Active Distribution Grid Optimization Scheduling Strategy Considering Demand Response Resources

Abstract

The existing distribution network scheduling methods tend to produce unsatisfactory scheduling results due to the neglect of factors such as power user behavior and satisfaction. Based on this, this paper carries out the research on active distribution network scheduling optimization with the research goal of resource scheduling according to user needs. When constructing two demand response models of electricity price incentive load and interruptible load, the degree of user satisfaction is fully considered. According to the demand response resources, from the three aspects of saving power generation cost, energy storage cost and interruptible compensation incentive, set the priority, complete the optimal design of the dispatching model according to the set conditions, and minimize the cost when establishing. The improved particle swarm optimization algorithm is used to realize the final optimal dispatching of active distribution network. The experimental results show that considering demand response resources is helpful to increase the consumption of renewable energy in active distribution network and reduce network loss. The active distribution network loss of the proposed method is significantly lower than that of the traditional method, which verifies the efficiency of the proposed method.