CN-122022766-A - Distributed photovoltaic intelligent operation system

CN122022766ACN 122022766 ACN122022766 ACN 122022766ACN-122022766-A

Abstract

The invention provides a distributed photovoltaic intelligent operation system which comprises a data acquisition module, a data analysis module, an alarm management module and a patrol maintenance module, wherein the modules are used for carrying out data storage and connection exchange through a unified data service layer, a communication protocol driving library is arranged in the data acquisition module and is directly interacted with various devices and sensors of a photovoltaic power station to acquire heterogeneous operation data, the data analysis module is used for carrying out intelligent analysis on the acquired heterogeneous operation data, the alarm management module is used for receiving an intelligent analysis result, carrying out integration and priority judgment, further driving alarm notification and subsequent operation and maintenance processes, and the patrol maintenance module is used for converting the alarm notification into a maintenance work sheet to carry out regular patrol on the devices and maintain the abnormal devices.

Inventors

LI YU
LIU CHENG
XIE JUN
HENG JUN

Assignees

润智科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260116

Claims (9)

1. The distributed photovoltaic intelligent operation system is characterized by comprising a data acquisition module, a data analysis module, an alarm management module and a patrol maintenance module, wherein the modules are used for carrying out data storage and connection exchange through a unified data service layer; The data acquisition module is internally provided with a communication protocol driving library, can be connected with inverters, box-type transformers, intelligent electric meters, weather stations and environment sensors of different brands and models stably, and is used for directly interacting with various devices and sensors of a photovoltaic power station to acquire heterogeneous operation data in a unified and real-time manner; The data analysis module is used for filtering, cleaning and formatting the collected heterogeneous operation data and intelligently analyzing according to various parameter indexes, operation environment and weather conditions; The alarm management module receives heterogeneous operation data from the data acquisition module and an intelligent analysis result of the data analysis module, integrates the heterogeneous operation data and the intelligent analysis result of the data analysis module, judges priority of the heterogeneous operation data and the intelligent analysis result, and further drives alarm notification and subsequent operation and maintenance processes to ensure that an abnormality is found and responded in time; the inspection maintenance module is used for converting the alarm notification into a maintenance work order to periodically inspect the equipment and maintain the equipment with abnormality.
2. The distributed photovoltaic intelligent operation system of claim 1, wherein the data collected by the data collection module not only comprises parameter indexes of various devices of the photovoltaic power station, but also comprises surrounding environment of the photovoltaic power station and the current weather condition, and also comprises time sequence operation parameters; The time sequence operation parameters comprise the generated energy, the generated power, the equipment operation state and the grid-connected operation time of the photovoltaic power station, and the peak, the flat, the valley and the deep valley of the power generation curve of the photovoltaic power station, the ambient temperature, the humidity, the wind power and the solar irradiation amount of the photovoltaic power station, the on-line electric quantity and the consumed electric quantity of the photovoltaic power station; And the communication protocol can be determined according to the actual conditions of different devices, and the data acquisition frequency can be dynamically configured according to the network conditions and the server load.
3. The intelligent operation system of claim 2, wherein the data analysis module is configured to implement intelligent analysis according to various parameter indexes, operation environments and weather conditions through a multi-stage data processing flow and a configurable intelligent analysis strategy, evaluate the health of the power station and predict risks; Judging whether the equipment is normal or not according to the current temperature, humidity, wind speed and equipment grid-connected operation time, fusing the environmental parameters with equipment history, and outputting an equipment real-time health index between 0 and 100; the calculation formula is that the health index H (t) of the equipment at the time t is composed of two parts: Wherein, the (T) represents an environment adaptation factor at the time t, reflects the supporting degree of the current environment on ideal operation, has a value range of 0-1, And (t) represents an aging attenuation factor at the time t, reflects inherent performance attenuation of equipment due to long-term operation, and has a value range of 0-1.
