Aiming at the problems of high carbon emission, high generation retarder and low voltage stability margin in load control of power grid with new energy, a non-inductive load control method of power system with distributed new energy and carbon emission constraint is proposed. Considering the randomness of photovoltaic and wind power output, a power system demand uncertainty function model including distributed power supply is constructed. The distribution of power generation cost and expected active power output is calculated to minimize the average power generation cost. The expected carbon emission is calculated based on the output power of energy storage system, wind farm and photovoltaic power station, and the objective function of non-inductive control of power grid load is constructed. Considering economy, sustainability and stability, the corresponding constraint conditions are set, and the biogeographic-based optimization (BBO) algorithm is used to solve the problem. Finally, the simulation results show that the proposed non-inductive control method can achieve the goal of low carbon emission and high solar utilization while ensuring the stable operation of the power grid. Compared with the traditional optimization algorithm, the accuracy of load regulation of the BBO algorithm is kept above 95%, which can realize the effective load regulation better.