Power distribution network power supply safety risk management method and system

Abstract

The invention discloses a power distribution network power supply safety risk management method and system, and relates to the field of power distribution network management, and the method comprises the steps: obtaining distributed power supply data in real time through dispatching a cloud new energy multi-source service; carrying out model construction based on the distributed power supply data, and carrying out analysis and calculation on a power distribution network operation mode and a power supply safety risk; and performing visual panoramic display on the model information, the operation information and the analysis result. According to the model constructed based on the distributed power supply data, the operation mode and the power supply safety risk of the power distribution network can be accurately analyzed and calculated, including panoramic monitoring, operation efficiency analysis and bearing capacity evaluation. Through the functions of distributed power supply output characteristic analysis, grid-connected power monitoring, reactive power monitoring and the like provided by the invention, the sensing capability of the running state of the distributed power supply is improved, and the power supply safety risk can be prevented. The system provides thermal stability evaluation check, short-circuit current check and voltage deviation check, and ensures stable operation of a power grid after the distributed power supply is connected.

Description

Technical Field

[0001] The present invention relates to the field of power distribution network management, and in particular to a method and system for power supply safety risk management of a power distribution network. Background Art

[0002] With the continuous growth of global energy demand and the increasing attention paid to environmental protection, distributed energy, as a new type of energy supply, has been rapidly developed in my country. Distributed energy has the following advantages and prospects: Improve energy utilization efficiency: Distributed energy is close to the user side, which can realize the cascade utilization of energy and reduce energy loss. Environmental protection and emission reduction: Distributed energy is mainly renewable energy, which helps to reduce fossil energy consumption and reduce pollutant emissions. Improve grid reliability: Distributed energy can share the grid load and improve the grid's ability to resist disasters. Promote energy structure adjustment: The development of distributed energy helps to optimize the energy structure and promote the sustainable development of my country's energy industry.

[0003] However, there are the following difficulties and challenges in distributed energy management:

[0004] Distributed energy access: As the scale of distributed energy continues to expand, how to ensure its safe and stable access to the power grid has become a difficult problem.

[0005] Power system stability: The volatility and uncertainty of distributed energy have brought challenges to the stability of the power grid. Power supply security risks: The widespread access of distributed energy has made the distribution network operation environment more complex and increased the power supply security risks. Power market operation: The participation of distributed energy has brought new challenges to the operation of the power market. How to achieve efficient and fair market transactions has become the key.

[0006] In view of the above difficulties and challenges, a set of methods and systems suitable for distributed energy analysis and management are urgently needed to achieve the following goals: realize efficient access and dispatch of distributed energy and improve energy utilization efficiency. Ensure stable operation of the power grid and reduce power supply safety risks. Promote the deep integration of distributed energy and power grid and promote the construction of energy Internet. Optimize power market operation and improve market transaction efficiency.

[0007] The present invention aims to provide a distribution network power supply safety risk management method and system to solve the problems existing in the prior art and provide strong support for the widespread application of distributed energy. Summary of the invention

[0008] In view of the above-mentioned problems, the present invention is proposed.

[0009] Therefore, the problem to be solved by the present invention is that the widespread access of distributed energy makes the operating environment of the distribution network more complex and increases the risk of power supply safety.

[0010] To solve the above technical problems, the present invention provides the following technical solutions: a distribution network power supply safety risk management method, which includes obtaining distributed power supply data in real time by scheduling cloud new energy multi-source services; building a model based on distributed power supply data, analyzing and calculating the distribution network operation mode and power supply safety risks; and visually displaying the model information, operation information and analysis results.

[0011] As a preferred solution of the distribution network power supply safety risk management method described in the present invention, the real-time acquisition of distributed power supply data through the scheduling cloud new energy multi-source business includes, based on the standard data interface, collecting distributed power supply basic data, model data and operation data of different voltage levels, and reviewing, correcting and monitoring the relevant data based on artificial intelligence technology to form a reasonable, complete and standard data quality control system; displaying the basic information of distributed power supply, grid-connected information, scale information and operation information characteristics through visual means to obtain distributed power supply data information in real time.

