On the Solution of a Bilevel Electricity Market Optimization Problem
| Autor: | Koorosh Shomalzadeh, Jacquelien M.A. Scherpen, M. Kanat Camlibel |
|---|---|
| Přispěvatelé: | Systems, Control and Applied Analysis, Discrete Technology and Production Automation |
| Rok vydání: | 2020 |
| Předmět: |
Computer Science::Computer Science and Game Theory
Mathematical optimization Optimization problem Balancing market Computer science Computation Mathematics::Optimization and Control Regular polygon computer.software_genre Bilevel optimization News aggregator Convex optimization Electricity market computer |
| Zdroj: | ECC STARTPAGE=1354;ENDPAGE=1357;TITLE=2020 European Control Conference (ECC) |
| DOI: | 10.23919/ecc51009.2020.9143634 |
| Popis: | This paper studies the static economic optimization problem with a single aggregator and multiple prosumers in a Real-Time Balancing Market (RTBM). We model this problem as a bilevel optimization problem. The state-of-the-art approach to solve a bilevel optimization problem is to reformulate it as a Mixed-Integer Programming (MIP). We propose a convex equivalent optimization problem for the original bilevel one and prove that the global optimum of the prosumers/aggregator bilevel problem can be found by solving the convex problem. Also, we demonstrate the efficiency of our convex equivalent with respect to the MIP formulation in terms of computation time and optimality by means of simulations. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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