Construction of an Adaptive Metric Model for Maximum Access Capacity of Distributed Photovoltaic in Active Distribution Networks

Abstract

Distributed photovoltaic (PV) access to the active distribution network can easily cause power fluctuation and affect the reasonable setting. The maximum access capacity is constructed as an adaptive metric model. Taking the total installed capacity as the objective function, the maximum access capacity adaptive metering model is constructed. For the constructed model, the constraints of light abandonment constraint, energy storage system constraint, voltage deviation constraint at the common connection point, line limit capacity constraint and distribution transformer capacity constraint are set. The model is solved by using multiple swarm genetic algorithms, output maximum access capacity. The abandonment rate of PV nodes is less than 3%, and the voltage overrun rate and line capacity overrun rate are less than 1%.