[0012] As a preferred solution of the distribution network power supply safety risk management method described in the present invention, the model construction based on distributed power source data includes: according to the distributed power source carrying capacity assessment standard process, using power grid data graphics to construct a distributed power source carrying capacity assessment basic data model, using the distributed power source carrying capacity assessment basic data model to parse the upper and lower relationship data of the power supply area equipment, and establishing a carrying capacity assessment static information and operation information model for regional distributed power source carrying capacity assessment and measurement.

[0013] As a preferred solution of the distribution network power supply safety risk management method described in the present invention, the analysis and calculation of the distribution network operation mode and power supply safety risk includes panoramic monitoring of distributed power sources, analysis of distributed power source operation efficiency and evaluation of the carrying capacity of distributed power sources connected to the power grid.

[0014] As a preferred solution of the power supply safety risk management method of the distribution network described in the present invention, wherein: the panoramic monitoring of the distributed power source includes distributed power source output characteristic analysis, distributed power source output monitoring analysis, distributed power source grid-connected power monitoring and distributed power source grid-connected reactive power monitoring; the distributed power source output characteristic analysis includes multi-dimensional analysis of the real-time output of the distributed power source to form a real-time output map of the distributed power source, and real-time monitoring of the distributed power source output, output extreme value and distributed output to total output ratio information; the distributed power source output monitoring analysis includes, according to the actual power generation output of the distributed power sources in each region and voltage level, real-time The distributed power grid-connected power monitoring includes real-time monitoring of the grid-connected power of the connected distributed power source, and the grid-connected power monitoring data is processed at the minute level. At the same time, it connects to the weather system and the disaster warning system to provide power generation forecast values; the distributed power grid-connected reactive power monitoring includes automatic system monitoring of the distributed photovoltaic grid-connected reactive power according to the numerical value or the set value exceeding the limit, and for the inverter with reactive power regulation capability, the reactive power regulation instruction is issued through the reactive power monitoring function.

[0015] As a preferred solution of the distribution network power supply safety risk management method described in the present invention, wherein: the distributed power supply operation efficiency analysis includes power generation trend analysis and power generation capacity analysis; the power generation trend analysis includes, based on the daily cumulative power generation of distributed power sources in different regions on the geographic information map, according to the actual power generation of each distributed power source, using multi-dimensional statistical analysis of the cumulative power consumption and power consumption proportion indicators of each region; the power generation capacity analysis includes calculating and analyzing the total power generation hours, average power generation hours, earliest power generation time, and latest power generation time of distributed power sources in multi-dimensional regions and voltage levels within a certain date range, using a curve to dynamically display the average power generation hours and the monthly total power generation hours within the date range to evaluate the power generation capacity of distributed power sources.

[0016] As a preferred solution of the power supply safety risk management method of the distribution network described in the present invention, wherein: the distributed power supply access grid carrying capacity assessment includes thermal stability assessment verification, short-circuit current verification and voltage deviation verification; the thermal stability assessment verification includes, based on the principle that the thermal stability of the power transmission and transformation equipment of the power grid does not exceed the limit, calculating the reverse load rate according to the power grid operation mode, the operation status of the power transmission and transformation equipment and the output characteristics of the distributed power supply, and evaluating the thermal stability of the transformer and the line; the short-circuit current verification includes, based on the principle that the short-circuit current of each bus node of the system does not exceed the breaking current limit of the corresponding circuit breaker after the distributed power supply is connected, calculating the system bus short-circuit current according to the current status of the short-circuit current under the maximum operation mode of the system within the evaluation range and the capacity of the distributed power supply to be verified, and verifying all the equipment through which the short-circuit current flows; the voltage deviation verification includes, based on the principle that the reactive power is balanced on the spot and the power grid voltage does not exceed the limit after the distributed power supply is connected, calculating the maximum positive voltage deviation and negative voltage deviation of the evaluation area according to the highest and lowest operating voltages of the power grid during the evaluation period, combined with the voltage limit, and calculating the maximum positive and negative voltage deviations of the area caused by the access of the new distributed power supply according to the capacity of the distributed power supply to be verified.

[0017] Another object of the present invention is to provide a distribution network power supply safety risk management system, which can monitor and analyze the risks of distributed power sources in the distribution network.

