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133 results on '"Dashti, Rahman"'

18. Composite nonlinear feedback control of a DC-DC boost converter under input voltage and load variation

Author

Vazani, Ali, Mirshekali, Hamid, Mijatovic, Nenad, Ghaffari, Valiollah, Dashti, Rahman, Shaker, Hamid Reza, Mardani, Mohammad Mehdi, Dragičević, Tomislav, Vazani, Ali, Mirshekali, Hamid, Mijatovic, Nenad, Ghaffari, Valiollah, Dashti, Rahman, Shaker, Hamid Reza, Mardani, Mohammad Mehdi, and Dragičević, Tomislav

Abstract

Voltage boost converters are one of the most important components of DC microgrids, since they are used to enhance the voltage of naturally intermittent energy sources such as solar panels in order to feed unknown demands. In this work, a novel tuning algorithm for Composite Nonlinear Feedback (CNF) is studied in depth to improve transient performance and address output voltage regulation for a DC-DC boost converter in the presence of DC input uncertainty. The proposed CNF controller comprises both linear and nonlinear feedback terms. The linear part contributes to the stability and output tracking with a small damping ratio and a quick response. The nonlinear part, i.e., damping term, reduces the overshoot stemming from the linear feedback law and increases the damping ratio of the overall closed-loop system. The nonlinear part is automatically tuned whereby the transient performance of the DC-DC boost converter improves significantly. To assess the performance of the proposed technique, a boost converter is simulated in MATLAB Simulink considering different scenarios such as changing load, DC input, and voltage reference. The numerical results demonstrate that the tuned CNF controller outperforms the linear controller in the DC boost converter. Additionally, several experiments are conducted to validate the efficacy of the suggested technique.

Published
2023

45. Advanced Edge-Cloud Computing Framework for Automated PMU-Based Fault Localization in Distribution Networks.

Author

Sodin, Denis, Rudež, Urban, Mihelin, Marko, Smolnikar, Miha, Čampa, Andrej, Shaker, Hamid Reza, and Dashti, Rahman

Subjects
PHASOR measurement, ELECTRIC power systems, LONG-Term Evolution (Telecommunications), CONTROL rooms, ROAMING (Telecommunication), RELIABILITY in engineering
Abstract

The detection and localization of faults plays a huge role in every electric power system, be it a transmission network (TN) or a distribution network (DN), as it ensures quick power restoration and thus enhances the system's reliability and availability. In this paper, a framework that supports phasor measurement unit (PMU)-based fault detection and localization is presented. Besides making the process of fault detecting, localizing and reporting to the control center fully automated, the aim was to make the framework viable also for DNs, which normally do not have dedicated fiber-optic connectivity at their disposal. The quality of service (QoS) for PMU data transmission, using the widespread long-term evolution (LTE) technology, was evaluated and the conclusions of the evaluation were used in the development of the proposed edge-cloud framework. The main advantages of the proposed framework can be summarized as: (a) fault detection is performed at the edge nodes, thus bypassing communication delay and availability issues, (b) potential packet losses are eliminated by temporally storing data at the edge nodes, (c) since the detection of faults is no longer centralized, but rather takes place locally at the edge, the amount of data transferred to the control center during the steady-state conditions of the network can be significantly reduced. [ABSTRACT FROM AUTHOR]

Published
2021
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