Title :
Optimal setting of IPFC for voltage stability improvement using (GA-GSA) hybrid algorithm
Author :
Ram, I. Sai ; Amarnath, J.
Author_Institution :
Dept. of Electr. Eng., Dhanekula Inst. of Eng. & Technol., Vijayawad, India
Abstract :
This paper mainly focused on improvement of voltage stability of the power transmission system with voltage collapse concern. To achieve this, Flexible AC Transmission System (FACTS) devices are suggested to be installed properly in the network. Among all the FACTS devices, the combined compensator such as Inter line power flow controller (IPFC) is considered for its greater flexibility in power control. The primary function of IPFC is to improve transmission system voltage profile, thereby enhancing the voltage stability. The hybrid algorithm is formed by the combination of genetic algorithm (GA) and gravitational search algorithm (GSA) for optimal setting of IPFC. Initially according to the variation of power loss and voltage collapse index, the optimal locations suitable for IPFC installation are determined by genetic algorithm (GA). Among the optimal locations, the maximum combinations of the transmission lines of corresponding buses are analyzed. Then the injecting voltage magnitude and angle of IPFC is determined by GSA algorithm. From the values, exact rating of IPFC real and reactive powers is calculated to inject at that optimal location. Finally, the optimal power rating of IPFC is injected to the optimized location. The power flow is analyzed by Newton-Raphson method before and after insertion of IPFC. The proposed method is implemented in MATLAB working platform on IEEE-30 bus system and the results show that the proposed method gives a quick solution for optimal setting of IPFC in transmission system and consequently the voltage stability of the system is also improved.
Keywords :
IEEE standards; Newton-Raphson method; flexible AC transmission systems; genetic algorithms; load flow control; power system stability; reactive power control; FACTS devices; GA-GSA hybrid algorithm; IEEE-30 bus system; IPFC installation; MATLAB working platform; Newton-Raphson method; flexible AC transmission system devices; genetic algorithm; gravitational search algorithm; interline power flow controller; power control; power loss; power transmission system voltage profile; reactive power; transmission lines; voltage collapse index; voltage magnitude; voltage stability improvement; Biological cells; Genetic algorithms; Joining processes; Power system stability; Reactive power; Stability criteria; FACTS Controllers; GA; GSA; IPFC; Voltage Stability;
Conference_Titel :
Engineering (NUiCONE), 2013 Nirma University International Conference on
Conference_Location :
Ahmedabad
Print_ISBN :
978-1-4799-0726-7
DOI :
10.1109/NUiCONE.2013.6780155