Journal of System Simulation
Abstract
Abstract: Aiming at the improvement of the slow and unstable system voltage recovery after the low voltage load shedding load protected by centralized station area, the traditional low voltage load shedding load strategy will be researched. Considering the factors such as the power shortage and the important grade of the load, the power factor of the load to be cut is introduced, and the low load shedding model is established by minimizing the amount of cut load and minimizing the reactive power. The research is transformed into a belt Constrained multi-objective optimization research. The multi- objective particle swarm optimization algorithm is used to solve the low-voltage load - shedding model, and the optimal load - keeping strategy is obtained. Through the RDTS simulation system analysis, the correctness and superiority of the proposed strategy is verified.
Recommended Citation
Dan, Zhao; Ji, Man; Ni, Yunling; Liu, Dengxin; and Wang, Weidong
(2020)
"Research on the Strategy of Adaptive UVLS Based on RTDS Simulation,"
Journal of System Simulation: Vol. 32:
Iss.
1, Article 8.
DOI: 10.16182/j.issn1004731x.joss.17-0434
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol32/iss1/8
First Page
61
Revised Date
2017-11-13
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.17-0434
Last Page
68
CLC
TM732
Recommended Citation
Zhao Dan, Man Ji, Ni Yunling, Liu Dengxin, Wang Weidong. Research on the Strategy of Adaptive UVLS Based on RTDS Simulation[J]. Journal of System Simulation, 2020, 32(1): 61-68.
DOI
10.16182/j.issn1004731x.joss.17-0434
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