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Section 5 presents two case studies using the transactive control framework.
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This section overviews the studies that apply the transactive control framework for managing distributed energy resources with different purposes in smart grids.
To apply the transactive control in both case studies, a software agent (either an aggregator in Section 5.1 or a local device agent in Section 5.2) will be present to represent the DER's operational flexibility.
Thus, the optimized energy schedule of the aggregators will be used as a baseline in the transactive control method, to prevent grid constraint violation.
In the transactive control framework, the utility function applied in microeconomics is used, and describes the degree of well-being the product provides for consumers.
Three steps are included in the transactive control.
Cases are then presented to illustrate the transactive control framework.
For example, in the first case study, the transactive control method enables the demand response.
Furthermore, the transactive control method is extended to cooperate in frequency reserve markets.
Section 3 reviews the literature that applies to the transactive control framework to manage distributed energy resources.
In addition, a multi-agent model is built in the study to test the transactive control strategy.
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