This application proposes a method for seamless active and reactive power coordination optimization of electric vehicles (EVs) in power
distribution networks, within the field of EV charging / discharging and
intermittent power source coordinated scheduling technology. First, it establishes a single EV seamless control model considering user preferences, classifying users into four categories—orderly charging, bidirectional charging / discharging, elastic demand, and
fast charging priority—and defining their operating boundaries to achieve differentiated and precise control. Second, it employs a dynamic aggregation method, updating cluster adjustability based on real-time status to improve assessment accuracy. Finally, it constructs a multi-objective coordinated optimization model, integrating resources such as
capacitor banks, photovoltaic systems, and EV clusters to collaboratively optimize
voltage quality, load peak shaving, and operating costs. This solution addresses issues such as
voltage exceeding limits, load peak-valley differences, and insufficient multi-
resource coordination caused by the high proportion of
new energy and EV integration, achieving the beneficial effects of effectively improving
voltage quality, balancing load, and enhancing economic efficiency while ensuring a seamless charging experience for users.