NDLI: PSO based location and parameter setting of advance SVC controller with comparison to GA in mitigating small signal oscillations

Content Provider	IEEE Xplore Digital Library
Author	Mondal, D. Chakrabarti, A. Sengupta, A.
Copyright Year	2011
Description	Author affiliation: Department of Electrical Engineering, Bengal Engineering and Science University, Howrah-711103, India (Chakrabarti, A.; Sengupta, A.) \|\| Department of Electronics and Instrumentation Engineering, Haldia Institute of Technology, Purba Medinipur, Haldia-721657, India (Mondal, D.)
Abstract	This paper aims to select the optimal location and setting parameters of Static VAR Compensator (SVC) controller using Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) to mitigate small signal oscillations in a multimachine power system. Though Power System Stabilizers (PSSs) are prime choice in this issue, its performance gets affected by changes in network configurations, load variations etc. Hence installation of FACTS device, SVC has been suggested here in order to achieve appreciable damping of oscillations. However, performance of any FACTS devices highly depends upon its parameters and suitable location in the power network. In this paper PSO as well as GA based techniques are used to investigate this problem. An attempt has also been made to compare the performance of the PSO based SVC controller with its GA based design. The validity of the proposed techniques is simulated in a multimachine system following two common disturbances. It has been revealed that the PSO based SVC controller is more effective than GA based controller even during critical loading condition.
Starting Page	1
Ending Page	6
File Size	356513
Page Count	6
File Format	PDF
ISBN	9781467301374
e-ISBN	9781467301367
DOI	10.1109/ICEAS.2011.6147126
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-28
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Damping Static VAR compensator Static VAr compensators Small Signal Stability Genetic Algorithm Power system stability Mathematical model Flexible AC Transmission System Oscillators Equations Particle Swarm Optimization Genetic algorithms
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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