A remote energy storage operation and maintenance control system for photovoltaic thermal power stations

Abstract

The invention discloses a remote energy storage operation and maintenance control system for a photovoltaic thermal power station, which relates to the technical field of energy storage control. The power station operation data of a plurality of photovoltaic thermal power stations are collected, a communication path of each photovoltaic thermal power station is established for uploading the power station operation data, a corresponding task to be operated is generated according to the power station operation data, the task to be operated is disassembled into a plurality of sub-tasks and their complexity is calculated, local processing or cloud processing is determined according to the complexity of the sub-tasks, all sub-tasks of the same task to be operated after completing local processing and cloud processing are subjected to feature analysis to obtain the operation characteristics and energy storage characteristics of each photovoltaic thermal power station, a power station operation fault diagnosis node and a power station energy storage status monitoring node are constructed to obtain the operation fault and energy storage change trend of each photovoltaic thermal power station, remote operation and maintenance and repair of photovoltaic thermal power stations with operation faults are carried out, and corresponding management measures are taken according to the energy storage change trend.

Description

Technical Field

[0001] The present invention relates to the field of energy storage control technology, and in particular to a remote energy storage operation and maintenance control system for a photovoltaic thermal power station. Background Art

[0002] With the continuous development of photovoltaic and solar thermal power generation technology, the scale and number of photovoltaic and solar thermal power stations have increased year by year. As an important part of photovoltaic and solar thermal power stations, energy storage systems play a role in balancing power generation and electricity demand and improving energy efficiency. However, the existing energy storage system operation and maintenance control has certain limitations, such as unstable data communication, insufficient data processing capabilities, and low fault diagnosis efficiency, which leads to low operation and maintenance efficiency of photovoltaic and solar thermal power stations and frequent safety hazards. Therefore, how to control the energy storage of photovoltaic and solar thermal power stations has become a top priority. Summary of the invention

[0003] In order to solve the above problems, the purpose of the present invention is to provide a remote energy storage operation and maintenance control system for a photovoltaic thermal power station.

[0004] The object of the present invention can be achieved by the following technical solutions: A remote energy storage operation and maintenance control system for a photovoltaic thermal power station, comprising a cloud platform, wherein the cloud platform is communicatively connected with a data acquisition module, a data operation module, an energy storage monitoring module and an operation and maintenance control module;

[0005] The data acquisition module is used to collect the power station operation data of several photovoltaic thermal power stations in real time, and establish a communication path between each photovoltaic thermal power station and the cloud platform, and upload the power station operation data to the cloud platform through the respective communication paths;

[0006] The data operation module is composed of a task unit, an edge computing unit, a central server and a data analysis unit;

[0007] The task unit is used to generate corresponding tasks to be operated according to the power station operation data of each photovoltaic thermal power station;

[0008] The edge computing unit is used to decompose the task to be operated into several sub-tasks, calculate the complexity of each sub-task, upload the sub-tasks whose complexity meets the expected complexity to the central server, and locally process the sub-tasks whose complexity does not meet the expected complexity;

[0009] The central server is used to perform cloud processing on the received sub-tasks;

[0010] The data analysis unit is used to perform feature analysis on all sub-tasks of the same task to be operated after local processing and cloud processing are completed, thereby obtaining the operation characteristics and energy storage characteristics corresponding to each photovoltaic thermal power station;

[0011] The energy storage monitoring module is used to construct corresponding power station operation fault diagnosis nodes and power station energy storage status monitoring nodes according to the operation characteristics and energy storage characteristics of each photovoltaic thermal power station, so as to obtain the operation fault and energy storage change trend of each photovoltaic thermal power station;

[0012] The operation and maintenance control module is used to perform remote operation and maintenance on each photovoltaic thermal power station with an operating fault, and to take corresponding management measures according to the energy storage change trend of each photovoltaic thermal power station.

[0013] Furthermore, the operation data of each photovoltaic and thermal power station is collected in real time, and a communication path is established between each photovoltaic and thermal power station and the cloud platform. The process of uploading the operation data of the power station to the cloud platform through the respective communication paths includes:

[0014] A plurality of photovoltaic thermal power stations are numbered and recorded as i, i=1, 2, 3, ..., n, where n is a natural number greater than 0, and different types of data acquisition devices are arranged at each photovoltaic thermal power station. The corresponding power station operation data is collected in real time through the data acquisition device arranged at each photovoltaic thermal power station, and the power station operation data includes first operation data and second operation data;

[0015] Configure network communication equipment at each photovoltaic thermal power station, and the photovoltaic thermal power station configures corresponding communication parameters according to its own power station load, and enters the communication parameters into its own configured network communication equipment. The network communication equipment builds the communication path between its corresponding photovoltaic thermal power station and the cloud platform according to the received communication parameters, and obtains the GPS position of each photovoltaic thermal power station as the path identity credential of the corresponding communication path;

[0016] Determine whether the communication path configured by the photovoltaic thermal power station according to the communication parameters is a stable path, and decide whether to optimize the corresponding communication path according to the judgment result;

[0017] When the communication path of the photovoltaic thermal power station is a stable path, the power station operation data of the photovoltaic thermal power station is uploaded to the cloud platform through the stable path for storage, and the stable path is monitored for real-time communication. When the communication path of the photovoltaic thermal power station is not a stable path, the current communication path is optimized.

