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Recent Advances in Electrical & Electronic Engineering

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ISSN (Print): 2352-0965
ISSN (Online): 2352-0973

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Research Article

Cross-provincial Cross-region Power Trading Optimization Modeling

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

Volume 13, Issue 8, 2020

Page: [1183 - 1189] Pages: 7

DOI: 10.2174/2352096513999200710141902

Price: $65

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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