Open AccessModeling of intelligent distribution network self-healing control state transition based on FSM
Author(s) -
Bin Hao,
Min’an Tang,
Fan Yu,
Xiyuan Xu
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/569/4/042055
Subject(s) - stateflow , finite state machine , fault (geology) , state (computer science) , computer science , matlab , artificial neural network , engineering , control (management) , control engineering , control theory (sociology) , artificial intelligence , algorithm , seismology , geology , operating system
In order to realize effective prevention from faults, cut-off the fault quickly and power supply recovery from power loss load in intelligent distribution network, this paper proposed a state transition model of self-healing control for intelligent distribution network based on Finite State Machine (FSM). We divided the running states into normal state and fault state, added finite variables to FSM. determined the operation state transition control schemes of intelligent distribution network self-healing control. Considering distributed generation(DG), we established the state transition model of intelligent distribution network self-healing control system on Matlab/Stateflow platform and applied to simulation example. The results show that the proposed state transition scheme is feasible and effective.