Energy Management System for a Stand-Alone Multi-Source Grid Wind/ PV/ BESS/ HESS/ Gas turbine/ Electric vehicle Using Genetic Algorithm

Wassim Chouaf, Ahmed Abbou, Abdessamade Bouaddi

Abstract


One of the most important goals of smart grids is the ability to improve grid situational awareness and enable rapid changes in energy production, because renewable sources are intermittent and depend on non-controllable operating conditions.  An energy management system (EMS) is then needed, particularly when multiple resources are involved, to achieve the best allocation of energy and to optimize the efficiency of systems, energy production and storage components. This work proposes an EMS for distributed generation (DG) in an AC island microgrid. The suggested microgrid (MG) consists of a fuel cell, an electrolyzer, a hydrogen tank, a wind turbine, a gas turbine, a battery energy storage system, a load, and an electric vehicle. The main objective of this study is to optimize system operating costs and improve energy management while maintaining a balance between energy production and consumption and ideal operating conditions. A new energy management strategy based on genetic algorithm (GA) was proposed, another fuzzy logic strategy was also proposed in order to compare the results with those of GA-based management. The specificity of this work consists in taking into account the ageing of the batteries in the optimization process as well as the operating cost of the different elements of the studied microgrid. Simulations are performed to evaluate the effectiveness of the proposed strategy.


Keywords


Battery Energy Storage System (BESS), Genetic algorithm, Hybrid Energy System (HES), Renewable Energy Sources (RES), Hydrogen Energy Storage System (HESS), Distributed Energy Resources (DER), Fuzzy Logic Control (FLC)

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References


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DOI (PDF): https://doi.org/10.20508/ijrer.v13i1.13800.g8661

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