Vladimir Terzija
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Recognitions
Vladimir Terzija has a total of 523 co-authors. Here are the top co-authors by number of shared publications:
Peter Wall
The University of Manchester, Manchester, United Kingdom
16 shared publications- Hengxu Zhang
School of Electrical Engineering, Shandong University, Jinan 250061, China
12 shared publications - Marjan Popov
Delft University of Technology, Delft, The Netherlands
12 shared publications - Sadegh Azizi
School of Electronic and Electrical Engineering, University of Leeds, Leeds, U.K.
12 shared publications - Lei Ding
Shandong University
9 shared publications - Ahmad Salehi Dobakhshari
Faculty of Engineering, University of Guilan, Rasht, Iran
8 shared publications
Latest Publications
- 6 November 2026
- Published by Elsevier in Renewable and Sustainable Energy Reviews
- Vol. 245
A comprehensive review of grid-forming converters in modern power systems
- 6 November 2026
- Published by Elsevier in Renewable and Sustainable Energy Reviews
- Vol. 245
A comprehensive review of grid-forming converters in modern power systems
- 1 November 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Smart Grid
- Vol. 17 (6) , 6477-6492
Low Rank Approximation-Based Surrogate Model for Sensitivity Analysis of Dynamic Cyber-Physical Power Systems
- 1 November 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Smart Grid
- Vol. 17 (6) , 6477-6492
Low Rank Approximation-Based Surrogate Model for Sensitivity Analysis of Dynamic Cyber-Physical Power Systems
- 1 November 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Systems
- Vol. 41 (6) , 4749-4759
A Sensitivity-Based Real-Time Under-Frequency Load Shedding Scheme
A new real-time under-frequency load shedding (UFLS) approach is proposed in this paper, aiming to restore frequency stability in response to load-generation imbalance. Under disturbance scenarios, the methodology evaluates the severity of the active power imbalance in real time using a Frequency Performance Index (FREPI). Based on the calculated FREPI, an adaptive load shedding strategy is determined using sensitivity information, enabling the appropriate selection of loads and the amount of active power to shed in order to restore system power balance. This sensitivity approach, based on directional derivatives, enhances frequency recovery by dynamically adapting load shedding to the system's operating conditions using closed-form equations. The effectiveness of the proposed methodology is demonstrated through numerical evaluations on the IEEE 39-bus and IEEE 118-bus systems under generation loss scenarios.
- 1 November 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Systems
- Vol. 41 (6) , 4749-4759
A Sensitivity-Based Real-Time Under-Frequency Load Shedding Scheme
A new real-time under-frequency load shedding (UFLS) approach is proposed in this paper, aiming to restore frequency stability in response to load-generation imbalance. Under disturbance scenarios, the methodology evaluates the severity of the active power imbalance in real time using a Frequency Performance Index (FREPI). Based on the calculated FREPI, an adaptive load shedding strategy is determined using sensitivity information, enabling the appropriate selection of loads and the amount of active power to shed in order to restore system power balance. This sensitivity approach, based on directional derivatives, enhances frequency recovery by dynamically adapting load shedding to the system's operating conditions using closed-form equations. The effectiveness of the proposed methodology is demonstrated through numerical evaluations on the IEEE 39-bus and IEEE 118-bus systems under generation loss scenarios.
- Open Access
- 8 October 2026
- Published by Elsevier in Energy Conversion and Management: X
- Vol. 32
Strategic placement of electric vehicle charging stations under technical, economical, environmental, and societal limitations: a critical review
- 8 October 2026
- Published by Elsevier in Energy Conversion and Management: X
- Vol. 32
Open AccessStrategic placement of electric vehicle charging stations under technical, economical, environmental, and societal limitations: a critical review
- 25 July 2026
- Published by Elsevier in Renewable and Sustainable Energy Reviews
- Vol. 242
Hydrogen in practice: A global review of demonstration projects from production to integration
- 25 July 2026
- Published by Elsevier in Renewable and Sustainable Energy Reviews
- Vol. 242
Hydrogen in practice: A global review of demonstration projects from production to integration
- Open Access
- 25 June 2026
- Published by Elsevier in International Journal of Electrical Power & Energy Systems
- Vol. 179
Towards low-inertia power systems: An overview of monitoring technology, challenges and emerging solutions
- 25 June 2026
- Published by Elsevier in International Journal of Electrical Power & Energy Systems
- Vol. 179
Open AccessTowards low-inertia power systems: An overview of monitoring technology, challenges and emerging solutions
- Open Access
- 24 June 2026
- Published by Elsevier in Engineering
Trends in AI/ML-Enabled Approaches for Situational Awareness, Operation, and Condition Monitoring of Net-Zero Resilient Power and Energy Systems
- 24 June 2026
- Published by Elsevier in Engineering
Open AccessTrends in AI/ML-Enabled Approaches for Situational Awareness, Operation, and Condition Monitoring of Net-Zero Resilient Power and Energy Systems
- 29 May 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Computer
- Vol. 59 (6) , 40-50
Understanding Energy Megatrends: Drivers, Pathways, and Required Technologies
This article looks at the main forces driving today’s megatrends in the energy sector. The challenges arising from renewable integration and electrification, aging infrastructure, reliance on critical minerals, and the rising cyber and privacy risks associated with new technologies are discussed, and a range of emerging technologies is covered.
- 29 May 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Computer
- Vol. 59 (6) , 40-50
Understanding Energy Megatrends: Drivers, Pathways, and Required Technologies
This article looks at the main forces driving today’s megatrends in the energy sector. The challenges arising from renewable integration and electrification, aging infrastructure, reliance on critical minerals, and the rising cyber and privacy risks associated with new technologies are discussed, and a range of emerging technologies is covered.