Application of multi-objective hybrid artificial bee colony with differential evolution algorithm for optimal placement of microprocessor based FACTS controllers-Reference-Cited by-同舟云学术

Application of multi-objective hybrid artificial bee colony with differential evolution algorithm for optimal placement of microprocessor based FACTS controllers

Published:2021-03 Issue: Volume: Page:104239
ISSN:0141-9331
Container-title:Microprocessors and Microsystems
language:en
Short-container-title:Microprocessors and Microsystems

Author:

Mahadevan J.,Rengaraj R.,Bhuvanesh A.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference21 articles.

1. Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems;Hingorani,2000

2. Shuanbao N FACTS devices allocation via sparse optimization;Chao,2016

3. Rajderkar VP Optimal Location of Series FACTS Devices for Enhancing Power System Security;Vaidya,2011

4. Sensitivity based analysis for optimal location of UPFC to reduce power loss and congestion in deregulated electricity market;Khurshaid;IRNet Trans Electr Electron. Eng.,2014

5. Optimal location of FACTS devices for congestion management;Singh;Electric Power Syst. Res.,2001

Cited by 11 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

1. Hyper-heuristic strategies for optimal power flow problem with FACTS devices allocation in wind power integrated system;Results in Control and Optimization;2024-03

2. Optimal Power Flow with renewable power generations using hyper-heuristic technique;Handbook of Whale Optimization Algorithm;2024

3. Improved multi objective particle swarm optimization based reactive power optimization for ensuring voltage security of power systems;Engineering Research Express;2023-11-20

4. Optimization of FACTS Devices for Power System Performance Improvement: A Review;2023 IEEE PES/IAS PowerAfrica;2023-11-06

5. Sensitivity analysis index to determine the optimal location of multi-objective UPFC for improvement of power quality parameters;Energy Reports;2023-11