[0018] Furthermore, the process of generating corresponding tasks to be operated according to the power station operation data of each photovoltaic thermal power station includes:

[0019] Several initial operation task files are set in the task unit, each operation task file is set with a corresponding data entry format, and the power station operation data of each photovoltaic thermal power station stored in the cloud platform is used as the data to be entered in the operation task file, and it is judged whether the data format of the data to be entered conforms to the data entry format;

[0020] If so, the data to be entered is directly imported into any unedited operation task file. When all the data to be entered is imported into the operation task file, the corresponding photovoltaic thermal power station's tasks to be operated are generated; if not, the data format of the data to be entered is converted into a data entry format and imported into an unedited operation task file, and the corresponding tasks to be operated are generated, and the path identity certificate of the stable path corresponding to each photovoltaic thermal power station is used as the task index certificate of the tasks to be operated.

[0021] Furthermore, the task to be operated is decomposed into several sub-tasks, and the complexity of each sub-task is calculated. The sub-tasks whose complexity meets the expected complexity are uploaded to the central server, and the sub-tasks that do not meet the expected complexity are processed locally. The process includes:

[0022] The edge computing unit decomposes the pending tasks generated by the operation data of each photovoltaic thermal power station into several sub-tasks, and sets complexity indicators for measuring the complexity of the sub-tasks. The complexity indicators include task volume, memory usage, execution time, and network bandwidth usage. The complexity of the sub-task is calculated according to the number of complexity indicators that the sub-task meets.

[0023] The complexity of the sub-task is represented by a complex measurement score, which is recorded as Score, as follows:

[0024] When all complexity indicators of the sub-task are met, assign Score = 4;

[0025] When the complexity index of the sub-task meets only any three conditions, the value Score = 3 is assigned;

[0026] When the complexity index of the sub-task meets only any two conditions, assign Score = 2;

[0027] When only one of the complexity indicators of the sub-task is satisfied, Score = 1 is assigned;

[0028] When all complexity indicators of the sub-task are not met, Score = 0 is assigned;

[0029] Determine whether the complexity of the sub-task meets the expected complexity. The judgment process is as follows:

[0030] When the complexity measurement score Score of the sub-task is 0, 1, or 2, it is determined that the complexity of the current sub-task meets the expected complexity, and all sub-tasks that meet the expected complexity are uploaded to the central server;

[0031] When the complexity measurement score Score of the sub-task is 3 or 4, it is judged that the complexity of the current sub-task does not meet the expected complexity, and the sub-task is processed locally. Several data segments corresponding to the sub-task are generated through local processing. All data segments after local processing of the same sub-task are integrated to generate a local segment set of the corresponding sub-task.

[0032] Furthermore, the process of the central server performing cloud processing on the received sub-tasks includes:

[0033] The server resources configured at the dispatch center server perform cloud processing on the received sub-tasks, generate the sub-tasks at the central server into corresponding data segments, integrate all data segments of the same sub-task at the central server, and then generate a cloud segment set of the corresponding sub-task.

[0034] Furthermore, the process of performing feature analysis on all sub-tasks of the same pending task after local processing and cloud processing, and then obtaining the operation characteristics and energy storage characteristics corresponding to each photovoltaic thermal power station includes:

[0035] Integrate the local segment set generated after the same sub-task completes local processing, and the cloud segment set generated after the cloud processing completes, and then generate a comprehensive individual segment set corresponding to each sub-task, and integrate the comprehensive individual segment sets of several sub-tasks included in the same pending task corresponding to the photovoltaic thermal power station, and then generate a comprehensive overall segment set corresponding to each pending task;

[0036] A feature matching library is set up, in which sub-operation feature information for characterizing the photovoltaic thermal power station under different operating conditions and sub-energy storage feature information for characterizing the photovoltaic thermal power station under different energy storage periods are stored, and the comprehensive overall word segment set corresponding to each task to be operated is input into the feature matching library, and then the sub-operation feature information and sub-energy storage feature information of each task to be operated under the corresponding operating condition in the feature matching library are matched and obtained, and all the matched sub-operation feature information are integrated to generate the operation characteristics of the corresponding photovoltaic thermal power station, and all the matched sub-energy storage feature information are integrated to generate the energy storage characteristics of the corresponding photovoltaic thermal power station.

[0037] Furthermore, according to the operation characteristics and energy storage characteristics of each photovoltaic thermal power station, the corresponding power station operation fault diagnosis node and power station energy storage status monitoring node are respectively constructed, and the process of obtaining the operation fault and energy storage change trend of each photovoltaic thermal power station includes:

[0038] Construct a power station operation fault diagnosis node to perform data mining on the operation characteristics of each photovoltaic thermal power station, and then obtain the characteristic coefficients corresponding to the operation characteristics of each photovoltaic thermal power station;

[0039] Set the fault judgment intervals corresponding to different types of operation faults, and the safety judgment intervals corresponding to the photovoltaic thermal power station when there is no operation fault. According to the subordinate relationship between the characteristic coefficient of the photovoltaic thermal power station and the safety judgment interval, judge whether the corresponding photovoltaic thermal power station has an operation fault. According to the subordinate relationship between the characteristic coefficient of the photovoltaic thermal power station and the fault judgment interval, locate all types of operation faults of the corresponding photovoltaic thermal power station;

[0040] A power station energy storage status monitoring node is constructed to traverse the time period interval of the energy storage characteristics of each photovoltaic thermal power station, and then the energy value of each photovoltaic thermal power station in different energy storage time periods is obtained. A two-dimensional coordinate system is established, and the mean value of the energy value in different energy storage time periods is mapped as the ordinate of the two-dimensional coordinate system, and the energy storage time periods corresponding to different ordinates are mapped as the abscissa of the two-dimensional coordinate system, and then the energy storage change trend curve corresponding to each photovoltaic thermal power station is obtained. The energy storage change trend curve is used to record the energy storage change trend of each photovoltaic thermal power station.

