To improve energy efficiency, reduce carbon emissions, and improve the operating efficiency of virtual power plants (VPP), this paper constructs a wind-photovoltaic-hydrogen-thermal VPP model based on a wide range power adaptation strategy for alkaline electrolyzers. The hydrogen production electrolyzer, hydrogen fuel cell, and hydrogen storage tank constitute a hydrogen energy system to replace the battery in the traditional VPP, and we propose a wide range power adaptation strategy for the alkaline electrolyzer to improve the adaptability of the electrolyzer under different input power conditions. The heat generated during the operation of the hydrogen energy system is used to implement combined heat and power supply to the system load, and at the same time the oxygen produced by the electrolytic cell is sold. On this basis, an improved multi-channel meshless light optimization algorithm is used to optimize the operation scheduling and equipment capacity configuration of each device. The simulation results show that the algorithm offers an improvement in calculation accuracy and speed. The wind-photovoltaic-hydrogen-thermal VPP based on the wide range power adaptation strategy can effectively cope with the fluctuation of wind and photovoltaic output while reducing the operating cost of the system. It can also improve the level of wind and solar consumption and reduce carbon dioxide emissions. This work is supported by the National Natural Science Foundation of China (No. 51767023).