Auxiliary power grid reserve capacity management system based on electric power GIS

Abstract

The invention discloses an auxiliary power grid reserve capacity management system based on an electric power GIS, which relates to the technical field of power grid reserve management and comprises a power grid data acquisition module, an alarm control module, a power grid data processing module and a GIS management module. The power grid data acquisition module, the alarm control module, the power grid data processing module and the GIS management module are arranged, equipment position, line trend, topographic information and the like are included, visual management of power grid geographic information is achieved, a user is helped to visually understand the layout, load distribution and equipment state of a power grid, and the user experience is improved. According to the invention, dual reminding is carried out through a double-management mode of onsite early warning and remote early warning, and corresponding processing is conveniently carried out after early warning is received by setting different levels of early warning modes, so that the overall early warning effect is improved, real-time supervision on each environment is facilitated, power grid reserve capacity management can be realized through enterprise intranet cloud management and control, and the enterprise intranet cloud management and control is facilitated. And the intelligent level of power grid reserve capacity management is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid reserve management, and in particular to an auxiliary power grid reserve capacity management system based on electric power GIS. Background Art

[0002] One of the common methods for electricity forecasting in power grid planning is "conventional load + point load", and "point load" is an important factor affecting electricity. However, in the past, electricity forecasting was done by rough manual counting of point loads.

[0003] However, in the prior art, the management of power grid reserve capacity suffers from the problem of low early warning efficiency, and it is impossible to take into account both remote and on-site early warning processing. As a result, when an abnormality occurs in a certain link, the staff cannot obtain the message in the first time. At the same time, the efficiency of obtaining and processing power grid geographic information cannot meet the use requirements, resulting in incorrect judgment of power grid reserve capacity, affecting the normal use of the overall system. Therefore, the present invention needs to design an auxiliary power grid reserve capacity management system based on power GIS to solve the above-mentioned problems. Summary of the invention

[0004] The purpose of the present invention is to provide an auxiliary power grid reserve capacity management system based on electric power GIS in order to solve the above problems, thereby solving the problems mentioned in the background technology.

[0005] In order to solve the above problems, the present invention provides a technical solution:

[0006] An auxiliary power grid reserve capacity management system based on electric power GIS, the reserve capacity management system includes a power grid data acquisition module, an alarm control module, a power grid data processing module and a GIS management module. The power grid data acquisition module maintains real-time data communication and sharing with the alarm control module, the power grid data processing module and the GIS management module respectively through the enterprise intranet, and the staff logs into the GIS management module to access the reserve capacity management system.

[0007] As a preferred technical solution, the power grid data acquisition module is used to collect the current, voltage and power data of each node of the power grid in real time by means of multiple sets of sensors, and the installation equipment acquisition unit is also used to collect meteorological data in real time by means of smart meter equipment;

[0008] The alarm control module is used to manage the early warning devices installed on-site and remotely, and to perform early warning processing at different levels according to pre-set early warning standards;

[0009] The power grid data processing module is used to visualize spatial data by integrating geographic information of power facilities, and to predict future loads through machine learning algorithms based on historical load data and prediction models, thereby calculating the reserve capacity of the power grid;

[0010] The GIS management module is used to set the load threshold. When the reserve capacity is lower than the set value, an alarm is automatically issued, and each link that requires manual access is managed at the same time.

[0011] As a preferred technical solution, the power grid data acquisition module includes a sensor acquisition unit, an installation device acquisition unit and a safety interception management unit. The output ends of the sensor acquisition unit and the installation device acquisition unit are both communicatively connected to the input end of the safety interception management unit, and the output end of the safety interception management unit is communicatively connected to the input end of the power grid data processing module.

[0012] As a preferred technical solution, the sensor acquisition unit is used to collect current, voltage, power and other data of each node of the power grid in real time by means of multiple groups of sensors, and the sensors include but are not limited to current sensors, pressure sensors, harmonic sensors, and frequency sensors;

[0013] The installation equipment collection unit is used to collect meteorological data in real time by using smart meter equipment to analyze the impact on the power grid load. The meteorological data include but are not limited to temperature, humidity, and wind speed;

[0014] The security interception management unit is used to perform basic security management on the two sets of collected data and intercept viruses and risk factors therein.

