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- 2017
Optimal Location and Sizing of Distributed Generation for Minimizing Power Loss Using Simulated Annealing AlgorithmKeywords: Distributed Generation, Power Loss, Voltage Profile, Simulated Annealing Algorithm (SAA) Abstract: Distributed Generation integration in electric power system is one of the options which give many benefits such that loss Reduction, peak saving, voltage profile improvement, stability and reliability improvement. The installation of DG units at non-optimal location can result in an increase in system losses, damaging voltage state. In this paper, simulated annealing Algorithm (SAA) techniqueis designed for optimally determining the location, sizing and numbers of distributed generations depending on power loss reduction and voltage profile improvement. The proposed technique is tested on IEEE 57- bus system to demonstrate the performance of the network after inserting the distributed generation in selected optimal location with optimal sizing. Results show the efficiency of the proposed algorithm in reducing power losses, improving voltage profile.
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