[0018] To solve the above technical problems, the present invention provides the following technical solutions: a system for a distribution network power supply safety risk management method, comprising: a basic platform, basic applications and advanced applications; the basic platform obtains distributed power supply data in real time by scheduling cloud new energy multi-source services; the basic application constructs a model based on the distributed power supply data, and analyzes and calculates the distribution network operation mode and power supply safety risks; the advanced application visualizes the model information, operation information and analysis results in a panoramic display.

[0019] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned method for managing power supply safety risks in a distribution network when executing the computer program.

[0020] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for managing power supply safety risks in a distribution network.

[0021] The beneficial effects of the present invention are as follows: the present invention obtains distributed power supply data in real time by scheduling cloud new energy multi-source services, establishes a standard data interface, and realizes comprehensive collection of distributed power supply data at different voltage levels.

[0022] The model constructed based on distributed power source data in the present invention can accurately analyze and calculate the operation mode of the distribution network and the power supply safety risks, including panoramic monitoring, operation efficiency analysis and carrying capacity assessment.

[0023] The distributed power output characteristic analysis, grid-connected power monitoring and reactive power monitoring functions proposed in the present invention improve the ability to perceive the operating status of distributed power sources and help prevent power supply safety risks.

[0024] The system provides thermal stability assessment verification, short-circuit current verification and voltage deviation verification, ensuring the stable operation of the power grid after the distributed power generation is connected. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. 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 creative work. Among them:

[0026] Figure 1 This is a flow chart of a distribution network power supply safety risk management method in Example 1.

[0027] Figure 2 This is a distributed power supply output characteristic analysis diagram of a distribution network power supply safety risk management method in Example 1.

[0028] Figure 3 This is a distributed power supply output monitoring and analysis diagram of a distribution network power supply safety risk management method in Example 1.

[0029] Figure 4 This is a grid carrying capacity assessment level diagram of a distribution network power supply safety risk management method in Example 1.

[0030] Figure 5 This is a visualization diagram of the evaluation results of a distribution network power supply safety risk management method in Example 1.

[0031] Figure 6 This is a module result diagram of a distribution network power supply safety risk management system in Example 3. DETAILED DESCRIPTION

[0032] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0033] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0034] Example 1, reference Figure 1-Figure 5 , which is the first embodiment of the present invention, and which provides a method for managing power supply safety risks in a distribution network, including: Figure 1 As shown:

[0035] S1. Obtain distributed power data in real time through the dispatch cloud new energy multi-source business.

[0036] Based on the standard data interface, basic data, model data and operation data of distributed power sources at different voltage levels are collected, and the relevant data are reviewed, corrected and monitored based on artificial intelligence technology to form a reasonable, complete and standard data quality control system.

[0037] Through visual means, important indicators such as basic information of distributed power sources, grid-connected information, scale information, and operating information characteristics are displayed, and distributed power source data information is controlled in real time, forming a set of complete information and quick query functions.

[0038] S2. Build a model based on distributed power source data to analyze and calculate the distribution network operation mode and power supply safety risks.

[0039] According to the standard process of distributed power generation capacity assessment, the basic data model for distributed power generation capacity assessment is constructed using the power grid data model / graph. The upper and lower-level relationship data of the equipment in the power supply area obtained by model analysis is used to establish the capacity assessment static information (equipment / line parameter model, bus parameter model) and operation information (equipment / line operation data model, short-circuit current verification, voltage deviation verification, etc.) model, providing accurate data support for the regional distributed power generation capacity assessment and calculation.

[0040] The analysis and calculation of distribution network operation mode and power supply safety risks include panoramic monitoring of distributed power sources, analysis of distributed power source operation efficiency and assessment of distributed power source access grid carrying capacity.

[0041] Panoramic monitoring of distributed power sources includes distributed power output characteristic analysis, distributed power output monitoring analysis, distributed power grid-connected power monitoring and distributed power grid-connected reactive power monitoring.

[0042] The output characteristic analysis of distributed power sources includes multi-dimensional analysis of the real-time output of distributed power sources, forming a real-time output map of distributed power sources, and real-time monitoring of important information such as the output of distributed power sources, output extremes, and the proportion of distributed output in the total output. Figure 2 shown.