[0015] As a preferred technical solution, the alarm control module includes an on-site warning unit, a remote warning unit and an alarm preset unit. The output end of the alarm preset unit is communicatively connected to the input ends of the on-site warning unit and the remote warning unit respectively, and the output ends of the on-site warning unit and the remote warning unit are both communicatively connected to the input end of the GIS management module.

[0016] As a preferred technical solution, the on-site warning unit is used to manage the warning equipment installed on-site and perform different levels of warning processing according to pre-set warning standards;

[0017] The remote warning unit is used to manage the remotely installed warning equipment and perform different levels of warning processing according to the pre-set warning standards;

[0018] The alarm preset unit is used to manually set different warning levels and reminder methods at each warning level. The warning levels include level one warning, level two warning, level three warning and level four warning. The level four warning includes indicator lights and warning lights flashing slowly. The level three warning includes indicator lights and warning lights flashing frequently. The level two warning includes a buzzer voice warning. The level one warning includes a reserve capacity management system interruption.

[0019] As a preferred technical solution, the power grid data processing module includes a power grid data processing unit, a machine prediction unit and a storage capacity calculation unit. The output ends of the power grid data processing unit and the storage capacity calculation unit are both communicatively connected to the input end of the machine prediction unit, and the output end of the machine prediction unit is communicatively connected to the input end of the GIS management module.

[0020] As a preferred technical solution, the power grid data processing unit is used to visualize spatial data by integrating geographic information of power facilities, so that users can intuitively understand the operating status of the power grid;

[0021] The machine prediction unit is used to predict future loads through a machine learning algorithm based on historical load data and a prediction model in combination with meteorological data, thereby calculating the reserve capacity of the power grid;

[0022] The storage capacity calculation unit is used to display real-time monitoring and predictive analysis of reserve capacity by providing a graphical interface, and to provide optimization suggestions for power grid dispatching through machine learning algorithms to ensure safe and stable operation of the power grid.

[0023] As a preferred technical solution, the GIS management module includes a mobile control platform, a storage capacity management unit and a manual optimization unit, and the output ends of the storage capacity management unit and the manual optimization unit are both communicatively connected to the input end of the mobile control platform.

[0024] As a preferred technical solution, the mobile control platform is used to mobile control the reserve capacity management system, so as to facilitate mobile management of each module;

[0025] The storage capacity management unit is used to set the load threshold. When the reserve capacity is lower than the set value, an alarm is automatically issued. Combined with GIS positioning, the problem area can be quickly located, which facilitates the dispatcher to respond quickly;

[0026] The manual optimization unit is used to manage each link that requires manual intervention and record the specific data of each manual optimization, which includes the problems of manual optimization, the reasons for manual optimization, the results of manual optimization, whether manual optimization has been applied for, the time of manual optimization, and the historical data of previous optimization.

[0027] The beneficial effects of the present invention are as follows: the present invention constructs a complete reserve capacity management system by setting a power grid data acquisition module, an alarm control module, a power grid data processing module and a GIS management module. In actual use, the power grid data acquisition module is used to collect the current, voltage and power data of each node of the power grid in real time by means of multiple sets of sensors. The installation equipment acquisition unit is also used to collect meteorological data in real time by means of smart meter equipment. The alarm control module is used to manage the early warning equipment installed on site and remotely installed, and different levels of early warning processing are performed according to pre-set early warning standards. The power grid data processing module is used to visualize spatial data by integrating the geographic information of power facilities, and predict future loads based on historical load data and prediction models through machine learning algorithms, thereby calculating the reserve capacity of the power grid. The S management module is used to set the load threshold. When the reserve capacity is lower than the set value, an alarm is automatically issued. At the same time, it manages each link that requires manual access. It obtains the geographic information data of the power grid through GIS technology, including equipment location, line direction, terrain information, etc., to achieve visual management of the power grid's geographic information, helping users to intuitively understand the layout, load distribution and equipment status of the power grid. It provides double reminders through on-site early warning and remote early warning. By setting different levels of early warning methods, it is convenient to carry out corresponding processing after receiving the early warning, which improves the overall early warning effect and facilitates real-time supervision of each environment. It manages, visualizes and stores the power grid reserve capacity management data and the corresponding analysis results, which helps to realize the power grid reserve capacity management through the enterprise intranet cloud management and control, and improve the intelligence level of power grid reserve capacity management. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] For ease of explanation, the present invention is described in detail with reference to the following specific implementations and the accompanying drawings.

