LOCATION AND CAPACITY DETERMINATION METHOD OF DISTRIBUTED GENERATION IN DISTRIBUTION NETWORK BASED ON ICOA ALGORITHM
In response to the optimization configuration problem of distributed generation(DG)in the distribution network,this article considers the impact of the number of DG connections and different power factors on the active power loss and bus voltage distribution in the distribution network,and proposes a DG location and capacity determination strategy based on the improved chimpanzee optimization algorithm(ICOA).Firstly,a DG location and capacity optimization model is established with the goal of minimizing active power loss,maximizing voltage stability index,and minimizing average loss during system operation;Then,considering the impact of the number of DG connections on the optimization operation indicators of the distribution network,the CPLEX solver is used to determine the optimal number of DG connections;On this basis,taking into account the two application scenarios of integrated power factor access and variable power factor access for DG,ICOA is used to solve the DG location and capacity model;Finally,simulation verification analysis is conducted using the IEEE-33 node distribution system.The results show that compared to DG with integrated power factor,DG with variable power factor can further reduce active power loss and improve bus voltage distribution during system operation;Compared with traditional algorithms,the improved algorithm has higher convergence accuracy and can effectively solve the multi-objective optimization problem of DG location and capacity.
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