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.
Highlights
The world is moving towards achieving the sustainable development goals (SDGs) [1].One of the most famous SDGs is SDG 7 which is targeting access to clean energy
The penetration level of sustainable energy in whole grid using the Corona Virus Algorithm (CVO) optimal power flow stretched to more than 20% for 15 h during the winter day compared to 6 h if the Teaching and Learning-Based Optimization (TLBO) is applied
With the CVO optimization, we can achieve decrease in the total power losses of the grid by more than 10% compared to the TLBO method and 20–30% in the representative summer and winter days
Summary
The world is moving towards achieving the sustainable development goals (SDGs) [1]. One of the most famous SDGs is SDG 7 which is targeting access to clean energy. In [6], the researchers presented techniques for secondary voltage control of power grid with 100% renewable energies. In [11], the paper presents techniques to optimally operate a power system with high share of renewables while reducing the running cost of the grid generators. In [17], an optimization process is applied to operate a power system including conventional and renewable generators with minimum cost which was achieved through maximum operation of wind systems. In [4], the authors applied optimal power flow to maximize the renewable power generation in Egypt while minimizing the total power losses. The paper presents the application of the new CVO optimization technique to the Egyptian power system.
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