Cross-provincial Cross-region Power Trading Optimization Modeling

Author(s): Jing-wen Chen, Yan Xiao, Hong-she Dang*, Rong Zhang

Journal Name: Recent Advances in Electrical & Electronic Engineering
Formerly Recent Patents on Electrical & Electronic Engineering

Volume 13 , Issue 8 , 2020

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Graphical 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.

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Article Details

Year: 2020
Published on: 03 December, 2020
Page: [1183 - 1189]
Pages: 7
DOI: 10.2174/2352096513999200710141902
Price: $25

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