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<p>This paper describes an Intelligent based Cascade Fractional Controller (ICFC) for interconnected hybrid power system. The research work also elaborates the incorporation of an Electric Vehicle (EV) and Static Synchronous Series Compensator (SSSC) device for the anticipated Load Frequency Control (LFC) scheme. The mathematical modeling aspect considers thermal power system, bio gas power system and Distributed Generation (DG). The proposed system also considers nonlinearities such as Governor Dead Band (GDB), Generation Rate Constraint (GRC) and Boiler Dynamics (BD) to achieve a realistic approach. Furthermore, this work is extended in a deregulated environment in coordination with of High Voltage Direct Current (HVDC) and Inertia Emulation-Based Control (INEC) mechanism. To get the different optimum parameters of the studied system, a modified Quasi Opposition Lion Optimization Algorithm (QOLOA) has been proposed. To show the efficacy of the proposed system, it has been analyzed on different case systems such as Polco Based Transaction (PBT), Bilateral Based Transaction (BBT) and Contract Based Transaction (CVT) for a restructured power environment. Furthermore, constant and variable DG is also considered, along with perturbation of random and time varying load pattern. Also, the robustness of the system has been verified through sensitivity analysis. Hence, the overall dynamic performance analysis of the proposed system is found improved and more effective in deregulated hybrid scenario.&#xa0;</p>

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Employing electric vehicle and FACTS device for deregulated hybrid power system using cascaded fuzzy controller

  • 期刊论文

  • 发表日期：

    2026年2月23日

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  • Ashiwani Kumar,
  • Ravi Shankar,
  • Rajib Kumar Mandal

摘要

This paper describes an Intelligent based Cascade Fractional Controller (ICFC) for interconnected hybrid power system. The research work also elaborates the incorporation of an Electric Vehicle (EV) and Static Synchronous Series Compensator (SSSC) device for the anticipated Load Frequency Control (LFC) scheme. The mathematical modeling aspect considers thermal power system, bio gas power system and Distributed Generation (DG). The proposed system also considers nonlinearities such as Governor Dead Band (GDB), Generation Rate Constraint (GRC) and Boiler Dynamics (BD) to achieve a realistic approach. Furthermore, this work is extended in a deregulated environment in coordination with of High Voltage Direct Current (HVDC) and Inertia Emulation-Based Control (INEC) mechanism. To get the different optimum parameters of the studied system, a modified Quasi Opposition Lion Optimization Algorithm (QOLOA) has been proposed. To show the efficacy of the proposed system, it has been analyzed on different case systems such as Polco Based Transaction (PBT), Bilateral Based Transaction (BBT) and Contract Based Transaction (CVT) for a restructured power environment. Furthermore, constant and variable DG is also considered, along with perturbation of random and time varying load pattern. Also, the robustness of the system has been verified through sensitivity analysis. Hence, the overall dynamic performance analysis of the proposed system is found improved and more effective in deregulated hybrid scenario.