[0029] Figure 1 It is an overall topological diagram of an auxiliary power grid reserve capacity management system based on electric power GIS of the present invention. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0031] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. The singular forms "a", "said" and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings, and "multiple" generally includes at least two.

[0032] It should be understood that the term "and / or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0033] It should be understood that although the terms first, second, third, etc. may be used to describe in the embodiments of the present application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first.

[0034] As used herein, the words "if" and "if" may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

[0035] It should also be noted that the term "includes", "comprising" or any other variation thereof is intended to cover non-exclusive inclusion, so that a commodity or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed. In the absence of more restrictions, the elements defined by the sentence "comprising a ..." do not exclude the presence of other identical elements in the commodity or device comprising the elements.

[0036] It should be particularly noted that any symbols and / or numbers in the specification that are not marked in the accompanying drawings are not drawing marks.

[0037] The optional embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0038] like Figure 1 As shown, this specific implementation adopts the following technical solutions:

[0039] The invention discloses an auxiliary power grid reserve capacity management system based on electric power GIS, wherein the GIS is a geographic information system; the reserve capacity management system comprises a power grid data acquisition module, an alarm control module, a power grid data processing module and a GIS management module; the power grid data acquisition module respectively maintains real-time data communication and sharing with the alarm control module, the power grid data processing module and the GIS management module through the enterprise intranet; the staff logs into the GIS management module to access the inside of the reserve capacity management system; the power grid data acquisition module is used to collect the current, voltage and power data of each node of the power grid in real time by means of multiple sets of sensors; the installation equipment acquisition unit is also used to collect meteorological data in real time by means of smart meter equipment; the alarm control module is used to manage the early warning equipment installed on site and remotely, and to perform early warning processing of different levels according to the pre-set early warning standards; the power grid data processing module is used to visualize the spatial data by integrating the geographic information of the power facilities, and to predict the future load by means of the machine learning algorithm based on the historical load data and the prediction model, so as to calculate the reserve capacity of the power grid; the GIS management module is used to set the load threshold, and automatically issue an alarm when the reserve capacity is lower than the set value, and manage each link requiring manual access at the same time.

[0040] In this solution, the power grid data acquisition module includes a sensor acquisition unit, an installation equipment acquisition unit and a security interception management unit. The output ends of the sensor acquisition unit and the installation equipment acquisition unit are both communicatively connected to the input end of the security interception management unit. The output end of the security interception management unit is communicatively connected to the input end of the power grid data processing module. The sensor acquisition unit is used to use multiple groups of sensors to collect current, voltage, power and other data of each node of the power grid in real time. The sensors include but are not limited to current sensors, pressure sensors, harmonic sensors, and frequency sensors; the installation equipment acquisition unit is used to collect meteorological data in real time by using smart meter equipment to analyze the impact on the power grid load. The meteorological data includes but is not limited to temperature, humidity, and wind speed; the security interception management unit is used to perform basic security management on the two sets of collected data and intercept viruses and risk factors therein.

