Forecast Model of Transmission Line Sag Based on GA

Author:

Zhang F,Fan MZ,Yu XC,Dong X,Wang WY

Abstract

Abstract Transmission lines are an important part of the power system and the main artery for the transmission of electrical energy. The safe operation of overhead lines is critical to the safe and stable operation of the entire power grid. This paper takes the main body of the transmission conductor as the main research object. According to the line load calculation theory, risk assessment theory and fuzzy prediction theory, first establish a transmission line risk assessment model that takes into account the influence of temperature changes under weather forecast, and then uses the GA optimized TS-FNN The prediction of the sag of the transmission line has verified the feasibility and accuracy of the proposed theory and method through simulation analysis.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference7 articles.

1. Demand Response Management in Power Systems Usinga Particle Swarm Optimization Approach[J];Pedro;IEEE Intelligent System,2011

2. Alleviation of power systems with and farm by SMES with optimal coil size[J];Saejiam;IEEE Transon on Applied Superconductivity,2012

3. Power management solutions for energy management, power quality and environment using battery energy storage systems[C];Sutanto,1999

4. Multiobjective battery storage to improve PV integration in residential distribution grids[J];Jeroen;IEEE Transactions on Sustainable Energy,2013

5. An Alternative Approach for Coordinating Dispatching Day-Ahead and Real-time Energy Markets[J];Gengyin,2006

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3