A data query monitoring system
By designing a data query monitoring system in the power system and judging the island status and load status of the new energy system, the problem of lack of in-depth analysis of data monitoring of the power system in the existing technology is solved, the continuity and coordination of power supply are improved, and the Normal power use and economic benefits of the receiving terminal.
Patent Information
- Application Number
- CN202411240967.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-05
- Publication Date
- 2024-12-20
- Estimated Expiration
- 2044-09-05
AI Technical Summary
The existing technology lacks in-depth analysis of abnormal situations in power system data monitoring, resulting in reduced power supply continuity and reliability, making it difficult to ensure the normal operation of the power system, especially when the coordination between the traditional power system and the new energy system is insufficient, which affects the Normal power use and economic losses of the receiving terminal.
A data query monitoring system was designed, including a data query module, a passive judgment module, an active judgment module and an island status monitoring module. By querying the operating data of traditional power and new energy systems, it is determined whether the new energy system has entered an island status and evaluated it. Its load state and regulation subsystem ensures continuity and coordination of power supply.
It improves the power supply efficiency of the power system and the normal power use of the receiving terminal, reduces economic losses, ensures the coordination between the traditional power system and the new energy system, and ensures the normal life of the receiving terminal.
Smart Images
Figure CN118763811B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of data query monitoring, and in particular to a data query monitoring system. Background Art
[0002] The power system is the cornerstone of modern society. It is not only related to all aspects of daily life, but also directly affects the stable operation of industry, commerce and the entire society. A large amount of data information will be generated during the operation of the power system, including key parameters such as current, voltage, power, load, frequency, etc. Real-time monitoring and analysis of this data can timely detect abnormal conditions in the system, prevent accidents, and ensure the stable power supply of the power grid. Therefore, querying and monitoring the data of the power system plays a vital role. This is not only a need for the safe operation of the power system itself, but also a necessary condition to ensure social stability and economic development.
[0003] The prior art, such as the invention patent application with the announcement number CN113746202A, discloses a power monitoring system, which includes an information collection module, an information processing module, a trend simulation module and a signal management module. The invention achieves the technical effect of being able to automatically predict the trend of the power system, reducing the workload of the staff and reducing the failure rate of the power system.
[0004] Prior art, such as the power data monitoring method and monitoring system disclosed in the invention application patent with announcement number: CN117134502B, solves the problem of not taking into account the specific abnormal conditions of the corresponding power nodes. By monitoring the power load parameters of different power nodes and analyzing the monitoring parameters, it is determined whether the corresponding power node fluctuates abnormally. Subsequently, the voltage parameters generated by the abnormal node are determined, and then the voltage parameters are analyzed in turn to determine the abnormal fluctuation segment and the temperature parameters corresponding to the corresponding fluctuation segment. A comprehensive analysis is then performed to confirm whether there is an excessive abnormal situation. This analysis and processing method is used to fully improve the overall monitoring effect of different power nodes, improve the accuracy of monitoring judgment, and confirm the corresponding abnormal fluctuation time in turn, and then confirm whether the abnormal fluctuation time intersects. By analyzing the specific intersection situation, it can be determined whether the abnormal node is affected, thereby improving the accuracy of analysis.
[0005] In combination with the above scheme, it is found that the existing technology has limitations in data monitoring of the power grid, which is specifically reflected in: most of the existing technologies monitor the data of the power system to determine whether there is an abnormality in the power grid, but the analysis of the post-abnormal processing of the power system is not in-depth enough, which destroys the continuity and reliability of power supply, thereby reducing the power supply efficiency of the power system, and it is difficult to ensure the normal power consumption of the receiving terminal of the power system. At the same time, the correlation between the traditional power system and the new energy system is not paid much attention. When the operating quality of the traditional power system is not high, the receiving terminal of the traditional power system can generally be powered by the new energy system. The existing technology ignores this level, which reduces the coordination of power supply of the traditional power system, thereby adversely affecting the quality of the equipment of the receiving terminal of the traditional power system, increasing economic losses, and affecting the normal power consumption of the receiving terminal, affecting the normal life of the receiving terminal. Summary of the invention
[0006] The purpose of the present invention is to provide a data query monitoring system to solve the problems existing in the background technology.
[0007] To solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a data query monitoring system, including: a data query module, used to query the operation data and equipment data of the traditional power system from the power operation system, and query the operation data and equipment data of the new energy system.
