In recent years, the adoption of blockchain technology in energy data metrology has become a hot research topic in energy IoT and blockchain. Blockchain is used to ensure measurement data authenticity, storage immutability, transaction reliability, communication security, etc. Due to the enormous data volume, short data uploading period, and high data uploading frequency in the electricity data metrology scenario, adopting an efficient and practical consensus algorithm becomes a key challenge to integrating blockchain into power grids. To address the problems of low transaction throughput and long consensus latency of practical Byzantine fault-tolerant (PBFT) algorithm under such a scenario, this paper proposes an Asynchronous Byzantine fault-tolerant consensus algorithm (ABFT). First, the transaction set collection phase in the consensus algorithm is improved, and SHA-MAP trees are used to store transaction sets so that blockchain nodes may broadcast, check, request, and validate the digest of transaction sets instead of the transactions themselves, reducing network redundancy and consumption; second, asynchronous parallel validation of transactions is achieved without reducing system liveness, effectively improving consensus efficiency; finally, we changed the view-change process so that nodes do not need to wait for leader node timeout to initiate a new view-change process, reducing the consensus delay. Experimental results showed that the performance of ABFT algorithm is substantially higher than that of PBFT. Therefore, ABFT can better meet the requirements of electricity data metrology.
KEYWORDS: Blockchain, Data storage, Design and modelling, Materials processing, Industry, Computer security, Power grids, Data acquisition, Telecommunications, Industrial applications
In recent years, China's electric power business has been booming, the scale of material procurement of electric power enterprises has been growing rapidly, and the intensity and complexity of electric power material management work have also increased significantly. In order to improve the overall level of material management of electric power enterprises, we should plan for the long term, actively introduce advanced technology and pursue high-quality development. This paper will discuss the feasibility of applying blockchain technology in the field of material management of electric power enterprises, and then propose a design scheme for a new electric power material management system based on blockchain technology for the industry of electric power material management to make reference to.
This paper deeply studies the user load clustering method and user industry correlation indicators, proposes a massive power user clustering algorithm based on data-physical characteristics driven jointly. The case study in this paper proves that this method not only ensures the quality of user load clustering, but also greatly ensures the consistency of user industry categories within the class.
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