Comparison of Genetic Algorithms and Particle Swarm Optimization for Optimal Power Flow Including FACTS devices

机译：包括FACTS装置在内的最优潮流的遗传算法和粒子群算法比较

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

This paper describes the performance of two population based search algorithms (Genetic Algorithms and Particle Swarm Optimization) when applied to Optimal Power Flow (OPF) including Static VAR Compensator (SVC) and Thyristor Controlled Series Compensator

机译：本文介绍了两种基于总体的搜索算法（遗传算法和粒子群优化）在包括静态VAR补偿器（SVC）和晶闸管控制串联补偿器的最优潮流（OPF）上的性能。

著录项

来源
《Power Electronics and Motion Control Conference, 2006 5th International》|2007年|P.1105-1110|共6页
会议地点 Lausanne,Switzerland
作者
Kumari; M. Sailaja; Priyanka; G.; Sydulu; M.;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类
关键词
Enhanced Genetic Algorithm; Genetic Algorithms; Optimal Power Flow; Particle Swarm Optimization; Static VAR compensator; Thyristor controlled series compensator;

机译：增强遗传算法；遗传算法；最佳潮流粒子群优化；静态无功补偿器；晶闸管控制的串联补偿器;

相似文献

外文文献
中文文献
专利

1. An efficient particle swarm optimization algorithm to solve optimal power flow problem integrated with FACTS devices [J] . Naderi Ehsan, Pourakbari-Kasmaei Mahdi, Abdi Hamdi Applied Soft Computing . 2019,第期

机译：一种高效的粒子群优化算法，解决了与事实设备集成的最佳功率流问题
2. Particle swarm optimization with an aging leader and challengers algorithm for optimal power flow problem with FACTS devices [J] . Rudra Pratap Singh, V. Mukherjee, S.P. Ghoshal International journal of electrical power and energy systems . 2015,第jana期

机译：使用老化领导者和挑战者算法的粒子群优化算法，通过FACTS设备优化功率流问题
3. Comparison of Harmony Search Algorithm and Particle Swarm Optimization for Optimal Placement and Sizing of Unified Power Flow Controllers in Deregulated Power Systems [J] . D. Dehghani Mahmoudabadi, A. Rezazadeh, M. Sedighizadeh International review of electrical engineering . 2011,第5ptab期

机译：调和电力系统统一潮流控制器最优配置和规模的和谐搜索算法与粒子群优化比较。
4. Comparison of Genetic Algorithms and Particle Swarm Optimization for Optimal Power Flow Including FACTS devices [C] . Kumari M. Sailaja, Priyanka G., Sydulu M. IEEE LAUSANNE POWERTECH . 2007

机译：遗传算法与粒子群优化的比较，包括事实设备
5. Study of particle swarm for optimal power flow in IEEE benchmark systems including wind power generators. [D] . Abuella, Mohamed A. 2012

机译：在包括风力发电机在内的IEEE基准系统中研究粒子群以实现最佳功率流。
6. Optimal power flow using hybrid firefly and particle swarm optimization algorithm [O] . Abdullah Khan, Hashim Hizam, Noor Izzri bin Abdul Wahab, 2020

机译：使用混合萤火虫和粒子群优化算法的最佳功率流量
7. Cash balance management: A comparison between genetic algorithms and particle swarm optimization=Gerenciamento do saldo de caixa: uma comparação entre algoritmos genéticos e particle swarm optimization [O] . Marcelo Seido Nagano, Marcelo Botelho da Costa Moraes 2012

机译：现金余额管理：遗传算法与粒子群优化之间的比较= Gerenciamento do saldo de caixa：umacomparaçãoentrealgoritmosgenéticose粒子群算法

Comparison of Genetic Algorithms and Particle Swarm Optimization for Optimal Power Flow Including FACTS devices

摘要

著录项

相似文献

相关主题

期刊订阅