[0041] Furthermore, the process of remotely operating and maintaining each photovoltaic thermal power station with operating failures and taking corresponding management measures according to the energy storage change trend of each photovoltaic thermal power station includes:

[0042] Mark each photovoltaic thermal power station with operating faults as an object to be repaired, obtain the fault details of each object to be repaired and input them into the preset maintenance database, match the maintenance data corresponding to the current fault details from the maintenance database, create an operation and maintenance maintenance script for the corresponding photovoltaic thermal power station according to the maintenance data, and perform remote operation and maintenance maintenance, and obtain the maintenance results of the remote operation and maintenance maintenance. When the maintenance result is failure, arrange offline maintenance personnel to go to the corresponding photovoltaic thermal power station for offline maintenance. When the maintenance result is success, end this remote operation and maintenance maintenance;

[0043] The energy storage change trend curve that records the energy storage change trend of each photovoltaic thermal power station is pushed to the power station manager. The power station manager determines whether the energy storage trend of the photovoltaic thermal power station corresponding to the current energy storage change trend curve meets the predetermined target demand based on the energy storage prediction model established by historical data, and takes different management measures according to the judgment results;

[0044] If yes, the management measures are as follows: set a monitoring period, continuously monitor the energy storage status of the photovoltaic thermal power station during the monitoring period, and generate warning information and send it to the cloud platform when the energy storage status is abnormal. The administrator equipped at the cloud platform will review the warning information and forward it to the power station management personnel;

[0045] If not, the management measures are as follows: locate the time period in which the current photovoltaic thermal power station is in an abnormal energy storage state, analyze the causes of the abnormal energy storage state, and change the energy storage situation in the corresponding time period by changing the input and output power of the photovoltaic thermal power station until the energy storage state in the corresponding time period returns to normal.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] 1. By collecting the power station operation data of several photovoltaic thermal power stations, establishing a communication path between each photovoltaic thermal power station and the cloud platform, and adjusting the communication path to a stable path, the power station operation data is uploaded to the cloud platform, which improves the communication situation to a certain extent and lays a good data foundation for the subsequent monitoring of photovoltaic thermal power stations.

[0048] 2. Generate corresponding pending tasks based on the power station operation data of each photovoltaic and thermal power station. The edge computing unit decomposes the pending tasks into several sub-tasks and calculates their complexity. The sub-tasks whose complexity meets the expected complexity are uploaded to the central server. The sub-tasks whose complexity does not meet the expected complexity are processed locally. The central server processes the received sub-tasks in the cloud, and finally integrates all sub-tasks of the same pending task after local and cloud processing, effectively improving the processing capability of power station operation data.

[0049] 3. According to the operating characteristics and energy storage characteristics of each photovoltaic thermal power station, the corresponding power station operation fault diagnosis node and power station energy storage status monitoring node are constructed respectively, so as to obtain the operating fault and energy storage change trend of each photovoltaic thermal power station, conduct remote operation and maintenance inspection on each photovoltaic thermal power station with operating faults, and implement different management measures according to the energy storage change trend of each photovoltaic thermal power station, so as to timely discover the operating abnormalities and energy storage abnormalities of photovoltaic thermal power stations, and correct them as soon as possible, thereby improving the operation and maintenance efficiency of photovoltaic thermal power stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0051] like Figure 1As shown, a remote energy storage operation and maintenance control system for a photovoltaic thermal power station includes a cloud platform, and the cloud platform is communicatively connected with a data acquisition module, a data operation module, an energy storage monitoring module, and an operation and maintenance control module;

[0052] The data acquisition module is used to collect the power station operation data of several photovoltaic thermal power stations in real time, and establish a communication path between each photovoltaic thermal power station and the cloud platform, and upload the power station operation data to the cloud platform through the respective communication paths;

[0053] The data operation module is composed of a task unit, an edge computing unit, a central server and a data analysis unit;

[0054] The task unit is used to generate corresponding tasks to be operated according to the power station operation data of each photovoltaic thermal power station;

[0055] The edge computing unit is used to decompose the task to be operated into several sub-tasks, calculate the complexity of each sub-task, upload the sub-tasks whose complexity meets the expected complexity to the central server, and locally process the sub-tasks whose complexity does not meet the expected complexity;

[0056] The central server is used to perform cloud processing on the received sub-tasks;

[0057] The data analysis unit is used to perform feature analysis on all sub-tasks of the same task to be operated after local processing and cloud processing are completed, thereby obtaining the operation characteristics and energy storage characteristics corresponding to each photovoltaic thermal power station;

[0058] The energy storage monitoring module is used to construct corresponding power station operation fault diagnosis nodes and power station energy storage status monitoring nodes according to the operation characteristics and energy storage characteristics of each photovoltaic thermal power station, so as to obtain the operation fault and energy storage change trend of each photovoltaic thermal power station;

[0059] The operation and maintenance control module is used to perform remote operation and maintenance on each photovoltaic thermal power station with an operating fault, and to take corresponding management measures according to the energy storage change trend of each photovoltaic thermal power station.

