Concurrent planning of ultra-fast EV charging infrastructure, intermittent PV, and DSTATCOM in a reconfigured three-phase unbalanced distribution system

The current work suggests a comprehensive planning framework to optimise the integration of Photovoltaic (PV)-based ultra-fast Electric Vehicle Charging Station Infrastructure (EVCSI) and Distribution Static Compensators (DSTATCOM) in a reconfigured Unbalanced Radial Distribution System (URDS). A practical two-stage planning approach is used to minimise power losses and manage EV charging demands, focusing on optimising network reconfiguration in the first stage, while optimal allocation of EVCSI, PV, and DSTATCOM by minimising investment, power purchasing, and energy loss costs in the second stage. Some key unbalance indices, such as voltage unbalance factors and neutral currents, are analysed to highlight challenges in integrating EVCSI into large unbalanced systems, while a detailed economic and environmental analysis ensures a balance between technical performance, societal benefits and cost-effectiveness. The framework employs Teaching Learning-Based Optimisation and leverages a MATLAB-OpenDSS COM interface for accurate simulation and optimisation. Over the course of the ten-year planning period, the suggested work is validated on a real large URDS, IEEE 123-bus. According to thorough and in-depth calculations, the suggested strategy reduces power loss, neutral current and voltage unbalance factor by 32%, 40% and 21%, respectively, while improving the voltage profile. This comprehensive methodology guides distribution system operator in planning ultra-fast EVCSI, enabling realistic and efficient solution for evolving distribution system needs.