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An Efficient Invasive Weed Optimization Algorithm for Distribution Feeder Reconfiguration and Loss Minimization
, Rajalakhsmi K, , Rajaram R.
Published in Springer India
Volume: 324
Pages: 37 - 46
The distribution network carries electricity from the transmission system and delivers it to consumers. Distribution losses account for major part of power system losses. The low-voltage operation in the distribution system is a major reason for higher technical losses due to inherent properties of the network. In this paper, a method based on invasive weed optimization algorithm (IWOA) is proposed for distribution network reconfiguration with the objective of real power loss minimization. The feeder reconfiguration problem is formulated as a nonlinear optimization problem, and IWOA is used to find the optimal solution. The proposed method is implemented on standard 16-bus test system [1]. Test results show that the proposed feeder reconfiguration method can effectively ensure the loss minimization[2]. © Springer India 2015.
About the journal
JournalData powered by TypesetAdvances in Intelligent Systems and Computing Artificial Intelligence and Evolutionary Algorithms in Engineering Systems
PublisherData powered by TypesetSpringer India
Open AccessNo