Bilevel aggregator-prosumers' optimization problem in real-time: A convex optimization approach
Koorosh Shomalzadeh, Jacquelien M.A. Scherpen, M. Kanat Camlibel
Abstract
Open-access reader
Koorosh Shomalzadeh, Jacquelien M.A. Scherpen, M. Kanat Camlibel
Abstract
Open-access reader
This paper proposes a Real-Time Market (RTM) platform for an aggregator and its corresponding prosumers to participate in the electricity wholesale market. The proposed energy market platform is modeled as a bilevel optimization problem where the aggregator and the prosumers are considered as self-interested agents. We present a convex optimization problem which can capture a subset of the set of global optima of the bilevel problem as its optimal solution.
OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper proposes a Real-Time Market (RTM) platform for an aggregator and its corresponding prosumers to participate in the electricity wholesale market. The proposed energy market platform is modeled as a bilevel optimization problem where the aggregator and the prosumers are considered as self-interested agents. We present a convex optimization problem which can capture a subset of the set of global optima of the bilevel problem as its optimal solution.
Key concepts: News aggregator, Bilevel optimization, Mathematical optimization, Optimization problem, Computer science, Convex optimization, Set (abstract data type), Regular polygon