Open AccessOptimal Power Flow for Enhance TTC with Optimal Number of SVC by using Improved Hybrid TSSA
Author(s) -
Suppakarn Chansareewittaya
Publication year - 2019
Publication title -
ecti transactions on computer and information technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.132
H-Index - 2
ISSN - 2286-9131
DOI - 10.37936/ecti-cit.2019131.130978
Subject(s) - static var compensator , simulated annealing , computer science , power flow , tabu search , mathematical optimization , control theory (sociology) , electric power system , ac power , power (physics) , mathematics , voltage , engineering , control (management) , physics , quantum mechanics , artificial intelligence , electrical engineering
In this paper, the hybrid tabu search and simulated annealing (TSSA) method are modified for improving. The main point of modification is to apply sine value into the value of the temperature of simulated annealing. This modification aims to reduce the disadvantage of the original hybrid TSSA. This disadvantage means the value of each parameter is only increased to the maximum value of the temperature of simulated annealing. The optimal number of flexible alternating current transmission system (FACTS) controller determining method is used to determine optimal number of FACTS. SVC is used as FACTS controller in this paper. The split search space method is integrated to manage search space of static var compensator (SVC) operating point. The allocations of SVCs are used to enhance total transfer capability (TTC). Test results on the IEEE 118-bus system and the practical Electricity Generating Authority of Thailand (EGAT) 58-bus system show that the proposed improved hybrid TSSA with optimal number determining method of SVC give higher TTC and less number of SVC than test results from evolutionary programming (EP) and original hybrid TSSA.