Aggregator of Demand Response for Renewable Integration and Customer Engagement: Strengths, Weaknesses, Opportunities, and Threats

Kody T. Ponds, Ali Arefi, Ali Sayigh and Gerard Ledwich
Additional contact information
Kody T. Ponds: BHP Billiton Limited, Perth WA 6000, Australia
Ali Arefi: School of Engineering and Information Technology, Murdoch University, Perth WA 6150, Australia
Ali Sayigh: World Renewable Energy Network, Brighton BN2 1FD, UK
Gerard Ledwich: Department of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane QLD 4000, Australia

Energies, 2018, vol. 11, issue 9, 1-20

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.

Keywords: aggregator; demand response; distributed energy resource; information communication technology; renewable energy; SWOT; PEST (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

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