[0008] The passive judgment module of the new energy system is used to judge whether the new energy system starts the island state according to the operation data and equipment data of the traditional power system and the operation data and equipment data of the new energy system. If the new energy system starts the island state, the regulation subsystem of the new energy system is analyzed, and the load state of the regulation subsystem of the new energy system in the island state is analyzed. If the load state is full load, the execution terminal 1 is run; otherwise, the power supply equipment of the regulation subsystem of the new energy system is evaluated, and the execution terminal 2 is run.
[0009] The new energy system active judgment module is used to obtain the maintenance data of the traditional power system, analyze the regulation subsystem of the new energy system and its corresponding preset parameters, and run the execution terminal 1 at the island starting point of the regulation subsystem of the new energy system.
[0010] The execution terminal 1 is used for supplying power to various power equipments of the receiving terminal of the traditional power system through the regulation subsystem of the new energy system.
[0011] The execution terminal 2 is used for the regulation subsystem of the new energy system to supply power to each power supply device.
[0012] The island state monitoring module is used to monitor the operation of the island state of the new energy system, obtain monitoring data, and set the monitoring frequency of the island state of the new energy system accordingly.
[0013] The beneficial effects of the present invention are as follows: (1) In the data query module, the present invention queries the operation data and equipment data of the traditional power system from the power operation system, and queries the operation data and equipment data of the new energy system, thereby providing data support for the subsequent judgment of the island state of the new energy passive startup.
[0014] (2) The present invention first evaluates the operating quality coefficient of the traditional power system and the operating quality coefficient of the new energy system in the passive judgment module of the new energy system, and then determines whether the island state of the new energy system is activated through the island state judgment model. On the one hand, it ensures the continuity and reliability of power supply, thereby improving the power supply efficiency of the power system and ensuring the normal power consumption of the receiving terminal of the power system. On the other hand, it improves the coordination between the traditional power system and the new energy system, thereby avoiding adverse effects on the quality of the equipment of the receiving terminal of the traditional power system, reducing economic losses, and ensuring the normal life of the receiving terminal.
[0015] (3) The present invention evaluates the regulation subsystem of the new energy system and its corresponding preset parameters in the active judgment module of the new energy system according to the maintenance data of the traditional power system, and realizes the continuous power supply of the new energy when the traditional power system is under maintenance, thereby improving the continuity of the power supply of the power system. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0017] Figure 1 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION
[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0019] Reference Figure 1As shown, the present invention provides a data query monitoring system, including: a data query module, a new energy system passive judgment module, a new energy system active judgment module, an execution terminal 1, an execution terminal 2 and an island status monitoring module.
[0020] The data query module is used to query the operation data and equipment data of the traditional power system from the power operation system, and query the operation data and equipment data of the new energy system.
[0021] In a specific embodiment of the present invention, the operating data of the traditional power system includes the power supply in a set detection cycle, the current and voltage at each time point, and the actual power usage of the receiving terminal. The equipment data includes the characteristic values of each indicator data of each power equipment. The operating data of the new energy system includes the power generation parameters and power generation of each execution subsystem in each detection cycle. The equipment data of the new energy system includes the characteristic values of each apparent data of each power generation equipment of each execution subsystem in each detection cycle.
[0022] It should be noted that the power generation parameters of each execution subsystem of the new energy system in each detection cycle, the power generation parameter specifically refers to one of light intensity, wind speed, and water level difference. If the execution subsystem is a solar power generation subsystem, the power generation parameter is the light intensity; if the execution subsystem is a wind power generation subsystem, the power generation parameter is the wind speed; if the execution subsystem is a hydropower generation subsystem, the power generation parameter is the water level difference.
[0023] It should be noted that the various indicator data include but are not limited to current, voltage, various apparent defects and other parameters that affect the operation of power equipment. The various apparent defects can be specifically understood as corrosion, bulging, dents and the like.
[0024] It should be understood that the existing technology for identifying various types of surface defects through image recognition technology is relatively mature and will not be elaborated here.
[0025] It should be noted that the various surface data include dirt, corrosion, cracks, etc.
[0026] The present invention queries the operation data and equipment data of the traditional power system from the power operation system in the data query module, and queries the operation data and equipment data of the new energy system, thereby providing data support for the subsequent judgment of the island state of the new energy passive startup.
[0027] The passive judgment module of the new energy system is used to judge whether the new energy system has started the island state based on the operating data, equipment data of the traditional power system and the operating data and equipment data of the new energy system. If the new energy system has started the island state, the regulation subsystem of the new energy system is analyzed, and the load state of the regulation subsystem of the new energy system in the island state is analyzed. If the load state is full load, the execution terminal 1 is run; otherwise, the power supply equipment of the regulation subsystem of the new energy system is evaluated, and the execution terminal 2 is run.
