文献类型：期刊文献

英文题名：Fault Identification and Relay Protection of Hybrid Microgrid Using Blockchain and Machine Learning

作者：Liu, Yan Gu, Yali Yang, Di Wang, Jingmin

第一作者：Liu, Yan;刘燕

通信作者：Gu, YL[1]

机构：[1]Guizhou Inst Technol, Sch Artificial Intelligence & Elect Engn, Guiyang 550003, Peoples R China;[2]North China Elect Power Univ, Sch Econ & Management, Baoding 071003, Peoples R China

第一机构：贵州理工学院

通信机构：corresponding author), Guizhou Inst Technol, Sch Artificial Intelligence & Elect Engn, Guiyang 550003, Peoples R China.|贵州理工学院;

年份：0

外文期刊名：IETE JOURNAL OF RESEARCH

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000773159600001)】；

基金：This work was supported by Guizhou Province Science and technology plan project [grant number [2020]1Y241].

语种：英文

外文关键词：AC; DC hybrid microgrid; blockchain; fault identification; machine intelligence relay protection; wind power supply

摘要：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.