With the decrease in the conventional synchronous generators, the secure and stable operation of receiving-end power grid faces challenges due to the insufficient reactive power support and disturbance rejection capability. In order to ensure voltage stability of the power system under severe faults, a voltage stability emergency control strategy is proposed to coordinate multiple types of regulation resources including grid-forming energy storage (GFM-ES) synchronous condenser (SC), and load shedding. Firstly, an electromechanical transient model of the GFM-ES is constructed, and a custom module is built in power system analysis software package (PSASP) to simulate its dynamic characteristics. Secondly, a system voltage stability prediction model based on squeeze-and-excitation convolutional neural network (SE-CNN) is established to map control quantity and voltage stability level under variable operating scenarios. Finally, the reactive power regulation characteristics of the multiple control resources are analyzed. Control sensitivity indices are employed to evaluate their enhancement effect on the voltage stability level, forming the basis for a coordinated emergency control strategy. The effectiveness of the proposed strategy is verified in a receiving-end power grid simulation system.