A Multi-Chain Consensus for Power Big Data Transaction in Generation-Grid-Load-Storage Integrated Networks

The Generation-Grid-Load-Storage (GGLS) integrated network was born in the context of carbon neutrality to deal with the unstable impact on power grid operation by renewable energy. The network contains many different entities that generate a large amount of power data along with power transmission, known as Power Big Data (PBD). It assists power companies in formulating marketing and pricing strategies, and also helps to develop power generation and dispatching. Nevertheless, the intensive PBD transaction poses privacy breaches, particularly erroneous transactions misleading the formulation of the above strategies, and causing significant economic losses. As a decentralized system, blockchain offers a trusted environment for PBD interactions. However, the intricate blockchain consensus mechanisms contribute to low processing speeds and scalability challenges, rendering it less suitable for effectively handling high-frequency and extensive PBD transactions. To address this limitation, this study proposes a multi-chain system tailored to the data sources and its parallel consensus mechanism, facilitating efficient processing of PBD transactions. Simulation outcomes demonstrate that our design can meet the transaction requirements with notable efficiency and scalability.