Maximum demand control: a survey and comparative evaluation of different methods

Author

Jorge, Humberto ; Martins, A. ; Gomes, Alvaro

Author_Institution

Dept. de Engenharia Electrotecnica, Coimbra Univ., Portugal

Volume

8

Issue

3

fYear

1993

fDate

8/1/1993 12:00:00 AM

Firstpage

1013

Lastpage

1019

Abstract

A comparative analysis of different maximum demand (MD) control algorithms is presented. The algorithms considered belong either to the ideal load curve (ILC) or the predictor (PR) classes. A software simulation package (SIMCA-E²) has been used to perform the tests, using some typical as well as some extreme load simulations, seeking to assure comparability between the different tested algorithms. The main criteria used for evaluation have been: effectiveness of MD control, unavailability of loads, and frequency of shedding actions. The results are discussed both in a self-contained analysis for each class of algorithms and in a cross-comparative fashion

Keywords

digital simulation; load (electric); power system analysis computing; power system control; SIMCA-E²; comparative evaluation; ideal load curve; load simulations; maximum demand control; predictor classes; self-contained analysis; software simulation package; Automatic control; Control systems; Energy management; Frequency; Load management; Microprogramming; Power demand; Power measurement; Power system restoration; Testing;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.260899

Filename

260899