[0043] Distributed power output monitoring and analysis includes, according to the actual power output of distributed power sources in each region and voltage level, reflecting the actual power output in real time, dynamically displaying the actual output process in the form of curves, mining and analyzing the balance fluctuation law of distributed power output, and realizing transparent and refined perception monitoring of the operating status of distributed power sources, such as Figure 3 shown.

[0044] The distributed power grid-connected power monitoring includes real-time monitoring of the grid-connected power of the connected distributed power sources, which can realize full-day, power generation time or 2-hour monitoring, and can superimpose the curves of the current day and the previous day. The distributed power grid-connected power data is mastered in real time; the grid-connected power monitoring data is processed at the minute level, which can accurately reflect the distributed photovoltaic output, and can also connect to weather systems, disaster warning systems and other services. Provide 15-minute, 30-minute, 45-minute and 60-minute power generation forecast values ​​to achieve more accurate power generation forecasts.

[0045] The distributed power grid-connected reactive power monitoring includes providing distributed photovoltaic grid-connected reactive power monitoring function, which can automatically monitor the distributed photovoltaic grid-connected reactive power according to the numerical value or the limit of the fixed value. For inverters with reactive power regulation capabilities, reactive power regulation instructions can also be issued through the reactive power monitoring function. According to the operation status of the power grid, the power electronic regulation characteristics are used to actively manage the three-phase imbalance of the power grid. Reactive power control supports absolute value and relative value control, and supports setting the power factor fixed value.

[0046] The analysis of distributed power supply operation efficiency includes power generation trend analysis and power generation capacity analysis; power generation trend analysis includes, based on the display and analysis of the daily cumulative power generation of distributed power sources in different regions on geographic information maps, and according to the actual power generation of each distributed power source, multi-dimensional statistical analysis of key indicators such as region, daily cumulative power generation of a single machine, monthly cumulative power generation, annual cumulative power generation, proportion of power generation in different dimensions, monthly power generation comparison analysis, and annual power generation comparison analysis is used to provide data support for distributed energy consumption and scheduling.

[0047] The power generation capacity analysis includes calculating and analyzing the total power generation hours, average power generation hours, earliest power generation time, and latest power generation time of distributed power sources of different regions and voltage levels within a certain date range in multiple dimensions, and using curves to dynamically display the comparison between the average power generation hours and the monthly total power generation hours within the date range, to provide support for evaluating the power generation capacity of distributed power sources.

[0048] The evaluation of the carrying capacity of distributed generation connected to the grid includes thermal stability evaluation verification, short-circuit current verification and voltage deviation verification.

[0049] Thermal stability assessment verification includes: thermal stability assessment is based on the principle that the thermal stability of power grid transmission and transformation equipment does not exceed the limit. The reverse load rate λ will be calculated based on factors such as power grid operation mode, transmission and transformation equipment limits, load conditions, power generation conditions, and distributed power generation output characteristics. The assessment objects should include transformers and lines.

[0050] Short-circuit current verification includes: the principle is that the short-circuit current of each bus node of the system does not exceed the breaking current limit of the corresponding circuit breaker after the distributed power source is connected. According to the current short-circuit current status of the system under the maximum operating mode within the assessment scope and the capacity of the distributed power source to be verified, the system bus short-circuit current is calculated based on GB / T 15544 and DL / T 5729. The verification objects should include all equipment within the assessment scope through which the short-circuit current may flow.

[0051] Voltage deviation verification includes: voltage deviation verification is based on the principles of local reactive power balance and grid voltage not exceeding the limit after distributed power generation is connected. According to the highest and lowest operating voltages of the grid during the evaluation period, combined with the voltage limit values ​​given in GB / T12325, the maximum positive voltage deviation and negative voltage deviation of the evaluation area are calculated respectively; according to the capacity of the distributed power generation to be verified and the requirements of GB / T 33593, the maximum positive and negative voltage deviations of the area caused by the access of the newly added distributed power generation are calculated.

[0052] S3. Visualize the model information, operation information and analysis results in a panoramic manner.

[0053] The grid capacity assessment level will be determined based on the calculation and analysis results. The assessment levels can be divided into green, yellow and red from low to high. Figure 4 shown.

