A Multiblockchain-Oriented Decentralized Market Framework for Frequency Regulation Service

• Published in: IEEE transactions on industrial informatics Vol. 17; no. 12; pp. 8219 - 8229
• Main Authors: Wang, Qian, Luo, Zhao, Liu, Kezhen, Ding, Tao, Shen, Xin, Mo, Xi, Qin, Jinghui, Chen, Leidan
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.12.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Blockchain; Combinatorial analysis; Combinatorial double auction; cost sharing; Data storage; decentralized market; Electric power distribution; Fault tolerance; Frequency control; frequency regulation (FR) services; Informatics; Mathematical model; Microgrids; multiblockchain; Regulation; Vehicle-to-grid
• ISSN: 1551-3203; 1941-0050
• DOI: 10.1109/TII.2021.3062623

As an auxiliary to the electricity market, the traditional frequency regulation market (FRM) lacks reliable data storage ways and direct transaction channels for buyers and sellers, and the cost-sharing method of frequency regulation (FR) service is still unfair. To this end, this article proposes a general and decentralized FRM framework based on multiblockchain techniques. According to the scheduling sequence of transactions, the FR services are divided mainly into before-the-fact transactions (BFTs) and after-the-fact transactions (AFTs). We construct a combinatorial double-auction model for BFTs and propose a novel cost-sharing model based on triggers for AFTs. Taking Pennsylvania-New Jersey-Maryland as an example, we design a consensus algorithm for the on-chain transaction process and cost sharing. Numerical results on both types of transactions show that the proposed auction model can meet the different needs of FR buyers. The proposed sharing method highlights that triggers from frequency events should result in higher costs. The consensus algorithm also improves the fault tolerance and throughput of transactions.