Title :
Physically Based Industrial Electric Load
Author :
Manichaikul, Y. ; Schweppe, F.C.
Author_Institution :
Bell Laboratories
fDate :
7/1/1979 12:00:00 AM
Abstract :
A new physically based industrial electric load demand modeling methodology is described. The demand (kW) of each individual industrial firm is analyzed in detail from two basic physical aspects: the stochastic aspects of the use of individual pieces of equipment and the product flow and storage structure of the individual processes. The mathematical models describing the two aspects are formulated. The modeling methodology was tested out and verified with data of various types gathered from seven industrial customers of New England Electric System. Data on the firms´ structure, production processes, equipment types and equipment utilization yielded stochastic models whose time varying mean values and autocorrelation functions compared favorably with those computed from 15 minute time average measurements of actual plant behavior. The model provides a basis for many types of studies such as the effect of time of day pricing.
Keywords :
Autocorrelation; Electrical equipment industry; Load modeling; Machinery production industries; Markov processes; Mathematical model; Pricing; Random processes; Stochastic processes; System testing;
Journal_Title :
Power Apparatus and Systems, IEEE Transactions on
DOI :
10.1109/TPAS.1979.319346