Abstract
AbstractThe intelligent planning approach of distributed generations (DGs) and the distribution network reconfiguration is very challenging but it offers lot of advantages and efficient to improve system techno-economic parameters. Therefore, this work pays attention on mentioned issue to improve the system voltage profile and reliability with reduced power losses. The IEEE 118-bus test system with different combination of DG and reconfiguration using the adaptive particle swarm optimization (APSO) technique is examined in this study. The objective function is minimized using APSO which consists of different objective parameters of system like active and reactive power losses, voltage stability and reliability parameter. The backward–forward with BIBC and BCBV matrices has been used for load flow analysis due to its effectiveness to solve power flow analysis then other method. The different system case configurations are implemented under with and without new work reconfiguration condition including DGs. Afterward, the achieved results are scrutinized and compared which express the system case Configuration-6 including both reconfigurations and multi-DGs perform better than other cases to improve the overall system performances.KeywordsDistribution network reconfigurationDistributed generation (DG)Active/real and reactive power lossVoltage deviationSystem reliabilityAPSO technique
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