回溯搜索优化(BSA)的目的是在两个新的交叉和变异操作的影响下找到全局解决方案。 BSA具有强大的勘探和开发能力,因此具有处理多式联运问题的能力。 BSA具有单个控制参数,因此对控制参数的敏感性过高。在获得的解决方案质量,计算效率和针对多目标问题的鲁棒性方面,将BSA的性能与现有的最新开发的优化技术进行比较。 (C)2015 Elsevier Ltd.保留所有权利。

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