Two-stage robust optimal scheduling of virtual power plant based on energy blockchain

With the increasing proportion of renewable energy resource access, the architecture, control method and operation mode of the power system begin to change. The introduction of blockchain technology into energy internet system to form an energy blockchain network is conducive to solving the information security and other issues. The blockchain is introduced into the scheduling and operation mechanism of VPP(Virtual Power Plant). Aiming at the power system model participating with new energies, the practical Byzantine fault tolerance algorithm consensus mechanism suitable for VPP is proposed to realize the semi-centralization two-stage robust optimal scheduling model under blockchain, which remains the guiding role of VPP control center. In the first stage, the pre-scheduling scheme is solved. In the second stage, the blockchain technology is used to obtain historical data, and a data-driven wind power output 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 optimization process, the verification function of blockchain consensus mechanism is used to discard the information tampered by malicious nodes and enhance the system's fault tolerance capability. The effectiveness of the proposed method is verified by a simulation example. © 2020, Electric Power Automation Equipment Press. All right reserved.