DocumentCode :
118616
Title :
Localization of FACTS devices for optimal power flow using Genetic Algorithm
Author :
Rahman, A. K. M. Rezwanur ; Alam, Md Shamsul ; Hossain, Md Zakir ; Shahjahan, Md
Author_Institution :
Dept. of Electr. & Electron. Eng., Khulna Univ. of Eng. & Technol., Khulna, Bangladesh
fYear :
2014
fDate :
13-15 Feb. 2014
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents about the effective localization of the FACTS (Flexible AC Transmission Systems) devices in power system by a global search GA (Genetic Algorithm) technique. Ultimate goal is to improve the stability of power system as well as to reduce the generation cost, transmission losses by increasing loadability and improving voltage profile with introduce FACTS device at the most effective region. This method is employed by considering the cost of FACTS and their optimal utilization in the system. Optimal location of FACTS, their types and rated values are optimized simultaneously. Three FACTS devices such as TCSC, TCPAR and SVC are simulated in this study. Simulation is carried out on IEEE30 bus and IEEE 118 bus power system with different increased load-ability. We search the efficiency of this method on the basis of power generation cost, FACTS investment cost and transmission loss reduction. The employed algorithm is emerged as an effective and practical method for the choice and allocation of FACTS in large power systems.
Keywords :
flexible AC transmission systems; genetic algorithms; load flow; power system stability; FACTS devices localization; FACTS investment cost; SVC; TCPAR; TCSC; flexible AC transmission systems; generation cost reduction; genetic algorithm technique; global search GA; optimal power flow; power system stability; transmission loss reduction; transmission losses; Genetic algorithms; Load flow; Power capacitors; Power system stability; Propagation losses; Thyristors; FACTS devices; Genetic Algorithm (GA); Improved loadability; Load Flow; Optimal Power Flow (OPF);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Information and Communication Technology (EICT), 2013 International Conference on
Conference_Location :
Khulna
Print_ISBN :
978-1-4799-2297-0
Type :
conf
DOI :
10.1109/EICT.2014.6777889
Filename :
6777889
Link To Document :
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