Optimal reactive-power dispatch using differential search algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
http://link.springer.com/content/pdf/10.1007/s00202-016-0410-5.pdf
Reference36 articles.
1. Durairaj S, Kannan PS, Devaraj D (2005) Multi-objective VAR dispatch using particle swarm optimization. Int Emerg Electr Power Syst 4(1). doi: 10.2202/1553-779X.1082
2. Lee KY, Paru YM, Oritz JL (1985) A united approach to optimal real and reactive power dispatch. IEEE Trans Power Apparatus Syst PAS 104(5):1147–1153
3. Monticelli A, Pereira MVF, Granville S (1987) Security constrained optimal power flow with post contingency corrective rescheduling. IEEE Trans Power Syst 2(1):175–182
4. Granville S (1994) Optimal reactive power dispatch through interior point methods. IEEE Trans Power Syst 9(1):98–105
5. Mangoli MK, Lee KY (1993) Optimal real and reactive power control using linear programming. Electr Power Syst Res 26:1–10
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