[0060] It should be further explained that, in the specific implementation process, the operation data of several photovoltaic and thermal power stations are collected in real time, and a communication path is established between each photovoltaic and thermal power station and the cloud platform. The process of uploading the operation data of the power station to the cloud platform through the respective communication paths includes:

[0061] A number of photovoltaic and solar thermal power stations are numbered and the number is recorded as i, then i=1, 2, 3, ..., n, where n is a natural number greater than 0, and different types of data acquisition devices are arranged at each photovoltaic and solar thermal power station;

[0062] The different types of data collection devices include electric energy meters, temperature sensors, humidity sensors, light intensity sensors and equipment monitoring terminals, and the corresponding power station operation data are collected in real time through the data collection devices arranged at each photovoltaic thermal power station;

[0063] The power station operation data includes first operation data and second operation data;

[0064] Specifically, the operating temperature of the photovoltaic thermal power station is collected through a temperature sensor, the ambient humidity of the photovoltaic thermal power station is collected through a humidity sensor, and the ambient light intensity of the photovoltaic thermal power station is collected through a light intensity sensor; the operating temperature, ambient humidity and ambient light intensity are integrated as the first operating data;

[0065] The operating voltage, operating current and power generation of the photovoltaic thermal power station are collected through the electric energy meter, the working information of the power station equipment of the photovoltaic thermal power station in several operating intervals is obtained through the equipment monitoring terminal, and the operating voltage, operating current, power generation and the working information of the power station equipment of the photovoltaic thermal power station in several operating intervals are integrated as the second operating data;

[0066] Configure network communication equipment at each photovoltaic thermal power station, and the photovoltaic thermal power station configures corresponding communication parameters according to its own power station load, and enters the communication parameters into its own configured network communication equipment. The network communication equipment builds the communication path between its corresponding photovoltaic thermal power station and the cloud platform according to the received communication parameters, and obtains the GPS position of each photovoltaic thermal power station as the path identity credential of the corresponding communication path;

[0067] Determine whether the communication path configured by the photovoltaic thermal power station according to the communication parameters is a stable path, and decide whether to optimize the corresponding communication path according to the judgment result. When the communication path of the photovoltaic thermal power station is a stable path, upload the power station operation data of the photovoltaic thermal power station to the cloud platform through the stable path for storage, and conduct real-time communication monitoring of the stable path;

[0068] When the communication path of the photovoltaic thermal power station is not a stable path, the path optimization of the current communication path is performed;

[0069] The content of judging whether the communication path is a stable path is as follows: setting a test period, performing a communication performance test on each communication path during the test period, and then obtaining the bandwidth utilization, communication delay, packet loss rate and communication interruption frequency corresponding to the communication path;

[0070] Bandwidth utilization, communication delay, packet loss rate and communication interruption frequency are denoted as DK, DL, DB and F respectively. 中断, set the expected bandwidth utilization, delay threshold, packet loss rate threshold and frequency threshold corresponding to the stable path, and record them as DK 期望 ,DL 阈值 , DB 阈值 and F 阈值 ;

[0071] When DK≤DK 期望 , DL ≥ DL 阈值 and DB ≥ DB 阈值 When any of the conditions is satisfied, a determination code 11 corresponding to a type of determination condition of the current communication path is generated; otherwise, a determination code 10 corresponding to a type of determination condition is generated;

[0072] When F 中断 ≥F 阈值 When the current communication path corresponds to the second type of determination condition, a determination code 21 is generated; otherwise, a determination code 20 corresponding to the second type of determination condition is generated;

[0073] Combining the determination codes generated by the first determination condition and the second determination condition, respectively, to generate a determination code set corresponding to each communication path, wherein the determination code set includes <11, 21>, <11, 20>, <10, 21>, and <10, 20>;

[0074] When the determination code set value of the communication path is <10, 20>, the current communication path is determined to be a stable path. Otherwise, when the determination code set value is <11, 21>, <11, 20> and <10, 21>, the current path is determined to be an unstable path.

[0075] The content of the path optimization is as follows: integrating the bandwidth utilization, communication delay, packet loss rate and communication interruption frequency corresponding to all communication paths that are not stable paths as information to be optimized, and inputting the information to be optimized into a preset optimization library;

[0076] The optimization library stores a number of path optimization measures for communication paths corresponding to the information to be optimized, and executes the path optimization measures matched by each communication path in the optimization library, wherein the path optimization measures include replacing network communication equipment, building backup paths, and redesigning the path architecture of the current communication path;

[0077] The content of real-time communication monitoring of the stable path is as follows: the transmission of power station operation data in the stable path is divided into a number of sub-monitoring periods, and whether the communication quality of the stable path in each sub-monitoring period meets the preset required communication quality is determined, and the sub-monitoring period whose communication quality does not meet the required communication quality is identified as a type of abnormal period;

[0078] Count whether an abnormal communication event occurs in each sub-monitoring period, identify the sub-monitoring period where the abnormal communication event occurs as a second-class abnormal period, set the transmission time axis corresponding to the communication path, and take the period where the first-class abnormal period overlaps with the second-class abnormal period on the transmission time axis as the key monitoring period, and take the period where the first-class abnormal period and the second-class abnormal period exclude the key monitoring period as the general monitoring period;

[0079] Prioritize communication monitoring during key monitoring periods and set the monitoring frequency F 重点 , the monitoring frequency set for the general monitoring period is recorded as F 一般 , process abnormal communication events acquired by communication monitoring, locate trigger events where communication quality does not meet required communication quality, and process trigger events, including network congestion, insufficient power supply of network communication equipment, and long-term network maintenance;

[0080] The abnormal communication events include external attacks on the communication path, malware infection, and session hijacking.

