article · Designs
This research outlines a hybrid control and rule-based energy management system designed for residential settings that combine solar photovoltaic systems and electric vehicles. The system coordinates the balance of residential power demands based on solar generation, vehicle availability, and battery state of charge. Power converters within the setup are managed using specific control techniques: a combined proportional-integral and fuzzy logic controller manages the bi-directional converter to suppress current and voltage ripples, while an active disturbance rejection controller manages the grid-side converter to handle disruptions. The management strategy directs bi-directional energy transfer through home-to-vehicle and vehicle-to-home modes, while accommodating contingencies such as emergency vehicle usage. Validated via simulations across multiple operating conditions, the system effectively coordinates energy flows and lowers reliance on the external electricity grid.
Combining domestic solar panels with electric vehicles allows homeowners to store clean energy and power their residences during peak demand or emergencies. By intelligently managing these bidirectional power flows, such systems can stabilise domestic energy supplies, cut reliance on the electrical grid, and help households make better use of self-generated renewable electricity.
This work could inform the development of domestic energy management software and smart inverter hardware for residential microgrids and smart home systems. Target users include domestic energy equipment manufacturers and smart grid service providers. Given that the system has been tested and validated purely through simulations, it represents early-stage research that requires physical prototype testing before commercial deployment.
AI-generated from the published abstract. Always read the original work before citing.
Electric vehicles (EV) and photovoltaic (PV) systems are increasingly becoming environmentally friendly and more affordable solutions for consumers. This article discusses the integration of PV and EV in a residential system to meet the requirements of residential loads taking into account the PV supplied power, availability and the state of charge (SOC) of EVs. A hybrid control model has been proposed to control the residential system. The combined PI-Fuzzy logic controller is employed to control the buck-boost bi-directional converter. The DC-AC grid-side converter is controlled by the ADRC controller. The effectiveness of PI-Fuzzy logic controller in reducing voltage and current ripples and ADRC controller in rejecting disturbances is demonstrated in each case. A rule-based energy management strategy has been proposed to control the flow of energy between the components of the residential system. The suggested energy management system (EMS) covers every scenario that might occur. Whether the EV is linked to the home or not, and also takes into account the owner using the EV in an emergency situation. The EV operates in two modes, Home-to-Vehicle (H2V) mode and Vehicle-to-Home (V2H) mode, depending on the power produced by the PV and the conditions related to the EV. All possible scenarios are tested and validated. The simulation results show that the proposed EMS is a reliable solution that can reduce the power grid intervention.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.3390/designs7020052
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.
