Using utility information to calibrate customer demand management behavior models

Fahrioglu M., Alvarado F.

IEEE TRANSACTIONS ON POWER SYSTEMS, vol.16, no.2, pp.317-322, 2001 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 16 Issue: 2
  • Publication Date: 2001
  • Doi Number: 10.1109/59.918305
  • Journal Name: IEEE TRANSACTIONS ON POWER SYSTEMS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.317-322
  • Keywords: contract design, customer cost, data calibration, demand management, load curtailment, system security, POWER
  • Middle East Technical University Northern Cyprus Campus Affiliated: No

Abstract

In times of stress customers can help a utility by means of voluntary demand management programs if they are offered the right incentives. The incentives offered can be optimized if the utility can estimate the outage or substitution costs of its customers. This paper illustrates how existing utility data can be used to predict customer demand management behavior. More specifically, it shows how estimated customer cost functions can be calibrated to help in designing efficient demand management contracts.