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Ahmed Alabdulwahab
Researcher at King Abdulaziz University
Publications - 46
Citations - 4413
Ahmed Alabdulwahab is an academic researcher from King Abdulaziz University. The author has contributed to research in topics: Electric power system & Microgrid. The author has an hindex of 25, co-authored 43 publications receiving 3064 citations.
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Networked Microgrids for Enhancing the Power System Resilience
TL;DR: It is concluded that networked microgrids in particular provide a universal solution for improving the resilience against extreme events in Smart Cities.
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Optimal Expansion Planning of Energy Hub With Multiple Energy Infrastructures
TL;DR: Numerical simulations demonstrate the effectiveness of the proposed multiple energy system expansion planning approach based on energy hub.
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Hierarchical Coordination of a Community Microgrid With AC and DC Microgrids
TL;DR: The simulation results verify that the proposed hierarchical coordination strategy is an effective and efficient way for coordinating microgrid flows in an islanded community microgrid, while maintaining the rated frequency and voltage with each microgrid.
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Coordination of Interdependent Natural Gas and Electricity Infrastructures for Firming the Variability of Wind Energy in Stochastic Day-Ahead Scheduling
TL;DR: In this paper, the coordination of constrained electricity and natural gas infrastructures is considered for firming the variability of wind energy in electric power systems, where the stochastic security-constrained unit commitment is applied for minimizing the expected operation cost in the day-ahead scheduling of power grid.
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Hourly Electricity Demand Response in the Stochastic Day-Ahead Scheduling of Coordinated Electricity and Natural Gas Networks
TL;DR: In this article, the role of hourly economic demand response in the optimization of the stochastic day-ahead scheduling of electric power systems with natural gas transmission constraints was studied, and the authors demonstrated that electricity demand response would offer a less volatile hourly load profile and locational marginal prices, and less dependence on natural gas constraints for the optimal operation of power systems.