Research
Publications, research projects, and other academic contributions.Publications
Extended Residue Method with Adaptive Delay Compensation for Robust Multi-Mode DampingLazar Šćekić, Zoran Miljanić, Vladan RadulovićEnergy Reports The residue method represents one of the oldest methods for designing Wide-Area Damping Control (WADC) systems. Compared to modern approaches, such as H-infinity control, metaheuristic optimization, and machine learning, the residue method has the advantage of being intuitive and straightforward to implement while having a strong analytical foundation. This paper addresses several unanswered questions regarding the application of the residue method for WADC design. First, it demonstrates that the variability of the residue phase angle, as a strong predictor of controller robustness, must be considered during the control loop selection stage. Second, it extends the control loop selection process to enable the damping of multiple inter-area modes with a single residue-based damping controller. Third, it proposes the use of an adaptive delay compensator with a residue-based damping controller to achieve consistent performance under different time delays. Fourth, it presents a detailed robustness assessment of the residue-based WADC systems under various operating conditions. Numerical experiments performed on the Kundur’s two-area and the 16-machine, 68-bus test systems demonstrate that the designed WADC systems provide sufficient damping to the critical inter-area modes in more than 90% of the considered operating scenarios, regardless of time delay levels.Human-Centric Digitization in Montenegro: Progress through 17 Years of National Independence and Future TrendsPeter A. Kara, Ivana Ognjanović, Dirk Hölscher, Lazar Šćekić, Pavle Kovačević, John Mantas, Ramo Šendelj, Luka Laković, Ana Maksimović, Nada Rakočević, Milovan Roganović, Christoph Reich, Aniko Simon, Laszlo BokorElectronics Montenegro restored its national independence in 2006, and in the 17 years since then, the country has made significant progress in digital transformation, which is especially important for its accession to the European Union. In this paper, this period of 17 years of Montenegrin digital transformation is reviewed. The work aims to provide comprehensive coverage of the digitization processes across all relevant sectors, including healthcare, education, telecommunications and internet, personal and public transportation, tourism, agriculture, energy and sustainability, and public administration. The human-centric nature of digitization is emphasized where relevant, as well as related future trends. This paper also highlights barriers and limitations, such as the lack of consideration for cooperative intelligent transportation systems in national strategies, and user-related issues in digital public administration.Detection and Mitigation of GPS Spoofing Attacks on Phasor Measurement Units using Deep LearningFayha Almutairy, Lazar Šćekić, Mustafa Matar, Ramadan Elmoudi, Safwan WshahInternational Journal of Electrical Power & Energy Systems The widespread use of Phasor Measurement Units (PMUs) is considered one of the most important contributions to the quality of power system monitoring. PMUs are digital devices that provide synchronized phasor measurements time-referenced by the Global Positioning System (GPS). The lack of encryption in conventional GPS receivers used in PMUs makes them vulnerable to GPS Spoofing Attacks (GSAs) that cause the GPS receiver to lose track, resulting in a phase shift of all measurements of the affected PMU. Even small phase shifts can downgrade the performance of the state estimator, indicating their ability to propagate throughout the entire system. Therefore, ensuring the integrity of PMU measurements is of utmost importance. State-of-the-art statistical methods are insensitive to small phase shifts, and they become computationally intensive as the system size and the number of simultaneous attacks increase. This paper presents the first application of deep learning to simultaneously detect and mitigate the effects of GSAs against PMUs. The performance of the proposed method is evaluated on IEEE 14-, 57-, and 118-bus systems and compared to state-of-the-art statistical and deep learning methods.Long-Term Harmonic Analysis of Grid-Connected Photovoltaic SystemsLazar Šćekić, Saša Mujović20th International Conference on Harmonics & Quality of Power (ICHQP) Due to the increasing government support and decreasing installation prices, the rapid proliferation of grid-connected photovoltaic systems has been recorded in the past decade. Their integration is accompanied by harmonic pollution of the distribution systems, resulting from the application of power electronic converters. Therefore, extensive studies need to be performed before their commission to minimize their harmonic impact. This paper presents a thorough harmonic analysis of grid-connected photovoltaic systems in a historical meteorological framework. Temporal patterns of the harmonic emissions and the resulting distorting effects have been identified. In addition, numerical expressions quantifying the temporal variations of individual current harmonics have been developed, which enables their straightforward addition to various power system studies.Accurate Detection of False Data Injection Attacks in Renewable Power Systems using Deep LearningFayha Almutairy, Lazar Šćekić, Ramadan Elmoudi, Safwan WshahIEEE Access The rapid development of technology in the past decades created a society heavily dependent on electricity, where even short disturbances in the power supply can result in grave socio-economic consequences. Therefore, assuring a safe and reliable operation of the power system has become of utmost importance. False data injection attacks (FDIAs) represent a class of cyber-attacks targeting the power system state estimation. FDIAs alter the perspective of the power system’s state which can lead to inappropriate control actions. Thus, a reliable method for detecting FDIAs represents the main prerequisite to the safe operation of the power system in the context of cybersecurity. Noticing the scarce literature analyzing the detection of FDIAs in power systems with a high share of renewable energy sources, this paper demonstrates that the performance of the existing methods deteriorates when faced with the volatile nature of renewable energy sources. This paper presents a deep learning approach for detecting stealthy