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- W3141709461 abstract "Today reliability is a significant boundary in Electrical industry to accomplish high security and ampleness of the system. There are three significant boundaries required to present in reliability analysis viz client composite damage function, average load and failure rate. The vast majority of the intelligent techniques incorporate capacitor cost and reserve funds because of decrease in power through loss. In this research work notwithstanding capacitor cost and advantages because of power loss, reliability cost is likewise included. This paper introduces the novel method for failure rate using thermal loading and life expectancy of transformer and overhead transmission line. Modified failure rate is applied to calculate reliability cost and hence accordingly objective function is calculated. Particle swarm optimization (PSO) is used as an intelligent tool to find the optimal locations and capacitor sizing using dot net framework based software. Before applying PSO tool, IEEE 30 bus system is passed through ETAP load flow study. Load flow data is processed through optimal capacitor placement (OCP) module designed in developed novel software. This paper focuses on OCP for reliability enhancement in voltage constraint while applying objectives to PSO tool. Results are used for comparison of voltage profile, power factor improvement, loss reduction, capacity release and objective cost reduction in OCP." @default.
- W3141709461 created "2021-04-13" @default.
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- W3141709461 date "2020-12-16" @default.
- W3141709461 modified "2023-09-27" @default.
- W3141709461 title "Optimal Placement of Shunt Capacitor to Enhance Distribution System Reliability" @default.
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- W3141709461 doi "https://doi.org/10.1109/pedes49360.2020.9379833" @default.
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