Modeling the Partial Renewable Power Curtailment for Transmission Network Management
Autor: | Alessio Iovine, Jean Maeght, Sorin Olaru, Patrick Panciatici, Manuel Ruiz, Duc-Trung Hoang |
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Přispěvatelé: | Laboratoire des signaux et systèmes (L2S), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Réseau de Transport d'Electricité [Paris] (RTE), European Project: 826276,CPS4EU(2019), Réseau de Transport d'Electricité-RTE |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Emulation
Power transmission Mathematical model Dynamical systems theory Computer science business.industry energy storage Distributed computing Index Terms-Modeling [SPI.NRJ]Engineering Sciences [physics]/Electric power [MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS] partial curtail- ment transmission network Dynamical system 7. Clean energy Energy storage Renewable energy [SPI.AUTO]Engineering Sciences [physics]/Automatic transmission network modeling Control system business |
Zdroj: | 2021 IEEE Madrid PowerTech 2021 IEEE PowerTech Conference 2021 IEEE PowerTech Conference, Jun 2021, Madrid, Spain. ⟨10.1109/powertech46648.2021.9494993⟩ |
DOI: | 10.1109/powertech46648.2021.9494993⟩ |
Popis: | International audience; Congestion problems are increasing in number in power transmission networks due to the increment of renewable power sources along it. To reduce their impact, Transmission System Operators (TSOs) as the French RTE use network recon-figuration or renewable power curtailment in complex subtrans-mission areas. The operators need enhanced methodological tools to better address the optimal power flow management problem by also using novel levers as for example the storage devices. This paper proposes mathematical models which integrate the possibility to partially curtail the renewable power in the form of a dynamical system representing the transmission network, also considering storage devices. |
Databáze: | OpenAIRE |
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