S
Salman Mashayekh
Researcher at Lawrence Berkeley National Laboratory
Publications - 28
Citations - 1349
Salman Mashayekh is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Microgrid & Smart grid. The author has an hindex of 18, co-authored 28 publications receiving 1078 citations. Previous affiliations of Salman Mashayekh include Texas A&M University.
Papers
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Journal ArticleDOI
Value streams in microgrids: A literature review
Michael Stadler,Gonçalo Cardoso,Salman Mashayekh,Thibault Forget,Thibault Forget,Nicholas DeForest,Ankit Agarwal,Ankit Agarwal,Anna Schönbein,Anna Schönbein +9 more
TL;DR: In this paper, the authors present a review of the literature relevant to value streams occurring in micro-grids that may contribute to offset the increased investment costs and improve the economic viability of micro-grid deployment.
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A mixed integer linear programming approach for optimal DER portfolio, sizing, and placement in multi-energy microgrids
TL;DR: In this paper, the authors present an optimization model formulated as a mixed-integer linear program, which determines the optimal technology portfolio, the optimal DER placement, and the associated optimal dispatch, in a microgrid with multiple energy types.
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Towards modelling the impact of cyber attacks on a smart grid
TL;DR: This paper presents an impact analysis framework where both cyber and physical grid entity relationships are modelled as directed graphs and illustrates how cause-effect relationships can be conveniently expressed for both analysis and extension to large-scale smart grid systems.
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A Framework for Modeling Cyber-Physical Switching Attacks in Smart Grid
TL;DR: This paper identifies and demonstrates how through successful cyber intrusion and local knowledge of the grid an opponent can compute and apply a coordinated switching sequence to a circuit breaker to disrupt operation within a short interval of time.
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Security-Constrained Design of Isolated Multi-Energy Microgrids
Salman Mashayekh,Michael Stadler,Gonçalo Cardoso,Miguel Heleno,Sreenath Chalil Madathil,Harsha Nagarajan,Russell Bent,Marc Mueller-Stoffels,Xiaonan Lu,Jianhui Wang +9 more
TL;DR: A novel mixed-integer linear optimization model is presented that determines optimal technology mix, size, placement, and associated dispatch for a multi-energy microgrid and captures the efficiency gains from waste heat recovery through combined heat and power technologies.