Finite frequency fault detection method based on event triggering strategy

Abstract

The invention provides a finite frequency fault detection method based on an event trigger strategy, and belongs to the technical field of photovoltaic power generation. In the aspect of system modeling, in order to research a distributed photovoltaic power generation system, a Markov neural network system dynamic model is adopted to describe nonlinearity and mutability of the distributed photovoltaic power generation system; in the aspect of a transmission strategy, in order to save network resources and relieve bandwidth pressure, an event triggering strategy is adopted, and energy loss in the transmission process is reduced while accurate information transmission is met; in the aspect of a fault detection method, a finite frequency fault detection method is designed, so that the systemhas robustness to random disturbance and sensitivity to faults, and meanwhile, the influence of signal frequency on the system can be better processed by adopting the finite frequency method.

Description

technical field [0001] The invention belongs to the technical field of photovoltaic power generation, and relates to a fault detection method applied to a distributed photovoltaic power generation system, in particular to a limited-frequency fault detection method of a distributed photovoltaic power generation system based on an event trigger strategy. Background technique [0002] In recent years, with the continuous improvement of people's attention to clean energy, many countries in the world have vigorously promoted the development of the photovoltaic industry. However, as an emerging industry in my country, its market size still cannot be compared with thermal power and hydropower. Fortunately, , with the continuous implementation of the policy, the photovoltaic industry is gradually attracting a large amount of funds and has great potential. As an indispensable part of the photovoltaic power generation industry, the distributed photovoltaic power generation system not o...

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Problems solved by technology

On the other hand, in actual engineering, most system dynamics are likely to produce sudden changes, such as interference from the physical environment, circuit failure, maintenance and repair, etc., and its structural parameters will change randomly. How to describe nonlinear and structural uncertainties and sudden changes in industrial systems become a problem

Moreover, the traditional communication network often adopts a time-triggered mechanism, resulting in unnecessary data transmission, resulting in high network bandwidth occupancy and a large amount of network resources being wasted.

In addition, in the traditional fault detection method, we often ignore the frequency information in the fault signal, but in fact, the fault signal sometimes only has a greater influence in some specific frequency ranges, that is, the fault has limited Frequency domain characteristics, so it is necessary to analyze and detect signals in a specific frequency domain

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