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Hamid Lesani

Researcher at University of Tehran

Publications -  149
Citations -  2665

Hamid Lesani is an academic researcher from University of Tehran. The author has contributed to research in topics: Smart grid & Electric power system. The author has an hindex of 27, co-authored 141 publications receiving 2108 citations. Previous affiliations of Hamid Lesani include University College of Engineering.

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Resilience-Oriented Proactive Management of Microgrids Against Windstorms

TL;DR: A vulnerability index is defined to assess the effectiveness of the proposed proactive management in reducing the MG vulnerability at the event onset and the proposed model is linearized that guarantees simplicity, robustness, and computational efficiency of the solution.
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Metrics and quantitative framework for assessing microgrid resilience against windstorms

TL;DR: A quantitative framework for assessing the MG resilience in response to HILP windstorms is provided and fragility curves of overhead distribution branches and windstorm profile are employed to quantify the degradation in the MG performance.
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A Multi-Objective PMU Placement Method Considering Measurement Redundancy and Observability Value Under Contingencies

TL;DR: In this article, a multi-objective phasor measurement unit (PMU) placement method was proposed for electric transmission grids. And the resultant optimization problem was solved using Cellular Learning Automata (CLA), introducing new CLA local rules to improve the optimization process.
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Integrated distribution network expansion planning incorporating distributed generation considering uncertainties, reliability, and operational conditions

TL;DR: In this article, an integrated methodology is proposed for distribution network expansion planning which considers most of the planning alternatives, including the uncertainties related to renewable DGs, load demand, and energy price have been considered in the calculation of cost components.
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Towards Proactive Scheduling of Microgrids Against Extreme Floods

TL;DR: A proactive scheduling for resilience enhancement of microgrids is proposed, just ahead of the flood arrival, the MG is shifted to a state less impacted and stressed by the upcoming event.