Zobrazeno 1 - 10
of 400
pro vyhledávání: '"Singh, Chanan"'
Previous research employing a conceptual approach with a digital twin has demonstrated that (noise-based) dynamic watermarking is incapable of providing unconditional security in smart electrical grid systems. However, the implementation of digital t
Externí odkaz:
http://arxiv.org/abs/2406.15494
Unconditional security for smart grids is defined. Cryptanalyses of the watermarked security of smart grids indicate that watermarking cannot guarantee unconditional security unless the communication within the grid system is unconditionally secure.
Externí odkaz:
http://arxiv.org/abs/2404.16849
Distribution system end users are transforming from passive to active participants, marked by the push towards widespread adoption of edge-level Distributed Energy Resources (DERs). This paper addresses the challenges in distribution system planning
Externí odkaz:
http://arxiv.org/abs/2312.06154
Autor:
Zhu, Yongli, Singh, Chanan
A free industry-grade education tool is developed for bulk-power-system reliability assessment. The software architecture is illustrated using a high-level flowchart. Three main algorithms of this tool, i.e., sequential Monte Carlo simulation, unit p
Externí odkaz:
http://arxiv.org/abs/2301.09579
Blockchain technologies are considered one of the most disruptive innovations of the last decade, enabling secure decentralized trust-building. However, in recent years, with the rapid increase in the energy consumption of blockchain-based computatio
Externí odkaz:
http://arxiv.org/abs/2212.14189
Autor:
Wu, Dongqi, Zheng, Xiangtian, Menati, Ali, Smith, Lane, Xia, Bainan, Xu, Yixing, Singh, Chanan, Xie, Le
The February 2021 Texas winter power outage has led to hundreds of deaths and billions of dollars in economic losses, largely due to the generation failure and record-breaking electric demand. In this paper, we study the scaling-up of demand flexibil
Externí odkaz:
http://arxiv.org/abs/2206.00184
Autor:
Zhu, Yongli, Singh, Chanan
Conventional power system reliability suffers from the long run time of Monte Carlo simulation and the dimension-curse of analytic enumeration methods. This paper proposes a preliminary investigation on end-to-end machine learning for directly predic
Externí odkaz:
http://arxiv.org/abs/2205.14792
An Open-source Model for Simulation and Corrective Measure Assessment of the 2021 Texas Power Outage
Unprecedented winter storms that hit across Texas in February 2021 have caused at least 69 deaths and 4.5 million customer interruptions due to the wide-ranging generation capacity outage and record-breaking electricity demand. While much remains to
Externí odkaz:
http://arxiv.org/abs/2104.04146
This paper presents a sensitivity-based approach for the placement of distributed energy resources (DERs) in power systems. The approach is based on the fact that most planning studies utilize some form of optimization, and solutions to these optimiz
Externí odkaz:
http://arxiv.org/abs/2008.07896