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@article{186357,
        author = {BDV MANIKANTA and Dr. M GOPICHAND NAIK},
        title = {Grid Connected Modular Inverter with Fuzzy Logic Control for an Integrated Bidirectional Charging Station for Residential Applications},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {1601-1631},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186357},
        abstract = {This research work introduces a novel grid-connected modular inverter for an integrated bidirectional charging station (IBCS) primarily intended for residential and small-scale community energy systems. The proposed system is developed to meet the emerging demand for intelligent energy conversion interfaces that can effectively support electric vehicle (EV) charging, grid stability, and renewable energy management within the framework of a smart grid environment. The growing penetration of EVs and distributed renewable energy sources, such as solar photovoltaic (PV) and small wind turbines, has created new challenges in power balancing, grid stability, and energy utilization efficiency. This research aims to address these issues by proposing efficient, flexible, and intelligent inverter architecture capable of performing multiple functions in a residential setup.
The core of the proposed system is a modular bidirectional inverter that can operate seamlessly in several modes according to real-time grid conditions and user requirements. It functions both as an EV charger and as an energy interface between the EV battery, household loads, and the electrical grid. The system is designed to operate in bidirectional power flow mode—charging the EV battery from the grid or renewable energy sources when surplus power is available and discharging the battery to supply energy back to the grid or home loads during peak demand or outages. This bidirectional energy transfer capability makes the system suitable for Vehicle-to-Grid (V2G), Vehicle-to-Home (V2H) operations, thus extending its utility beyond simple charging infrastructure.
One of the key contributions of this work is the implementation of an advanced control strategy that enables efficient coordination among multiple energy sources. The proposed control approach is based on a low-level control strategy incorporating droop control and feedforward decoupling mechanisms to maintain stable voltage and frequency across the system during load and generation variations. The droop control technique, traditionally used in microgrid applications, is employed here to achieve decentralized power sharing and ensure smooth transitions between grid-connected and islanded operating modes. 
To enhance the performance of conventional controllers, the system integrates a hybrid control scheme combining a Proportional-Integral (PI) controller with a Fuzzy Logic Controller (FLC). While the PI controller ensures steady-state accuracy, the fuzzy logic component improves adaptability and robustness under dynamic operating conditions. The FLC does not rely on an exact mathematical model of the system, allowing it to handle nonlinearities and parameter uncertainties effectively. This hybrid control structure enhances the system’s dynamic response, minimizes overshoot and settling time, and ensures reliable operation under varying grid voltages, load disturbances, and temperature changes.
The system’s overall functionality is comprehensively evaluated through detailed MATLAB/Simulink simulations, which model various real-world scenarios including grid-connected operation, standalone mode, and transitions between different power flow states. The simulation results validate the effectiveness of the proposed control algorithm in maintaining voltage and current stability, regulating power flow, and ensuring seamless mode transitions. The results also demonstrate the system’s ability to support the grid during peak demand periods by discharging stored energy from the EV battery, thereby reducing stress on utility infrastructure and enhancing overall grid resilience.},
        keywords = {},
        month = {November},
        }