CN-121000177-B - Digital integrated operation and maintenance management system of distributed photovoltaic power station

CN121000177BCN 121000177 BCN121000177 BCN 121000177BCN-121000177-B

Abstract

The invention discloses a digital integrated operation and maintenance management system of a distributed photovoltaic power station. The system comprises a diagnosis excitation module, a synchronous acquisition module, a causal judgment module and a fingerprint management module, wherein the diagnosis excitation module is used for applying diagnosis power supply pulses to a target photovoltaic group string to actively induce defect characteristics, the synchronous acquisition module is used for carrying out high-precision time sequence synchronization with the electric pulses to acquire thermal response signals, the causal judgment module is used for judging the authenticity of the defects based on space-time homology verification, and the fingerprint management module is used for creating and tracking full-life-cycle digital fingerprints of the confirmed defects. The invention can filter out environmental interference, realize high confidence degree diagnosis of early latent faults, and carry out predictive maintenance based on defect evolution trend, thereby improving the operation and maintenance efficiency and the asset health management level of the photovoltaic power station.

Inventors

MIN GAO
LUO FAN
ZOU YAN

Assignees

苏州金裕阳光伏科技有限公司

Dates

Publication Date: 20260508
Application Date: 20250822

Claims (6)

1. A digital integrated operation and maintenance management system of a distributed photovoltaic power station, comprising: a diagnostic excitation module configured to apply a diagnostic electrical pulse to a target string of photovoltaic groups in a photovoltaic power plant; a synchronization capture module configured to time synchronize with the application of the diagnostic electrical pulses with high precision to capture thermal response signals excited by the diagnostic electrical pulses on the target photovoltaic string; A causal arbitration module configured to arbitrate whether a real physical defect exists in the target photovoltaic string based on spatiotemporal consistency of the application information of the diagnostic electrical pulses and the thermal response signal; a fingerprint management module configured to create or update its full life cycle digital fingerprint for defect points arbitrated via the cause and effect arbitration module as having a real physical defect; The causal judging module comprises a physical electric mapping database which stores the mapping relation between the geographic coordinates of the photovoltaic module and the electric topology identifications of the photovoltaic module in advance, wherein the causal judging module is configured to anchor the geographic coordinates of the thermal response signals to the unique electric topology identifications by utilizing the physical electric mapping database firstly, then judge whether the occurrence time of the thermal response signals and the application time of the diagnosis electric pulses are synchronous within a preset time window or not, and judge whether the electric topology identifications of the thermal response signals and the electric topology identifications of the diagnosis electric pulse application targets are consistent or not so as to judge the real physical defects; The causal arbitration module is further configured to employ an algorithm of multi-scale time window energy integration to verify synchronicity within the preset time window, thereby suppressing environmental noise interference; The fingerprint management module further comprises a defect evolution prediction model configured to predict future evolution risk of the defect based on time series data of the digital fingerprint.
2. The digital integrated operation and maintenance management system of a distributed photovoltaic power plant of claim 1, wherein said diagnostic excitation module applies said diagnostic electrical pulses on-line through a grid-tie inverter connected to said target photovoltaic string.
3. The digital integrated operation and maintenance management system of a distributed photovoltaic power plant of claim 2, wherein the diagnostic electrical pulse is a brief reverse bias diagnostic power off pulse, and wherein the diagnostic excitation module is configured to control parameters of the reverse bias diagnostic power off pulse within a predetermined safety range to excite the thermal response signal without damaging the target photovoltaic string.
4. The system of claim 1, wherein the synchronization capture module comprises an unmanned aerial vehicle on which an infrared thermal image camera is mounted, and wherein the system further comprises a time synchronization unit configured to employ a network time synchronization protocol in combination with hardware trigger signals to achieve high precision time synchronization between exposure of the infrared thermal image camera and application of the diagnostic electrical pulses.
5. The system of claim 4, wherein the causal arbitration module implements sub-cell level high-precision spatial localization of the thermal response signal via the physical electrical mapping database.
6. The digital integrated operation and maintenance management system of a distributed photovoltaic power plant according to claim 1, wherein said digital fingerprint created or updated by said fingerprint management module comprises at least one or more of peak temperature rise, phase difference, and thermal decay constant of said defect point versus said diagnostic electrical impulse response.

