Ensuring stable frequency and voltage has recently become increasingly challenging for modern power systems.This is primarily due to the fluctuating and intermittent nature of renewable energy sources and the uncertain electricity demand.To address these issues

this study proposes a load resource management (LRM) method to cope with the sudden power disturbances.The LRM method supports primary frequency and voltage regulation

and its integration with network dynamics minimizes the established disutility function caused by load participation.For better control performance

a non-dominated sorting genetic algorithm-II(NSGA-II)-based gain-tuning procedure was utilized for LRM

aiming to enhance the frequency/voltage nadir

reduce the frequency/voltage steady-state error

and minimize the total load control efforts.To validate the effectiveness of the proposed approach

comparative experiments were conducted with three load-resource management technologies for primary regulation auxiliary services in MATLAB/Simulink.Compared to the conventional optimal load control or using LRM alone

the improved NSGA-II-based LRM demonstrates superior performance.It achieves better frequency response

voltage transients

and steady-state responses

while also considering disutility.