[0054] According to the results of the distributed power generation capacity assessment standards, the assessment results of the power supply area of ​​cities / counties are analyzed using multi-dimensional statistical charts to analyze the overall load of equipment / lines and the newly added capacity within the assessment range. The power grid topology diagram is used to intuitively and efficiently display and analyze the equipment capacity assessment level in each area, forming a normalized assessment and calculation mechanism for the distributed power generation access to the power grid, which provides accurate data support for power supply companies to guide the orderly access of distributed power generation to the power grid and optimize the layout of new energy installations. Figure 5 shown.

[0055] Embodiment 2 is the second embodiment of the present invention, which is different from the first embodiment in that: a distribution network power supply safety risk management method also includes, in order to verify and illustrate the technical effects adopted in this method, this embodiment adopts a specific trial production plan to verify the actual effect of this method.

[0056] Trial production plan

[0057] Equipment (software) list and technical indicators:

[0058] The equipment (software) includes two parts: a digital twin distribution network operation mode arrangement auxiliary decision-making system and a distribution network operation mode auxiliary decision-making data processing device adapted to the new power system. The specific quantity and technical indicators are as follows:

[0059] Digital twin distribution network operation mode arrangement auxiliary decision system

[0060] Quantity: 1 set; Technical indicators:

[0061] (1) System reliability ≥ 99%.

[0062] (2) System interaction request response time ≤ 3S (5000 concurrent requests).

[0063] (3)Data throughput ≥ 100Mbps.

[0064] (4) The response time for decision information generation is ≤ 5 minutes.

[0065] A data processing device for auxiliary decision-making of distribution network operation mode adapted to new power system

[0066] Quantity: 2 sets; Technical indicators:

[0067] (1) The response time of data processing results shall not exceed 2s.

[0068] (2) Interaction request response time ≤ 3S.

[0069] (3) Using AC three-phase four-wire power supply, when the system fails (any two phases are disconnected during three-phase four-wire power supply), the AC power supply can provide normal operation of the terminal.

[0070] (4) The terminal will not malfunction or send erroneous signals when it is powered on or off, or when the power voltage rises or drops slowly. It will automatically resume normal operation when the power returns to normal.

[0071] (5) After power is restored, data is saved without loss and the internal clock runs normally.

[0072] Table 1: Equipment (software) functions and detailed technical parameters

[0073]

[0074]

[0075] The above configuration can achieve the implementation effect of the present invention.

[0076] Example 3, reference Figure 6, which is the third embodiment of the present invention, and is different from the previous two embodiments in that: a system for a distribution network power supply safety risk management method, including a basic platform, basic applications and advanced applications; the basic platform obtains distributed power supply data in real time by scheduling cloud new energy multi-source services; the basic application builds a model based on the distributed power supply data, and analyzes and calculates the distribution network operation mode and power supply safety risks; the advanced application visualizes the model information, operation information and analysis results in a panoramic display.

[0077] If the functions are implemented in the form of software functional units 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, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0078] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0079] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0080] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0081] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for managing power supply safety risks in a distribution network, characterized in that: include, Obtain distributed power data in real time through the dispatch cloud new energy multi-source business; Build models based on distributed power data to analyze and calculate distribution network operation modes and power supply safety risks; The model information, operation information and analysis results are displayed in a visual and panoramic manner.

2. A distribution network power supply safety risk management method as claimed in claim 1, characterized in that: The real-time acquisition of distributed power data through the dispatch cloud new energy multi-source business includes collecting basic data, model data and operation data of distributed power sources at different voltage levels based on standard data interfaces, and reviewing, correcting and monitoring relevant data based on artificial intelligence technology to form a reasonable, complete and standard data quality control system; The basic information of distributed power sources, grid-connected data, scale information and operation information characteristics are displayed by visual means, and distributed power source data information is obtained in real time.

3. A method for managing power supply safety risks in a distribution network as claimed in claim 2, characterized in that: The model construction based on distributed power source data includes, according to the distributed power source carrying capacity assessment standard process, using the power grid data graph to build the distributed power source carrying capacity assessment basic data model, using the distributed power source carrying capacity assessment basic data model to parse the upper and lower level relationship data of the power supply area equipment, and establishing the carrying capacity assessment static information and operation information model for the regional distributed power source carrying capacity assessment and calculation.

