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 language | English |
|---|---|
| Title of host publication | 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 3821-3826 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538618868 |
| DOIs | |
| Publication status | Published - 19 Jun 2018 |
| Event | 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017 - Chennai, India Duration: 1 Aug 2017 → 2 Aug 2017 |
Publication series
| Name | 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017 |
|---|
Conference
| Conference | 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017 |
|---|---|
| Country/Territory | India |
| City | Chennai |
| Period | 1/08/17 → 2/08/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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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