Solar energy paper index
Enhanced Smart Mobile Power Bank with Wind–PV–HESS Integration and Adaptive ANN Control for Mobile Microgrids
One-line summary
A solar energy research paper on Enhanced Smart Mobile Power Bank with Wind–PV–HESS Integration and Adaptive ANN Control for Mobile Microgrids.
Engineering notes
Engineering notes will be added by the Power for Solar editorial team.
Chinese explanation / 中文解读
中文解读待补充:本站会优先为光伏效率、钙钛矿太阳能电池、储能技术、太阳能热利用、BIPV、并网技术等高价值论文补充中文说明。
Original abstract
This paper presents an improved Smart Mobile Power Bank (SMPB) architecture that integrates wind power generation with conventional photovoltaic (PV) systems and hybrid energy storage systems (HESS) to enhance operational stability and reduce grid dependency in mobile dc microgrids under high penetration of alternative fuel vehicles (AFVs). Conventional SMPB systems relying solely on PV, HESS, and virtual inertia control (VIC) exhibit limitations during low solar availability and rapidly varying vehicle charging demands. To overcome these challenges, a compact wind energy conversion system (WECS) is incorporated, forming a hybrid wind–PV–HESS structure capable of providing a more reliable and flexible renewable energy supply. An adaptive artificial neural network (ANN)–based controller is employed to improve dc-bus voltage regulation, enhance dynamic response, and mitigates transient disturbances arising from sudden AFV charging or discharging events. The ANN controller learns system behavior online and adaptively coordinates power flow among the WECS, PV array, HESS, and grid interface converters, demonstrating superior stabilization performance compared to conventional VIC-based control. The proposed SMPB functions both as a mobile charging station (MCS) and a grid-supportive dc machine, offering improved voltage smoothing, inertia response, and ancillary support to weak or heavily loaded grids. Simulation results indicate that the wind-assisted SMPB with adaptive ANN control enhances system stability, reduces transient oscillations, improves renewable energy utilization, and minimizes reliance on the utility grid. This study provides a simulation-based validation of a resilient and efficient solution for future power systems with high AFV integration.
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