Power distribution network management method, device, equipment, storage medium and program product

Abstract

The invention relates to a power distribution network management method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring a power topological structure and power distribution network data of a target power distribution network in a target time period; determining management parameters of the target power distribution network in the target time period based on the power topological structure and the power distribution network data; wherein the management parameters comprise at least one of a performance score, a frequency variation, a frequency change rate, a voltage variation and a power variation; and managing the target power distribution network based on the management parameters. By adopting the method, accurate management of the target power distribution network can be realized.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent monitoring of power systems, and in particular to a distribution network management method, device, equipment, storage medium and program product. Background Art

[0002] In recent years, with the widespread application of new energy-saving distribution transformers, automation, informatization and communication technologies and other advanced technologies in distribution areas, the intelligence level of distribution areas has been significantly improved.

[0003] However, the current substation management has deficiencies in resources, technology, and tools in terms of management mechanism, management content, and management methods, and cannot comprehensively improve the level of intelligent management of distribution substations. Summary of the invention

[0004] Based on this, it is necessary to provide a distribution network management method, device, equipment, storage medium and program product to address the above technical problems, which can achieve accurate management of the target distribution network.

[0005] In a first aspect, the present application provides a distribution network management method, the method comprising:

[0006] Obtaining the power topology and distribution network data of the target distribution network during the target period;

[0007] Based on the power topology and the distribution network data, determine the management parameters of the target distribution network in the target period; wherein the management parameters include at least one of the performance score, the frequency change, the frequency change rate, the voltage change and the power change;

[0008] Based on the management parameters, the target distribution network is managed.

[0009] In one embodiment, based on the power topology and the distribution network data, determining the management parameters of the target distribution network in the target period includes:

[0010] Based on the power topology and distribution network data, determine the index values ​​of the performance indicators corresponding to the target distribution network in the target period; based on the index values ​​of the performance indicators corresponding to the target distribution network in the target period, determine the performance score of the target distribution network in the target period; based on the difference between the rated frequency and the actual frequency corresponding to the target distribution network, determine the frequency change of the target distribution network in the target period; based on the actual frequency and the time length of the target period, determine the frequency change rate of the target distribution network in the target period; based on the difference between the rated voltage and the actual voltage corresponding to the target distribution network, determine the voltage change of the target distribution network in the target period; based on the difference between the rated power and the actual power corresponding to the target distribution network, determine the power change of the target distribution network in the target period.

[0011] In one embodiment, managing the target power distribution network based on the management parameter includes:

[0012] The performance score is compared with the grade threshold, and based on the comparison result, the target evaluation grade corresponding to the target distribution network is determined; if the target evaluation grade is an improved evaluation grade, the improved sub-link corresponding to the target distribution network is determined; and the distribution equipment in the improved sub-link corresponding to the target distribution network is managed.

[0013] In one embodiment, managing the target power distribution network based on the management parameter includes:

[0014] Based on the frequency change, the frequency action threshold and the frequency action limit, a target frequency value corresponding to the target distribution network is determined; based on the target frequency value, the frequency of the target distribution network is adjusted.

[0015] In one embodiment, managing the target power distribution network based on the management parameter includes:

[0016] The inertia adjustment coefficient is determined based on the rated frequency of the target distribution network, the active power of the new energy units and the equivalent inertia time constant; based on the inertia adjustment coefficient and the frequency change rate of the target distribution network, the frequency of the new energy units in the target distribution network is adjusted.

[0017] In one embodiment, managing the target power distribution network based on the management parameter includes:

[0018] Based on the voltage variation, the voltage action threshold and the voltage action limit, a target voltage value corresponding to the target distribution network is determined; based on the target voltage value, the voltage of the target distribution network is adjusted.

[0019] In one embodiment, managing the target power distribution network based on the management parameter includes:

[0020] Based on the power variation, the power action threshold and the power action limit, a target power value corresponding to the target distribution network is determined; based on the target power value, the power of the target distribution network is adjusted.

[0021] In one embodiment, it includes:

[0022] Based on the distribution network data, the operating status of each power device in the target distribution network is determined; based on the operating status of each power device in the target distribution network, a monitoring log is output; wherein the monitoring log includes monitoring events and fault locations.

