Optimal Reconfiguration of Distribution Network Based on Backtracking Search Algorithm Under the Background of Non-cooperative Game Theory
To mitigate the impact of large-scale integration of distributed generation(DG)on the secure and stable operation of distribution networks,we propose an active distribution network optimal reconfiguration method that considers the uncertainty of distributed power generation output,based on non-cooperative game theory.Firstly,non-cooperative game theory is employed to analyze the game relationship between the distribution network topology and DG output,considering the uncertainty of photovoltaic units in the distribution network system as a player.Secondly,an optimal reconfiguration model with the objective functions of minimizing active network loss,balancing load and minimizing voltage deviation is established.The model is solved iteratively using the backtracking search algorithm(BSA)to obtain the optimal reconfiguration solution.Finally,simulation analysis is conducted using the IEEE33-node system to verify the correctness of the proposed model and the effectiveness of the algorithm.The results indicate that,compared to traditional reconfiguration methods,the proposed optimal reconfiguration approach in this study comprehensively addresses the uncertainty of distributed power generation output.In the most adverse scenario,the reconfiguration strategy can lead to a reduction of 0.31%,0.59%,and 0.48%in active power loss,load balancing,and voltage deviation indices within the distribution network system.
distribution networkoptimal reconfigurationuncertaintynon-cooperative gamebacktracking search algorithm
万方数据
维普
