Dynamic reactive power optimization strategies for active distribution networks

In order to improve the utilization of distributed power sources and to cope with a series of challenges including voltage deviation, fluctuation, and poor power quality caused by the uncertainty of distributed power sources and loads, this paper establishes a two-stage robust optimization dynamic reactive power optimization model that includes many controllable devices such as energy storage, distributed power sources, and packet casting capacitors. Firstly, this paper proposes a method to reduce the conservatism of the robust optimization problem using an uncertain budget, and then solves the problem using the column constraint generation method. Finally, the modified IEEE-33 node is used as an example to validate the developed model. The simulation results show that the robust optimization method can better solve the problems caused by the uncertainty factors of distributed power and load, and the robust optimization reduces 177.9kWh on average compared with the deterministic optimization in the worst scenario.