Publications by Asja Derviskadic

Functional Basis Analysis for the Characterization of Power System Signal Dynamics: Formulation, Implementation and Validation

Mario Paolone, Asja Derviskadic, Alexandra Cameron Karpilow

With the integration of distributed energy resources and the trend towards low-inertia power grids, the frequency and severity of grid dynamics is expected to increase. Conventional phasor-based signal processing methods are proving to be insufficient in t ...

Institute of Electrical and Electronics Engineers (IEEE)2025

Characterization of Non-Stationary Signals in Electric Grids: a Functional Dictionary Approach

Mario Paolone, Asja Derviskadic, Guglielmo Frigo, Alexandra Cameron Karpilow

IEEE2023

Step Change Detection for Improved ROCOF Evaluation of Power System Waveforms

Mario Paolone, Asja Derviskadic, Guglielmo Frigo, Alexandra Cameron Karpilow

In the analysis of power grid waveforms, the presence of amplitude or phase steps can disrupt the estimation of frequency and rate-of-change-of-frequency (ROCOF). Standard methods based on phasor-models fail in the extraction of signal parameters during th ...

IEEE2022

Step detection in power system waveforms for improved RoCoF and frequency estimation

Mario Paolone, Asja Derviskadic, Guglielmo Frigo, Alexandra Cameron Karpilow

The evaluation of the signal frequency and Rate of Change of Frequency (RoCoF) from voltage or current waveforms is used for critical grid control, monitoring and protection applications. However, when step changes in the amplitude or phase of the signal o ...

Elsevier2022

OPF-driven Under Frequency Load Shedding in Low-Inertia Power Grids Hosting Large-scale Battery Energy Storage Systems

Mario Paolone, Asja Derviskadic, Yihui Zuo

The paper describes the formulation and application of an Optimal Power Flow (OPF)-driven Under Frequency Load Shedding (UFLS) scheme in low-inertia power grids hosting large-scale battery energy storage systems. Thanks to the accurate prediction of the sy ...

IEEE2021

Characterization of Non-Stationary Signals in Electric Grids: a Functional Dictionary Approach

Mario Paolone, Asja Derviskadic, Guglielmo Frigo, Alexandra Cameron Karpilow

With the expanding role of converter-interfaced distributed energy resources, modern power grids are evolving towards low-inertia networks that are increasingly vulnerable to extreme dynamics. Consequently, advanced signal processing techniques are needed ...

IEEE Institute of Electrical and Electronics Engineers2021

Characterization of Real-World Power System Signals in Non-Stationary Conditions using a Dictionary Approach

Mario Paolone, Asja Derviskadic, Guglielmo Frigo, Alexandra Cameron Karpilow

As power grids transition towards low-inertia net-works based on converter-interfaced renewable energy resources, they become increasingly vulnerable to extreme dynamics. Currently, the most advanced methods for signal processing in power systems are embed ...

IEEE2021

Design and experimental validation of an FPGA-based PMU simultaneously compliant with P and M performance classes

Mario Paolone, Asja Derviskadic

Low-inertia grids are characterized by high shares of harmonic and inter-harmonic distortion, produced by the inverters that interface non-conventional generation assets to the electrical grid. These interfering tones largely compromise synchrophasor estim ...

Elsevier2020

PMU-based linear state estimation of Lausanne subtransmission network: Experimental validation

Sidi-Rachid Cherkaoui, Mario Paolone, Paolo Romano, Marco Pignati, Lorenzo Zanni, Asja Derviskadic, Ali Abur

The paper presents the implementation details and the experimental validation of a linear state estimator based on synchrophasor measurements in a real subtransmission network. The data are provided by 15 phasor measurement units (PMUs) installed in the 12 ...

Elsevier2020

OPF-based under frequency load shedding predicting the dynamic frequency trajectory

Mario Paolone, Quentin Walger, Asja Derviskadic, Guglielmo Frigo, Yihui Zuo

The paper describes a centralized Under Frequency Load Shedding (UFLS) method, where load shedding decisions are based on the solution of an optimization problem. The proposed approach anticipates the evolution of the grid frequency trajectory by means of ...

