DocumentCode :
2907331
Title :
An Enhanced Immune-Annealing Algorithm for Mixed-Integer Optimal Power Flow
Author :
Huang, Cong-Hui ; Lin, Whei-Min
Author_Institution :
Nat. Sun Yat-Sen Univ., Kaohsiung
fYear :
2007
fDate :
5-8 Nov. 2007
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents an enhanced immune annealing algorithm (EIAA) for the solution of the optimal power flow based on Equivalent Current-Injection (ECIOPF) with both continuous and discrete control variables that was called mixed-integer optimal power flow (MIOPF). The continuous control variables modeled are unit active power outputs and generator-bus voltage magnitudes, while the discrete ones are transformer-tap settings and shunt capacitor devices. The feasibility of the proposed method is exhibited for standard IEEE 30 bus system, and it is compared with other stochastic methods in terms of solution quality, convergence property, and computation efficiency.
Keywords :
annealing; load flow control; optimal control; power capacitors; power transformers; ECIOPF; EIAA; continuous control variables; discrete control variables; enhanced immune-annealing algorithm; equivalent current-injection; generator-bus voltage magnitudes; mixed-integer optimal power flow; shunt capacitor devices; standard IEEE 30 bus system; transformer-tap settings; unit active power output; Control systems; Equations; Load flow; Optimal control; Phase transformers; Power generation; Power system modeling; Power system simulation; Simulated annealing; Stochastic processes; enhanced immune-annealing algorithm; equivalent current-injection; immune algorithm; mixed-integer optimal power flow; simulated annealing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Applications to Power Systems, 2007. ISAP 2007. International Conference on
Conference_Location :
Toki Messe, Niigata
Print_ISBN :
978-986-01-2607-5
Electronic_ISBN :
978-986-01-2607-5
Type :
conf
DOI :
10.1109/ISAP.2007.4441651
Filename :
4441651
Link To Document :
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