Fault Identification and Relay Protection of Hybrid Microgrid Using Blockchain and Machine Learning

Microgrids are a kind of solution for renewable energy. The microgrids are connected to grids for channelizing power by consuming minimal energy. The microgrids are prone to faults, and timely identification of faults is very important for the smooth execution of microgrids for providing renewable energy solutions. The existing methods have ignored the regional layering of AC/DC hybrid microgrid, and so the identification rate of power faults and the success rate of relay protection are very low. To solve the aforementioned problems effectively, a method of fault identification and relay protection for wind power supply in AC/DC hybrid microgrid is proposed, which uses blockchain and machine intelligence. First, the identification model of wind power supply in AC/DC hybrid microgrid of power system is established by the reverse reasoning method. According to the structure and composition of power grid, machine intelligence-based identification model could be combined to form the regional layering form of the power supply fault identification model. Second, the states of adjacent components are introduced to form a nested structure in a blockchain environment. By analyzing the change rate of AC bus current and cooperating with DC side, the regions of protection action are determined, and then, the fault is removed accurately and quickly. Simulation results show that the proposed method can effectively improve the identification rate of power supply fault and can enhance the success rate of relay protection.