[0041] In the present solution, the alarm control module includes an on-site warning unit, a remote warning unit and an alarm preset unit. The output end of the alarm preset unit is communicatively connected to the input ends of the on-site warning unit and the remote warning unit respectively. The output ends of the on-site warning unit and the remote warning unit are both communicatively connected to the input end of the GIS management module. The on-site warning unit is used to manage the warning equipment installed on-site, and perform different levels of warning processing according to pre-set warning standards; the remote warning unit is used to manage the warning equipment installed remotely, and perform different levels of warning processing according to pre-set warning standards; the alarm preset unit is used to manually set different warning levels and reminder methods under each warning level. The warning levels include level one warning, level two warning, level three warning and level four warning. The level four warning includes indicator lights and warning lights flashing slowly, the level three warning includes indicator lights and warning lights flashing frequently, the level two warning includes buzzer voice warning, and the level one warning includes reserve capacity management system interruption.

[0042] In this solution, the power grid data processing module includes a power grid data processing unit, a machine prediction unit and a storage capacity calculation unit. The output ends of the power grid data processing unit and the storage capacity calculation unit are both communicatively connected to the input end of the machine prediction unit. The output end of the machine prediction unit is communicatively connected to the input end of the GIS management module. The power grid data processing unit is used to integrate the geographic information of power facilities, including equipment location, line direction, terrain information, etc., to achieve visual management of power grid geographic information and visualize spatial data, so that users can intuitively understand the operating status of the power grid; the machine prediction unit is used to predict future loads based on historical load data and prediction models, combined with meteorological data, through machine learning algorithms, so as to calculate the reserve capacity of the power grid; the storage capacity calculation unit is used to display real-time monitoring and predictive analysis of reserve capacity by providing a graphical interface, and provide optimization suggestions for power grid dispatching through machine learning algorithms to ensure safe and stable operation of the power grid.

[0043] In this solution, the GIS management module includes a mobile control platform, a storage capacity management unit and a manual optimization unit. The output ends of the storage capacity management unit and the manual optimization unit are both communicatively connected to the input end of the mobile control platform. The mobile control platform is used to mobile control the reserve capacity management system to facilitate mobile management of each module; the storage capacity management unit is used to set a load threshold. When the reserve capacity is lower than the set value, an alarm is automatically issued. Combined with GIS positioning, the problem area can be quickly located to facilitate a quick response by dispatchers; the manual optimization unit is used to manage each link that requires manual access and record the specific data of each manual optimization. The specific data includes the problems of manual optimization, the reasons for manual optimization, the results of manual optimization, whether manual optimization has been applied for or reported, the time of manual optimization, and the historical data of previous optimizations.

[0044] Example

[0045] When the auxiliary grid technology of the power GIS is connected to the reserve capacity management system:

[0046] S1. The staff checks the remote equipment and the on-site equipment one by one. After everything is correct, the reserve capacity management system is started. The sensor acquisition unit uses multiple sets of sensors to collect the current, voltage, power and other data of each node of the power grid in real time. The sensors include but are not limited to current sensors, pressure sensors, harmonic sensors, and frequency sensors. The installation equipment acquisition unit uses smart meter equipment to collect meteorological data in real time and analyzes the impact on the power grid load. The meteorological data includes but is not limited to temperature, humidity, and wind speed. The security interception management unit performs basic security management on the two sets of collected data and intercepts viruses and risk factors therein;

[0047] S2. The power grid data processing unit integrates the geographic information of power facilities to visualize spatial data, so that users can intuitively understand the operation status of the power grid. The machine prediction unit is used to predict future loads based on historical load data and prediction models, combined with meteorological data, through machine learning algorithms, so as to calculate the reserve capacity of the power grid. The storage capacity calculation unit displays real-time monitoring and prediction analysis of reserve capacity by providing a graphical interface, and provides optimization suggestions for power grid dispatching through machine learning algorithms to ensure safe and stable operation of the power grid.

