DocumentCode :
3394975
Title :
Using Heuristic Method and Analytic Hierarchy Process to Congestion Relief via TCSC & SVC
Author :
Iranmanesh, H. ; Rashidi-Nejad, M.
Author_Institution :
Jiroft Branch, Islamic Azad Univ., Jiroft, Iran
fYear :
2012
fDate :
27-29 March 2012
Firstpage :
1
Lastpage :
7
Abstract :
Power systems may not capable of utilizing full transmission capacity. The process of reregulation causes more challenges with regards to technical and trading issues. Restructuring of electricity industry may need some management criteria in order to improve technical as well as economical efficiency. Under the new scheme of power markets, congestion management is a crucial problem that is needed to be considered. Congestion relief can be handled using FACTS devices, where transmission capability may be improved. In this paper, real genetic algorithm (RGA) is used for optimization process while analytical hierarchy process (AHP) with fuzzy sets is implemented to evaluate RGA fitness function. The effectiveness of the proposed methodology is shown through a modified IEEE 30-bus system.
Keywords :
IEEE standards; decision making; flexible AC transmission systems; fuzzy set theory; genetic algorithms; power markets; power system management; power transmission economics; AHP; FACTS device; RGA; SVC; TCSC; analytic hierarchy process; congestion management; economical efficiency; electricity industry; fuzzy set theory; heuristic method; management criteria; modified IEEE 30-bus system; power market scheme; power system; real genetic algorithm; reregulation process; transmission capacity; Electricity; Mathematical model; Optimization; Power capacitors; Static VAr compensators; Thyristors; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
ISSN :
2157-4839
Print_ISBN :
978-1-4577-0545-8
Type :
conf
DOI :
10.1109/APPEEC.2012.6307458
Filename :
6307458
Link To Document :
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