Open AccessComparative Analysis on Optimal Placement of TCSC under Single Line Contingency by Using PSO and GA
Author(s) -
Su Myat Noe Oo,
Swe Swe Myint,
Shouji Usuda
Publication year - 2021
Publication title -
international journal of electrical and electronic engineering and telecommunications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.171
H-Index - 6
ISSN - 2319-2518
DOI - 10.18178/ijeetc.10.3.217-224
Subject(s) - reactance , thyristor , particle swarm optimization , genetic algorithm , contingency , computer science , electric power transmission , transmission line , electric power system , control theory (sociology) , line (geometry) , power flow , mathematical optimization , voltage , power (physics) , engineering , mathematics , algorithm , electrical engineering , telecommunications , machine learning , linguistics , philosophy , physics , control (management) , geometry , quantum mechanics , artificial intelligence
In the network contingencies, the branch overloading and voltage violation are the most serious conditions and may lead to security problems. The application of Thyristor Controlled Series Capacitor (TCSC) can provide the required apparent reactance smoothly and rapidly and can reduce network contingency problems. This paper focuses an application of Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) to find out the optimal locations of TCSC devices under single contingency to reduce the voltage drops at system buses and line flow improvement on transmission lines. The suitability of the proposed technique is examined on Myanmar Electric Power System. The optimized location provided by each method is applied to single line contingency condition and the responses are observed. According to the simulation results, PSO method can provide the better the stability performance under single line contingency.