[0028] In a specific embodiment of the present invention, the specific method for determining whether the new energy system starts the island state is as follows: the operation quality coefficient of the traditional power system is evaluated based on the operation data and equipment data of the traditional power system. .
[0029] Evaluate the operation quality coefficient of the new energy system based on the operation data and equipment data of the new energy system .
[0030] Import the operation quality coefficient of the traditional power system and the operation quality coefficient of the new energy system into the island state judgment model, and output the island state start value of the new energy system ,in , They are respectively represented by the operation quality coefficient threshold of the traditional power system and the operation quality coefficient threshold of the new energy system stored in the database. , Represented as logical symbols and, and, or, respectively.
[0031] If the island state start value of the new energy system is 1, it is judged that the new energy system starts the island state. Otherwise, it is judged that the new energy system does not start the island state. When the island state start value of the new energy system is -1, an early warning is issued to the management personnel of the power system.
[0032] In a specific embodiment of the present invention, the operation quality coefficient of the traditional power system is evaluated. The specific evaluation method is as follows: extract the power supply of the set detection cycle and the actual power consumption of the receiving terminal from the operation data of the traditional power system, subtract the actual power consumption of the receiving terminal from the power supply of the traditional power system to obtain the transmission loss power of the traditional power system. .
[0033] Extract the current and voltage at each time point of the set detection cycle from the operating data of the traditional power system, and evaluate the stability coefficient of the traditional power system .
[0034] In a specific embodiment of the present invention, the specific evaluation method of the stability coefficient of the traditional power system is as follows: based on the current and voltage of the traditional power system at each time point in a set detection period, with the time point as the x-axis and the current and voltage as the y-axis, the current straight line and voltage straight line of the traditional power system in the set detection period are fitted, and then the current and voltage straight line graph of the traditional power system in the set detection period is obtained.
[0035] Obtain the slope of the current and voltage lines of the traditional power system in the set detection period to evaluate the stability coefficient of the traditional power system ,in , are the slopes of the current straight line and voltage straight line of the traditional power system in the set detection period, , They are respectively represented as predefined reference current straight line slope interval and reference voltage straight line slope interval.
[0036] Extract the characteristic values of each indicator data of each power equipment from the equipment data of the traditional power system , combined with the qualified characteristic value interval of each indicator data of each power equipment stored in the database ,in is the number of each electrical equipment, , is any integer greater than 2, is the number of each indication data, , is any integer greater than 2.
[0037] Evaluating the Operation Quality Factor of Traditional Power Systems ,in The per unit transmission duration allowed power consumption stored in the database. To set the duration of the detection cycle, , They are respectively represented by the allowable current abnormal area and the allowable voltage abnormal area stored in the database, , They are respectively the abnormal current area and abnormal voltage area of the traditional power system in the set detection cycle, is the equipment operation quality coefficient of the traditional power system, ,in , They are the number of power equipment and the number of indicator data respectively.
[0038] It should be noted that, in combination with the set current A and set voltage B of the traditional power system stored in the database, a reference current linear function y=A and a reference voltage linear function y=B corresponding to the traditional power system are respectively constructed.
[0039] According to the current and voltage straight line diagram, reference current straight line function and reference voltage straight line function of the traditional power system in the set detection period, the current abnormal area of the traditional power system in the set detection period is obtained. and voltage abnormal area .
[0040] It should be understood that the current abnormal area is specifically the area formed by the current straight line and the reference current straight line function, and the voltage abnormal area is specifically the area formed by the voltage straight line and the reference voltage straight line function.
[0041] It should be understood that the allowable power loss per unit time of transmission is specifically set by the power system managers, and the reference current line slope interval and the reference voltage line slope interval are also set by the power system managers. The closer the current line slope is to 0, the more stable the current is. For example, in order to improve the current stability of traditional power systems, the reference current line slope interval can be set to -0.1 to 0.1.
[0042] It should be noted that the allowable current abnormal area and the allowable voltage abnormal area stored in the database are specifically set by the management personnel of the power system. For example, in order to improve the transmission quality of the traditional power system, the allowable current abnormal area and the allowable voltage abnormal area can be set to 0. No specific restrictions are made here.
[0043] In a specific embodiment of the present invention, the operating quality coefficient of the new energy system is evaluated. The specific evaluation method is: extract the power generation parameters and power generation of each execution subsystem in each detection cycle from the operation data of the new energy system , combined with the target power generation corresponding to the unit power generation parameters stored in the database, the target power generation of each execution subsystem of the new energy system in each detection cycle is obtained ,in is the number of each execution subsystem, , is any integer greater than 2, is the number of each detection cycle, , is any integer greater than 2.
