Within-day Rolling Optimization of Active Distribution Network with Wind and Photovoltaic Distributed Generation

Abstract

Due to the randomness and uncertainty of wind and solar energy and the change of the active load, the power grid will face great challenges. After large-scale access to the distributed generations, the active distribution network must be optimized. This paper focuses on the within-day rolling optimization of active distribution network. Considering the influence of distribution generation and load characteristics and the randomness of wind and light in the active distribution network, an integrated model of within-day rolling optimization scheduling for active distribution network is established. The output of the distributed generations needs to be controlled. And the three objective functions of the minimum active network loss, the minimum active output reduction rate of controllable power supply and the lowest operating cost are also appropriately optimized. Then, the combination of the improved particle swarm optimization algorithm and the interior point method is beneficial to the calculation of large-scale nonlinear reactive power optimization. Finally, the feasibility of the algorithm and the rapidity of the optimization are verified on the IEEE118 node system. The superiority of the within-day rolling optimization and reactive power optimization algorithm is also confirmed.