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Mehrdad Abedi

Researcher at Amirkabir University of Technology

Publications -  220
Citations -  3504

Mehrdad Abedi is an academic researcher from Amirkabir University of Technology. The author has contributed to research in topics: Electric power system & AC power. The author has an hindex of 26, co-authored 215 publications receiving 2715 citations. Previous affiliations of Mehrdad Abedi include University of Tabriz & University of Tehran.

Papers
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Short term wind speed forecasting for wind turbine applications using linear prediction method

TL;DR: In this paper, a new method, based on linear prediction, is proposed for wind speed forecasting, which utilizes the "linear prediction" method in conjunction with "filtering" of the wind speed waveform.
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Review on Energy Storage Systems Control Methods in Microgrids

TL;DR: Investigation of different researches shows that the control of ESSs has an effective role in different aspects of MGs such as stability, economic, etc.
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Decentralized Cooperative Control Strategy of Microsources for Stabilizing Autonomous VSC-Based Microgrids

TL;DR: In this article, a power sharing controller for a voltage source converter (VSC)-based microgrid with no communication link is proposed, where the steady state value of each micro-source active power is unknown.
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Optimal allocation and sizing of DG units considering voltage stability, losses and load variations

TL;DR: In this paper, a modified form of ICA was used to solve the optimization problem to minimize active power losses and enhance voltage stability margin considering load variations, and the proposed method is applied to 34-bus and 69-bus test systems and the results are compared with the results obtained from cuckoo search algorithm in order to validate the proposed methodology.
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A Framework for Optimal Planning in Large Distribution Networks

TL;DR: In this article, the authors proposed the application of improved genetic algorithm (GA) for the optimal design of large scale distribution systems in order to provide optimal sizing and locating of the high and medium voltage (HV and MV) substations, as well as medium voltage feeders routing, using their corresponding fixed and variable costs associated with operational and optimization constraints.