Open AccessMulti‐status modelling and event simulation in smart distribution network based on finite state machine
Author(s) -
Lv Chen,
Sheng Wanxing,
Liu Keyan,
Dong Xinzhou,
Deng Pan
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.7034
Subject(s) - computer science , process (computing) , network simulation , event (particle physics) , state (computer science) , dynamic simulation , simulation modeling , computer simulation , finite state machine , simulation , distributed computing , algorithm , physics , quantum mechanics , economics , microeconomics , operating system
This study investigates a multi‐status simulation method based on event‐driven for a smart distribution network (SDN). By switching a steady simulation model and a dynamic simulation model, the typical events of the SDN with various time constants can be simulated within the same simulation framework. The aim of the proposed method is to make full utilisation of the advantages of conventional simulation methods when considering the actual operation process of the SDN with many typical events so that the simulation results can approach the actual situation. To ensure that the operating status and corresponding simulation models of the SDN could be switched correctly and automatically, a simulation engine is proposed and implemented based on a finite state machine. Multi‐status simulation experiments on IEEE 33‐bus and an actual 10‐kV distribution network validate the proposed multi‐status simulation method.