[0048] S3. The mobile control platform is used to control the reserve capacity management system, which is convenient for mobile management of each module. The storage capacity management unit is used to set the load threshold. When the reserve capacity is lower than the set value, an alarm is automatically issued. Combined with GIS positioning, the problem area is quickly located to facilitate the dispatcher to respond quickly. The manual optimization unit is used to manage each link that requires manual access and record the specific data of each manual optimization. The specific data includes the problem of manual optimization, the reason for manual optimization, the result of manual optimization, whether manual optimization has been applied for, the time of manual optimization, and the historical data of previous optimization;

[0049] S4. The on-site early warning unit manages the early warning equipment installed on-site, and performs early warning processing at different levels according to the pre-set early warning standards. The remote early warning unit manages the early warning equipment installed remotely, and performs early warning processing at different levels according to the pre-set early warning standards. The alarm preset unit is used to manually set different early warning levels and reminder methods at each early warning level. The early warning levels include level one, level two, level three and level four. The level four early warning includes slow flashing of indicator lights and early warning lights. The level three early warning includes frequent flashing of indicator lights and early warning lights. The level two early warning includes a buzzer voice warning. The level one early warning includes the interruption of the reserve capacity management system. The basic processing plan of the reserve capacity management system under different early warnings is manually set.

[0050] Specifically: In actual applications, there are multiple power grid data acquisition modules, which are respectively used in conjunction with alarm control modules, power grid data processing modules and GIS management modules. The multiple power grid data acquisition modules are located in different geographical locations. The present invention constructs a complete reserve capacity management system by setting power grid data acquisition modules, alarm control modules, power grid data processing modules and GIS management modules. In actual use, the power grid data acquisition module is used to use multiple groups of sensors to collect current, voltage and power data of each node of the power grid in real time. The installation equipment acquisition unit is also used to collect meteorological data in real time by using smart meter equipment. The alarm control module is used to manage the early warning equipment installed on site and remotely installed, and different levels of early warning processing are performed according to pre-set early warning standards. The power grid data processing module is used to visualize spatial data by integrating the geographic information of power facilities. Based on historical load data and prediction models, the machine The machine learning algorithm predicts future loads and calculates the reserve capacity of the power grid. The GIS management module is used to set the load threshold. When the reserve capacity is lower than the set value, an alarm is automatically issued. At the same time, each link that requires manual access is managed. The geographic information data of the power grid is obtained through GIS technology, including equipment location, line direction, terrain information, etc., to achieve visual management of the power grid's geographic information, help users intuitively understand the layout, load distribution and equipment status of the power grid, and use on-site early warning and remote early warning to provide double reminders. By setting different levels of early warning methods, it is convenient to carry out corresponding processing after receiving the early warning, which improves the overall early warning effect and facilitates real-time supervision of each environment. The power grid reserve capacity management data and the corresponding analysis results are managed, visualized and stored, which helps to realize the power grid reserve capacity management through the enterprise intranet cloud management and control, and improve the intelligence level of power grid reserve capacity management. The enterprise intranet is the local area network used within the enterprise.

[0051] Those skilled in the art will appreciate that the modules and method steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0052] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices, equipment and modules can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0053] In the several embodiments provided in the present application, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or units can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or equipment, which can be electrical, mechanical or other forms.

[0054] The modules for power grid data collection, alarm control, power grid data processing and GIS management may or may not be physically separated, and the components displayed as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0055] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0056] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include: various media that can store program instructions, such as USB flash drives, mobile hard disks, read-only storage servers, random access storage servers, magnetic disks or optical disks.

[0057] In addition, it should be noted that the combination of the various technical features in this case is not limited to the combination described in the claims of this case or the combination described in the specific embodiments. All technical features described in this case can be freely combined or combined in any way unless there is a contradiction between them.

[0058] It should be noted that the above examples are only specific embodiments of the present invention, and the present invention is obviously not limited to the above examples, and there are many similar variations. All variations directly derived or associated from the contents disclosed by the technicians in this field should fall within the protection scope of the present invention.

[0059] The above are only preferred embodiments of the present invention and are not intended to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An auxiliary power grid reserve capacity management system based on power GIS, characterized in that: The reserve capacity management system includes a power grid data acquisition module, an alarm control module, a power grid data processing module and a GIS management module. The power grid data acquisition module maintains real-time data communication and sharing with the alarm control module, the power grid data processing module and the GIS management module through the enterprise intranet. The staff can access the reserve capacity management system by logging into the GIS management module.

