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An analysis of how energy aggregator concepts add value to the power system

Ponds, Kody Tecumseh (2016) An analysis of how energy aggregator concepts add value to the power system. Honours thesis, Murdoch University.

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The power system is in a state of transition due to the increased amount of distributed energy resources (renewable energy technology, electric vehicles and demand response programs) emerging on the demand-side of the grid. Integrating these new technology sources into existing infrastructure and energy markets poses extensive challenges for power systems worldwide as operators do not have the appropriate mechanisms for monitoring or controlling low voltage networks, which is typically where these sources are connected. Energy aggregators are emerging market participants that facilitate the integration of demand-side technology by capitalising on current advances in information communication technology to develop new products that engage end-consumer participation in electricity markets. The main goal of an energy aggregator is to contractually engage with sufficient distributed energy resources from various end-consumers that the accumulative whole is large enough to participate in wholesale electricity markets. These aggregators have the ability to bridge the information and technology gap that is currently being faced by power networks today. This honours research thesis outlines the structure of a Demand Response Aggregator, Distributed Generation Aggregator and Vehicle-to-Grid Aggregator and applies the following analyses: A strengths, weaknesses, opportunities and threats (SWOT) analysis for each aggregator is presented, and an investment matrix is qualitatively derived which is then used to evaluate the potential ‘value’ the aggregators can add to the overall power system. In addition, a Porter’s Value Chain analysis is used to distinguish what ‘support’ activities each aggregator can provide to enhance and add value to the power systems ‘primary activities’ (supply chain activities).

Item Type: Thesis (Honours)
Murdoch Affiliation(s): School of Engineering and Information Technology
Supervisor(s): Arefi, Ali
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