[0044] With the detection period as the t-axis and the power generation as the q-axis, the power generation curve of each execution subsystem of the new energy system is drawn, and the peak point is obtained, which is recorded as the turning point. The power generation of a certain detection period is randomly selected from the negative direction of the t-axis of the turning point. If the power generation of the detection period is less than the power generation of the turning point, the type of the turning point is recorded as extremely large, otherwise, the type of the turning point is recorded as extremely small, and then the turning points and their types of each execution subsystem of the new energy system are obtained.
[0045] Evaluate the historical reference turning points and their types of each execution subsystem of the new energy system.
[0046] It should be noted that, combined with the power generation of each execution subsystem of the new energy system corresponding to each detection cycle in each batch stored in the database, similarly, the turning points and types of each execution subsystem of the new energy system in each batch are analyzed, and the total number of batches of turning points of each execution subsystem of the new energy system is mapped, and the turning point with the largest total number of batches is selected as the historical reference turning point, and its corresponding type is obtained, so as to obtain the historical reference turning points and types of each execution subsystem of the new energy system.
[0047] Based on the set detection cycle of the traditional power system, the turning points and their types of each execution subsystem of the new energy system are compared with the historical reference turning points and their types to evaluate the power generation trend index of each execution subsystem of the new energy system. .
[0048] It should be noted that if the turning point type of a certain execution subsystem of the new energy system is extremely large, the type of the historical reference turning point is also extremely large, and the set detection period of the traditional power system is before the turning point and also before the historical reference turning point, then the power generation trend index of the execution subsystem of the new energy system is recorded as G, otherwise, it is recorded as G'.
[0049] If the turning point type of a certain execution subsystem of the new energy system is extremely small, the type of the historical reference turning point is also extremely small, and the set detection period of the traditional power system is after the turning point and also after the historical reference turning point, then the power generation trend index of the execution subsystem of the new energy system is recorded as G, otherwise, it is recorded as G'.
[0050] When the turning point type of a certain execution subsystem of the new energy system is inconsistent with the type of the historical reference turning point, the type of the historical reference turning point of the execution subsystem of the new energy system shall be used as the basis. If the type of the historical reference turning point of a certain execution subsystem of the new energy system is extremely large, and the set detection period is before the turning point, the power generation trend index of the execution subsystem of the new energy system shall be recorded as G''; otherwise, it shall be recorded as G'''. When the type of the historical reference turning point of a certain execution subsystem of the new energy system is extremely small, the power generation trend index of the execution subsystem of the new energy system shall be analyzed in the same way.
[0051] Get the power generation trend index of each execution subsystem of the new energy system ,in The value of is G or G' or G'' or G''', where G>G''>G'''>G'.
[0052] Extract the characteristic values of each apparent data of each power generation equipment of each execution subsystem in each detection cycle from the equipment data of the new energy system, and evaluate the operation quality coefficient of each execution subsystem of the new energy system by combining the appropriate characteristic value interval of each apparent data of each power generation equipment stored in the database , where k is the number of detection cycles, is the equipment operation quality coefficient of the bth execution subsystem of the new energy system.
[0053] It should be noted that the equipment operation quality coefficients of each execution subsystem of the new energy system are obtained by analysis in the same way as the analysis method of the equipment operation quality coefficients of the traditional power system.
[0054] The operation quality coefficient of each execution subsystem of the new energy system is compared with the predefined operation quality coefficient threshold. If the operation quality coefficient of a certain execution subsystem of the new energy system is greater than or equal to the operation quality coefficient threshold, the operation quality coefficient of the new energy system is recorded as R, otherwise, it is recorded as R', and the operation quality coefficient of the new energy system is obtained. .
[0055] It should be noted that the operating quality coefficient of the new energy system The value of is R or R'.
[0056] In a specific embodiment of the present invention, the regulation subsystem of the new energy system is analyzed, and the load state of the regulation subsystem of the new energy system in an island state is analyzed. The specific analysis method is: the operation quality coefficients of each execution subsystem of the new energy system are compared with each other. If the operation quality coefficient of a certain execution subsystem is the largest, then the execution subsystem of the new energy system is used as the regulation subsystem of the new energy system.
[0057] The power generation of each execution subsystem of the new energy system corresponding to each detection cycle in each batch is obtained from the power operation system, and the power generation of the regulation subsystem of the new energy system in each associated cycle of the set detection cycle in each batch is obtained, and they are summarized to obtain the associated total power generation of each batch, and the average is processed to obtain the associated total power generation of the regulation subsystem of the new energy system, and the average is added to the storage power of the new energy system to obtain the associated total power supply of the regulation subsystem of the new energy system.
