Title :
Estimation of diversity and kWHR-to-peak-kW factors from load research data
Author :
Sargent, Al ; Broadwater, Robert P. ; Thompson, Jeffrey C. ; Nazarko, Joanicjusz
Author_Institution :
Arkansas Power and Light, Hot Springs, AR, USA
fDate :
8/1/1994 12:00:00 AM
Abstract :
Hourly load research data for residential customers is used to calculate diversity factors and kWHR-to-peak-kW factors. The customers are grouped into two classes based on their type of heating. The class-based diversity factors are a function of the number of customers, month and type of day. The class-based kWHR-to-peak-kW factors are a function of the month and type of day. With the use of control samples, comparisons are made between estimated and measured peak kW. Estimated daily load profiles are also calculated and compared to measured daily load profiles
Keywords :
economics; electric heating; invoicing; load (electric); power consumption; power system planning; space heating; billing cycle; class-based diversity; estimated daily load profiles; estimated peak kW; heating; hourly load research data; kWHR-to-peak-kW factors; measured daily load profiles; measured peak kW; residential customers; Capacitors; Circuits; Conductors; Data engineering; Heating; Power engineering and energy; Power system interconnection; Springs; Testing; Yield estimation;
Journal_Title :
Power Systems, IEEE Transactions on
