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Mansour Aljohani

Researcher at Yanbu Industrial College

Publications -  14
Citations -  124

Mansour Aljohani is an academic researcher from Yanbu Industrial College. The author has contributed to research in topics: Computer science & Radar. The author has an hindex of 3, co-authored 12 publications receiving 20 citations. Previous affiliations of Mansour Aljohani include University of Dayton.

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Journal ArticleDOI

Near-Optimal PI Controllers of STATCOM for Efficient Hybrid Renewable Power System

TL;DR: In this paper, the static synchronous compensator (STATCOM) is considered for both improving the performance of a hybrid system, which contains WECS and photovoltaics (PVs) against wind gusts and maintaining the continuous operations of RESs during three-phase fault occur at the point of common coupling (PCC) between the RESs and the grid.
Journal ArticleDOI

Application of SMES Technology in Improving the Performance of a DFIG-WECS Connected to a Weak Grid

TL;DR: In this paper, superconducting magnetic energy storage (SMES) technology based on fuzzy logic controller is implemented to effectively resolve this issue and improve the overall performance of wind turbine generator (WTG).
Journal ArticleDOI

Optimal Power Flow Analysis Based on Hybrid Gradient-Based Optimizer with Moth–Flame Optimization Algorithm Considering Optimal Placement and Sizing of FACTS/Wind Power

TL;DR: In this paper , the authors presented the optimal location and size of some FACTS devices in a hybrid power system containing stochastic wind and traditional thermal power plants considering OPF.
Proceedings ArticleDOI

Political Optimization Algorithm for Optimal Coordination of Directional Overcurrent Relays

TL;DR: In this paper, the political optimization (PO) algorithm is applied to coordinate the directional overcurrent relays (DOCRs) to minimize the total uptime utilized in four test systems including eight-bus, nine-bus and fifteen-bus systems.
Proceedings ArticleDOI

Optimal Design of Microgrid Using Chimp Optimization Algorithm

TL;DR: In this article, the authors applied a recent algorithm named Chimp Optimization Algorithm (ChOA) and compared its performance with two algorithms called IWO and GWO in the Dakhla location, where the metrological conditions are suitable.