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dc.contributor.authorUlinuha, Agus
dc.contributor.authorSupriyono
dc.contributor.authorMurtiyasa, Budi
dc.date.accessioned2013-01-19T09:38:36Z
dc.date.available2013-01-19T09:38:36Z
dc.date.issued2010-10
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Optimal Scheduling of LTC and Shunt Capacitors in Large Distorted Distribution Systems using Evolutionary-Based Algorithms, IEEE Transactions on Power Delivery 23(1): 434 - 441en_US
dc.identifier.urihttp://hdl.handle.net/11617/2537
dc.description.abstractA hybrid genetic-fuzzy algorithm (GA-Fuzzy) is proposed for optimal volt/var/THD control in distorted distribution systems serving nonlinear loads. Load interval division (over a 24-hour period) and optimal scheduling of load tap changer (LTC) and switched shunt capacitors to simultaneously minimizing energy losses and improve the power quality (as recommended by the IEEE 519 and IEC 61000 standards) are performed using genetic algorithms with fuzzy reasoning. The nonlinear load flow is solved using a decoupled harmonic power flow (DHPF) algorithm. The integration of fuzzy rules and genetic algorithm enables the approach to maintain the promising chromosomes and offer further improvement of the near-global solution. The IEEE 30-bus and 123-bus distribution systems with a number of harmonic generating loads are selected for the analyses. Simulation results using GA and GA-Fuzzy optimization approaches are presented and compared for sinusoidal and nonsinusoidal treatments of the systems to demonstrate the advantages of the proposed hybrid approach.en_US
dc.description.sponsorshipPASCA DIKTIen_US
dc.publisherLPPM UMSen_US
dc.subjectFuzzyen_US
dc.subjectGAen_US
dc.subjectLTCen_US
dc.subjectoptimal volt/var/THD controlen_US
dc.subjectpower qualityen_US
dc.subjectharmonicsen_US
dc.subjectshunt capacitorsen_US
dc.titlePROGRAM PENELUSURAN LOKASI PENCURIAN DAYA LISTRIK DENGAN MENGGUNAKAN ALGORITMA GENETIKAen_US
dc.typeThesisen_US


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