Two Stage Optimized Fuzzy Controlled Multi-Area System for AGC in Smart Grid Age

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dc.contributor.authorMathur, Hitesh Datt
dc.date.accessioned2023-02-17T10:10:36Z
dc.date.available2023-02-17T10:10:36Z
dc.date.issued2015
dc.description.abstractA model of two area deregulated power system with automatic generation control (AGC) is developed. Two conventional control strategies, integral controller optimized by Genetic Algorithm (GA) and Proportional derivative integral (PID) controller tuned with Ziegler-Nichols (ZN), have been compared with proposed two step GA optimized fuzzy logic controller (FLC). In proposed controller, first step optimization is carried out for range optimization with uniform scaling of membership functions of input and output variables and in second step, scaling and gain parameters of FLC are optimized. The proposed control scheme shows the better dynamic response following a step load change with combination of PoolCo and bilateral contracts in deregulated environment.en_US
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S2212017315002820
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9303
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectEEEen_US
dc.subjectTwo area power systemen_US
dc.subjectAutomatic generation controlen_US
dc.subjectProportional-integral-derivative controlleren_US
dc.subjectFuzzy logic controlleren_US
dc.subjectGenetic algorithmen_US
dc.subjectDeregulated environmenten_US
dc.titleTwo Stage Optimized Fuzzy Controlled Multi-Area System for AGC in Smart Grid Ageen_US
dc.typeArticleen_US

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