Performance Evaluation of Hybrid System (PV/ Wind/ Battery) Integrated with Smart Grids
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Abstract
A smart grid (SG) is an interconnected system of electrical outlets that monitors and controls the energy flow from various sources to satisfy different consumers’ loads. The smart grid achieves this goal by utilizing digital and other cutting-edge technology. To increase the diversity of energy delivered, SGs can be used with renewable power sources (RES) like solar and wind. Modern technologies in computer, telecommunication, supervisors, networking, and sensor measurement are used by SGs to increase the dependability and effectiveness of the entire system. Whenever businesses are producing, customers may direct the SG to switch on their home equipment at the lowest possible cost of power. Throughout peak periods, consumers can reduce demand by shutting down certain unnecessary electrical devices. This paper provides a model of an energy storage system (ESS) linked to a photovoltaic, a wind turbine, and the SG. To fulfill the load in a range of operating situations, the SG approach is demonstrated, and the electricity flow across the RES, ESS, and network is managed using MATLAB/SIMULINK software. This study proposes an energy management system to supply the energy required to meet the loads under various operating situations, including fluctuating wind velocity and sunlight. Regarding the solar energy system, a pair of separate approaches to maximum power point tracking techniques are suggested. Although the Perturb and Observe method is suggested for wind turbines and photovoltaic systems to generate maximum power output, the Particle Swarm Optimization strategy may generate powerful efficiencies, as explained in this study.
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