[0058] It should be noted that the associated cycles specifically refer to the detection cycles after the set detection cycle corresponding to the reference correction time of the traditional power system, wherein the reference correction time can be based on the historical average repair time of the traditional power system.
[0059] The actual power usage of the receiving terminal corresponding to the traditional power system in the set detection period is compared with the total power supply associated with the regulation subsystem of the new energy system. If the actual power usage of the receiving terminal corresponding to the traditional power system in the set detection period is less than the total power supply associated with the regulation subsystem of the new energy system, it is determined that the load state of the regulation subsystem of the new energy system in the island state is fully loaded.
[0060] In a specific embodiment of the present invention, the specific evaluation method of evaluating each power supply device of the regulation subsystem of the new energy system is: obtaining the number of associated nodes of each power device of the receiving terminal of the traditional power system from the database , Power outage threat factor and duration of use , and import it into the power supply demand index evaluation model to output the power supply demand index of each power equipment at the receiving terminal of the traditional power system, where is the number of each power equipment at the receiving terminal, , is any integer greater than 2.
[0061] It should be noted that the power supply demand index evaluation model is specifically as follows: ,in is the power demand index of the hth power equipment at the receiving terminal of the traditional power system, It is the rated usage time of each power device of the receiving terminal of the traditional power system stored in the database.
[0062] The power demand of each power device at the receiving terminal of the traditional power system is obtained, and the power devices at the receiving terminal of the traditional power system are sorted in descending order according to the power supply demand index, and the power supply devices at the receiving terminal of the traditional power system are selected as the power supply devices of the regulation subsystem of the new energy system.
[0063] It should be noted that the power demand per unit time of each power device at the receiving terminal of the traditional power system is obtained from the database and multiplied by the total time of the associated cycle to obtain the power demand of each power device at the receiving terminal of the traditional power system.
[0064] It should also be noted that the power demand of each power device at the receiving terminal of the sorted traditional power system is compared with the total power supply associated with the regulation subsystem of the new energy system. If the power demand of a certain power device at the receiving terminal of the sorted traditional power system is less than the total power supply associated with the regulation subsystem of the new energy system, the power demand of the power device is added to the power demand of the second-ranked power device, and the added power demand is compared with the total power supply associated with the regulation subsystem of the new energy system. If the added power demand is greater than or equal to the total power supply associated with the regulation subsystem of the new energy system, the power device is recorded as a power supply device. Otherwise, the power demand of the first two digits is added to the power demand of the third digit power device. If the added power demand is greater than or equal to the total power supply associated with the regulation subsystem of the new energy system, the first two digits are recorded as power supply devices. And so on, the power supply devices of the regulation subsystem of the new energy system are traversed to obtain.
[0065] The present invention first evaluates the operation quality coefficient of the traditional power system and the operation quality coefficient of the new energy system in the passive judgment module of the new energy system, and then judges whether the island state of the new energy system is started through the island state judgment model. On the one hand, it ensures the continuity and reliability of power supply, thereby improving the power supply efficiency of the power system and ensuring the normal power consumption of the receiving terminal of the power system. On the other hand, it improves the coordination between the traditional power system and the new energy system, thereby avoiding adverse effects on the quality of equipment of the receiving terminal of the traditional power system, reducing economic losses, and ensuring the normal life of the receiving terminal.
[0066] The new energy system active judgment module is used to obtain the maintenance data of the traditional power system, analyze the regulation subsystem of the new energy system and its corresponding preset parameters, and run the execution terminal 1 at the island starting point of the regulation subsystem of the new energy system.
[0067] It should be noted that the maintenance data of the traditional power system is obtained from the power operation system.
[0068] In a specific embodiment of the present invention, the regulation subsystem of the new energy system and its corresponding preset parameters are analyzed by a specific analysis method: extracting the maintenance time period from the maintenance data of the traditional power system, evaluating the estimated operating quality coefficient of each execution subsystem of the new energy system during the maintenance time period, screening the regulation subsystem of the new energy system, and obtaining the estimated power generation of the regulation subsystem of the new energy system during the maintenance time period.
[0069] It should be noted that the specific analysis method for evaluating the estimated operating quality coefficient of each execution subsystem of the new energy system during the maintenance time period is as follows: based on the maintenance time period of each execution subsystem of the new energy system, combined with the historical reference turning points and types of each execution subsystem of the new energy system, the estimated operating quality coefficient of each execution subsystem of the new energy system during the maintenance time period is evaluated; the estimated power production of the regulating subsystem of the new energy system during the maintenance time period is specifically as follows: averaging the power production of each execution subsystem of the new energy system in each batch corresponding to each detection cycle, to obtain the power production of each execution subsystem of the new energy system in each detection cycle, and then obtaining the estimated power production of the regulating subsystem of the new energy system during the maintenance time period.
