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A binary particle swarm optimization approach for power system security enhancement

Chinda, Padmanabha RajuDalapati Rao, Ragaleela
International Journal of Electrical and Computer Engineering (IJECE) (Sinta 1)Vol. 0 No. 01 April 2022
DOI10.11591/ijece.v12i2.pp1929-1936

Abstrak

Improvement of power system security manages the errand of making healing move against conceivable system overloads in the framework following the events of contingencies. Generation re-dispatching is answer for the evacuation of line overloads. The issue is the minimization of different goals viz. minimization of fuel cost, minimization of line loadings and minimization of overall severity index. Binary particle swarm optimization (BPSO) method was utilized to take care of optimal power flow issue with different targets under system contingencies. The inspiration to introduce BPSO gets from the way that, in rivalry with other meta-heuristics, BPSO has demonstrated to be a champ by and large, putting a technique as a genuine alternative when one needs to take care of a complex optimization problem. The positioning is assessed utilizing fuzzy logic. Simulation Results on IEEE-14 and IEEE-30 bus systems are presented with different objectives.

Kata Kunci

Power systemsBinary particle swarmoptimizationFuzzy logicNetwork securityPower system optimizationPower system security

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A binary particle swarm optimization approach for power system security enhancement | International Journal of Electrical and Computer Engineering (IJECE) | Publiora