What is it about?
Abstract: Countries around the world are looking forward to fully sustainable energy by the middle of the century to meet Paris climate agreement goals. This paper presents a novel algorithm to optimally operate the Egyptian grid with maximum renewable power generation, minimum voltage deviation and minimum power losses. The optimal operation is performed using Corona Virus Algorithm (CVO). The proposed CVO is compared to the Teaching and Learning-Based Optimization (TLBO) algorithm in terms of voltage deviation, power losses and share of renewable energies. The real demand, solar irradiance and wind speed in typical winter and summer days are considered. The 2020 Egyptian grid model is developed, simulated, and optimized using DIgSILENT software application. The results have proved the effectiveness of the proposed CVO, compared to the TLBO, to operate the grid with the highest share possible of renewables. The paper is a step forward to achieve Egyptian government targets to reach 20% and 42% penetration level of renewable energies by 2022 and 2035, respectively.
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Why is it important?
This paper presents a novel algorithm (Corona Virus Algorithm) to optimally operate a real grid with maximum renewable power generation, minimum voltage deviation and minimum power losses.
Perspectives
I hope this article provides a useful and new Corona Virus Optimization algorithm in energy and other engineering applications.
Professor Omar H. Abdalla
Helwan University
Read the Original
This page is a summary of: Operation of the Egyptian Power Grid with Maximum Penetration Level of Renewable Energies Using Corona Virus Optimization Algorithm, Smart Cities, January 2022, MDPI AG,
DOI: 10.3390/smartcities5010003.
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