Calculation of the carrying capacity of distributed power generation in distribution network under carbon peaking and carbon neutrality goals

Abstract:
Under the " carbon peaking and carbon neutrality " goals and county photovoltaic, the capacity of distributed generation connected to distribution network increases, and the capacity evaluation of distributed generation connected to distribution network is an urgent problem to be solved. Based on the actual operation state and safety boundary of distribution network, particle swarm optimization algorithm and simulated annealing algorithm are combined to form an improved particle swarm optimization algorithm. The maximum amount multinode access to DG in the network can be found by the improved particle swarm algorithm. However, due to the soft constraint of the algorithm, the calculation result will cross the constraint value, and then send the calculation result into the power flow screening calculation program to obtain the optimal DG hosting capacity. Finally, use trial value method to find the ultimate DG hosting capacity. The proposed method is implemented on 21node distribution network model. Results confirm the validity of the proposed method. The maximum, optimal and limiting DG hosting capacity of the network is also determined. The corresponding load capacity can be selected according to the actual demand.