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