A mathematical modelling framework for optimal demand response incentives and retrofit

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, a mathematical optimization model is presented for a demand response program in South Africa. The demand response scheme termed Standard Product Program encourages customers to replace inefficient energy appliances with energy efficient ones. The state owned utility, pays an incentive to willing and participating customers. The incentive to be offered by the utility is very important and there is a need for it to be optimal, attractive to customers and at the same time achieve desired program objectives. The mathematical model presented in this paper is a multi-objective optimization problem with the first objective to minimize the utility's levelized cost and the second to maximize the total power saved. Model validation is done using data from the South African Standard Product Program. Obtained results indicate the robustness, practicality and accuracy of the developed model.

Original languageEnglish
Title of host publication2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3821-3826
Number of pages6
ISBN (Electronic)9781538618868
DOIs
Publication statusPublished - 19 Jun 2018
Event2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017 - Chennai, India
Duration: 1 Aug 20172 Aug 2017

Publication series

Name2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017

Conference

Conference2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017
Country/TerritoryIndia
CityChennai
Period1/08/172/08/17

Keywords

  • Cost effectiveness
  • Demand response
  • Energy savings
  • South Africa
  • Standard product program

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Decision Sciences (miscellaneous)
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Computer Science Applications
  • Signal Processing

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