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pro vyhledávání: '"Tomsovic, Kevin"'
In the power system, security assessment (SA) plays a pivotal role in determining the safe operation in a normal situation and some contingencies scenarios. Electrical variables as input variables of the model are mainly considered to indicate the po
Externí odkaz:
http://arxiv.org/abs/2301.12988
Short-term load forecasting is an essential task that supports utilities to schedule generating sufficient power for balancing supply and demand, and can become an attractive target for cyber attacks. It has been shown that the power system state est
Externí odkaz:
http://arxiv.org/abs/2203.03774
False data injection attacks (FDIAs) pose a significant security threat to power system state estimation. To detect such attacks, recent studies have proposed machine learning (ML) techniques, particularly deep neural networks (DNNs). However, most o
Externí odkaz:
http://arxiv.org/abs/2102.09057
Recent research demonstrated that the superficially well-trained machine learning (ML) models are highly vulnerable to adversarial examples. As ML techniques are becoming a popular solution for cyber-physical systems (CPSs) applications in research l
Externí odkaz:
http://arxiv.org/abs/2003.05631
With the recent proliferation of open-source packages for computing, power system differential-algebraic equation (DAE) modeling and simulation are being revisited to reduce the programming efforts. Existing open-source tools require manual efforts t
Externí odkaz:
http://arxiv.org/abs/2002.09455
Akademický článek
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Increasing penetration of renewable energy introduces significant uncertainty into power systems. Traditional simulation-based verification methods may not be applicable due to the unknown-but-bounded feature of the uncertainty sets. Emerging set-the
Externí odkaz:
http://arxiv.org/abs/2001.00080
Publikováno v:
In Nonlinear Analysis: Hybrid Systems August 2023 49
Series FACTS devices are one of the key enablers for very high penetration of renewables due to their capabilities in continuously controlling power flows on transmission lines. This paper proposes a bilevel optimization model to optimally locate var
Externí odkaz:
http://arxiv.org/abs/1805.04815
In this paper, we propose networked microgrids to facilitate the integration of variable renewable generation and improve the economics and resiliency of electricity supply in microgrids. A new concept, probability of successful islanding (PSI) is us
Externí odkaz:
http://arxiv.org/abs/1805.04812