Zobrazeno 1 - 10
of 582
pro vyhledávání: '"Haitham Abu‐Rub"'
Publikováno v:
IEEE Access, Vol 12, Pp 153457-153470 (2024)
This paper describes a peer-to-peer (P2P) energy trading market framework based on game theory and agent-based modeling (ABM) that enables owners of photovoltaic (PV) systems to sell the electricity they produce to neighbors and the grid. Energy is t
Externí odkaz:
https://doaj.org/article/1d0dafa592d043ec91598c55e1641603
Publikováno v:
IEEE Open Journal of the Industrial Electronics Society, Vol 5, Pp 1286-1299 (2024)
The future power grid is transitioning toward a low inertia power system due to the displacement of synchronous generators (SG)-based generation sources and incorporating inverters-based renewable energy resources. Heterogeneous grid-forming inverter
Externí odkaz:
https://doaj.org/article/86fae4b774574452b5f101b9c60ad300
Publikováno v:
IEEE Open Journal of the Industrial Electronics Society, Vol 5, Pp 795-806 (2024)
Inverse model predictive control (IMPC) is a control technique that was recently proposed for power electronic converters. IMPC inherits the advantages of model predictive control (MPC) in terms of ability to handle complex and nonlinear systems and
Externí odkaz:
https://doaj.org/article/118c4e90b5f341dc9ea76af06117f9fa
Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks
Autor:
Mohamed Massaoudi, Tassneem Zamzam, Maymouna Ez Eddin, Ali Ghrayeb, Haitham Abu-Rub, Shady Khalil
Publikováno v:
IEEE Open Journal of Industry Applications, Vol 5, Pp 267-282 (2024)
The transient power grid stability is greatly affected by the unpredictability of inverter-based resources of today's interconnected power grids. This article introduces an efficient transient stability status prediction method based on deep temporal
Externí odkaz:
https://doaj.org/article/5b7fc04481404772b7d187f26b63ee70
Publikováno v:
IEEE Open Journal of Industry Applications, Vol 5, Pp 253-266 (2024)
Transient stability assessment (TSA) is critical to the reliable operation of a power system against severe fault conditions. In practice, TSA based on deep learning is preferable for its high accuracy but often overlooks challenges in maintaining da
Externí odkaz:
https://doaj.org/article/4a437378974f4973b9df6b3fe7201920
Publikováno v:
IEEE Access, Vol 12, Pp 68485-68496 (2024)
In this paper, a new control technique called inverse model predictive control (IMPC) is proposed for power electronic converters. The proposed IMPC technique is primarily based on the inverse of the conventional finite set model predictive control.
Externí odkaz:
https://doaj.org/article/b50244efb8de4dc6aa6ab6f11f062c6a
Publikováno v:
IEEE Open Journal of Industry Applications, Vol 5, Pp 43-62 (2024)
Lithium-ion battery prognostics and health management (BPHM) systems are vital to the longevity, economy, and environmental friendliness of electric vehicles and energy storage systems. Recent advancements in deep learning (DL) techniques have shown
Externí odkaz:
https://doaj.org/article/615996b0d62c46bda0a94e1a8e499ce7
Publikováno v:
IEEE Open Journal of the Industrial Electronics Society, Vol 4, Pp 720-731 (2023)
This article introduces a set of innovative solutions designed to enhance the scalability of ac–dc side operations in fast electric vehicle (EV) charging stations. The proposed solutions focus on streamlining and regulating the connection process f
Externí odkaz:
https://doaj.org/article/186fbe4f4a5d43159f6181e0b9ed8b09
Publikováno v:
IEEE Open Journal of the Industrial Electronics Society, Vol 4, Pp 709-719 (2023)
This article proposes an adaptive and fault-tolerant communication method for controlling parallel-connected active front-end rectifiers (AFRs). The proposed method relies on the principle of master-slave communication based on the controller area ne
Externí odkaz:
https://doaj.org/article/31d9d61e69be4e3db6c844a40d9a2ab2
Navigating the Landscape of Deep Reinforcement Learning for Power System Stability Control: A Review
Publikováno v:
IEEE Access, Vol 11, Pp 134298-134317 (2023)
The widespread penetration of inverter-based resources has profoundly impacted the electrical stability of power systems (PSs). Deepening grid integration of photovoltaic and wind systems is introducing unforeseen uncertainties for the electricity se
Externí odkaz:
https://doaj.org/article/190b62622b5b457885aef16c7c39c576