Journal article
Aggregator of demand response for renewable integration and customer engagement: Strengths, weaknesses, opportunities, and threats
Energies, Vol.11(9), Article: 2391
2018
Abstract
The world is progressing towards a more advanced society where end-consumers have access to local renewable-based generation and advanced forms of information and technology. Hence, it is in a current state of transition between the traditional approach to power generation and distribution, where end-consumers of electricity have typically been inactive in their involvement with energy markets and a new approach that integrates their active participation. This new approach includes the use of distributed energy resources (DER) such as renewable-based generation and demand response (DR), which are being rapidly adopted by end-consumers where incentives are strong. This paper presents the role of the DR aggregator to effectively integrate DER technology as a new source of energy capacity into electricity networks using information communication technology and industry knowledge., Based on DR aggregators, this framework will efficiently facilitate renewable energy integration and customer engagement into the electricity market. To this aim, advantages and disadvantages of DR aggregators are discussed in this paper from political, economic, social, and technological (PEST) points of view. Based on this analysis, a strengths, weaknesses, opportunities, and threats (SWOT) analysis for a typical DR aggregator is presented.
Details
- Title
- Aggregator of demand response for renewable integration and customer engagement: Strengths, weaknesses, opportunities, and threats
- Authors/Creators
- K.T. Ponds (Author/Creator)A. Arefi (Author/Creator)A. Sayigh (Author/Creator)G. Ledwich (Author/Creator)
- Publication Details
- Energies, Vol.11(9), Article: 2391
- Publisher
- MDPI AG
- Identifiers
- 991005544004607891
- Copyright
- © 2018 by the authors. Licensee MDPI, Basel, Switzerland
- Murdoch Affiliation
- School of Engineering and Information Technology
- Language
- English
- Resource Type
- Journal article
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- 4.18.204 Smart Grid Optimization
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