Zahra Kazemi

Aarhus University | AU · Department of Engineering

At the heart of a digital twin is one or more models of the real-world system that it aims to describe. There are many facets to real-world systems, and many types of model available to describe them, each with different strengths. We provide an introduction to a range of model types. These include physics-based models founded on first principles l...

Digital Twin (DT)-enabled systems depend on communications and networking, and so face a range of threats to their security. This chapter reviews approaches to managing or mitigating these threats. Approaches that are already well established in the software industry, techniques based on formal methods and finally, control theory approaches using f...

We provide an overview of techniques that can be used to calibrate the models that form the basis of digital twins of cyber-physical systems. Calibration (or parameter estimation) involves finding values for the model parameters that optimise the model’s capabilities, particularly the accuracy of its predictions about the future evolution of the mo...

Battery management systems (BMSs) are critical to ensure the efficiency and safety of high-power battery energy storage systems (BESSs) in vehicular and stationary applications. Recently, the proliferation of battery big data and cloud computing advancements has led to the development of a new generation of BMSs, named Cloud BMS (CBMS), aiming to i...

In this article, an efficient method for finite-time secure dynamic state estimation in cyber-physical systems (CPSs) subjected to unknown inputs and cyber-attacks is proposed. The proposed approach is based on a set of local finite-time state estimators operating over the subsets of sensory nodes, which are designed to estimate the states of the C...

In this study, a novel co-estimation approach is proposed for dynamic state estimation of cyber-physical systems (CPSs) subjected to sensor attacks. In the proposed approach, the sensory measurements are preprocessed to extract some valuable information about the launched cyber-attack. This information is then manipulated to form new state equation...

Abstract In this paper, a hybrid approach for effective diagnosis of power transformers is proposed. In the proposed method, the extended Kalman filter is used for the estimation of three‐phase currents in the primary windings of the transformer. Three residual signals are defined as the differences between the measured and estimated three‐phase cu...

Kalman filtering has been widely considered for dynamic state estimation in smart grids. Despite its unique merits, the Kalman Filter (KF)-based dynamic state estimation can be undesirably influenced by cyber adversarial attacks that can potentially be launched against the communication links in the Cyber-Physical System (CPS). To enhance the secur...

Dynamic state estimation plays a critical role in achieving real-time wide-area monitoring of power systems. On the other hand, false data injection (FDI) attacks are substantial threats, which can undesirably ruin the state estimation results. To tackle the foregoing problem, an effective Secure Hybrid Dynamic State Estimation (SHDSE) approach whi...

The increasing urbanization, population, and travel demand lead to a higher density of trains in subway or tramway lines, which weakens the energy feeding DC substations of these city transportation means. Under such circumstances, voltage sags in the upstream AC grid, resistive voltage drops in DC feeders, and constant power load (CPL) nature of s...

Online accurate estimation of supercapacitor State-of-Health (SoH) and State-of-Energy (SoE) is essential to achieve efficient energy management and real-time condition monitoring in Electric Vehicle (EV) applications. In this paper, for the first time, Unscented Kalman Filter (UKF) is used for online parameter and state estimation of the supercapa...

In this paper, an efficient method based on the Kalman Filter (KF) theory is proposed for fast and accurate detection and compensation of CT saturation. During the unsaturated regions, the algorithm uses the current sample points together with Extended Kalman Filter (EKF) for obtaining a model, which suitably represents the current signal behavior....

A large number of advanced multivariate techniques have been yet proposed to improve the performance of process monitoring. These advanced monitoring methods are usually implemented on separate hardware/software, which interconnect with Distributed Control System (DCS) using extra communication links. In this paper, the advanced monitoring algorith...

Supercapacitor is being widely used in electric transportation applications, particularly in Electric Vehicles (EVs). In the EV, the supercapacitor mainly serves as Energy Storage System (ESS) for accelerating the vehicle and/or capturing the braking energy due to its prominent features such as high power density and long life-cycle. However, durin...

Differential protection is the most common type of protection in power transformers. However, inrush current due to transformer energization may appear as fault current to the protective relay, causing a false trip of the transformer. Therefore, discrimination of the transformer inrush current from internal faults is necessary for improving the sec...

Electric Vehicles (EVs) and Plug-In Hybrid Electric Vehicles (PHEVs) are gaining increasing attention owing to some unique features such as being environmentally friendly, depending on Renewable Energy Sources (RESs), having quiet operation, etc. These types of vehicles can be treated as system loads in a concept known as Grid-to-Vehicle (G2V) and/...

(( https://www.deepdyve.com/lp/institute-of-electrical-and-electronics-engineers/an-online-approach-for-fault-detection-and-diagnosis-of-gas-pressure-7yG8kT1vnd )) . . . (( http://ieeexplore.ieee.org/document/7585678/ ))

(( http://www.magiran.com/view.asp?Type=pdf&ID=1452640&l=en )) . . . (( http://citeweb.info/20122936767 ))