2. The auxiliary power grid reserve capacity management system based on power GIS according to claim 1 is characterized by: The power grid data acquisition module is used to collect the current, voltage and power data of each node of the power grid in real time by means of multiple sets of sensors, and the installation equipment acquisition unit is also used to collect meteorological data in real time by means of smart meter equipment; The alarm control module is used to manage the early warning devices installed on-site and remotely, and to perform early warning processing at different levels according to pre-set early warning standards; The power grid data processing module is used to visualize spatial data by integrating geographic information of power facilities, and to predict future loads through machine learning algorithms based on historical load data and prediction models, thereby calculating the reserve capacity of the power grid; The GIS management module is used to set the load threshold. When the reserve capacity is lower than the set value, an alarm is automatically issued, and each link that requires manual access is managed at the same time.

3. The auxiliary power grid reserve capacity management system based on electric power GIS according to claim 1 is characterized in that: The power grid data acquisition module includes a sensor acquisition unit, an installation device acquisition unit and a safety interception management unit. The output ends of the sensor acquisition unit and the installation device acquisition unit are both communicatively connected to the input end of the safety interception management unit, and the output end of the safety interception management unit is communicatively connected to the input end of the power grid data processing module.

4. The auxiliary power grid reserve capacity management system based on electric power GIS according to claim 3 is characterized in that: The sensor acquisition unit is used to collect data such as current, voltage, power, etc. of each node of the power grid in real time by using multiple sets of sensors; The installation equipment collection unit is used to collect meteorological data in real time by using smart meter equipment; The security interception management unit is used to perform basic security management on the two sets of collected data.

5. The auxiliary power grid reserve capacity management system based on electric power GIS according to claim 1 is characterized by: The alarm control module includes an on-site warning unit, a remote warning unit and an alarm preset unit. The output end of the alarm preset unit is communicatively connected to the input ends of the on-site warning unit and the remote warning unit respectively. The output ends of the on-site warning unit and the remote warning unit are both communicatively connected to the input end of the GIS management module.

6. The auxiliary power grid reserve capacity management system based on electric power GIS according to claim 5 is characterized in that: The on-site early warning unit is used to manage early warning equipment installed on-site; The remote warning unit is used to manage the remotely installed warning equipment; The alarm preset unit is used to manually set different warning levels and reminder methods at each warning level.

7. The auxiliary power grid reserve capacity management system based on electric power GIS according to claim 1 is characterized by: The power grid data processing module includes a power grid data processing unit, a machine prediction unit and a storage capacity calculation unit. The output ends of the power grid data processing unit and the storage capacity calculation unit are both communicatively connected to the input end of the machine prediction unit, and the output end of the machine prediction unit is communicatively connected to the input end of the GIS management module.

8. The auxiliary power grid reserve capacity management system based on electric power GIS according to claim 7 is characterized in that: The power grid data processing unit is used to visualize spatial data by integrating geographic information of power facilities; The machine prediction unit is used to predict future loads through a machine learning algorithm based on historical load data and a prediction model in combination with meteorological data; The storage capacity calculation unit is used to display real-time monitoring and forecast analysis of the reserve capacity by providing a graphical interface.

9. The auxiliary power grid reserve capacity management system based on electric power GIS according to claim 1 is characterized by: The GIS management module includes a mobile control platform, a storage capacity management unit and a manual optimization unit. The output ends of the storage capacity management unit and the manual optimization unit are both communicatively connected to the input end of the mobile control platform.

10. The auxiliary power grid reserve capacity management system based on electric power GIS according to claim 9 is characterized in that: The mobile control platform is used for mobile control of the reserve capacity management system; The storage capacity management unit is used to set a load threshold, and when the reserve capacity is lower than the set value, an alarm is automatically issued; The manual optimization unit is used to manage each link that requires manual intervention and record specific data of each manual optimization.

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