Research on the Application of Improved Sparrow Search Algorithm in Self healing Control of Intelligent Distribution Networks
In response to the low efficiency and poor effectiveness of self-healing control in current intelligent distribution net-works,this study considers the self prevention and self recovery of intelligent distribution networks,and constructs a mathematical model of self-healing control in intelligent distribution networks from the perspectives of distribution network optimization reconstruc-tion and fault recovery.Sparrow Search Algorithm(SSA)is used to solve it.In response to the shortcomings of SSA's unsatisfactory convergence and optimization performance,research has introduced strategies such as Chebyshev chaotic mapping and golden sine to improve it,in order to enhance the solving effect of the self-healing control mathematical model.The experimental results show that the Recall value of ISSA algorithm is 95.94％,and the F1 value is 94.48％.In the self-healing control of distribution networks,the optimized ISSA algorithm has lower switch usage times and network losses compared to the other two algorithms.In summary,the IS-SA based intelligent distribution network self-healing control method proposed in the study can effectively improve self-healing per-formance and ensure the safe and stable operation of the power grid.
sparrow search algorithmintelligent distribution networkself healing controlstatus assessment
万方数据
维普
