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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | McQueen, D.H.O. Hyland, P.R. Watson, S.J. |
| Copyright Year | 1969 |
| Abstract | Estimating voltage regulation on Low-Voltage (LV) networks is "bread and butter" work for many electricity network engineers. Despite a universal appreciation that voltage quality, to the consumer, is a statistical problem driven by uncertainty in consumer coincident demands, general industry practice still uses empirical formulae based on the concept of an After Diversity Maximum Demand (ADMD). Lack of understanding of the distributional nature of consumer demand and the impact of this on four-wire LV networks restricts innovative and least-cost solutions to voltage regulation problems. Solving these problems will also lead to better understanding of the impacts of fuel switching and consumer side distributed generation. This paper summarizes research work on Monte Carlo modeling of residential electricity demand and its application to LV regulation problems. Validity of the method is demonstrated by comparison of predicted distributions of delivered voltage to actual voltage recordings for three case studies. The relevance of this modeling technique is discussed, and its application to fuel switching and distributed generation problems are promoted. |
| Sponsorship | IEEE Power Engineering Society |
| Starting Page | 279 |
| Ending Page | 285 |
| Page Count | 7 |
| File Size | 310313 |
| File Format | |
| ISSN | 08858950 |
| Volume Number | 20 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-02-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Voltage control Fuels Distributed control Power quality Uncertainty Monte Carlo methods Power distribution Electricity supply industry Power cables Investments simulation Load modeling power distribution power quality |
| Content Type | Text |
| Resource Type | Article |
| Subject | Energy Engineering and Power Technology Electrical and Electronic Engineering |
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