Assessment of Photovoltaic Power Generation Charging Modes for Electric Vehicles

Abstract

Under the background of the global energy structure transformation, photovoltaic power generation and electric vehicle charging have become the core directions in the new energy field. The former has intermittent output and anti-peaking characteristics, while the latter faces problems such as tight charging resources and unregulated charging affecting grid stability. This article conducts research on the collaborative application of the two, elaborating technical principles and system composition for photovoltaic power generation and electric vehicle charging while analyzing integration modes such as off-grid operation and grid-connected priority. Optimizing operational modes under SCADA (Supervisory Control and Data Acquisition) and PMU (Phasor Measurement Unit) data coordination alongside V2G (Vehicle-to-Grid) technology, proposing a photovoltaic power forecasting method integrating FCM (Fuzzy C-Means)-WOA (Whale Optimization Algorithm)-LSSVM (Least Squares Support Vector Machine)-NPKDE (Non-parametric Kernel Density Estimation) and an EVLS (Electric Vehicle Learning Static Model). The above-mentioned technologies can effectively alleviate the fluctuations in photovoltaic output and the imbalance between charging supply and demand, providing technical support to transform energy structure and achieve dual carbon goals.