[0081] It should be further explained that, in the specific implementation process, the process of generating corresponding tasks to be operated according to the power station operation data of each photovoltaic thermal power station includes:

[0082] Several initial operation task files are set in the task unit, each operation task file is set with a corresponding data entry format, and the power station operation data of each photovoltaic thermal power station stored in the cloud platform is used as the data to be entered in the operation task file, and it is judged whether the data format of the data to be entered conforms to the data entry format;

[0083] If yes, directly import the data to be entered into any unedited operation task file. When all the data to be entered are imported into the operation task file, the operation task to be performed of the corresponding photovoltaic thermal power station is generated;

[0084] If not, the data format of the data to be entered is converted into a data entry format and then imported into the unedited operation task file, and a corresponding task to be operated is generated;

[0085] Among them, the path identity certificate of the stable path corresponding to each photovoltaic thermal power station is used as the task index certificate of the task to be operated, and the task index certificate is the unique identity identification information of each task to be operated.

[0086] It should be further explained that, in the specific implementation process, the task to be operated is decomposed into several sub-tasks, and the complexity of each sub-task is calculated. The sub-tasks whose complexity meets the expected complexity are uploaded to the central server, and the sub-tasks whose complexity does not meet the expected complexity are processed locally. The process includes:

[0087] The edge computing unit decomposes the pending tasks generated by the operation data of each photovoltaic and thermal power station into several sub-tasks, each of which is a component of the original pending task and can be executed independently.

[0088] Set a complexity index for measuring the complexity of the sub-tasks, the complexity index includes the task amount, memory usage, execution time and network bandwidth usage, and calculate the corresponding complexity of the sub-tasks according to the number of complexity indexes that meet the standard;

[0089] The complexity of the sub-task is represented by a complex measurement score, wherein the higher the complex measurement score, the higher the complexity of the corresponding sub-task. The complex measurement score is recorded as Score, which is as follows:

[0090] When all complexity indicators of the sub-task are met, assign Score = 4;

[0091] When the complexity index of the sub-task meets only any three conditions, the value Score = 3 is assigned;

[0092] When the complexity index of the sub-task meets only any two conditions, assign Score = 2;

[0093] When only one of the complexity indicators of the sub-task is satisfied, Score = 1 is assigned;

[0094] When all complexity indicators of the sub-task are not met, Score = 0 is assigned;

[0095] Determine whether the complexity of the sub-task meets the expected complexity. The judgment process is as follows:

[0096] When the complexity measurement score Score of the sub-task is 0, 1, or 2, it is determined that the complexity of the current sub-task meets the expected complexity, and all sub-tasks that meet the expected complexity are uploaded to the central server;

[0097] When the complexity measurement score Score of a sub-task is 3 or 4, it is judged that the complexity of the current sub-task does not meet the expected complexity, and the corresponding sub-task is processed locally. Several data segments corresponding to the sub-task are generated through local processing, and all data segments after local processing of the same sub-task are integrated to generate a local segment set of the corresponding sub-task.

[0098] It should be further explained that, in the specific implementation process, the process of the central server performing cloud processing on the received sub-tasks includes:

[0099] The central server receives all sub-tasks uploaded by the edge computing unit, and dispatches the server resources configured at the central server to perform cloud processing on the received sub-tasks, processes the sub-tasks at the central server into corresponding data segments, integrates all data segments of the same sub-task at the central server, and then generates a cloud segment set of the corresponding sub-task;

[0100] Monitor the cloud environment information when the central server performs cloud processing on the sub-task, and then judge whether the current central server has an abnormality through the cloud environment information. If there are undefined environmental parameters in the cloud environment information, or an information indicator included in the cloud environment information exceeds the preset indicator upper limit, it is judged that the current central server has an abnormality. Otherwise, it is judged that there is no abnormality in the central service;

[0101] When there is an abnormality in the central server, a vulnerability scan is performed on the central server to locate the vulnerability location of the central server and the abnormal event corresponding to the vulnerability location, and the abnormal event is processed. When there is no abnormality in the central server, no operation is performed.

[0102] It should be further explained that, in the specific implementation process, all sub-tasks of the same pending task after local processing and cloud processing are analyzed for characteristics, and the process of obtaining the corresponding operation characteristics and energy storage characteristics of each photovoltaic thermal power station includes:

[0103] Integrate the local segment set generated after the same sub-task completes local processing, and the cloud segment set generated after the cloud processing completes, and then generate a comprehensive individual segment set corresponding to each sub-task, and integrate the comprehensive individual segment sets of several sub-tasks included in the same pending task corresponding to the photovoltaic thermal power station, and then generate a comprehensive overall segment set corresponding to each pending task;

[0104] Setting a feature matching library, wherein the feature matching library stores sub-operation feature information for characterizing the photovoltaic thermal power station under different operating conditions, and stores sub-energy storage feature information for characterizing the photovoltaic thermal power station in different energy storage periods;

[0105] The comprehensive overall word segment set corresponding to each task to be operated is input into the feature matching library, and then the sub-operation feature information and sub-energy storage feature information of each task to be operated under the corresponding operating conditions in the feature matching library are matched, and all the matched sub-operation feature information is integrated to generate the operation characteristics of the corresponding photovoltaic thermal power station, and all the matched sub-energy storage feature information is integrated to generate the energy storage characteristics of the corresponding photovoltaic thermal power station.

