no code implementations • 11 Jun 2024 • Ning Qi, Pierre Pinson, Mads R. Almassalkhi, Yingrui Zhuang, Yifan Su, Feng Liu
Generalized energy storage (GES), encompassing both physical and virtual energy storage, can provide remarkable but uncertain adequacy flexibility.
no code implementations • 21 May 2024 • Mazen Elsaadany, Mads R. Almassalkhi
In this paper, the dynamic behavior of a TCL fleet is modeled and used to characterize the set possible changes in aggregate demand that can be reached and the corresponding time for which the demand change can be held, for a given change in setpoint.
no code implementations • 9 Jan 2024 • Waheed Owonikoko, Mazen Elsaadany, Amritanshu Pandey, Mads R. Almassalkhi
High penetration of renewable resources results in a power system with lower inertia and higher frequency sensitivity to power imbalances.
no code implementations • 26 Jul 2023 • Hani Mavalizadeh, Luis A. Duffaut Espinosa, Mads R. Almassalkhi
Furthermore, spectral analysis of historical frequency regulation data is used to produce a probabilistic bound on the expected available synthetic damping for primary frequency control from a fleet and the trade-off from concurrently providing secondary frequency control services.
no code implementations • 15 May 2022 • Sarnaduti Brahma, Hamid R. Ossareh, Mads R. Almassalkhi
The performance of frequency regulating units for automatic generation control (AGC) of power systems depends on their ability to track the AGC signal accurately.
no code implementations • 12 Apr 2022 • Samuel Chevalier, Mads R. Almassalkhi
To overcome this challenge, this paper presents a novel network reduction methodology that leverages an efficient mixed-integer linear programming (MILP) formulation of a Kron-based reduction that is optimal in the sense that it balances the degree of the reduction with resulting modeling errors in the reduced network.