RECONFIGURATION OF RADIAL DISTRIBUTION NETWORK IN PURWOASRI FEEDER BASED ON BINARY PARTICLE SWARM OPTIMIZATION (BPSO)
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Institusion
Universitas Darul ulum
Author
Mochammad Qorlis, Al Qorni
Subject
TK Electrical engineering. Electronics Nuclear engineering
Datestamp
2021-09-29 11:47:53
Abstract :
Abstract - The configuration of the radial distribution network is difficult to simplify because it is very complex. This network reconfiguration is used to redesign the configuration of the radial distribution network by opening and closing switches on the distribution network. The feeder of Purwoasri, Rayon Kertosono, Mojokerto region has a very large loss, so it needs to be reconfigureed. The resulting power flow will result in network power losses due to configuration. The reconfiguration process will be repeated until the configuration form that produces the smallest power losses is obtained. The number of feeders and buses on the network will be difficult if done manually and takes a very long time, so solving the problem must use a computer program. Network reconfiguration using the Matlab 2013a program will analyze the power flow using the Newton Raphson method and using the Binary Particle Swarm Optimization (BPSO) artificial intelligence method. The running results show that before reconfiguration disconnects switch lines 27, 28, 29, 30, and 31 after reconfiguration of lines 10, 15, 18, 21, and 22. Before reconfiguration the network experienced losses of 1169,1374 kWatt after reconfiguration experienced losses of 635,7444 kWatt. The results of the reconfiguration can reduce losses of 635,74440 kWatt or 45,6228 %.
Abstract - The configuration of the radial distribution network is difficult to simplify because it is very complex. This network reconfiguration is used to redesign the configuration of the radial distribution network by opening and closing switches on the distribution network. The feeder of Purwoasri, Rayon Kertosono, Mojokerto region has a very large loss, so it needs to be reconfigureed. The resulting power flow will result in network power losses due to configuration. The reconfiguration process will be repeated until the configuration form that produces the smallest power losses is obtained. The number of feeders and buses on the network will be difficult if done manually and takes a very long time, so solving the problem must use a computer program. Network reconfiguration using the Matlab 2013a program will analyze the power flow using the Newton Raphson method and using the Binary Particle Swarm Optimization (BPSO) artificial intelligence method. The running results show that before reconfiguration disconnects switch lines 27, 28, 29, 30, and 31 after reconfiguration of lines 10, 15, 18, 21, and 22. Before reconfiguration the network experienced losses of 1169,1374 kWatt after reconfiguration experienced losses of 635,7444 kWatt. The results of the reconfiguration can reduce losses of 635,74440 kWatt or 45,6228 %.
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