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- W2030481565 abstract "Abstract Secondary voltage control is used to re‐adjust the reference values of automatic voltage regulators of generators. The performance of the secondary voltage control strongly depends on pilot node selection. In this paper the two proposed control laws for secondary voltage control are discussed and then an immune based algorithm is proposed to solve the optimal pilot node selection problem. The proposed algorithm is based on the clonal selection theory. The merit of immune algorithm lies in pattern recognition and memorization capabilities. Also, to provide independency of electrical zones a decoupling factor based on electrical distance concept is proposed. To verify the network observability and controllability, the proposed method is simulated over two New‐England 39‐Bus and IEEE 118‐Bus test cases. Copyright © 2010 John Wiley & Sons, Ltd." @default.
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- W2030481565 date "2010-04-20" @default.
- W2030481565 modified "2023-10-12" @default.
- W2030481565 title "Immune‐based selection of pilot nodes for secondary voltage control" @default.
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- W2030481565 doi "https://doi.org/10.1002/etep.377" @default.
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