TY - JOUR
T1 - Micro-flexibility: Challenges for power system modeling and control
AU - Chatzivasileiadis, Spyros
AU - Aristidou, Petros
AU - Dassios, Ioannis
AU - Dragicevic, Tomislav
AU - Gebbran, Daniel
AU - Milano, Federico
AU - Rahmann, Claudia
AU - Ramasubramanian, Deepak
PY - 2023
Y1 - 2023
N2 - This paper collects the challenges and opportunities that emerge from the millions of controllable devices – and the micro-flexibility they offer – that are deployed across the transmission and distribution systems. Moving to power systems that are dominated by converter-interfaced resources poses both threats and opportunities. On the one hand, new dynamic phenomena and types of instability arise and there is need for advanced simulation tools. On the other hand, these devices allow for a massive decentralized and direct response to disturbances. The emerging power system paradigm aims to tap the flexibility potential of the millions of controllable devices to ensure the safe operation of power systems. To achieve that, however, we first need to address a range of modeling and control challenges. This paper attempts to identify and describe these challenges.
AB - This paper collects the challenges and opportunities that emerge from the millions of controllable devices – and the micro-flexibility they offer – that are deployed across the transmission and distribution systems. Moving to power systems that are dominated by converter-interfaced resources poses both threats and opportunities. On the one hand, new dynamic phenomena and types of instability arise and there is need for advanced simulation tools. On the other hand, these devices allow for a massive decentralized and direct response to disturbances. The emerging power system paradigm aims to tap the flexibility potential of the millions of controllable devices to ensure the safe operation of power systems. To achieve that, however, we first need to address a range of modeling and control challenges. This paper attempts to identify and describe these challenges.
KW - Granularity
KW - Stochastic systems
KW - Zero-inertia
KW - Power electronics
U2 - 10.1016/j.epsr.2022.109002
DO - 10.1016/j.epsr.2022.109002
M3 - Journal article
SN - 0378-7796
VL - 216
JO - Electric Power Systems Research
JF - Electric Power Systems Research
M1 - 109002
ER -