4. A distribution network power supply safety risk management method as claimed in claim 3, characterized in that: The analysis and calculation of the distribution network operation mode and power supply safety risks include panoramic monitoring of distributed power sources, analysis of distributed power source operation efficiency, and evaluation of the carrying capacity of distributed power sources connected to the power grid.

5. A method for managing power supply safety risks in a distribution network as claimed in claim 4, characterized in that: The distributed power supply panoramic monitoring includes distributed power supply output characteristic analysis, distributed power supply output monitoring analysis, distributed power supply grid-connected power monitoring and distributed power supply grid-connected reactive power monitoring; The distributed power output characteristic analysis includes performing a multi-dimensional analysis on the real-time output of the distributed power source to form a real-time output map of the distributed power source, and real-time monitoring of the output of the distributed power source, the output extreme value, and the ratio of the distributed output to the total output; The distributed power output monitoring and analysis includes, according to the actual power output of distributed power sources in each region and voltage level, reflecting the actual power output in real time, dynamically displaying the actual output process in the form of a curve, analyzing the balance fluctuation law of distributed power output, and monitoring the operating status of distributed power sources; The distributed power grid-connected power monitoring includes real-time monitoring of the grid-connected power of the connected distributed power sources, processing the grid-connected power monitoring data at the minute level, and connecting to the weather system and disaster warning system to provide power generation forecast values; The distributed power grid-connected reactive power monitoring includes automatically monitoring the distributed photovoltaic grid-connected reactive power according to the numerical value or the limit of the fixed value, and issuing reactive adjustment instructions for the inverter with reactive adjustment capability through the reactive monitoring function.

6. A method for managing power supply safety risks in a distribution network as claimed in claim 5, characterized in that: The distributed power generation operation efficiency analysis includes power generation trend analysis and power generation capacity analysis; The power generation trend analysis includes, based on the daily cumulative power generation of distributed power sources in different regions on the geographic information map, and according to the actual power generation of each distributed power source, using multi-dimensional statistical analysis of the cumulative power consumption and power consumption ratio indicators of each region; The power generation capacity analysis includes calculating and analyzing the total power generation hours, average power generation hours, earliest power generation time, and latest power generation time of distributed power sources in multi-dimensional regions and voltage levels within a certain date range, using a curve to dynamically display the average power generation hours and the monthly total power generation hours within the date range to evaluate the power generation capacity of distributed power sources.

7. A method for managing power supply safety risks in a distribution network according to claim 6, characterized in that: The distributed power grid access carrying capacity assessment includes thermal stability assessment verification, short-circuit current verification and voltage deviation verification; The thermal stability assessment and verification includes, based on the principle that the thermal stability of the power transmission and transformation equipment of the power grid does not exceed the limit, calculating the reverse load rate according to the power grid operation mode, the operation status of the power transmission and transformation equipment and the output characteristics of the distributed power source, and assessing the thermal stability of the transformer and the line; The short-circuit current verification includes, based on the principle that the short-circuit current of each bus node of the system does not exceed the breaking current limit of the corresponding circuit breaker after the distributed power source is connected, calculating the system bus short-circuit current according to the current status of the short-circuit current under the maximum operating mode of the system within the assessment range and the capacity of the distributed power source to be verified, and verifying all the equipment through which the short-circuit current flows; The voltage deviation verification includes, based on the principles of on-site reactive power balance and grid voltage not exceeding the limit after distributed power sources are connected, calculating the maximum positive voltage deviation and negative voltage deviation of the evaluation area according to the highest and lowest operating voltages of the grid during the evaluation period and the voltage limit, and calculating the maximum positive and negative voltage deviations of the area caused by the access of the newly added distributed power sources according to the capacity of the distributed power sources to be verified.

8. A system using a distribution network power supply safety risk management method as claimed in any one of claims 1 to 7, characterized in that: Including basic platform, basic applications and advanced applications; The basic platform acquires distributed power data in real time by dispatching cloud new energy multi-source services; The basic application builds a model based on distributed power data to analyze and calculate the operation mode of the distribution network and the power supply safety risks; The advanced application provides a visual panoramic display of model information, operation information and analysis results.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of a distribution network power supply safety risk management method described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a distribution network power supply safety risk management method described in any one of claims 1 to 7 are implemented.

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