M
Mohammad Salay Naderi
Researcher at Islamic Azad University
Publications - 63
Citations - 1060
Mohammad Salay Naderi is an academic researcher from Islamic Azad University. The author has contributed to research in topics: Transformer & Distribution transformer. The author has an hindex of 16, co-authored 62 publications receiving 867 citations. Previous affiliations of Mohammad Salay Naderi include University of New South Wales & Sharif University of Technology.
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Advanced transformer winding deformation diagnosis: moving from off-line to on-line
TL;DR: In this article, the authors have concentrated on issues arising while on-line transformer winding deformation diagnosis is going to be applied on transformers with various kinds of techniques, such as frequency response analysis (FRA), short circuit impedance measurement and transfer function measurement.
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Frequency response analysis and short-circuit impedance measurement in detection of winding deformation within power transformers
TL;DR: In this paper, power transformers are considered to be the heart of the transmission and distribution sectors of electric power systems; monitoring their condition and diagnosing faults are important parts of the maintenance function.
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Enhancing Power Quality in Microgrids With a New Online Control Strategy for DSTATCOM Using Reinforcement Learning Algorithm
TL;DR: To mitigate the power quality issue in microgrids, a new online reference control strategy for distribution static compensator using the reinforcement learning algorithm is presented and the performance of the proposed online secondary control strategy is discussed.
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A hybrid transformer model for determination of partial discharge location in transformer winding
TL;DR: In this paper, a hybrid transformer model is introduced to simulate the transformer winding transient response to partial discharges in power transformers, where the transformer structural data is used to determine the hybrid model parameters.
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Adaptive Beacon Broadcast in Opportunistic Routing for VANETs
TL;DR: An adaptive update strategy for sending beacon messages according to the VANETs’ characteristics and the nature of broadcast wireless channel in an opportunistic routing strategy is studied and shows that the proposed strategy significantly reduces the cost of routing and improves network performance in terms of packet-delivery ratios, average end-to-end delay, and routing overhead.