4. A distributed photovoltaic intelligent operation system according to claim 3, wherein said environment adaptation factor The calculation flow of (t) is as follows: environmental adaptation factor (T) integrating the influences of temperature T, humidity RH and wind speed WS, wherein each environmental parameter has an independent influence function, the value of the influence function is between 0 and 1, and 1 represents the optimal condition; Wherein w represents a weight coefficient, f represents an influence function, and the weight coefficient satisfies the following conditions: Temperature influence function (T): Defining ideal temperature interval of equipment operation as [ using trapezium function ] The normal working temperature interval is [ [ ]; Humidity influence function (RH): Wherein, the The method comprises the steps of representing an ideal relative humidity threshold value, wherein a threshold parameter is expressed as a percentage, is a segmentation critical point of a function, when the actual humidity does not exceed the value, the humidity has no negative effect on a system, an influence coefficient is 1, lambda represents a humidity attenuation coefficient, and a regulating parameter is used for controlling the attenuation rate of the influence coefficient when the actual humidity exceeds the ideal threshold value, and the larger lambda is, the faster the attenuation is, and the slower the attenuation is; Wind speed influencing function (WS): Wherein, the When the actual wind speed exceeds the value, the influence coefficient takes 0 to indicate that the system cannot work normally, and k represents a wind speed decay index for controlling the actual wind speed to be 0- When the wind speed is within the range, the attenuation trend form of the coefficient is affected, and the wind speed is set according to the actual wind speed.
5. A distributed photovoltaic intelligent operation system according to claim 3, wherein said aging attenuation factor The calculation flow of (2) is as follows: The factor is based on the device accumulated grid-tie run time : Where L represents the design life of the device, η represents the annual attenuation coefficient, The maximum allowable attenuation threshold is expressed and is determined according to the specification of the equipment.
6. The distributed photovoltaic intelligent operation system according to claim 3, wherein after the state judgment rule is calculated to obtain H (t), two thresholds with magnitude relation are preset, the thresholds are set according to actual working conditions or expert experience, the value range of the comprehensive state evaluation value is divided into three continuous intervals based on the two thresholds, the obtained comprehensive state evaluation value H (t) is matched with the three intervals, and the current operation state of the system is correspondingly judged according to the matching result; the operation state logic corresponding to the three intervals is used for judging that the system is in a healthy operation state when the comprehensive state evaluation value falls into the highest interval, judging that the system is in an early warning operation state when the comprehensive state evaluation value falls into the middle interval, and judging that the system is in a fault operation state when the comprehensive state evaluation value falls into the lowest interval.
7. The distributed photovoltaic intelligent operation system of claim 1, wherein said alert management module comprises: establishing a multi-level system of early warning-fault, wherein the early warning aims at performance degradation trend, the warning aims at equipment abnormality and the fault aims at protection action; intelligent noise reduction, namely associating a plurality of related alarms, suppressing alarm storm and primarily prompting root cause equipment; And a flexible notification strategy, namely configuring different notification channels such as APP pushing, short messages and mails according to the alarm level, the time period and the value of the affected power station.
8. The distributed photovoltaic intelligent operation system of claim 1, wherein the inspection maintenance module operation flow specifically comprises: The inspection maintenance module automatically converts the alarm notification into a structural maintenance work order and intelligently distributes the structural maintenance work order to the mobile APP based on the position, skill and load of operation and maintenance personnel; The mobile operation, the operation and maintenance personnel receive the work order through the APP, navigate to the scene, and check the historical data of the equipment, fault diagnosis suggestions and standard operation guidance; after maintenance is completed, the operation and maintenance personnel upload the processing results and the pictures in the APP, and the work order is closed.
9. The distributed photovoltaic intelligent operation system of claim 1, further comprising a monitoring center for performing all-dimensional and multi-dimensional visual monitoring of photovoltaic power station and equipment information, providing a panoramic visual monitoring interface, the monitoring interface providing comprising: Global situation overview, namely, taking a GIS map as a core to display the distribution, real-time total power, total daily power generation and equivalent carbon emission reduction of all distributed power stations; site level detail monitoring, namely, displaying full-dimensional information of each power station, including an electric topological graph, a real-time power generation curve, current and voltage of each branch, inverter efficiency and equipment state; The multidimensional data fusion display, namely superposing and displaying the power generation data and the real-time meteorological data and electricity price information to reflect the relation between the environment and the income; The monitoring center actively pulls or passively receives data from the data acquisition module and the data analysis module, renders and displays the content, adopts a modularized and configurable instrument panel, supports user-defined attention indexes, realizes linkage of the data and the graph, and can locate and view detailed information by clicking equipment on the graph.