[0070] Based on the maintenance time period of the traditional power system, the total power demand of the receiving terminals of the traditional power system is obtained. If the total power demand of the receiving terminals of the traditional power system is less than the estimated power generation of the regulation subsystem of the new energy system during the maintenance time period, the preset parameter of the regulation subsystem of the new energy system is recorded as E; otherwise, the difference between the total power demand of the receiving terminals of the traditional power system and the estimated power generation of the regulation subsystem of the new energy system during the maintenance time period is used as the preset parameter of the regulation subsystem of the new energy system.
[0071] The present invention evaluates the regulation subsystem of the new energy system and its corresponding preset parameters according to the maintenance data of the traditional power system in the active judgment module of the new energy system, realizes the continuous power supply of the new energy when the traditional power system is under maintenance, and improves the continuity of the power supply of the power system.
[0072] The execution terminal 1 is used for supplying power to various power devices of the receiving terminal of the traditional power system through the regulation subsystem of the new energy system.
[0073] The execution terminal 2 is used to supply power to each power supply device through the regulation subsystem of the new energy system.
[0074] The island state monitoring module is used to monitor the operation of the island state of the new energy system, obtain monitoring data, and set the monitoring frequency of the island state of the new energy system accordingly.
[0075] In a specific embodiment of the present invention, the monitoring frequency of the island state of the new energy system is set, and the specific setting method is: extracting the fault information of the regulation subsystem and each fault device of the receiving terminal of the traditional power system from the monitoring data of the island state of the new energy system, wherein the fault information includes the fault type and the fault duration TI.
[0076] Extract the risk factors of each fault type of each execution subsystem of the new energy system from the database, and screen the fault risk factors of the regulation subsystem of the new energy system .
[0077] Count the number of faulty devices M at the receiving terminal of the traditional power system and evaluate the regulation quality coefficient of the island state of the new energy system , where M' is the total number of power equipment at the receiving terminal of the traditional power system, and TI' is the allowable fault duration of the regulation subsystem of the new energy system.
[0078] It should be noted that the allowable fault duration of each execution subsystem of the new energy system is extracted from the database, and then the allowable fault duration of the regulation subsystem of the new energy system is screened.
[0079] The monitoring frequency of the island state of the new energy system is screened by combining the adjustment quality coefficient intervals corresponding to the appropriate monitoring frequencies of the new energy system stored in the database.
[0080] It should be noted that the present invention also includes a database for storing the operating quality coefficient thresholds of traditional power systems, the operating quality coefficient thresholds of new energy systems, the qualified characteristic value intervals of various indicator data of various power equipment, the allowable transmission loss per unit time, the allowable current abnormal area and the allowable voltage abnormal area, the target power generation corresponding to the unit power generation parameter, the suitable characteristic value intervals of various apparent data of various power generation equipment, the number of associated nodes, the power outage threat coefficient, the usage time, the rated usage time of each power equipment at the receiving terminal of the traditional power system, the allowable fault time of each execution subsystem of the new energy system, the risk factor of each fault type, the adjustment quality coefficient interval corresponding to each suitable monitoring frequency of the new energy system, the set current A and the set voltage B of the traditional power system, and obtaining the required power per unit time of each power equipment at the receiving terminal of the traditional power system.
[0081] It should also be noted that the data query module is respectively connected to the new energy system passive judgment module, the new energy system passive judgment module is respectively connected to the execution terminal 1 and the execution terminal 2, the new energy system active judgment module is connected to the execution terminal 1, and the execution terminal 1 and the execution terminal 2 are both connected to the island status monitoring module, and the database is respectively connected to the new energy system passive judgment module, the new energy system active judgment module and the island status monitoring module.
[0082] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.
