Abstract
In the smart grid scenario, this article proposes a blockchain-based smart grid service system based on the alliance chain established by power plants, distribution network operators, energy storage operators, and power companies as nodes. Each node can flexibly change its role according to its own needs, and can be used as a service provider or as a user requesting service. In this service system, users and service providers store business data and transaction data through the blockchain, and match services through smart contracts. On this basis, this paper establishes a mathematical model of power business service quality, abstracts the user matching power business process as a service composition problem under the constraint of service quality, and uses the multi-objective optimization algorithm MOEA/D as the basis, based on price, time delay, Service quality indicators such as bandwidth are analyzed and optimized for optimization goals. On the one hand, in the smart grid scenario, it has achieved decentralization, improved power data security, and user privacy security. On the other hand, multi-objective optimization algorithms are used to optimize the different needs of users to improve the service quality of the smart grid system. The results of calculation examples verify the validity and rationality of the proposed framework.
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Acknowledgement
Thanks for all colleagues from the STATE GRID HENAN INFORMATION & TELECOMMUNICATION COMPANY (DATA CENTER) and Beijing Fibrlink Communications Co., Ltd.
Funding
This work has been supported by State Grid Corporation of China science and technology project “Key technology and application of new multi-mode intelligent network for State Grid” (5700-202024176A-0-0-00).
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Ou, Q. et al. (2021). A MOEA-D-Based Service Quality Matching Optimization Algorithm in Electric Power Communication Network. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2021. Lecture Notes in Computer Science(), vol 12737. Springer, Cham. https://doi.org/10.1007/978-3-030-78612-0_49
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DOI: https://doi.org/10.1007/978-3-030-78612-0_49
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