Dynamic Modeling of a Pressurized Alkaline Water Electrolyzer: A Multiphysics Approach

Iribarren, Alvaro; Elizondo, David; Barrios, Ernesto L.; Ibaiondo, Harkaitz; Sanchez-Ruiz, Alain; Arza, Joseba; Sanchis, Pablo; Ursúa, Alfredo

doi:10.1109/tia.2023.3247405

Cited by 9 publications

(1 citation statement)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [8], it was suggested to model a PEMEL's dynamic electrical circuit for frequency stability, resilience, and sensitivity studies in a power grid. In [9], the dynamic modeling of a pressurized alkaline water electrolyzer has been proposed. The application of hydrogen electrolysis devices in virtual inertia and frequency regulation was studied by Dozein et al [6].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Resilient Model Predictive Control Electrolyzers for Frequency Regulations Under Severe Denial-of- Service Attacks

Muangchuen,

Pahasa,

Rakpenthai

2024

IEEE Access

View full text Add to dashboard Cite

Proton exchange membrane electrolyzers (PEMEL) installed with renewable energy resources can be used for power system ancillary services such as frequency regulation and virtual inertia emulation. However, the performance of PEMEL-based frequency ancillary services is threatened by cyberattacks that compromise the communication control. Considering denial-of-service (DoS) attacks on PEMEL communication, this paper proposes an enhanced resilient model predictive control (ER-MPC) for a PEMEL controller. The proposed ER-MPC consists of two procedures. First, the combination of autoregressive (AR) model-based prediction method and hold signal method is used to reconstruct attacked signals during severe DoS attacks. Then a model predictive control (MPC) is used to compute the control signal for PEMEL stack. The objective of ER-MPC-based controlling of PEMEL is to regulate the frequency deviation during contingency and normal operation under severe DoS attack. The effectiveness of the proposed ER-MPC was compared with that of AR-based resilient MPC and resilient MPC methods. The simulation results revealed that the proposed ER-MPC successfully improved microgrid frequency regulations under severe DoS attacks. In addition, the proposed ER-MPC-based PEMEL has a performance effect over other techniques in terms of the reduction in frequency deviation and the rate of change of frequency during severe DoS attacks, disconnection, and successful connection of wind turbine generation.

show abstract

Section: Introductionmentioning

confidence: 99%