An Efficient Implementation Fault Diagnosis Method Based On Membrane Computing

With the rapid development of economy,all walks of life are increasingly dependent on the power system,the stable and safe operation of the power system has become an important task related to the national economy and people's livelihood.However,when the scale of power grid is expanding and highly interconnected faults occur,a large number of fault multi-source information will flow into the dispatching center in a short time.In this case,it is very difficult for dispatchers to locate faults accurately and quickly in the face of a large number of untreated fault alarm information.Therefore,the research on efficient and automatic fault diagnosis method of power grid has important practical significance for timely handling of faults and ensuring the safe and stable operation of power systems.With the development of diagnostic methods,fault diagnosis methods based on intelligent algorithms have become a research hotspot.As an important branch of Intelligent Computing membranes,the fuzzy reasoning spiking neural P system can well deal with the dynamic and uncertain problems by graphically representing the modeling process and parallel computing process.Therefore,it is very suitable to describe the dynamic discrete relationship between relay protection devices and faults,which makes it very suitable for solving power grid fault problems.Although it has been widely used in the field of power system fault diagnosis in recent years.But the whole modeling,diagnosis and reasoning process is based on the previous manual deduction,time-consuming and inefficient and can not be extended to complex power grid scale fault diagnosis.Based on this,this paper will explore an efficient implementation method of power system fault diagnosis based on membrane computing,which can make use of fault information to automatically and efficiently realize power system fault diagnosis.The main research contents of this paper are as follows:1.Combined with the current problems in the application of membrane computing in power grid fault diagnosis,the general idea of efficient fault diagnosis method is given from the point of view of diagnostic requirements.The main content is to introduce the relevant knowledge of membrane computing,and then analyzes the application of membrane computing in the power grid fault diagnosis,combined with the problems faced,analyzes the diagnosis needs.On this basis,the method structure of fault diagnosis method based on membrane computing is given,and the input information source of fault diagnosis system is analyzed at last.2.According to the general idea,the specific and efficient diagnosis implementation method is proposed.The main content is firstly to construct the input database of fault diagnosis methods,and secondly to give the specific implementation methods,based on network topology analysis,analysis of suspicious faulty component,fault component fuzzy spiking neural P systems with real numbers modeling and fuzzy inference system.3.Software implementation of the proposed improved implementation method.Firstly,the diagnostic algorithm is programmed,and a software system is designed.The final diagnostic results are displayed in the form of user graphical interface,which can quickly and accurately provide assistant decision-making for dispatchers.Then the algorithm complexity is analyzed.Finally,the effectiveness and feasibility of the proposed method and software implementation are tested with the typical simulation cases.