Title :
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
fDate :
8/1/1993 12:00:00 AM
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;
Journal_Title :
Power Systems, IEEE Transactions on