Claims
1. A data query monitoring system, characterized in that: include: A data query module is used to query the operation data and equipment data of the traditional power system from the power operation system, and query the operation data and equipment data of the new energy system; The passive judgment module of the new energy system is used to judge whether the new energy system starts the island state according to the operation data and equipment data of the traditional power system and the operation data and equipment data of the new energy system. If the new energy system starts the island state, the regulation subsystem of the new energy system is analyzed, and the load state of the regulation subsystem of the new energy system in the island state is analyzed. If the load state is full load, the execution terminal 1 is operated. Otherwise, each power supply device of the regulation subsystem of the new energy system is evaluated, and the execution terminal 2 is operated. The operation data of the traditional power system includes the power supply in the set detection cycle, the current and voltage at each time point, and the actual power consumption of the receiving terminal. The equipment data includes the characteristic value of each indicator data of each power equipment. The operation data of the new energy system includes the power generation parameters and power generation of each execution subsystem in each detection cycle. The equipment data of the new energy system includes the characteristic value of each apparent data of each power generation equipment of each execution subsystem in each detection cycle. The specific method for judging whether the new energy system starts the island state is as follows: Evaluate the operation quality coefficient α of the traditional power system based on the operation data and equipment data of the traditional power system; Evaluate the operation quality coefficient β of the new energy system based on the operation data and equipment data of the new energy system; Import the operation quality coefficient of the traditional power system and the operation quality coefficient of the new energy system into the island state judgment model, and output the island state start value of the new energy system Among them, α′ and β′ represent the operation quality coefficient threshold of the traditional power system and the operation quality coefficient threshold of the new energy system stored in the database, respectively, and ∧ and ∨ represent the logical symbols and, and or, respectively; If the island state start value of the new energy system is 1, it is judged that the new energy system starts the island state. Otherwise, it is judged that the new energy system does not start the island state. When the island state start value of the new energy system is -1, an early warning is issued to the management personnel of the power system. The specific evaluation method for evaluating the operation quality coefficient α of the traditional power system is as follows: Extract the power supply of the set detection period and the actual power consumption of the receiving terminal from the operation data of the traditional power system, subtract the actual power consumption of the receiving terminal from the power supply of the traditional power system to obtain the transmission loss power D of the traditional power system; Extracting the current and voltage at each time point of a set detection period from the operation data of the traditional power system, and evaluating the stability coefficient χ of the traditional power system; Extract the characteristic value c of each indicator data of each power equipment from the equipment data of the traditional power system im , combined with the qualified characteristic value interval c of each indicator data of each power equipment stored in the database i ' m , where i is the number of each power equipment, i=1,2,...,n, n is any integer greater than 2, m is the number of each indicator data, m=1,2,...,l, l is any integer greater than 2; Evaluating the Operation Quality Factor of Traditional Power Systems Where D′ is the permissible transmission power loss per unit time stored in the database, T is the duration of the set detection cycle, SI′ and UI′ represent the permissible current abnormal area and permissible voltage abnormal area stored in the database, SI and UI represent the permissible current abnormal area and voltage abnormal area of the traditional power system in the set detection cycle, γ is the equipment operation quality coefficient of the traditional power system, Where n and l are the number of power equipment and the number of indicator data respectively; The specific evaluation method for evaluating the operation quality coefficient β of the new energy system is as follows: Extract the power generation parameters and power generation Q of each execution subsystem in each detection cycle from the operation data of the new energy system bj , combined with the target power generation corresponding to the unit power generation parameters stored in the database, the target power generation Q of each execution subsystem of the new energy system in each detection cycle is obtained b ' j , where b is the number of each execution subsystem, b = 1, 2, ..., d, d is any integer greater than 2, j is the number of each detection cycle, j = 1, 2, ..., k, k is any integer greater than 2; Evaluate the turning points and their types of each execution subsystem of the new energy system; Evaluate the historical reference turning points and their types of each execution subsystem of the new energy system; Based on the set detection cycle of the traditional power system, the turning points and their types of each execution subsystem of the new energy system are compared with the historical reference turning points and their types to evaluate the power generation trend index δ of each execution subsystem of the new energy system. b ; Extract the characteristic values of each apparent data of each power generation equipment of each execution subsystem in each detection cycle from the equipment data of the new energy system, and evaluate the operation quality coefficient of each execution subsystem of the new energy system by combining the appropriate characteristic value interval of each apparent data of each power generation equipment stored in the database Where k is the number of detection cycles, λ b is the equipment operation quality coefficient of the bth execution subsystem of the new energy system; Compare the operation quality coefficient of each execution subsystem of the new energy system with the predefined operation quality coefficient threshold. If the operation quality coefficient of a certain execution subsystem of the new energy system is greater than or equal to the operation quality coefficient threshold, the operation quality coefficient of the new energy system is recorded as R, otherwise, it is recorded as R', and the operation quality coefficient β of the new energy system is obtained; The new energy system active judgment module is used to obtain the maintenance data of the traditional power system, analyze the regulation subsystem of the new energy system and its corresponding preset parameters, and run the execution terminal 1 at the island starting point of the regulation subsystem of the new energy system; The execution terminal 1 is used for supplying power to various power equipments of the receiving terminal of the traditional power system through the regulation subsystem of the new energy system; Execution terminal 2, used for supplying power to each power supply device through the regulation subsystem of the new energy system; The island state monitoring module is used to monitor the operation of the island state of the new energy system, obtain monitoring data, and set the monitoring frequency of the island state of the new energy system accordingly.
