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dc.contributor.authorMathur, Hitesh Dutt-
dc.date.accessioned2023-02-16T09:52:42Z-
dc.date.available2023-02-16T09:52:42Z-
dc.date.issued2014-
dc.identifier.urihttps://ieeexplore.ieee.org/abstract/document/6783510-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9279-
dc.description.abstractThis paper deals with the Automatic Generation Control (AGC) of two-area power system with SMES unit under deregulated environment. PID controller is used for AGC, three different tuning and optimization techniques are analyzed for effectively stabilize the frequency and tie-line power oscillations and these techniques are Ziegler - Nichols tuning (ZN), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Results show PSO is more effective techniques to produce desired response. Superconducting Magnetic Energy Storage (SMES) is also emerging solution for suppression of frequency and tie-line oscillations. This paper also presents fuzzy logic controlled SMES in order to effectively suppress frequency and tie-line power oscillations. The effectiveness of proposed fuzzy logic controlled SMES justified in comparison of proportional plus integral (PI) controlled SMES.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectEEEen_US
dc.subjectAutomatic generation controlen_US
dc.subjectDeregulated Environemnten_US
dc.subjectSuperconducting magnetic energy storageen_US
dc.subjectFuzzy logic controlleren_US
dc.subjectParticle Swarm Optimizationen_US
dc.subjectGenetic algorithmen_US
dc.titleFrequency Stabilization for Thermal-Hydro Power System with Fuzzy Logic Controlled SMES Unit in Deregulated Environmenten_US
dc.typeArticleen_US
Appears in Collections:Department of Electrical and Electronics Engineering

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