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Evolutionary programming based security constrained optimal power flow
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DOI：10.1016/j.epsr.2004.02.006.png)
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This paper presents an algorithm for solving security constrained optimal power flow problem through the application of evolutionary programming (EP). The controllable system quantities in the base-case state are optimised to minimize some defined objective function subject to the base-case operating constraints as well as the contingency-case security constraints. An IEEE 30-bus system is taken for investigation. The security constrained optimal power flow results obtained using EP are compared with those obtained using conventional security constrained optimal power flow. The investigations reveal that the proposed algorithm is relatively simple, reliable and efficient and suitable for on-line applications. (C) 2004 Elsevier B.V. All rights reserved.
Keyword:
optimal power flow
evolutionary programming
security constraints
期刊
IF:
4.2
论文数:
1.2W
被引数:
2.2W
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