DocumentCode :
3561012
Title :
Multi-State Load Models for Distribution System Analysis
Author :
Schneider, Kevin P. ; Fuller, Jason C. ; Chassin, David P.
Author_Institution :
Battelle Seattle Res. Center, Pacific Northwest Nat. Lab., Seattle, WA, USA
Volume :
26
Issue :
4
fYear :
2011
Firstpage :
2425
Lastpage :
2433
Abstract :
Recent work in the field of distribution system analysis has shown that the traditional method of peak load analysis is not adequate for the evaluation of emerging distribution system technologies. Voltage optimization, demand response, electric vehicle charging, and energy storage are examples of technologies with characteristics having daily, seasonal, and/or annual variations. In addition to the seasonal variations, emerging technologies such as demand response and plug-in electric vehicle charging have the potential to receive control signals that affects their energy consumption. To support time-series analysis over different time frames and to incorporate potential control signal inputs, detailed end-use load models that accurately represent loads under various conditions, and not just during the peak load period, are necessary. This paper will build on previous end-use load modeling work and outline the methods of general multi-state load models for distribution system analysis.
Keywords :
battery powered vehicles; energy consumption; energy storage; optimisation; power distribution; time series; demand response; distribution system analysis; electric vehicle charging; end-use load modeling; energy consumption; energy storage; multistate load model; plug-in electric vehicle charging; receive control signals; time-series analysis; voltage optimization; Load modeling; Newton method; Power system simulation; Smart grids; Distribution system analysis; Newton-Raphson method; forward-backward sweep method; load modeling; power modeling; power simulation; smart grid;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
Conference_Location :
5/5/2011 12:00:00 AM
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2011.2132154
Filename :
5762648
Link To Document :
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