Research On Power System Fault Diagnosis Based On Genetic Algorithm

With the continuous expansion of the power system,regional interconnection has become the development trend of China's power grid in the future.The number and types of structural units of the power grid are increasing,which brings severe challenges to the fault diagnosis of power systems.The current mainstream fault diagnosis technology still stays in the experience identification method and the rough estimation method,which cannot meet the needs of modern power grids.Various limitations have caused great troubles for the safe and stable operation of the power grid and high-quality power supply.Therefore,in view of the above problems,this paper proposes a power system fault diagnosis method based on improved genetic algorithm,which can effectively solve the problems of difficult diagnosis and inaccurate diagnosis of large power grids.In order to develop the subject of this paper,it is necessary to identify and model the fault diagnosis model of the power system.It is proposed to convert the fault diagnosis problem into a 0-1 integer programming with constraints based on the state information of the components of the input power system.Modeling method.In order to consider the large number of automatic reclosing in the power system,this paper introduces the contribution weight of the reclosing,and gives the expressions of the contribution weights for different relay protection devices,effectively simulating a more realistic large power grid.The problem that the power system fault diagnosis information is often incomplete is solved,and the method can effectively adapt to various diagnostic scenarios with missing fault information and less information.In this paper,an improved genetic algorithm is proposed to optimize the objective function,and the coding method in the genetic algorithm is improved.The region coding method is adopted to effectively increase the diversity of species,and the algorithm is implemented by Python language.The optimal objective function value is used to effectively judge the fault point of the power system.In order to prove the effectiveness of the proposed method,this paper uses an example of a substation in Inner Mongolia to test the effectiveness of the proposed method.The results show that the simulation results are accurate and reasonable.