Distributed Multi-area Optimal Power Flow Algorithm Based on Blockchain Consensus Mechanism

被引：0
|
作者：
Zhang L. [1 ]
Chen S. [1 ]
Yan Z. [1 ]
Shen Z. [1 ]
机构：
[1] Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Minhang District, Shanghai
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2020年 / 40卷 / 20期
基金：
中国国家自然科学基金;
关键词：
Consensus algorithm; Distributed algorithm; Multi-area; Optimal power flow;
D O I：
10.13334/j.0258-8013.pcsee.192009
中图分类号：
学科分类号：
摘要：
Given increasingly frequent electricity transfers across areas, distributed optimization is of research interest because it respects privacy and autonomous operation for different areas. However, some areas may disobey given optimization algorithms to gain illegal benefits, which distort the optimal allocation of resources. This paper proposed a distributed algorithm to address the multi-area optimal power flow problem based on the blockchain consensus mechanism. For typical distributed algorithms and decentralized algorithms, this paper first analyzed possible strategies of malicious areas to gain illegal benefits by tampering with the communication protocols. Then this paper designed a distributed optimization algorithm based on the blockchain consensus mechanism. Two critical steps, delegate election and area verification, were introduced to the iterative process. Manipulated information was discarded and the reliability and optimality of the inter-area power flow was ensured. Simulation results show that the proposed algorithm can suppress malicious behaviors in a multi-area system and ensure fairness. © 2020 Chin. Soc. for Elec. Eng.
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页码：6433 / 6441
页数：8
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