Time Series Based Co-optimization Model of Active and Reactive Power with PV-wind and Storage

With the increasing penetration of renewable energy, the application of distributed power sources is becoming more and more widespread. Distributed generators are involved in the traditional distribution network applications. Energy storage, as a key factor in regulating the voltage load curve, also affects the flow of reactive power and tide through the charging and discharging of electrical energy, and thus plays a critical role in reactive-active co-optimization. This paper propses a time series based co-optimization stratege for energy regulation of distributed power network. Firstly, reactive generators are added and a stage of energy storage siting and capacity setting is carried out. Then active-reactive co-optimization is carried out on this basis, and no energy storage is set as the reference quantity to increase the comparability. Finally, simulation experiment are conducted for a improved system of traditional IEEE33 node. The results show that energy storage has unique advantages in reducing active network loss. And the active-reactive co-optimization has a better performance in reducing network loss and voltage deviation under the state of renewable energy participation.