Coordinated Peak Regulation Optimization Considering Uncertainty of Peak Regulation Capacity Provided by Load-side Resources

As the penetration rate of new energy continues to increase, the demand for peak regulation in the power system continues to rise, while the proportion of traditional generating units capable of undertaking peak regulation tasks in the system is decreasing. There is an urgent need for coordinated dispatch between generation and load sides to participate in peak regulation. However, the adjustable capacity of load-side resources is greatly influenced by their status, and there is uncertainty in their actual output when executing peak regulation commands, which poses challenges to peak regulation dispatch. A coordinated peak regulation optimization considering the uncertainty of load-side peak regulation capacity is proposed to address this. A modified approach to the traditional Chebyshev inequality is proposed to address the characteristics of load-side resources, which are both decision variables and subject to uncertainties and time-coupled constraints. The model is reconstructed as a mixed-integer optimization model. Through the case study of the 118-node system, the proposed model generates less load shedding and wind curtailment during actual dispatch, leading to the safe and stable operation of the power grid.