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

Volume

9

Issue

3

fYear

1994

fDate

8/1/1994 12:00:00 AM

Firstpage

1450

Lastpage

1456

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;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.336118

Filename

336118