Research on Overload Control Strategy of Power System Lines Based on DBSCAN Algorithm
The uneven distribution of loads in the power system and the lack of effective load regulation and balancing mecha-nisms can easily lead to line overload issues.Therefore,a study on the overload control strategy of power system lines based on DB-SCAN algorithm is proposed.Fix the missing load data in the original power system using DBSCAN secondary clustering method to ob-tain more comprehensive load data;The repaired load data is used to construct a line overload control model.When constructing the model,the objective function is to minimize the electricity load,unit active power adjustment,and voltage deviation,and the con-straint conditions are the generation power,load node power,and node voltage load;The binary cuckoo search algorithm is used to solve the model and obtain the optimal solution that meets the constraint conditions.By continuously iterating and adjusting the search position,the optimal strategy for line overload control in the power system is found.The experimental results show that the proposed method has good control effects on power fluctuations and voltage offsets,and has high computational efficiency while ensuring good line overload control effect in the system.
DBSCAN algorithmdata patchingline overload control modelcuckoo search algorithm
万方数据
维普
