Modeling the Partial Renewable Power Curtailment for Transmission Network Management

Autor: Alessio Iovine, Jean Maeght, Sorin Olaru, Patrick Panciatici, Manuel Ruiz, Duc-Trung Hoang
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:
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