NDLI: Multi-status modelling and event simulation in smart distribution network based on finite state machine

Content Provider	IET Digital Library
Author	Lv, Chen Sheng, Wanxing Liu, Ke yan Dong, Xinzhou Deng, Pan
Abstract	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.
Starting Page	2846
Ending Page	2855
Page Count	10
ISSN	17518687
Volume Number	13
e-ISSN	17518695
Issue Number	Issue 13, Jul (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/13/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.7034
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-04-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Actual Operation Process Distribution Network Dynamic Simulation Model Event Simulation Finite State Machine IEEE 33-bus Multistatus Modelling Multistatus Simulation Experiments Multistatus Simulation Method Operating Status Power Engineering Computing Power System Simulation SDN Simulation Engine Smart Distribution Network Smart Power Grid Steady Simulation Model Voltage 10 KV
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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