Journal of System Simulation
Abstract
Abstract: In order to quantitatively evaluate the influence of renewable energy access on voltage and reactive power operation, a combinational evaluation method of voltage and reactive power based on EWM-AHP-BP neural network is proposed to carry out the multi-objective evaluation weight calculation. Considering voltage qualified rate, voltage fluctuation, power factor qualified rate and reactive power reserve, the comprehensive evaluation model is established. The operation data of renewable energy and power load are clustered to divide the typical scenarios and the evaluation model under multiple scenarios is scored by the combination method of entropy weight method and analytic hierarchy process. The evaluation results are trained as samples of BP neural network. The proposed method simplifies the weight calculation process of multi-objective evaluation, realizes the adaptive adjustment of weight with the change of samples and effectively improves the calculation efficiency. The effectiveness of the proposed method is verified by the simulation on an actual regional power grid and the sample training and evaluation analysis of historical data.
Recommended Citation
Ji, Yuqi; Xie, Huan; Shi, Shaoyu; He, Ping; Jin, Nan; and Wang, Huili
(2023)
"Voltage and Reactive Power Combinational Evaluation of Regional Power Grid Based on EWM-AHP-BP Neural Network,"
Journal of System Simulation: Vol. 35:
Iss.
4, Article 14.
DOI: 10.16182/j.issn1004731x.joss.21-1329
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol35/iss4/14
First Page
843
Revised Date
2022-03-10
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-1329
Last Page
852
CLC
TP714
Recommended Citation
Yuqi Ji, Huan Xie, Shaoyu Shi, Ping He, Nan Jin, Huili Wang. Voltage and Reactive Power Combinational Evaluation of Regional Power Grid Based on EWM-AHP-BP Neural Network[J]. Journal of System Simulation, 2023, 35(4): 843-852.
DOI
10.16182/j.issn1004731x.joss.21-1329
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