DocumentCode
2051642
Title
Implementation of load profile test for electricity distribution networks
Author
Ran Li ; Chenghong Gu ; Yan Zhang ; Furong Li
Author_Institution
Dept. of Electron. & Electr. Eng., Univ. of Bath, Bath, UK
fYear
2012
fDate
22-26 July 2012
Firstpage
1
Lastpage
6
Abstract
Load profiles play an important role in electricity industry. They are widely used in tariff design and system operation planning. In the UK, the load profiles currently used by the industry were developed in 1990s. Although they have served the industry well for decades, the increasing number of low carbon customers may cause the actual load profiles to deviate from the original benchmarks. Thus, these existing load profiles may not be able to appropriately reflect the energy usage patterns nowadays. Therefore, it is necessary to test the accuracy and applicability of the existing classic load profiles and further refine them to better mimic the actual power consumption patterns. Theoretically, it is more accurate to obtain load profiles by measuring the power consumption of all customers in each class; however, the reality is that it is often too expensive or impractical to collect and analyze the load data for an entire area. This report proposes a power synthesis approach to testify and analyze the representativeness of the existing load profiles in the new power environment. The load profiles currently used by the UK´s industry are first introduced and they are further tested with the recorded data taken from Dowlishford substation in Southwest England. Obtained results show that the current load profiles are out of date, and the corresponding errors are identified and the causes are analyzed.
Keywords
distribution networks; Dowlishford substation; Southwest England; UK industry; electricity distribution networks; electricity industry; energy usage patterns; load profile test; power consumption patterns; power environment; power synthesis approach; system operation planning; tariff design; Accuracy; Electricity; Industries; Power demand; Sociology; Statistics; Substations; error analysis; load profiles; power profile synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location
San Diego, CA
ISSN
1944-9925
Print_ISBN
978-1-4673-2727-5
Electronic_ISBN
1944-9925
Type
conf
DOI
10.1109/PESGM.2012.6345038
Filename
6345038
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