Elsevier2020

Impact of Fundamental Frequency Definition in IpDFT-based PMU Estimates in Fault Conditions

Mario Paolone, Asja Derviskadic, Guglielmo Frigo

In modern power systems, frequency measurements are employed in many monitoring and control applications. In this context, Phasor Measurement Units (PMUs) may represent a promising solution in view of a distributed and synchronized measurement infrastructu ...

IEEE2019

Statistical Model of Measurement Noise in Real-World PMU-based Acquisitions

Mario Paolone, Asja Derviskadic, Guglielmo Frigo, Alexandre Bach

In this paper, we present a processing technique to determine the statistical distribution of additive measurement noise in real-world acquisitions, with specific reference to Phasor Measurement Unit (PMU) applications in Active Distribution Networks (ADNs ...

IEEE2019

Harmonic Phasor Measurements in Real-World PMU-Based Acquisitions

Mario Paolone, Asja Derviskadic, Guglielmo Frigo

Modern distribution networks prove to be easily prone to power quality issues, and in particular to the presence of harmonic. components in the voltage and current signals, due to the increasing presence of nonlinear loads, distributed generation, and rene ...

IEEE2019

Synchronized Sensing for Wide-Area Situational Awareness of Electrical Grids in Non-Stationary Operating Conditions

Asja Derviskadic

Situational-awareness methods and technologies are crucial elements to ensure power systems reliability and security as they are used by automated decision-making processes of mission-critical applications. Inadequate system monitoring results in incorrect ...

EPFL2019

Real-Scenario Testing of an Active Phasor Data Concentrator

Mario Paolone, Asja Derviskadic, Guglielmo Frigo

The privileged position of the Phasor Data Concentrator (PDC) in a synchrophasor-based monitoring system can be exploited to make this device the core of a distributed measurement architecture suitable for control and protection applications in power syste ...

IEEE2019

Impact of Synchrophasor Estimation Algorithms in ROCOF-based Under-Frequency Load-Shedding

Mario Paolone, Asja Derviskadic, Guglielmo Frigo, Yihui Zuo

This paper investigates the impact of synchrophasor estimation algorithms in Under-Frequency Load-Shedding (UFLS) and Load-Restoration (LR) schemes, relying on frequency and Rate-of-Change-of-Frequency (ROCOF) measurements produced by Phasor Measurement Un ...

IEEE Institute of Electrical and Electronics Engineers2019

PMU-Based ROCOF Measurements: Uncertainty Limits and Metrological Significance in Power System Applications

Mario Paolone, Asja Derviskadic, Guglielmo Frigo, Yihui Zuo

In modern power systems, the Rate-of-Change-of-Frequency (ROCOF) may be largely employed in Wide Area Monitoring, Protection and Control (WAMPAC) applications. However, a standard approach towards ROCOF measurements is still missing. In this paper, we inve ...

2019

Taylor-Fourier PMU on a Real-Time Simulator: Design, Implementation and Characterization

Mario Paolone, Asja Derviskadic, Guglielmo Frigo, Yihui Zuo, Alexandre Bach

The development of software models of Phasor Measurement Units (PMUs) within Real-Time Simulators (RTSs) represents a promising tool for the design and validation of monitoring and control applications in electrical power networks. In this sense, it is nec ...

IEEE2019

Characterization of Uncertainty Contributions in a High-Accuracy PMU Validation System

Mario Paolone, Daniele Colangelo, Asja Derviskadic, Jean-Pierre Braun, Guglielmo Frigo

The eective deployment of Phasor Measurement Units (PMUs) in Distribution Networks (DNs) requires an enhancement in terms of estimation accuracy beyond the limits of IEEE Std C37.118.1 (IEEE Std), aiming at a Total Vector Error (TVE) in the order of 0.0x% ...

2019

Beyond Phasors: Modeling of Power System Signals Using the Hilbert Transform

Mario Paolone, Asja Derviskadic, Guglielmo Frigo

Modern power systems are at risk of largely reducing the inertia of generation assets and prone to experience extreme dynamics. The consequence is that, during electromechanical transients triggered by large contingencies, transmission of electrical power ...

IEEE Institute of Electrical and Electronics Engineers2019