Optimization of Reactive Power Control And Power Production Cost Using Genetic Algorithm For Optimal Setting of SSSC In Power System-Reference-Cited by-同舟云学术

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Optimization of Reactive Power Control And Power Production Cost Using Genetic Algorithm For Optimal Setting of SSSC In Power System

Published:2023-08-09 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation (SEFET)
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Author:

Heisnam Joshibala¹,Adhikari Shuma¹,Chanu Laishram Khumanleima¹

Affiliation:

1. National Institute of Technology Manipur,Department of Electrical Engineering,Imphal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10244770/10244772/10245075.pdf?arnumber=10245075

Reference12 articles.

1. Optimal allocation and sizing of SSSC controller to minimize power production cost and transmission loss;adhikari;International Journal of Computational Engineering Science,2012

2. A United Approach to Optimal Real and Reactive Power Dispatch

3. Optimal location of FACTS devices in power system using Genetic Algorithm

4. Optimal capacitor placement for IEEE 14 bus system using Genetic Algorithm;watpade;Int J Innov Res Adv Eng,2016

5. PSO Based Optimal Placement and Setting of FACTS Devices for Improving the Performance of Power Distribution System;tibin;Bonfring International Journal of Power Systems and Integrated Circuits,2011

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