Bilevel aggregator-prosumers' optimization problem in real-time: A convex optimization approach

Autor:	Koorosh Shomalzadeh, Jacquelien M.A. Scherpen, M. Kanat Camlibel
Přispěvatelé:	Systems, Control and Applied Analysis, Discrete Technology and Production Automation
Rok vydání:	2022
Předmět:	Computational efficiency Optimization and Control (math.OC) Applied Mathematics Bilevel optimization Real-time electricity market FOS: Mathematics Management Science and Operations Research Mathematics - Optimization and Control Industrial and Manufacturing Engineering Software Convex optimization
Zdroj:	Operations Research Letters, 50(5), 568-573
ISSN:	0167-6377
DOI:	10.1016/j.orl.2022.08.008
Popis:	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-interest agents. The current state-of-the-art Mathematical Programming with Equilibrium Constraints (MPEC) and Mixed-Integer Programming (MIP) based approaches to solve bilevel optimization problems are not satisfactory for real-time applications. The computation time for such approaches grows exponentially as the number of prosumers and decision variables increase. This paper presents a convex optimization problem which can capture a subset of the set of global optima of the bilevel problem as its optimal solution.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23789fc7b2051493eec2de427f467abd https://doi.org/10.1016/j.orl.2022.08.008 Zobrazit plný text záznamu Full Text from ScienceDirect