[0023] In a second aspect, the present application further provides a distribution network management device, the device comprising:

[0024] An acquisition module is used to acquire the power topology structure and distribution network data of the target distribution network in the target period;

[0025] A determination module, used to determine the management parameters of the target distribution network in the target period based on the power topology and the distribution network data; wherein the management parameters include at least one of the performance score, the frequency change amount, the frequency change rate, the voltage change amount and the power change amount;

[0026] The management module is used to manage the target distribution network based on management parameters.

[0027] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0028] Obtaining the power topology and distribution network data of the target distribution network during the target period;

[0029] Based on the power topology and the distribution network data, determine the management parameters of the target distribution network in the target period; wherein the management parameters include at least one of the performance score, the frequency change, the frequency change rate, the voltage change and the power change;

[0030] Based on the management parameters, the target distribution network is managed.

[0031] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0032] Obtaining the power topology and distribution network data of the target distribution network during the target period;

[0033] Based on the power topology and the distribution network data, determine the management parameters of the target distribution network in the target period; wherein the management parameters include at least one of the performance score, the frequency change, the frequency change rate, the voltage change and the power change;

[0034] Based on the management parameters, the target distribution network is managed.

[0035] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0036] Obtaining the power topology and distribution network data of the target distribution network during the target period;

[0037] Based on the power topology and the distribution network data, determine the management parameters of the target distribution network in the target period; wherein the management parameters include at least one of the performance score, the frequency change, the frequency change rate, the voltage change and the power change;

[0038] Based on the management parameters, the target distribution network is managed.

[0039] The above-mentioned distribution network management method, device, equipment, storage medium and program product, by obtaining the power topology structure and distribution network data of the target distribution network in the target period, provide a data basis for accurately determining the state of the target distribution network in the target period; further, based on the power topology structure and distribution network data, the management parameters of the performance score, frequency change, frequency change rate, voltage change and power change of the target distribution network in the target period can be determined, laying a foundation for accurate management of the target distribution network; further, based on the management parameters, the target distribution network can be accurately managed. This solution provides a way to accurately determine the state of the target distribution network by introducing multi-dimensional management parameters, and ultimately achieves accurate management of the target distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 An application environment diagram of a distribution network management method provided in an embodiment of the present application;

[0042] Figure 2 A schematic diagram of a flow chart of distribution network management provided in an embodiment of the present application;

[0043] Figure 3 A schematic diagram of a process for determining management parameters provided in an embodiment of the present application;

[0044] Figure 4 A structural block diagram of a distribution network management device provided in an embodiment of the present application;

[0045] Figure 5 This is a diagram of the internal structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0047] The distribution network management method provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The server 104 can obtain the power topology structure and distribution network data of the target distribution network in the target period from the data storage system; further, the management parameters of the target distribution network in the target period can be determined based on the power topology structure and distribution network data; further, the target distribution network can be managed based on the management parameters, and the management content can be displayed through the terminal 102. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablets, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The server 104 can be implemented with an independent server or a server cluster consisting of multiple servers.

[0048] In an exemplary embodiment, Figure 2 As shown, a distribution network management method is provided, which is applied to Figure 1 Taking the server 104 in the example as an example, the following steps may be included:

[0049] S201, obtaining the power topology structure and distribution network data of the target distribution network in the target time period.

[0050] Among them, the power topology structure can represent the connection relationship between each node in the target distribution network; the distribution network data includes actual frequency, actual voltage and actual power.

[0051] Optionally, the target distribution network may represent a distribution network area or system for which data needs to be obtained; the target period may represent a specific time period for analyzing the target distribution network, such as one day, one week, one month, etc.

[0052] Exemplarily, the power topology structure of the target distribution network can be updated regularly to ensure the accuracy of the power topology structure stored in the data storage system, and the distribution network data of the target distribution network can be collected through measuring devices, monitoring devices, sensors and other equipment installed in the target distribution network, and the collected distribution network data can be saved to the data storage system; furthermore, the server 104 can directly obtain the power topology structure and distribution network data of the target distribution network in the target period from the data storage system.

[0053] S202: Determine management parameters of a target distribution network in a target period based on the power topology and distribution network data.

[0054] The management parameters may include but are not limited to at least one of a performance score, a frequency change, a frequency change rate, a voltage change, and a power change.

