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• W2766739976 abstract "Due to increasing per capita energy consumption and exponential rising population, power system losses increasingly and reliability decreasing. The distributed generator can improve the power system reliability and reduce losses. The most widely preferred DG which is large attracted by large scale as wind powers do not have pollution issue and consider as clean energy source. By the wind to its maximum extent it is necessary to place the wind turbine at the place where the losses of the system and the size of the turbine are minimum. In this paper the PSO (particle swarm optimization) technique is applied on IEEE 12 radial standard bus system to get reduced losses and optimum size of wind turbine. Backward/forward sweep method used to analyze the power flow in radial distribution systems. Weibull functions F(x) have been used to describe the best wind distribution which is one of the probabilistic modeling to select random variable. From the results optimum size of turbine is obtained and also obtains the location for placement of wind turbine to optimum the system losses. MATLAB/Simulink is used to simulate the optimization of power losses at power output of mean various wind turbine speed." @default.
• W2766739976 created "2017-11-10" @default.
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• W2766739976 creator A5024876469 @default.
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• W2766739976 date "2016-11-01" @default.
• W2766739976 modified "2023-09-26" @default.
• W2766739976 title "Optimization of radial distribution system losses with wind weibull distribution function integration using PSO and GA technique" @default.
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• W2766739976 doi "https://doi.org/10.1109/iicpe.2016.8079378" @default.
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