This article proposes an Electric Vehicle (EV) based multi area deregulated power structure to enhance Power System Frequency Regulation (FR). Modern networks have significantly less inertia than older ones, therefore keeping reserves of power (like batteries) would need very fast regulatory responses to reduce frequency swings in the grid. The power system under investigation combines two different energy sources (gas and thermal with RESs) in each control area with several real-time nonlinearities, including governor dead band (GDB), boiler dynamics, and generation rate constraint (GRC). PID, fuzzy-1 PID, fuzzy-2 PID, and fuzzy-2 PID-PI controller (proposed)—apply to poolco, bilateral, and contract violation-based transactions, as well as scheduled and unscheduled power under a variety of contracts utilizing distinct tie-lines. A new type-2 fuzzy PID-PI controller has been created and compared with a few controllers that are currently in use. To optimize the gain of the suggested controller, a modified version of the Quasi-Opposition-based Sea-horse Optimization (QOSHO) approach has been used. Several well-known meta-heuristic optimizations are compared to the QOSHO in order to show its superiority. Under poolco-based transactions, analysis was conducted to verify the robustness and flexibility of the proposed controller. The extensive investigation provides compelling proof supporting the value and effectiveness of the proposed controller and optimization.


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    Title :

    Enhancement of AGC for Deregulated Interconnected Power System with Integration of EV Using a Type-2 Fuzzy Controller


    Contributors:


    Publication date :

    2024-07-31


    Size :

    1037274 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English