J
Jovica V. Milanovic
Researcher at University of Manchester
Publications - 440
Citations - 10216
Jovica V. Milanovic is an academic researcher from University of Manchester. The author has contributed to research in topics: Electric power system & Voltage sag. The author has an hindex of 48, co-authored 422 publications receiving 8215 citations. Previous affiliations of Jovica V. Milanovic include Endesa & Newcastle University.
Papers
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Journal ArticleDOI
The Influence of Induction Motors on Voltage Sag Propagation—Part II: Accounting for the Change in Sag Performance at LV Buses
TL;DR: In this paper, the influence of induction motors (IMs) on voltage sag characteristics at lowvoltage (LV) buses is described. And the equivalent rectangular sags developed in this study take into account the effect of IMs and establish voltage sag performance more accurately at LV buses in the distribution network.
Proceedings ArticleDOI
Interdepedency modeling of cyber-physical systems using a weighted complex network approach
Wentao Zhu,Jovica V. Milanovic +1 more
TL;DR: In this article, a three-dimensional weighted complex network theory (CNT) model is introduced to study the dependency and interdependency of cyber-physical systems (CPS) and to identify the most critical and vulnerable components within the coupled network.
Journal ArticleDOI
Qualitative and quantitative analysis of voltage sags in networks with significant penetration of embedded generation
TL;DR: In this paper, the influence of embedded generation on voltage sag characteristics and propagation in distribution networks has been investigated and two different, realistic, network topologies are used in the analysis.
Proceedings ArticleDOI
Development of a dynamic power system load model
TL;DR: In this article, the authors address the issue of measurement-based power system load model development and propose a first order generic dynamic, load model based on the test results, which is in a transfer function form and it is suitable for direct inclusion in the existing power system stability software.
Journal ArticleDOI
Inherent dynamic properties of interconnected power systems
TL;DR: In this article, the analytical formulae for calculation of the damping and frequency of the electromechanical modes in large interconnected power systems were presented, and the results were verified through numerical simulations.