FDIAs concerning the power systems with high penetration of renewable energy sources. The performance of the proposed method is validated through different scenarios based on the modified versions of the IEEE 14-bus system and the IEEE 118-bus system. The proposed method is able to detect most of the attacks under different test scenarios, outperforming the benchmark techniques with an average detection rate of 99% for the IEEE 14-bus system and 97% for the IEEE 118-bus system.Siting and Sizing of Renewable Energy Sources: A Case Study on MontenegroLazar Šćekić, Mićo Kontić, Neda Srdanović21st International Symposium on Power Electronics (Ee) Due to a variety of negative effects associated with renewable energy sources, extensive studies need to be carried out before their integration into the power system, determining the optimal location, size, and type of generation capacities. This paper presents a techno-economic analysis of the available potential of renewable energy sources, focusing on the transmission system of Montenegro. The maps of the statistical climate indicators of wind and solar energy have been processed concerning the technical, economical, and environmental criteria to perform an accurate estimation of the available potential. After performing the zonal division of the maps of available renewable potential, by employing a multiobjective optimization approach, optimal plant size has been determined for each zone. The obtained results can be used as a starting point for further planning studies.Pumped Hydroelectric Energy Storage as a Facilitator of Renewable Energy in Liberalized Electricity MarketLazar Šćekić, Saša Mujović, Vladan RadulovićEnergies Besides many benefits deriving from the energy transition process, it is not uncommon for modern power systems to be faced with difficulties in their operation. The issues are dominantly related to the non-dispatchable nature of renewable energy sources (RES) and the mismatching between electricity generation and load demand. As a consequence of a constant peak load growth, this problem is particularly pronounced during the daily peak hours. Therefore, it is of great importance to conduct all necessary activities within the system in order to preserve the system stability and continuity of operation. Energy storage systems have been recognized as a major facilitator of renewable energy, by providing additional operational flexibility. Since pumped hydroelectric energy storage (PHES) accounts for almost 97% of the world’s storage capacity, in this paper, we have investigated the benefits of using pumped-storage hydropower in modern power systems characterized by high penetration of RES and the liberalized electricity market. A novel operation algorithm has been developed which finds the balance between providing additional flexibility by alleviating the peak load and obtaining financial revenue to justify the high investment costs associated with PHES. The algorithm has been tested for the daily and monthly operation of the Tonstad PHES in the dynamic environment of the Norwegian power system.Research Projects
HYNET - Pan-European Interoperable AC-DC Hybrid Electricity Networks
Funded by: Horizon EuropeThe renewed interest in direct current (DC) power transmission and distribution (T&D) systems is driven by the increasing use of power electronic-based loads and distributed energy resources (DERs) operating in DC. In response to events in Ukraine, the European Commission introduced the REPowerEU Plan, aiming to reduce Europe’s dependence on Russian energy imports. The EU-funded HYNET project aims to develop innovative technologies for the transnational design and planning of AC/DC hybrid power systems. It aims to establish standardised methodologies for multi-terminal, multi-vendor MVDC and LVDC systems and to design, implement, and demonstrate innovative solutions for adopting and deploying DC power systems across all voltage levels. The project will showcase HYNET innovations in four European countries.TRINITY - Transmission System Enhancement of Regional Borders by Means of Intelligent Market Technology
Funded by: Horizon 2020When a power plant fails or during extreme weather conditions, EU Member States need to be able to rely on their neighbours for importation of electricity. Without infrastructure, this is impossible. Connecting Europe's electricity systems will allow the EU to boost its security of electricity supply and integrate more renewables into energy markets. While western and northern regions of Europe have been working for several years towards improving cross-border electricity interconnections, south-eastern Europe is lagging behind. The EU-funded TRINITY project aims to reverse this trend. It will develop solutions to enhance cooperation among the transmission system operators in the south-eastern European region, while promoting higher penetration of clean energies.CROSSBOW - Cross Border Management of Variable Renewable Energies and Storage Units
Funded by: Horizon 2020CROSSBOW will propose the shared use of resources to foster cross-border management of variable renewable energies and storage units, enabling a higher penetration of clean energies whilst reducing network operational costs and improving economic benefits of RES and storage units. The objective is to demonstrate a number of different, though complementary, technologies, offering Transmission System Operators higher flexibility and robustness through: 1) A better control of exchange power at interconnection points; 2) new storage solutions, distributed and centralized, offering ancillary services to operate Virtual Storage Plants (VSP); 3) better ICT and Communications - e.g. better network observability, enabling flexible generation and Demand Response schemas; 4) the definition of a transnational wholesale market, proposing fair and sustainable remuneration for clean energies though the definition of new business models supporting the participation of new players - i.e. aggregators - and the reduction of costs. The CROSSBOW results will be evaluated by 8 TSOs in Easter Europe, grouped to form clusters that will validate each of the projects outcomes in at least three different countries, demonstrating in all cases how CROSSBOW tackles the transnational challenges faced by these TSOs.📧 Research CollaborationInterested in collaborating on power systems research? Feel free to reach out for potential joint projects, publications, or academic exchanges.Email: slazar@ucg.ac.me