Mohammad Hassan Khooban
Aarhus University
255 Papers
490 Citations
Mohammad Hassan Khooban is an academic researcher from Aarhus University. The author has contributed to research in topics: Computer science & Control theory. The author has an hindex of 40, co-authored 193 publications. Previous affiliations of Mohammad Hassan Khooban include Islamic Azad University & Shiraz University of Technology.
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Papers
A new load frequency control strategy for micro-grids with considering electrical vehicles
Mohammad Hassan Khooban,Mohammad Hassan Khooban,Taher Niknam,Frede Blaabjerg,Tomislav Dragicevic +4 more
TL;DR: In this article, a combination of the general type-2 fuzzy logic sets (GT2FLS) and the Modified Harmony Search Algorithm (MHSA) technique, as a novel heuristic algorithm, was proposed to adaptively tune the proportional-integral (PI) controller for load frequency control (LFC) in islanded MicroGrids (MGs).
234
Load Frequency Control in Microgrids Based on a Stochastic Noninteger Controller
TL;DR: An adaptive multiobjective fractional-order fuzzy proportional–integral–derivative controller is proposed for the load frequency control (LFC) of islanded microgrids (MGs), while benefiting from the assets of electric vehicles (EVs) in this respect.
202
Secondary Load Frequency Control of Time-Delay Stand-Alone Microgrids With Electric Vehicles
TL;DR: A new modified optimization algorithm, entitled the Black Hole optimization search algorithm, is applied to tune the coefficients of the model-free technique to make a balance between load demands and power generations in the time-delay stand-alone microgrid system with electric vehicles.
201
Shipboard Microgrids: A Novel Approach to Load Frequency Control
TL;DR: In this paper, a new optimal fractional order fuzzy PD+I load frequency controller (LFC) for islanded microgrids in a ship power system was designed for improving the output performance of the LFC control.
197
A robust adaptive load frequency control for micro-grids
Mohammad Hassan Khooban,Mohammad Hassan Khooban,Taher Niknam,Frede Blaabjerg,Pooya Davari,Tomislav Dragicevic +5 more
TL;DR: A new robust control strategy for an islanded micro-grid (MG) is introduced that can consider electric vehicles׳ (EV(s)) effect and a new combination of the General Type II Fuzzy Logic Sets (GT2FLS) and the Modified Harmony Search Algorithm (MHSA) technique is applied for adaptive tuning of proportional-integral (PI) controller.
179