Research on Multi-Objective Dynamic Reactive Power Optimization of Distribution Network with Renewable Energy Access

With the large-scale access of distributed power to the distribution network, the structure of the original distribution network becomes complicated. Due to the volatility and randomness of wind power and photovoltaic power generation output, the power flow direction of the distribution network is changed, and the quality of power is also reduced. In view of the above situation, a reactive power optimization model with the minimum active network loss, voltage deviation and average fluctuation rate of node voltage is established. In addition, the uncertainty of wind power and photovoltaic output is simulated and solved by improved particle swarm optimization algorithm. Finally, the example simulation is carried out in the IEEE33 node distribution system. The results show that the improved particle swarm optimization algorithm and optimization model proposed in this paper can effectively reduce the network loss and prevent the node voltage from exceeding the limit.