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Abstract:
Affine power flow algorithm is critical for solving the uncertain power flow. It is necessary to improve the computational efficiency and reduce the conservatism of the algorithm. In the paper, based on the fixed noise element, a predictor-corrector affine equation iterative model was proposed. Meanwhile, the optimal correction strategy was proposed to adjust the noise element coefficient to ensure the completeness while reducing the conservatism. Furthermore, the power-voltage affine model with noise element correlation was established based on the characteristics of load demand. Simultaneously, the affine power flow equation was established based on the power-voltage affine model. Finally, a Gauss-Seidel and a Newton-Raphson affine power flow algorithm based on predictor-corrector method were proposed. It is verified that the proposed algorithm can reduce the conservatism with higher computational efficiency and accelerate convergence speed. © 2021 Chin. Soc. for Elec. Eng.
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Proceedings of the Chinese Society of Electrical Engineering
ISSN: 0258-8013
Year: 2021
Issue: 7
Volume: 41
Page: 2331-2340
Cited Count:
SCOPUS Cited Count: 2
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 3
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