A growth in interest in the production of electric power from Renewable Energy Sources (RES) can be attributed to the resources of greenhouse emissions from centralised power plants. Even still, there are significant inconsistencies in their findings due to global warming, which is a major issue. This issue is resolved by developing a hybrid source that combines several different types of energy. Utilising an energy management system (EMS) will help meet demand, increase system efficacy and ensure hybrid systems driven by RES which are working to their full potential. This article provides a description of the Improved Tuna Swarm Optimization-based Modified Perturb and Observe (ITSO-MP&O) for Sustainable Energy Sources (Solar, Wind and Battery). This work uses MATLAB/Simulink to create a simulation-based integrated system model. It is based on fundamental conceptual flaws. According to the overall simulation results, the recommended ITSO-MP&O accomplishes a total harmonic distortion of 0.82%.

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Energy Management System for Sustainable Energy Sources Using Hybrid Approaches

  • Mahesh Palavalasa,
  • Shamik Chatterjee,
  • R. S. R. Krishnam Naidu

摘要

A growth in interest in the production of electric power from Renewable Energy Sources (RES) can be attributed to the resources of greenhouse emissions from centralised power plants. Even still, there are significant inconsistencies in their findings due to global warming, which is a major issue. This issue is resolved by developing a hybrid source that combines several different types of energy. Utilising an energy management system (EMS) will help meet demand, increase system efficacy and ensure hybrid systems driven by RES which are working to their full potential. This article provides a description of the Improved Tuna Swarm Optimization-based Modified Perturb and Observe (ITSO-MP&O) for Sustainable Energy Sources (Solar, Wind and Battery). This work uses MATLAB/Simulink to create a simulation-based integrated system model. It is based on fundamental conceptual flaws. According to the overall simulation results, the recommended ITSO-MP&O accomplishes a total harmonic distortion of 0.82%.