Research On Optimization Of Grounding Grid Corrosion Diagnosis Based On Hybrid Algorithm

Due to the complex operating environment,the grounding grid is prone to corrosion as the years increase.Once the grounding grid corrodes,its grounding resistance will increase,and in serious cases,it will lead to accidents in the power system.Most of the projects use large-scale excavation to check the corrosion of the grounding grid.This method is not only blind,but also time-consuming and labor-intensive,affecting the normal operation of the power system.Therefore,on the premise of not digging,it is of great significance to carry out accurate corrosion detection of the grounding grid in timeIn order to study the corrosion detection of the grounding grid,the article combines the electrical network theory and the intelligent algorithm,and proposes a hybrid algorithm based on the RNA single-chain genetic algorithm to optimize the cuckoo algorithm for corrosion detection calculation.This method first builds a non-linear calculation model for ground grid corrosion detection based on knowledge of electrical network theory,and then uses a hybrid intelligent optimization algorithm to calculate the non-linear model.In order to verify the feasibility of the method,two parts of simulation analysis are carried out in this paper.In the first part,the basic genetic algorithm,cuckoo algorithm,particle swarm algorithm and the proposed hybrid algorithm are used to compare and analyze the optimal values and convergence speeds of the calculation results of 23 benchmark functions.In the second part,the ATP-EMTP electromagnetic transient simulation software is used to build a corrosion grounding grid model,and then four algorithms are used to detect and calculate the grounding grid corrosion detection.The calculation results are compared with the ATP setting model.The first part of the simulation analysis results show that,compared with the other three intelligent algorithms,the hybrid algorithm proposed in this article only performs poorly in individual functions,and shows the best search results and the fastest convergence speed in most detection functions.The second part of the simulation analysis results show that in the grounding grid corrosion detection simulation calculation,the results obtained by the RNA-CS hybrid algorithm for diagnosis are less volatile,and its stability and adaptability are stronger,which verifies the superiority of the hybrid algorithm proposed in the article SexAccurate detection of the grounding grid corrosion can provide a corresponding basis for the grounding grid transformation.Through timely and accurate corrosion detection,the corrosion grounding body can be replaced in time.Once a large current accident occurs,the current can be discharged through the grounding grid in time to prevent the occurrence of power system accidents and improve the operation stability of the power system.