Grey wolf optimization algorithm based dynamic security constrained optimal power flow

This paper proposes a Grey Wolf Optimization (GWO) based algorithm to solve Dynamic Security Constrained Optimal Power Flow (DSCOPF) problem. This endeavors to make changes of rescheduling of active power generation in power system subject to both static and dynamic constraints. The GWO algorithm sh...

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Veröffentlicht in:2016 National Power Systems Conference (NPSC) S. 1 - 6
Hauptverfasser: Teeparthi, Kiran, Vinod Kumar, D.M.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.12.2016
Schlagworte:
dynamic security
Generators
grey wolf optimization
Heuristic algorithms
optimal power flow
Optimization
Power generation
Power system stability
Rotors
Security
stability limits
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Zusammenfassung:This paper proposes a Grey Wolf Optimization (GWO) based algorithm to solve Dynamic Security Constrained Optimal Power Flow (DSCOPF) problem. This endeavors to make changes of rescheduling of active power generation in power system subject to both static and dynamic constraints. The GWO algorithm shows the capability of improving diversity in search space and also to reach a near global optimal point. To validate the GWO algorithm, simulations are performed on IEEE 30-bus system and New England 39-bus system under different fault clearing times. The results are compared with different evolutionary algorithms reported in the literature.
DOI:10.1109/NPSC.2016.7858858