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Cross-provincial Cross-region Power Trading Optimization Modeling

[ Vol. 13 , Issue. 8 ]

Author(s):

Jing-Wen Chen, Yan Xiao, Hong-She Dang* and Rong Zhang   Pages 1183 - 1189 ( 7 )

Abstract:


Background: China's power resources are unevenly distributed in geography, and the supply-demand imbalance becomes worse due to regional economic disparities. It is essential to optimize the allocation of power resources through cross-provincial and cross-regional power trading.

Methods: This paper uses load forecasting, transaction subject data declaration, and route optimization models to achieve optimal allocation of electricity and power resources cross-provincial and cross-regional and maximize social benefits. Gray theory is used to predict the medium and longterm loads, while multi-agent technology is used to report the power trading price.

Results: Cross-provincial and cross-regional power trading become a network flow problem, through which we can find the optimized complete trading paths.

Conclusion: Numerical case study results have verified the efficiency of the proposed method in optimizing power allocation across provinces and regions.

Keywords:

Cross-provincial, cross region, power trading, Gary theory, power trading methods, load prediction.

Affiliation:

School of Electrical and Information Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, School of Electrical and Information Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, School of Electrical and Information Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, School of Electrical and Information Engineering, Shaanxi University of Science and Technology, Xi'an, 710021



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