Research on Optimal Operation of Substation Self-consumption Load Considering Uncertainty

Abstract

Under the goal of "double carbon", in order to reduce the power consumption, reduce the cost of carbon emission and increase the utilization rate of renewable energy, we propose the optimal operation method of substation self-powered load considering uncertainty. The optimal operation model of substation is established with the objective function of minimizing the operating cost, carbon emission cost and load power variance. The optimal operation strategy of the substation is solved by the affiliation function and particle swarm algorithm, and at the same time, the starting and stopping situations of each load of the substation are solved according to integer planning. A substation in Henan Province is analyzed as an example, and the results show that the method has obvious advantages in reducing the cost of electricity consumption, carbon emission cost, and peak-to-valley difference of the power grid when considering different objectives for optimization comparison under the consideration of photovoltaic and time-sharing tariffs.