.png){kind=icon}
返回
A developed eagle-strategy supply-demand optimizer for solving economic load dispatch problems
.png){kind=icon}
OA
AI
DOI：10.1016/j.asej.2022.102083.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This article proposes a new effective technique, named eagle-strategy supply-demand based optimization algorithm with chaotic (ESCSDO), for achieving global solutions to economic load dispatch (ELD) problems in power systems. This improvement is suggested to enhance the population diversity, the balance between local and global search, and the premature convergence of the original supply-demand based optimization (SDO) algorithm. The proposed ESCSDO algorithm benefits from a strategy named eagle strategy (ES) search strategy with ten chaotic maps. The efficacy of the ESCSDO technique is tested on 23 benchmark functions. Also, the robustness of the ESCSDO algorithm to find precise results in various aspects is examined and proven on ELD problems including four cases, 6, 13, 15, and 40-unit test systems. Finally, the obtained results using the proposed technique are compared with the those obtained by several well-known techniques and results reported in the previous literature. The simulation results present proof of the efficacious performance of the proposed ESCSDO technique in solving great diversity of ELD problems.
Keyword:
Economic load dispatch
Supply-demand-based optimization
Valve point loading
Prohibited zone
Eagle strategy
Chaotic maps
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.9
论文数:
3.4K
被引数:
1.2W
机构
引用论文
A novel meta-heuristic optimization methodology for solving various types of economic dispatch problem.png)
ENERGY
ENERGYIF9.4
PREAI
分享收藏Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect求解带阀门加载效应的非凸经济调度问题的萤火虫算法
PREAI
分享收藏分享收藏
查看更多内容