Zobrazeno 1 - 10
of 331
pro vyhledávání: '"CHEN, KEJUN"'
Smart inverters are instrumental in the integration of renewable and distributed energy resources (DERs) into the electric grid. Such inverters rely on communication layers for continuous control and monitoring, potentially exposing them to cyber-phy
Externí odkaz:
http://arxiv.org/abs/2411.12130
False data injection attacks (FDIAs) on smart inverters are a growing concern linked to increased renewable energy production. While data-based FDIA detection methods are also actively developed, we show that they remain vulnerable to impactful and s
Externí odkaz:
http://arxiv.org/abs/2411.10367
With the deeper penetration of inverter-based resources in power systems, false data injection attacks (FDIA) are a growing cyber-security concern. They have the potential to disrupt the system's stability like frequency stability, thereby leading to
Externí odkaz:
http://arxiv.org/abs/2409.04609
This paper introduces a novel data-driven constraint screening approach aimed at accelerating the solution of convexified AC optimal power flow (C-OPF) by eliminating non-binding constraints. Our constraint screening process leverages a novel mixture
Externí odkaz:
http://arxiv.org/abs/2312.07276
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 26, Pp 3212-3217 (2024)
Heart failure is a cardiovascular disease that poses a serious health risk to the global population and is characterised by a chronic and prolonged disease course. Effective management centered on home care is essential for controlling symptoms and i
Externí odkaz:
https://doaj.org/article/a736f08d635c4e9c889f9aa07e15deb7
The optimal power flow (OPF) problem is an important mathematical program that aims at obtaining the best operating point of an electric power grid. The optimization problem typically minimizes the total generation cost subject to certain physical co
Externí odkaz:
http://arxiv.org/abs/2305.00400
Autor:
Chen, Kejun, Zhang, Yu
Probabilistic power flow (PPF) analysis is critical to power system operation and planning. PPF aims at obtaining probabilistic descriptions of the state of the system with stochastic power injections (e.g., renewable power generation and load demand
Externí odkaz:
http://arxiv.org/abs/2301.12062
Publikováno v:
IEEE Global Communications Conference (GLOBECOM) 2022
Non-convex AC optimal power flow (AC-OPF) is a fundamental optimization problem in power system analysis. The computational complexity of conventional solvers is typically high and not suitable for large-scale networks in real-time operation. Hence,
Externí odkaz:
http://arxiv.org/abs/2212.03977
Autor:
Chen, Kejun, Zhang, Yu
Publikováno v:
2022 IEEE PES Innovative Smart Grid Technologies Conference
With an increasing high penetration of solar photovoltaic generation in electric power grids, voltage phasors and branch power flows experience more severe fluctuations. In this context, probabilistic power flow (PPF) study aims at characterizing the
Externí odkaz:
http://arxiv.org/abs/2205.00598
Autor:
Qin, Yuyue, Wang, Yurou, Tang, Zhenya, Chen, Kejun, Wang, Zhengxuan, Cheng, Guiguang, Chi, Hai, Soteyome, Thanapop
Publikováno v:
In Food Chemistry: X 30 October 2024 23