Objective
- To understand the nature of individual load profiles
- To calculate load profiles for different consumer types
- To develop improved models for predicting load from weather variables
- To compare numerical techniques for decomposing load curves
- To measure the power factors on domestic appliances and a small sample of houses
Tansformer load data were obtained, with relevant weather data. Power factors (PFs) were
measured on domestic appliances, and on four houses.
The optimum averaging period for temperature/load correlations was 7 days. Loads were shown
to be a non-linear (tanh) function of temperature. Winter evening loads correlated better with solar
radiation than temperature. Many domestic appliance PFs were poor. Whole-house PFs varied
between 0.6 and 1, averaging around 0.85.
Reliable customer profiles are needed for DSM programmes. Domestic profiles based on local household characteristics are needed. Technology changes suggest further reductions in domestic PFs. More work is needed to gather data, and consider the economic and environmental implications of poor domestic PFs for the Electricity
Industry, and options for remedial action.
Programme(s)
Topic(s)
Call for proposal
Data not availableFunding Scheme
CSC - Cost-sharing contractsCoordinator
CH1 6ES Chester
United Kingdom