[0106] It should be noted that after the comprehensive overall word segment set is input into the feature matching library, the comprehensive overall word segment set is split into several comprehensive individual word segment sets, and the similarity between each comprehensive individual word segment set and the sub-operation feature information and the sub-energy storage feature information in the feature matching library is calculated. The sub-operation feature information and the sub-energy storage feature information with a similarity greater than or equal to a preset matching threshold and the highest similarity value are used as the data matched by the comprehensive individual word segment set, and all the sub-operation feature information and sub-energy storage feature information matched by the same task to be operated are integrated, so as to obtain the operation characteristics and energy storage characteristics of the photovoltaic thermal power station corresponding to the current comprehensive overall word segment, and no operation is performed on the sub-operation feature information and the sub-energy storage feature information with a similarity less than the matching threshold.

[0107] It should be further explained that, in the specific implementation process, according to the operation characteristics and energy storage characteristics of each photovoltaic thermal power station, the corresponding power station operation fault diagnosis node and power station energy storage status monitoring node are respectively constructed, and the process of obtaining the operation fault and energy storage change trend of each photovoltaic thermal power station includes:

[0108] Constructing a power station operation fault diagnosis node, wherein the power station operation fault diagnosis node is used to perform data mining on the operation characteristics of each photovoltaic thermal power station, and then obtain characteristic coefficients corresponding to the operation characteristics in each photovoltaic thermal power station;

[0109] The characteristic coefficient is used to characterize the overall operation status corresponding to the operation of the photovoltaic thermal power station, and the overall operation status includes the operation failure of the photovoltaic thermal power station and the normal operation status of the photovoltaic thermal power station, that is, the photovoltaic thermal power station has not had any operation failure;

[0110] Set the fault judgment intervals corresponding to different types of operation faults, and the safety judgment interval corresponding to the photovoltaic thermal power station when there is no operation fault. According to the subordinate relationship between the characteristic coefficient of the photovoltaic thermal power station and the fault judgment interval, locate all types of operation faults of the corresponding photovoltaic thermal power station;

[0111] When the characteristic coefficient of the photovoltaic thermal power station belongs to a certain fault judgment interval, the operation fault of the corresponding type in the corresponding fault judgment interval is located as the operation fault of the current photovoltaic thermal power station;

[0112] According to the subordinate relationship between the characteristic coefficient of the photovoltaic thermal power station and the safety judgment interval, it is judged whether the corresponding photovoltaic thermal power station has an operation fault;

[0113] When the characteristic coefficient of the photovoltaic thermal power station belongs to the safety judgment interval, it is judged that there is no operation fault in the current photovoltaic thermal power station and the photovoltaic thermal power station is in normal operation; otherwise, it is judged that there is an operation fault in the current photovoltaic thermal power station;

[0114] Construct a power station energy storage state monitoring node, which is used to traverse the energy storage characteristics of each photovoltaic thermal power station during the time period, and then obtain the energy value of each photovoltaic thermal power station in different energy storage periods, establish a two-dimensional coordinate system, map the mean of the energy value in different energy storage periods as the ordinate of the two-dimensional coordinate system, and map the energy storage periods corresponding to different ordinates as the abscissa of the two-dimensional coordinate system, and then obtain the energy storage change trend curve corresponding to each photovoltaic thermal power station;

[0115] The energy storage variation trend curve is used to record the energy storage variation trend of each photovoltaic thermal power station.

[0116] It should be further explained that, in the specific implementation process, the process of remote operation and maintenance of each photovoltaic thermal power station with operating failures and taking corresponding management measures according to the energy storage change trend of each photovoltaic thermal power station includes:

[0117] Mark each photovoltaic thermal power station with an operating fault as an object to be repaired, obtain the fault details corresponding to each object to be repaired, and input the fault details into a preset maintenance database, match the maintenance data corresponding to the current fault details from the maintenance database, and create an operation and maintenance script for the corresponding photovoltaic thermal power station based on the maintenance data;

[0118] Through the operation and maintenance script, remote operation and maintenance of the corresponding photovoltaic thermal power station is carried out, and the maintenance results of the remote operation and maintenance are obtained. When the maintenance result is failure, offline maintenance personnel are arranged to go to the corresponding photovoltaic thermal power station for offline maintenance. When the maintenance result is success, the remote operation and maintenance is ended;

[0119] The energy storage change trend curve that records the energy storage change trend of each photovoltaic thermal power station is pushed to the power station manager. The power station manager determines whether the energy storage trend of the photovoltaic thermal power station corresponding to the current energy storage change trend curve meets the predetermined target demand based on the energy storage prediction model established by historical data, and takes different management measures according to the judgment results;

[0120] If yes, the management measures are as follows: set a monitoring period, continuously monitor the energy storage status of the photovoltaic thermal power station during the monitoring period, and generate warning information and send it to the cloud platform when the energy storage status is abnormal. The administrator equipped at the cloud platform will review the warning information and forward it to the power station management personnel;

[0121] If not, the management measures are as follows: locate the time period in which the current photovoltaic thermal power station is in an abnormal energy storage state, analyze the causes of the abnormal energy storage state, and change the energy storage situation in the corresponding time period by changing the input and output power of the photovoltaic thermal power station until the energy storage state in the corresponding time period returns to normal.

