Indian Journal of Science and Technology
Year: 2013, Volume: 6, Issue: 7, Pages: 1-8
M. Mohammadi Nodushan1 *, A. A. Ghadimi2 and A. Salami3
1 Department of Electrical Engineering, [email protected]
2 Department of Electrical Engineering, [email protected]
3 Department of Electrical Engineering, [email protected]
*Author for Correspondence
M. Mohammadi Nodushan
Department of Electrical Engineering,
The amount of sensitive loads in distribution networks is increasing significantly with the passing of time. It is essential to keep the voltage of these loads in normal range. Voltage sag mainly occurs due to power system faults that should be limited. Formerly reconfiguration and distributed generation (DG) resources placement were studied separately to improve the voltage sag caused by faults; however, there are many practical limits in the use of each method individually. The main task of this paper is to use reconfiguration and DG resources placement simultaneously to improve voltage sag index which enables us to overcome these limitations. The number of times the voltage of sensitive loads decreases to the critical voltage is used as an index for performance evaluation. To minimize this index, binary particle swarm optimization (BPSO) algorithm is used. The efficiency of the proposed method is proved through simulation results and their comparison with previously-performed methods.
Keywords: Binary Particle Swarm Optimization, Reconfiguration, Distributed Generation, Voltage Sag
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