EMSx: a numerical benchmark for energy management systems
| Autor: | Jean-Philippe Chancelier, Michel De Lara, Pierre Carpentier, Adrien Le Franc |
|---|---|
| Přispěvatelé: | Centre d'Enseignement et de Recherche en Mathématiques et Calcul Scientifique (CERMICS), École des Ponts ParisTech (ENPC), Optimisation et commande (OC), Unité de Mathématiques Appliquées (UMA), École Nationale Supérieure de Techniques Avancées (ENSTA Paris)-École Nationale Supérieure de Techniques Avancées (ENSTA Paris), École Nationale Supérieure de Techniques Avancées (ENSTA Paris) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Economics and Econometrics Multistage stochastic optimization Computer science Energy management 0211 other engineering and technologies 02 engineering and technology Energy transition 7. Clean energy 020901 industrial engineering & automation Control theory FOS: Mathematics 021108 energy Mathematics - Optimization and Control [SPI.NRJ]Engineering Sciences [physics]/Electric power Control engineering Grid Stochastic programming Model predictive control General Energy Optimization and Control (math.OC) Modeling and Simulation Numerical benchmark Benchmark (computing) Microgrid [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] Electric microgrid |
| Zdroj: | Energy Systems Energy Systems, Springer, 2021 |
| ISSN: | 1868-3967 1868-3975 |
| Popis: | International audience; Inserting renewable energy in the electric grid in a decentralized manneris a key challenge of the energy transition. However, at local scale, both production and demand display erratic behavior, which makes it delicate to match them. It is the goal of Energy Management Systems (EMS) to achieve such balance at least cost. We present EMSx, a numerical benchmark for testing control algorithms for the management of electric microgrids equipped with a photovoltaic unit and an energy storage system. EMSx is made of three key components: the EMSx dataset, provided by Schneider Electric, contains a diverse pool of realistic microgrids with a rich collection of historical observations and forecasts; the EMSx mathematical framework is an explicit description of the assessment of electric microgrid control techniques and algorithms; the EMSx software EMSx.jl is a package, implemented in the Julia language, which enables to easily implement a microgrid controller and to test it. All components of the benchmark are publicly available, so that other researchers willing to test controllers on EMSx may reproduce experiments easily. Eventually, we showcase the results of standard microgrid control methods, including Model Predictive Control, Open Loop Feedback Control and Stochastic Dynamic Programming. |
| Databáze: | OpenAIRE |
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