[0122] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A remote energy storage operation and maintenance control system for a photovoltaic thermal power station, comprising a cloud platform, characterized in that: The cloud platform is communicatively connected with a data acquisition module, a data operation module, an energy storage monitoring module and an operation and maintenance control module; The data acquisition module is used to collect the power station operation data of each of the photovoltaic thermal power stations in real time, and establish a communication path between each photovoltaic thermal power station and the cloud platform, and upload the power station operation data to the cloud platform through the respective communication paths; The data operation module is composed of a task unit, an edge computing unit, a central server and a data analysis unit; The task unit is used to generate corresponding tasks to be operated according to the power station operation data of each photovoltaic thermal power station; The edge computing unit is used to decompose the task to be operated into several sub-tasks, calculate the complexity of each sub-task, upload the sub-tasks whose complexity meets the expected complexity to the central server, and locally process the sub-tasks whose complexity does not meet the expected complexity; The central server is used to perform cloud processing on the received sub-tasks; The data analysis unit is used to perform feature analysis on all sub-tasks of the same task to be operated after local processing and cloud processing are completed, and then obtain the operation characteristics and energy storage characteristics corresponding to each photovoltaic thermal power station; The energy storage monitoring module is used to construct corresponding power station operation fault diagnosis nodes and power station energy storage status monitoring nodes according to the operation characteristics and energy storage characteristics of each photovoltaic thermal power station, so as to obtain the operation fault and energy storage change trend of each photovoltaic thermal power station; The operation and maintenance control module is used to perform remote operation and maintenance on each photovoltaic thermal power station with an operating fault, and to take corresponding management measures according to the energy storage change trend of each photovoltaic thermal power station; According to the operation characteristics and energy storage characteristics of each photovoltaic thermal power station, the corresponding power station operation fault diagnosis node and power station energy storage status monitoring node are constructed respectively, and the process of obtaining the operation fault and energy storage change trend of each photovoltaic thermal power station includes: Construct a power station operation fault diagnosis node to perform data mining on the operation characteristics of each photovoltaic thermal power station, and then obtain the characteristic coefficients corresponding to the operation characteristics of each photovoltaic thermal power station; Set the fault judgment intervals corresponding to different types of operation faults, and the safety judgment intervals corresponding to the photovoltaic thermal power station when there is no operation fault. According to the subordinate relationship between the characteristic coefficient of the photovoltaic thermal power station and the safety judgment interval, judge whether the corresponding photovoltaic thermal power station has an operation fault. According to the subordinate relationship between the characteristic coefficient of the photovoltaic thermal power station and the fault judgment interval, locate all types of operation faults of the corresponding photovoltaic thermal power station; A power station energy storage status monitoring node is constructed to traverse the time period interval of the energy storage characteristics of each photovoltaic thermal power station, and then the energy value of each photovoltaic thermal power station in different energy storage time periods is obtained. A two-dimensional coordinate system is established, and the mean value of the energy value in different energy storage time periods is mapped as the ordinate of the two-dimensional coordinate system, and the energy storage time periods corresponding to different ordinates are mapped as the abscissa of the two-dimensional coordinate system, and then the energy storage change trend curve corresponding to each photovoltaic thermal power station is obtained. The energy storage change trend curve is used to record the energy storage change trend of each photovoltaic thermal power station.

2. A remote energy storage operation and maintenance control system for a photovoltaic thermal power station according to claim 1, characterized in that: The process of collecting the operation data of several photovoltaic and thermal power stations in real time, establishing a communication path between each photovoltaic and thermal power station and the cloud platform, and uploading the operation data of the power station to the cloud platform through the respective communication paths includes: A plurality of photovoltaic thermal power stations are numbered and recorded as i, i=1, 2, 3, ..., n, where n is a natural number greater than 0, and different types of data acquisition devices are arranged at each photovoltaic thermal power station. The corresponding power station operation data is collected in real time through the data acquisition device arranged at each photovoltaic thermal power station, and the power station operation data includes first operation data and second operation data; Configure network communication equipment at each photovoltaic thermal power station, and the photovoltaic thermal power station configures corresponding communication parameters according to its own power station load, and enters the communication parameters into its own configured network communication equipment. The network communication equipment builds the communication path between its corresponding photovoltaic thermal power station and the cloud platform according to the received communication parameters, and obtains the GPS position of each photovoltaic thermal power station as the path identity credential of the corresponding communication path; Determine whether the communication path configured by the photovoltaic thermal power station according to the communication parameters is a stable path, and decide whether to optimize the corresponding communication path according to the judgment result; When the communication path of the photovoltaic thermal power station is a stable path, the power station operation data of the photovoltaic thermal power station is uploaded to the cloud platform through the stable path for storage, and the stable path is monitored for real-time communication. When the communication path of the photovoltaic thermal power station is not a stable path, the current communication path is optimized.

3. A remote energy storage operation and maintenance control system for a photovoltaic thermal power station according to claim 2, characterized in that: The process of generating corresponding tasks to be operated according to the power station operation data of each photovoltaic thermal power station includes: Several initial operation task files are set in the task unit, each operation task file is set with a corresponding data entry format, and the power station operation data of each photovoltaic thermal power station stored in the cloud platform is used as the data to be entered in the operation task file, and it is judged whether the data format of the data to be entered conforms to the data entry format; If so, the data to be entered is directly imported into any unedited operation task file. When all the data to be entered is imported into the operation task file, the corresponding photovoltaic thermal power station's tasks to be operated are generated; if not, the data format of the data to be entered is converted into a data entry format and imported into an unedited operation task file, and the corresponding tasks to be operated are generated, and the path identity certificate of the stable path corresponding to each photovoltaic thermal power station is used as the task index certificate of the tasks to be operated.

