An Application of a Combinatorial Fuzzy-AHP and RGA Technique to Congestion Relief

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.

An Application of a Combinatorial Fuzzy-AHP and RGA Technique to Congestion Relief Keywords:

Congestion Management , Transmission Capability , Real Genetic Algorithm , FACTS Devices