2. A data query monitoring system according to claim 1, characterized in that: The specific evaluation method of the stability coefficient of the traditional power system is as follows: Based on the current and voltage of the conventional power system at each time point in the set detection period, a current and voltage straight line graph of the conventional power system in the set detection period is obtained through processing; Obtain the slope of the current and voltage lines of the traditional power system in the set detection period to evaluate the stability coefficient of the traditional power system Where κi and κu are the slopes of the current line and voltage line of the traditional power system in the set detection period, respectively; κi′ and κu′ represent the predefined reference current line slope interval and reference voltage line slope interval, respectively.
3. A data query monitoring system according to claim 1, characterized in that: The specific analysis method of analyzing the regulation subsystem of the new energy system and analyzing the load state of the regulation subsystem of the new energy system in the island state is as follows: The operation quality coefficients of the execution subsystems of the new energy system are compared with each other. If the operation quality coefficient of a certain execution subsystem is the largest, the execution subsystem of the new energy system is used as the regulating subsystem of the new energy system. Obtain the power generation of each execution subsystem of the new energy system in each batch corresponding to each detection cycle from the power operation system, and obtain the associated total power supply of the regulation subsystem of the new energy system; The actual power usage of the receiving terminal corresponding to the traditional power system in the set detection period is compared with the total power supply associated with the regulation subsystem of the new energy system. If the actual power usage of the receiving terminal corresponding to the traditional power system in the set detection period is less than the total power supply associated with the regulation subsystem of the new energy system, it is determined that the load state of the regulation subsystem of the new energy system in the island state is fully loaded.
4. A data query monitoring system according to claim 3, characterized in that: The specific evaluation method for evaluating each power supply device of the regulation subsystem of the new energy system is as follows: The number of associated nodes, power outage threat coefficient and usage time of each power device at the receiving terminal of the traditional power system are obtained from the database, and the associated nodes, power outage threat coefficient and usage time of each power device at the receiving terminal of the traditional power system are imported into the power supply demand index evaluation model to output the power supply demand index of each power device at the receiving terminal of the traditional power system; The power demand of each power device at the receiving terminal of the traditional power system is obtained, and the power devices at the receiving terminal of the traditional power system are sorted in descending order according to the power supply demand index, and the power supply devices at the receiving terminal of the traditional power system are selected as the power supply devices of the regulation subsystem of the new energy system.
5. A data query monitoring system according to claim 1, characterized in that: The specific analysis method of analyzing the regulation subsystem of the new energy system and its corresponding preset parameters is as follows: Extract the maintenance time period from the maintenance data of the traditional power system, evaluate the estimated operation quality coefficient of each execution subsystem of the new energy system during the maintenance time period, screen the regulation subsystem of the new energy system, and obtain the estimated power generation of the regulation subsystem of the new energy system during the maintenance time period; Based on the maintenance time period of the traditional power system, the total power demand of the receiving terminals of the traditional power system is obtained. If the total power demand of the receiving terminals of the traditional power system is less than the estimated power generation of the regulation subsystem of the new energy system during the maintenance time period, the preset parameter of the regulation subsystem of the new energy system is recorded as E; otherwise, the difference between the total power demand of the receiving terminals of the traditional power system and the estimated power generation of the regulation subsystem of the new energy system during the maintenance time period is used as the preset parameter of the regulation subsystem of the new energy system.
6. A data query monitoring system according to claim 1, characterized in that: The specific setting method of setting the monitoring frequency of the island state of the new energy system is as follows: Extracting fault information of the regulation subsystem and each faulty device of the receiving terminal of the traditional power system from the monitoring data of the island state of the new energy system, wherein the fault information includes the fault type and the fault duration TI; Extract the risk factors of each fault type of each execution subsystem of the new energy system from the database, and screen the fault risk factor ζ of the regulation subsystem of the new energy system; Count the number of faulty devices M at the receiving terminal of the traditional power system and evaluate the regulation quality coefficient of the island state of the new energy system Where M' is the total number of power equipment at the receiving terminal of the traditional power system, and TI' is the allowable fault duration of the regulation subsystem of the new energy system; The monitoring frequency of the island state of the new energy system is screened by combining the adjustment quality coefficient intervals corresponding to the appropriate monitoring frequencies of the new energy system stored in the database.