4. A remote energy storage operation and maintenance control system for a photovoltaic thermal power station according to claim 3, characterized in that: The task to be operated is decomposed into several sub-tasks, and the complexity of each sub-task is calculated. The sub-tasks whose complexity meets the expected complexity are uploaded to the central server, and the sub-tasks that do not meet the expected complexity are processed locally. The process includes: The edge computing unit decomposes the pending tasks generated by the operation data of each photovoltaic thermal power station into several sub-tasks, and sets complexity indicators for measuring the complexity of the sub-tasks. The complexity indicators include task volume, memory usage, execution time, and network bandwidth usage. The complexity of the sub-task is calculated according to the number of complexity indicators that the sub-task meets. The complexity of the sub-task is represented by a complex measurement score, which is recorded as Score, as follows: When all complexity indicators of the sub-task are met, assign Score = 4; When the complexity index of the sub-task meets only any three conditions, the value Score = 3 is assigned; When the complexity index of the sub-task meets only any two conditions, assign Score = 2; When only one of the complexity indicators of the sub-task is satisfied, Score = 1 is assigned; When all complexity indicators of the sub-task are not met, Score = 0 is assigned; Determine whether the complexity of the sub-task meets the expected complexity. The judgment process is as follows: When the complexity measurement score Score of the sub-task is 0, 1, or 2, it is determined that the complexity of the current sub-task meets the expected complexity, and all sub-tasks that meet the expected complexity are uploaded to the central server; When the complexity measurement score Score of the sub-task is 3 or 4, it is judged that the complexity of the current sub-task does not meet the expected complexity, and the sub-task is processed locally. Several data segments corresponding to the sub-task are generated through local processing. All data segments after local processing of the same sub-task are integrated to generate a local segment set of the corresponding sub-task.

5. A remote energy storage operation and maintenance control system for a photovoltaic thermal power station according to claim 4, characterized in that: The process of the central server performing cloud processing on the received sub-tasks includes: The server resources configured at the dispatch center server perform cloud processing on the received sub-tasks, generate the sub-tasks at the central server into corresponding data segments, integrate all data segments of the same sub-task at the central server, and then generate a cloud segment set of the corresponding sub-task.

6. A remote energy storage operation and maintenance control system for a photovoltaic thermal power station according to claim 5, characterized in that: The process of analyzing the characteristics of all sub-tasks of the same pending task after local processing and cloud processing, and then obtaining the corresponding operation characteristics and energy storage characteristics of each photovoltaic thermal power station includes: Integrate the local segment set generated after the same sub-task completes local processing, and the cloud segment set generated after the cloud processing completes, and then generate a comprehensive individual segment set corresponding to each sub-task, and integrate the comprehensive individual segment sets of several sub-tasks included in the same pending task corresponding to the photovoltaic thermal power station, and then generate a comprehensive overall segment set corresponding to each pending task; A feature matching library is set up, in which sub-operation feature information for characterizing the photovoltaic thermal power station under different operating conditions and sub-energy storage feature information for characterizing the photovoltaic thermal power station under different energy storage periods are stored, and the comprehensive overall word segment set corresponding to each task to be operated is input into the feature matching library, and then the sub-operation feature information and sub-energy storage feature information of each task to be operated under the corresponding operating condition in the feature matching library are matched and obtained, and all the matched sub-operation feature information are integrated to generate the operation characteristics of the corresponding photovoltaic thermal power station, and all the matched sub-energy storage feature information are integrated to generate the energy storage characteristics of the corresponding photovoltaic thermal power station.

7. A remote energy storage operation and maintenance control system for a photovoltaic thermal power station according to claim 6, characterized in that: The process of remote operation and maintenance of each photovoltaic thermal power station with operating failures and taking corresponding management measures according to the energy storage change trend of each photovoltaic thermal power station includes: Mark each photovoltaic thermal power station with operating faults as an object to be repaired, obtain the fault details of each object to be repaired and input them into the preset maintenance database, match the maintenance data corresponding to the current fault details from the maintenance database, create an operation and maintenance maintenance script for the corresponding photovoltaic thermal power station according to the maintenance data, and perform remote operation and maintenance maintenance, and obtain the maintenance results of the remote operation and maintenance maintenance. When the maintenance result is failure, arrange offline maintenance personnel to go to the corresponding photovoltaic thermal power station for offline maintenance. When the maintenance result is success, end this remote operation and maintenance maintenance; The energy storage change trend curve that records the energy storage change trend of each photovoltaic thermal power station is pushed to the power station manager. The power station manager determines whether the energy storage trend of the photovoltaic thermal power station corresponding to the current energy storage change trend curve meets the predetermined target demand based on the energy storage prediction model established by historical data, and takes different management measures according to the judgment results; If yes, the management measures are as follows: set a monitoring period, continuously monitor the energy storage status of the photovoltaic thermal power station during the monitoring period, and generate warning information and send it to the cloud platform when the energy storage status is abnormal. The administrator equipped at the cloud platform will review the warning information and forward it to the power station management personnel; If not, the management measures are as follows: locate the time period in which the current photovoltaic thermal power station is in an abnormal energy storage state, analyze the causes of the abnormal energy storage state, and change the energy storage situation in the corresponding time period by changing the input and output power of the photovoltaic thermal power station until the energy storage state in the corresponding time period returns to normal.

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