.png){kind=icon}
返回
An integrated optimization technique for optimal power flow solution
.png){kind=icon}
PRE
AI
DOI：10.1007/s00500-019-04590-3.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The aim of the research work is to propose an integrated optimization technique, established with the integration of the invasive weed optimization (IWO) and Powell's pattern search (PPS) method. The IWO algorithm has been undertaken as a global search technique, which is inspired from the specific ecological behavior of weeds and has the ability to adapt to the changing environment. The local search PPS method is based upon a conjugate-based search and having excellent exploitation search capability, which helps to improve the solution obtained from IWO technique. The proposed technique is applied to solve optimal power flow (OPF) problem with the flexible AC transmission system devices. The OPF problem is a nonlinear, non-convex optimization problem and consists of continuous and discrete decision variables. The three objective functions comprise total fuel cost, pollutant emission and system transmission loss which are minimized sequentially. The proposed technique is tested on four standard IEEE test systems, and results are compared with the reported results in the literature and found promising. The results illustrate that the proposed technique performs better as compared to IWO technique in terms of the quality of solution and convergence characteristics. Further,ttest is performed to validate the statistical performance of the proposed integrated optimization technique.
Keyword:
Optimal power flow
Integrated optimization technique
Invasive weed optimization
Powell's pattern search
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:
2.5
论文数:
1.0W
被引数:
2.1W
机构
暂无机构信息
引用论文
分享收藏A Theoretical and Empirical Study of Search-Based Testing: Local, Global, and Hybrid Search基于搜索的测试的理论和实证研究: 本地，全局和混合搜索
PREAI
分享收藏Solving security constrained optimal power flow problems: a hybrid evolutionary approach解决安全约束的最优潮流问题: 一种混合进化方法.png)
APPLIED INTELLIGENCE
APPLIED INTELLIGENCEIF3.5
PREAI
分享收藏
查看更多内容