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A sizing method is designed for a hybrid power distribution technique with the help of photovoltaic (PV) cell mathematical models and wind turbine mathematical models. This sizing methodology simulates the annual function of various photovoltaic-wind hybrid power system structures to achieve optimal power distribution. Even though the results of using a hybrid power source under unbalanced and nonlinear load situations show greater quality load voltage, optimal power distribution remains a primary issue that requires resolution. This research proposes the use of Optimal Fuzzy Logic (HPG-OFL) in Hybrid Power Generation. This study describes how to connect a hybrid PV and wind turbine system to distribute and control input sources optimally. Fuzzy logic is used to control the input source by applying Mamdani inference on the trapezoidal membership functions. In order to distribute the generated power in an optimal manner, the suggested study then presents a novel particle swarm optimization technique with collaborative properties of both PV and wind turbines. When compared to other cutting-edge techniques, the simulation results demonstrate the efficacy of optimal fuzzy logic for hybrid power distribution in PV-wind turbine systems.

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An Enhanced Optimization Strategy in a Hybrid Power System with Photovoltaic-Wind Turbine System in Terms of Energy Conservation

  • 章节

  • 发表日期：

    2026年

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  • B. Deepanraj,
  • Abdul Rahman Afzal,
  • P. Muthukumar,
  • T. Jarin

摘要

A sizing method is designed for a hybrid power distribution technique with the help of photovoltaic (PV) cell mathematical models and wind turbine mathematical models. This sizing methodology simulates the annual function of various photovoltaic-wind hybrid power system structures to achieve optimal power distribution. Even though the results of using a hybrid power source under unbalanced and nonlinear load situations show greater quality load voltage, optimal power distribution remains a primary issue that requires resolution. This research proposes the use of Optimal Fuzzy Logic (HPG-OFL) in Hybrid Power Generation. This study describes how to connect a hybrid PV and wind turbine system to distribute and control input sources optimally. Fuzzy logic is used to control the input source by applying Mamdani inference on the trapezoidal membership functions. In order to distribute the generated power in an optimal manner, the suggested study then presents a novel particle swarm optimization technique with collaborative properties of both PV and wind turbines. When compared to other cutting-edge techniques, the simulation results demonstrate the efficacy of optimal fuzzy logic for hybrid power distribution in PV-wind turbine systems.