Forecasting distribution feeder loads: modeling and application to volt/VAr control

Author

Civanlar, S. ; Grainger, J.J.

Author_Institution

Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA

Volume

3

Issue

1

fYear

1988

fDate

1/1/1988 12:00:00 AM

Firstpage

255

Lastpage

264

Abstract

The kVAr and kW loads on typical residential and industrial feeders are modeled on the basis of actual data. Using a regression model, it is shown that the two loads conform. The model permits computation of the power factor and the effective amount of fixed and switched capacitance on the feeders. The load variation is decomposed into three major components, namely a weather-load component, deterministic hourly load variation, and random fluctuations, and a one-step-ahead-feeder kW load forecast model is developed. An application of the regression and the load forecast models to the volt/VAr control problem on distribution systems is demonstrated

Keywords

distribution networks; load forecasting; power control; power system control; reactive power; voltage control; VAr control; capacitance; deterministic hourly load variation; distribution feeder loads forecasting; modeling; one-step-ahead-feeder kW load forecast model; power factor; random fluctuations; regression model; voltage control; weather-load component; Application software; Automatic control; Capacitance; Capacitors; Computational modeling; Fluctuations; Load forecasting; Load management; Load modeling; Power system modeling; Predictive models; Reactive power; Substations;

fLanguage

English

Journal_Title

Power Delivery, IEEE Transactions on

Publisher

ieee

ISSN

0885-8977

Type

jour

DOI

10.1109/61.4253

Filename

4253