Denial of service attacks and communication latency pose challenges for the operation control systems within power systems. Specifically, excessive delay between sensors controllers can substantially worsen performance distributed schemes. In this paper, we propose a framework delay-resilient cyber-physical smart grid transient stability applications. The proposed scheme adapts its structure depending on value latency. As an example, consider parametric feedback linearization (PFL) paradigm...

We propose a framework for the analysis of cyber switching attacks and control-based mitigation in cyber-enabled power systems. Our model attack is simple, only requiring knowledge sign local relative rotor speed, which may be estimated. The controller modeled to resource constrained, choosing act during select intervals time. make use an iterated game-theoretic formulation describe interactions parties its effect on system stability. Analytic results indicate potential constrained achieve...

The digital transformation brought by 5G is redefining current models of end-to-end connectivity and service reliability to include security-by-design principles necessary enable achieve its promise. trustworthiness highlights the importance embedding security capabilities from very beginning while architecture being defined standardized. Security requirements need overlay permeate through different layers systems (physical, network, application) as well parts an E2E5G within a risk...

In this paper, we consider a distributed energy storage system (ESS)-based control paradigm for transient stability of power systems. Utilizing multi-agent framework, propose an effective virtual inertia measure cyber-physical agents that includes both traditional synchronous generators and actuated ESSs. We derive the analytically case general ESS-based control. further parametric feedback linearization (PFL) as application investigate proposed measures after applying PFL The utility is...

A parametric controller is proposed for transient stability of synchronous generators after the occurrence a disturbance in power grid. The based on feedback linearization control theory relies receiving timely phasor measurement unit (PMU) information from selected parts grid to employ fast acting flywheels that are situated near generators. local storage devices aim balance swing equation model generator drive associated rotor speed stability. advantages include it tunable and integrates...

Security of smart power systems is a sound concern as more cyber elements are added to the grid. In this paper, we focus on attacks that target data integrity in grid systems. We specifically investigate impact false injection (FDI) distributed transient stability control schemes. As an example, parametric feedback linearization (PFL) controller, and derive closed-form expressions for errors rotors' speed angle result integrity. Furthermore, adaptive strategies eliminate or minimize FDI...

In this paper, we study a distributed control strategy that harnesses the highly granular data available in future power systems order to improve system resilience disturbances. Specifically, investigate role of external energy storage (ESSs) stabilizing dynamics during periods disruption. We consider an information-rich multiagent framework and focus on ESS output via linear feedback optimal (LFO) achieve transient stability. The LFO scheme relies receiving timely state information actuate...

In this paper, we propose an adaptive cyber-enabled parametric feedback linearization (PFL) control scheme for transient stability of smart grids. Based on theory, the distributed PFL controller utilizes a energy storage system to modify dynamics power during transients. We consider cyber attacks data integrity and availability in grid, adapt controller's parameter state grid. Specifically, adapts its aggressiveness level noise, communication latency, injection attacks. Further, depending...

Intentional electromagnetic interference attacks (e.g., jamming) against wireless connected devices such as the Internet of Things (IoT) remain a serious challenge, especially evolve in complexity. Similarly, eavesdropping on communication channels persists an inherent vulnerability that is often exploited by adversaries. This article investigates novel approach to enhancing information security for IoT systems via collaborative strategies can effectively mitigate targeting availability and...

The development of Generative AI Large Language Models (LLMs) raised the alarm regarding identifying content produced through generative or humans. In one case, issues arise when students heavily rely on such tools in a manner that can affect their writing coding skills. Other plagiarism also apply. This study aims to support efforts detect and identify textual generated using LLM tools. We hypothesize LLMs-generated text is detectable by machine learning (ML), investigate ML models...

This study seeks to enhance academic integrity by providing tools detect AI-generated content in student work using advanced technologies. The findings promote transparency and accountability, helping educators maintain ethical standards supporting the responsible integration of AI education. A key contribution this is generation CyberHumanAI dataset, which has 1000 observations, 500 are written humans other produced ChatGPT. We evaluate various machine learning (ML) deep (DL) algorithms on...

A parametric game-theoretic controller is proposed to stabilize power systems during and after cyber switching attacks. The attacks are based on calculated switchings of external sources in order destabilize the system. relies receiving timely information from component smart grid control output fast-acting balance swing equation In this regard, analysis applied devise reactive strategies for drive frequency system's generators stability. gives system operators flexibility meet constraints...

This work presents a new class of cyber-physical switching attacks that targets power transmission systems. The proposed approach relies on exciting inter-area oscillation modes in coordinated manner to drive groups system generators out step. Our paradigm oscillations by relatively small part (in the order 2%) load at (low) frequency resonates with one observed system. targeted mode is chosen through measurement-based analysis deviation select bus observable adversary. attack implemented as...

A cyber-enabled parametric control scheme is proposed for efficient transient frequency and phase stabilization in the power grid. Different implementations of are investigated this work. First, a centralized where controller relies on timely phasor measurement unit (PMU) information about grid to employ fast-acting energy storage systems stabilization. Further, decentralized implementation assumes rest not available, hence acts based local PMU measurements. For case cyber attacks targeting...

A parametric controller is proposed for the frequency and phase stabilization after occurrence of a disturbance in power grid. The based on feedback linearization control theory. To drive system generators to stability, relies receiving timely phasor measurement unit (PMU) readings about grid employ fast-acting flywheels that are situated near synchronous order balance swing equation model generators. advantages it tunable integrates well with existing governor controls contrast other forms...

Communication latency poses a challenge to the operation of control systems in power systems. Specifically, excessive delay between sensors and controllers can substantially worsen performance distributed schemes. In this paper we utilize parametric feedback linearization (PFL) actuate energy storage order achieve transient stability. A delay-adaptive design capitalizing on features PFL is presented work enhance time tolerance system. piece-wise linear property investigated. The parameters...

A novel framework for the distributed control is proposed in this paper transient stability of smart power transmission systems face disturbances. The seamlessly integrates traditional governor-based with energy storage system (ESS)-based controls. design objectives also address practical challenges unaccounted former work, including limited ESS capacity and availability, absent, delayed, or corrupt sensor measurements. IEEE 68-bus test used to demonstrate merits strategy enhancing systems....

This article focuses on characterizing the impact of communication distributed control performance in smart grid systems. Using a cyber-physical model and utilizing electromechanical wave propagation transmission systems, holistic approach is proposed to unify coupling representation. facilitated by establishing an event-propagation paradigm relating measurements, physical power systems network characteristics. We investigate how system characteristics impose limitations using approach. The...

Advances in renewable energy technologies and power electronics addition to environmental economic factors have motivated a paradigm shift the design of future delivery systems. This article empathizes need incorporate resilience elements within distribution systems enable autonomous adaptive operation through different cyber physical disruptions. A cooperative game-theoretic approach is proposed interconnected microgrids (MGs) coordinate their aggregate requirements for an improved...

Switching attacks in smart grid systems have gained some recent attention by the research community. Based on understanding structure of physical system and accessing variables, effective sliding-mode switching can be used to disrupt normal operation power grid. This article investigates practical limitations such attacks. Sliding-mode a single-machine infinite-bus are considered this work, impact is investigated. These include sampling period, quantization level, signal-to-noise ratio,...

In the evolution of 6G and Future Networks, a dynamic, flexible, learning-based security architecture will be essential with ability to handle both current evolving cybersecurity threats. This is specially critical future networks' increased reliance on distributed approaches for operation. To address this challenge, learning framework must provide trust in an integrated fashion. contrast existing approach such as federated (FL), that update parameters shared model, work proposes capable...