NDLI: Optimal setting of IPFC for voltage stability improvement using (GA-GSA) hybrid algorithm

Content Provider	IEEE Xplore Digital Library
Author	Ram, I.S. Amarnath, J.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. Eng., Jawaharlal Nehru Technol. Univ., Hyderabad, India (Amarnath, J.) \|\| Dept. of Electr. Eng., Dhanekula Inst. of Eng. & Technol., Vijayawad, India (Ram, I.S.)
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.
Sponsorship	IEEE Gujarat Sect.
Starting Page	1
Ending Page	6
File Size	340803
Page Count	6
File Format	PDF
e-ISBN	9781479907274
DOI	10.1109/NUiCONE.2013.6780155
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-28
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reactive power GSA Stability criteria Voltage Stability IPFC Power system stability FACTS Controllers GA Joining processes Biological cells Genetic algorithms
Content Type	Text
Resource Type	Article

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