4.7 Article

Research on decentralized operation scheduling strategy of integrated energy system based on energy blockchain

Journal

INTERNATIONAL JOURNAL OF ENERGY RESEARCH
Volume 46, Issue 15, Pages 21558-21582

Publisher

WILEY-HINDAWI
DOI: 10.1002/er.7598

Keywords

consensus mechanism; decentralized algorithm; energy blockchain; integrated energy system; operation scheduling

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With the growing proportion of renewable energy generation connected to the grid, the architecture, control method, and operation mode of the energy system are changing. The introduction of blockchain technology into the energy system to form an energy blockchain network helps to solve information security issues and others.
With the increasing proportion of renewable energy generation connected to grid, the architecture, control method, and operation mode of the energy system begin to change. The energy system has some problems, such as difficult to maintain the privacy of energy suppliers, difficult to distinguish the authenticity of data, and low security and reliability. The introduction of blockchain technology into energy system to form an energy blockchain network is conducive to solving the information security and other issues. Aiming at the integrated energy system (IES) with renewable energy generation, the practical Byzantine fault tolerance (PBFT) algorithm consensus mechanism suitable for IES is proposed to realize the two-stage robust optimal scheduling model, which uses decentralized scheduling strategy and blockchain technology. In the first stage, the technology of decoupling heat power is used to form electrical/thermal iteration chain, and the decentralized scheduling model based on Lagrange multiplier method is built. For the data consistency of decentralized scheduling, the undirected unicom structure is used to establish the communication network between energy suppliers. The thermal/electrical iterative chain and the terminal chain apply the consistency protocol algorithm and Byzantine fault tolerance consensus mechanism to solve the prescheduling scheme based on the decentralized algorithm. In the second stage, the blockchain technology is used to obtain historical data, and a data-driven renewable generation power uncertain set is established to solve the Regulation scheme. This constraint set can exclude some extreme scenarios to reduce the conservatism of the model. In the two-stage optimization process, the verification function of Byzantine fault tolerance consensus mechanism is used to discard the information tampered by malicious attack and enhance the system fault tolerance capability. The example verification results show that the proposed architecture can operate effectively and save total cost of scheduling solution 5.71%, prevent the energy suppliers from tampering with information and weaken the impact of server downtime and network errors, and improve the privacy, security, and reliability of operation scheduling.

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