首页> 外文会议>IEEE International Conference on Power, Control, Signals and Instrumentation Engineering >A TLBO Algorithm based Optimal Load Scheduling of Generators for Power System Network
【24h】

A TLBO Algorithm based Optimal Load Scheduling of Generators for Power System Network

机译:基于TLBO算法的电力系统网络发电机的最优负载调度

获取原文

摘要

This paper discusses about ELD Problem is modeled by non-convex functions. These are problem are not solvable using a convex optimization techniques. So there is a need for using a heuristic method. Among such methods Teaching and Learning Based Optimization (TLBO) is a newly known algorithm and showed promising results. This paper utilized this algorithm to provide load dispatch solutions. Comparisons of this solution with other standard algorithms like Particle Swarm Optimization (PSO), Differential Evolution (DE) and Harmony Search Algorithm (HSA). This projected algorithm is implemented to resolve the ELD problem for 6 unit and 10 unit test systems along with the other algorithms. This comparison investigation explored various merits of TLBO with respect to PSO, DE, and HSA in the field economic load dispatch.
机译:本文讨论了ELD问题是由非凸函数建模的。这些是问题不可能使用凸优化技术来溶解。因此需要使用启发式方法。在这些方法中,教学和基于学习的优化(TLBO)是一种新已知的算法,并显示出有前途的结果。本文利用该算法提供负载调度解决方案。与其他标准算法的这种解决方案的比较,如粒子群优化(PSO),差分演进(DE)和和声搜索算法(HSA)。实现了该预测的算法以解决6个单元和10个单元测试系统以及其他算法来解决ELD问题。这种比较调查在现场经济负担调度中探讨了PSO,DE和HSA的各种优点。

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