Title
Adaptive Dynamic Simulations for Distribution Systems Using Multistate Load Models
Abstract
The deployment of new sensors and devices on electric distribution systems is increasing the awareness of phenomena characterized by intermittent periods of highly dynamic activity that occur within extended periods of relatively static behavior. The deployment of new devices has enabled the observation of these phenomena; however, the currently available simulation methods cannot accurately reproduce the entire system behavior. Existing simulation methods, and their associated models, are able to capture portions of these phenomena, but there is not a method for efficiently modeling the entire event in a single simulation. This paper presents a novel method of adaptive simulation that enables automated transitions between quasi-static time-series and electromechancial simulation modes, as necessary to capture relevant system dynamics. The transitions between the simulation modes are triggered automatically during the running simulation based on the evolution of the system variables, utilizing multistate modes for generators and motors. This method allows for a single simulation that spans the entire time-frame, has the ability to capture dynamic events, and includes all relevant power system controls. The method of adaptive simulation can support the direct analysis of dynamic power system events, co-simulation of transmission and distribution systems, the development of control systems, and the development of reduced-order models.
Year
DOI
Venue
2019
10.1109/TSG.2018.2794180
IEEE Transactions on Smart Grid
Keywords
Field
DocType
Adaptation models,Power system dynamics,Generators,Numerical models,Load modeling,Mathematical model,Switches
Software deployment,Load modeling,Distribution system,Electric power system,Control engineering,Dynamic demand,System dynamics,Engineering,Static behavior,Control system
Journal
Volume
Issue
ISSN
10
2
1949-3053
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Kevin Schneider16513.63
Francis Tuffner2113.02
Marcelo Elizondo3204.73
jacob hansen4113.45
Jason C. Fuller5264.59
David P. Chassin664.29