Active and Reactive Power Collaborative Optimization of Photovoltaic Distribution Network Based on Two-Stage Decision-Making

The penetration of distributed PV in distribution networks is increasing. The randomness and uncertainty of distributed PV output can lead to voltage fluctuations in the distribution network. Thus, for a PV distribution network, this research suggests a two-stage joint optimization approach for active and reactive power. Reducing voltage fluctuations and increasing the distribution network's economy of operation are the goals. In the first stage, a reactive power compensator planning model is established. The reactive power compensator's capacity and position are established based on the cost optimization goal function and loss sensitivity indicators. In the second stage, the results of the devices are derived based on a multiobjective improved particle swarm algorithm. And the collaborative optimization model of active and reactive power is established. Finally, the network loss and voltage optimization results are obtained. The IEEE 33-bus distribution network was the basis of several simulations and comparisons. The approach lowers operating costs and enhances voltage stability of the distribution network with photovoltaic access, according to the results. The effectiveness of the proposed strategy is verified.