Energy management for smart residential homes: A real-time fuzzy logic approach

Energy management within smart residential homes is a long-standing challenge that involves effective scheduling of electric vehicle charging and discharging while utilizing available photovoltaic resources and efficiently drawing power from the electric grid to meet household energy demands. In this work, we propose a fuzzy logic-based real-time energy management control system from the perspective of an electric utility to achieve these objectives while simultaneously minimizing electricity costs for both the utility and customers, promoting reliable power grid operation, and mitigating distribution transformer overloading. The efficacy of the proposed energy management controller is evaluated on a secondary distribution system, and delivered results in computational time of just 52 ms. Further investigation is conducted on a large-scale power distribution test feeder, comprising diverse secondary distribution groups. The findings indicate that the proposed approach offers significant benefits to all stakeholders. • Addressed smart homes’ energy management challenges. • Proposed a fuzzy logic-based real-time control system. • System minimizes electricity costs and ensures grid reliability. • Reduces risks of transformer overloading. • Efficient: 52 ms computational time on secondary distribution.