Title :
Multi-objective fuzzy-GA formulation for optimal placement and sizing of shunt FACTS controller
Author :
Phadke, A.R. ; Fozdar, Manoj ; Niazi, K.R.
Author_Institution :
Electr. Eng. Dept., Malaviya Nat. Inst. of Technol., Jaipur, India
Abstract :
The location and sizing of FACTS controllers for voltage stability enhancement is an important consideration for practical power systems. In this paper, a strategy for placement and sizing of shunt FACTS controller using Fuzzy logic and Real Coded Genetic Algorithm is proposed. A fuzzy performance index based on distance to saddle-node bifurcation, voltage profile and capacity of shunt FACTS controller is proposed. The proposed technique can be used to find the most effective location and optimal size of the shunt FACTS devices. The proposed approach has been applied on IEEE 14-bus test system. The application results are promising.
Keywords :
bifurcation; flexible AC transmission systems; fuzzy control; genetic algorithms; power system stability; IEEE 14-bus test system; fuzzy logic controller; multiobjective fuzzy-GA formulation; power systems; real coded genetic algorithm; saddle-node bifurcation; shunt FACTS controller optimal placement; voltage stability enhancement; Bifurcation; Control systems; Fuzzy control; Fuzzy logic; Genetic algorithms; Optimal control; Performance analysis; Power system stability; System testing; Voltage control; Fuzzy logic omponent; optimal placement; real coded GA; shunt FACTS controller; voltage stability;
Conference_Titel :
Power Systems, 2009. ICPS '09. International Conference on
Conference_Location :
Kharagpur
Print_ISBN :
978-1-4244-4330-7
Electronic_ISBN :
978-1-4244-4331-4
DOI :
10.1109/ICPWS.2009.5442652
