Application of meta-heuristic algorithms to reconfigure radial distribution system for optimal cost and reliability

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dc.contributor.authorKarki, Sudeep
dc.date.accessioned2023-12-20T05:54:11Z
dc.date.available2023-12-20T05:54:11Z
dc.date.issued2023-12
dc.descriptionIEEE 33 bus radial test system and Gothatar Feeder from Mulpani substation are taken as a test system. In both cases, reconfiguring the system for radiality shows significant improvement in the system’s operational cost. For the IEEE 33 bus system, the operational cost was reduced from $576096 to $516871, a 10% reduction in yearly loss cost. For the Gothatar feeder, the cost was reduced to $358206 from $408641, again resulting in the reduction of loss cost by over 12%.en_US
dc.description.abstractThis research focuses on the application of Metaheuristic algorithms in the field of power system optimization. The specific problem used to demonstrate that is the reconfiguration of the radial distribution system in terms of reliability and system loss. The primary goal of this work is to analyze the performance of multiple metaheuristic algorithms in reconfiguring radial distribution systems. While all algorithms offer the solution to the problem, different algorithms favor different kinds of optimization problems and can find solutions faster and slower than others. GA, PSO, CSO, and GWO are considered for comparison. The problem formulated is to optimize the radial distribution system while maintaining strict radiality for maximum reliability and minimum system loss. For this, a new approach is suggested where reliability indices and network loss are converted to into monetary value. Minimization of this value is the primary optimization goal. Reliability indices are converted by considering losses arising to customers and utility due to faults.en_US
dc.description.provenanceSubmitted by Govinda Bista (govind.bist@ncc.tu.edu.np) on 2023-12-20T05:54:11Z No. of bitstreams: 1 Sudeep Karki Master thesis electrical engineering power system Dec 2023.pdf: 6433624 bytes, checksum: 193a14fc1b979d5af4396c5f0c42c84e (MD5)en
dc.description.provenanceMade available in DSpace on 2023-12-20T05:54:11Z (GMT). No. of bitstreams: 1 Sudeep Karki Master thesis electrical engineering power system Dec 2023.pdf: 6433624 bytes, checksum: 193a14fc1b979d5af4396c5f0c42c84e (MD5) Previous issue date: 2023-12en
dc.identifier.urihttps://hdl.handle.net/20.500.14540/21063
dc.language.isoenen_US
dc.publisherI.O.E. Pulchowk Campusen_US
dc.subjectMeta-heuristic algorithms,en_US
dc.subjectradial distribution system,en_US
dc.subjectCost and reliabilityen_US
dc.titleApplication of meta-heuristic algorithms to reconfigure radial distribution system for optimal cost and reliabilityen_US
dc.typeThesisen_US
local.academic.levelMastersen_US
local.affiliatedinstitute.titlePulchowk Campusen_US
local.institute.titleInstitute of Engineeringen_US
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