Description

Distributed photovoltaic intelligent operation system Technical Field The invention relates to the technical field of photovoltaic intelligent operation, in particular to a distributed photovoltaic intelligent operation system. Background At present, a distributed photovoltaic intelligent operation platform is constructed based on a basic information management system, a B/S architecture is generally adopted, hardware comprises an application server, a database server and a user access terminal, a software function is arranged around an operation whole process to form a core module, specifically an information maintenance module, an operation management module, a monitoring center module, a data analysis module, an alarm management module, an inspection maintenance module and a hidden danger maintenance work sheet, wherein the information maintenance module is responsible for power station and equipment basic information maintenance and equipment grouping and main line diagram management, the operation management module is responsible for customer management, electric charge accounting, settlement configuration and business auditing, the monitoring center module supports company, site and equipment multidimensional real-time monitoring of equipment operation states, the data analysis module is used for realizing statistics of standard values, analysis after-casting, environmental analysis and discrete rate analysis, the alarm management module is used for triggering abnormal alarms through rule configuration, and the hidden danger inspection maintenance module is planned and regularly inspected and processed. However, the existing platform still has obvious technical short plates in large-scale application, is difficult to adapt to the fine requirements of distributed photovoltaic power station decentralized layout and multi-scene operation, and has the advantages of firstly, information scattering, high maintenance cost, multiple independent monitoring of each power station, non-uniform information standard and data format, incapability of forming a global unified view, high cross-power station data interaction and integration maintenance cost, secondly, single data dimension, insufficient systematic analysis, limited data acquisition of independent power stations, lack of mass data support, incapability of carrying out deep standard comparison analysis and multi-factor system analysis prediction, thirdly, low intelligent degree, passive operation and maintenance, fault alarm only dependent on threshold triggering, no equipment degradation prediction capability, operation and maintenance dependent on manual field investigation, response delay and high cost. Disclosure of Invention The invention provides a distributed photovoltaic intelligent operation system, which realizes deep analysis and accurate prediction of power station performance and transformation of a distributed photovoltaic power supply by constructing a unified data standard and centralized architecture, introducing an intelligent algorithm model and deploying a cluster collaborative optimization strategy so as to solve the problems in the background technology. In order to achieve the above purpose, the technical scheme of the invention is as follows: a distributed photovoltaic intelligent operation system comprises a data acquisition module, a data analysis module, an alarm management module and a patrol maintenance module; Each module performs data storage and data connection and data exchange through a unified data service layer; The data acquisition module is internally provided with a communication protocol driving library, can be connected with inverters, box-type transformers, intelligent electric meters, weather stations and environment sensors of different brands and models stably, and is used for directly interacting with various devices and sensors of a photovoltaic power station to acquire heterogeneous operation data in a unified and real-time manner; The data analysis module is used for filtering, cleaning and formatting the collected heterogeneous operation data and intelligently analyzing according to various parameter indexes, operation environment and weather conditions; The alarm management module receives heterogeneous operation data from the data acquisition module and an intelligent analysis result of the data analysis module, integrates the heterogeneous operation data and the intelligent analysis result of the data analysis module, judges priority of the heterogeneous operation data and the intelligent analysis result, and further drives alarm notification and subsequent operation and maintenance processes to ensure that an abnormality is found and responded in time; the inspection maintenance module is used for converting the alarm notification into a maintenance work order to periodically inspect the equipment and maintain the equipment with abnormality. Preferably, the data acquired by the data acquisition module