Description

Digital integrated operation and maintenance management system of distributed photovoltaic power station Technical Field The invention relates to the technical field of operation and maintenance of photovoltaic power stations, in particular to a digital integrated operation and maintenance management system of a distributed photovoltaic power station. Background Because of the characteristics of numerous and scattered geographic positions, the operation and maintenance management of the distributed photovoltaic power station has extremely high requirements on efficiency and accuracy. At present, the technical basis of the mainstream operation and maintenance monitoring system in the industry is established on the basis of passive observation of data of a photovoltaic power station in a natural working state no matter what specific analysis algorithm is adopted. However, this technical paradigm, which relies entirely on passive observations, presents a fundamental technical bottleneck, namely the inherent drawbacks of uncontrollable, low signal-to-noise ratio and randomness of the diagnostic signals on which it depends itself. In particular, the manifestation of fault signatures (whether faint changes in electrical parameters or anomalies in infrared temperature), heavily dependent on uncontrolled external environmental conditions such as high light, low wind speeds, etc., leads to the discovery of faults with great contingencies and hysteresis. More importantly, the weak fault signals are easily submerged or confused by transient environmental noise such as cloud shielding, bird droppings or leaves, and the like, so that the signal to noise ratio is extremely low. The fundamental defect of the diagnostic signal directly leads to the technical contradiction that the prior art scheme is difficult to overcome in engineering practice, namely, lower accuracy (more noise is introduced) is required to be accepted for improving the sensitivity of diagnosis, and the sensitivity is required to be reduced and longer observation time is required to be waited for improving the accuracy. Disclosure of Invention The invention provides a digital integrated operation and maintenance management system of a distributed photovoltaic power station, which aims to solve the fundamental technical problem that a high-fidelity, controllable and deterministic diagnosis signal cannot be obtained due to the dependence on passive observation in the prior art. In view of the above problems, the present invention provides a digital integrated operation and maintenance management system of a distributed photovoltaic power station, including: a diagnostic excitation module configured to apply a diagnostic electrical pulse to a target string of photovoltaic groups in a photovoltaic power plant; a synchronization capture module configured to time synchronize with the application of the diagnostic electrical pulses with high precision to capture thermal response signals excited by the diagnostic electrical pulses on the target photovoltaic string; A causal arbitration module configured to arbitrate whether a real physical defect exists in the target photovoltaic string based on spatiotemporal consistency of the application information of the diagnostic electrical pulses and the thermal response signal; A fingerprint management module configured to create or update its full life cycle digital fingerprint for defect points arbitrated via the cause and effect arbitration module as having a real physical defect. The technical scheme provided by the application has at least the following technical effects or advantages: The invention can identify and document the physical defects in the sprouting stage by actively applying the diagnosis electric pulse and synchronously capturing, and solves the technical problem that the early latent faults cannot be found because the prior art passively depends on the data of the photovoltaic module in the natural working state. Because the diagnosis signal is actively generated by the system, the relevance between the characteristics and the external environment condition is greatly reduced, so that the diagnosis capability keeps high consistency under different working conditions, and the technical problem that the diagnosis opportunity has accidental and hysteresis due to strong dependence on the ideal environment condition in the prior art is solved. The invention carries out strict logic association on the active excitation 'cause' and the physical response 'result' through a causal arbitration mechanism of space-time homology, thereby effectively distinguishing the real physical defect response from the random thermal noise caused by environmental factors and solving the technical problems of low diagnosis accuracy and warning flooding caused by the fact that the signal and the noise cannot be effectively distinguished in the prior art. The invention realizes the quantitative prediction of the future develop