Reactive Power Optimization of Active Distribution Network with Distributed Generation

Abstract

Taking an active distribution network with distributed generation as an example, this paper designs a reactive power optimization scheme for the operation of a power grid to reduce the node loss in the operation of an active distribution network. The objective function of voltage optimization is established with the minimum active power loss as the optimization objective. According to the stable operation requirements of an active distribution network, the constraint conditions for the objective function are designed. The improved particle swarm optimization algorithm is introduced to search the particles in the effective workspace of the distribution network. Optimal position of the particles is located in this way. According to the solution set, a reactive power convergence model is constructed. According to the operation state of the active distribution network, the switching times of power equipment are set. The output value of the distributed generation in the power grid is taken as the reactive power optimization target to realize the distribution network’s dynamic reactive power optimization. Taking a large power generation enterprise in the pilot area as the research object, the application experiment is designed. The practice proves that this approach can act in reducing the loss of the distribution network.