Browsing by Author "Nabil Mezhoud"

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    Multi-objective Optimal Power Flow and Emission Index Based Firefly Algorithm
    (Periodica Polytechnica Electrical Engineering and Computer Science, 2023-10-21) Nabil Mezhoud
    The economic operation of electric energy generating systems is one of predominant problems in energy systems. In this work one evolutionary optimization method, based on the meta-inference behavior called the Firefly Algorithm (FFA) is applied to solve such as the multipurpose optimum power flow (OPF) and emission index (EI) problems. Our main goal is to improve the objective function necessary to achieve the best balance between production and its energy consumption, which is presented as a non-linear function, taking into account some constraints of equality and inequality. The goal is to reduce the total cost of generations, active losses, and emission index. The FFA approach was examined and tested on a standard IEEE-30 bus system. The validations of obtained results were compared with some well-known and recently published references. The efficiency and credibility of the proposed method has been proven by the obtained results.
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    Wind Driven Optimization based Optimal Energy Management of Microgrid Impregnated with Renewable Energy Sources
    (Algerian Journal of Renewable Energy and Sustainable Development, 2023-12-05) Nabil Mezhoud; Ahmed Bahri; Bilel Ayachi
    The desire for increased dependability, high energy quality, reduced cost, and a clean environment has led to a rise in the use of renewable energy sources (RES) in recent years, such as solar energy and wind energy. In this study, the optimal energy management (OEM) problem of a microgrid (MG) infused with RES is solved through the application of a nature-inspired meta-heuristic approach termed Wind Driven Optimisation (WDO), which is based on atmospheric motion. Our primary purpose is to minimise the nonlinear objective function of an electrical microgrid, which is expressed by minimising the MG operating cost while accounting for various operational limits related to equality and inequality through the best possible OEM control variable adjustment. A variety of DGs, including fuel cells (FC), wind turbines (WT), photovoltaic systems (PV), micro turbines (MT), and loads with energy storage systems (ESS), have been studied and tested using the WDO approach on MG linked. The outcomes show how the suggested strategy may effectively and robustly tackle OEM problems in various operational circumstances, which is encouraging. The suggested method's outcomes were verified and compared to those of reputable references that were recently published.