Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/180062
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dc.titleTHE ENHANCEMENT OF POWER SYSTEM STABILIZER VIA ARTIFICIAL INTELLIGENCE HYBRID SYSTEMS
dc.contributor.authorCHENG YEONG JIA
dc.date.accessioned2020-10-26T06:34:10Z
dc.date.available2020-10-26T06:34:10Z
dc.date.issued1999
dc.identifier.citationCHENG YEONG JIA (1999). THE ENHANCEMENT OF POWER SYSTEM STABILIZER VIA ARTIFICIAL INTELLIGENCE HYBRID SYSTEMS. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/180062
dc.description.abstractThree Artificial Intelligence (AI) based hybrid Power System Stabilizers (PSSs) have been designed and their effectiveness demonstrated. The techniques used are Fuzzy Knowledge Based Controller (FKBC), Tabu Search (TS) and Genetic Algorithm (GA). The FKBC has been developed to perform the function of a power system stabilizer and to provide a supplementary signal to the excitation system of the synchronous generator. The method used for storing and representing the fuzzy rules is called the Fuzzy Associative Memory (FAM) matrix. The well-defined FAM determines the performance of the FKBC. TS and GA are thus implemented to determine the construction and optimization of the FAM. In addition, a Strict-Tabu (S-Tabu) optimization of PSS parameters has also been developed. To achieve good damping characteristics over a wide range of operating conditions, S-Tabu is used to optimize PSS. Those controllers have been tested in Single Machine Infinite Bus (SMIB) and multimachine systems for various types of disturbance. To highlight the effectiveness of the developed controllers, comparisons with the Conventional PSS (CPSS) are presented.
dc.sourceCCK BATCHLOAD 20201023
dc.subjectFuzzy Knowledge Based Controller (FKBC)
dc.subjectGenetic Algorithm (GA)
dc.subjectTabu Search (TS)
dc.subjectPower System Stabilizer (PSS)
dc.subjectLow Frequency Oscillation (LFO)
dc.subjectArtificial Intelligence (AI)
dc.typeThesis
dc.contributor.departmentELECTRICAL ENGINEERING
dc.contributor.supervisorS. ELANGOVAN
dc.description.degreeMaster's
dc.description.degreeconferredMASTER OF ENGINEERING
Appears in Collections:Master's Theses (Restricted)

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