[0055] Exemplarily, based on the power topology of the target distribution network, the connection relationship between nodes in the target distribution network and the power transmission path and other information can be analyzed. Furthermore, based on the distribution network data, parameters such as performance score, frequency change, frequency change rate, voltage change and power change can be calculated.

[0056] S203: Manage the target distribution network based on the management parameters.

[0057] For example, the management parameters can be monitored, and when the management parameters exceed the normal range, the target distribution network can be managed according to the adjustment strategy corresponding to the management parameters. For example, when the frequency change exceeds the normal range, measures are taken to intervene, such as adjusting the output power of the generator to balance the load change and maintain the stability of the grid frequency, or taking emergency measures such as load shedding.

[0058] It should be noted that the normal range of management parameter comparison needs to be set reasonably to ensure that the target distribution network fluctuates within the specified range.

[0059] The above distribution network management method provides a data basis for accurately determining the state of the target distribution network in the target period by obtaining the power topology structure and distribution network data of the target distribution network in the target period; further, the management parameters of the performance score, frequency change, frequency change rate, voltage change and power change of the target distribution network in the target period can be determined based on the power topology structure and distribution network data, laying a foundation for accurate management of the target distribution network; further, the target distribution network can be accurately managed based on the management parameters. This solution provides a way to accurately determine the state of the target distribution network by introducing multi-dimensional management parameters, and ultimately achieves accurate management of the target distribution network.

[0060] Based on the above embodiment, the present application embodiment explains the above embodiment S202 in detail. Specifically, the present application embodiment involves a process of determining management parameters, such as Figure 3 As shown, the specific steps include:

[0061] S301, based on the power topology structure and distribution network data, determine the index value of the performance index corresponding to the target distribution network in the target time period.

[0062] Among them, the performance indicators may include but are not limited to load rate, power factor, voltage qualification rate, operation failure rate, power supply reliability, line loss and three-phase imbalance degree.

[0063] Optionally, performance indicators can be divided into benefit indicators and cost indicators; among them, the larger the value of the benefit indicator, the better the operating status of the target distribution network, such as power factor and voltage qualification rate; the smaller the value of the cost indicator, the better the operating status of the target distribution network, such as load rate and line loss.

[0064] For example, based on the power topology of the target distribution network, the connection relationship between nodes in the target distribution network and the power transmission path and other information can be analyzed. Furthermore, according to the distribution network data, the index values ​​of performance indicators such as load rate, voltage qualification rate, operation failure rate, power supply reliability, line loss and three-phase imbalance degree of each node or equipment in the target time period can be calculated.

[0065] S302: Determine a performance score of the target distribution network in the target period based on the index value of the performance index corresponding to the target distribution network in the target period.

[0066] Optionally, the fuzzy membership function corresponding to the performance indicator can be determined according to the type of performance indicator (benefit indicator or cost indicator). For example, the benefit indicator can adopt an S-type function or a properly designed trapezoidal function to represent the membership. As the indicator value increases, the membership gradually increases. The cost indicator can adopt an S-type function or a properly designed trapezoidal function to represent the membership. As the indicator value increases, the membership gradually decreases.

[0067] Exemplarily, for any performance indicator, the indicator value of the performance indicator can be substituted into the fuzzy membership function corresponding to the performance indicator to obtain the indicator score corresponding to the performance indicator; further, the indicator score and indicator weight of each performance indicator can be weighted and summed to obtain the performance score of the target distribution network in the target period.

[0068] Among them, the indicator weight corresponding to each performance indicator can be determined according to the analysis model and / or expert experience, and the embodiment of the present application does not specifically limit the method for determining the indicator weight.

[0069] S303: Determine a frequency change of the target distribution network in a target period based on a difference between a rated frequency and an actual frequency corresponding to the target distribution network.

[0070] Among them, the rated frequency can represent the standard frequency of the target distribution network under normal operating conditions, such as 50Hz or 60Hz; the actual frequency can represent the actual frequency value of the target distribution network in real-time operation, which may fluctuate due to factors such as load changes and generator output power adjustments; the frequency change can represent the difference between the actual frequency and the rated frequency, which is used to measure the degree of frequency deviation.

[0071] Exemplarily, the absolute value of the difference between the rated frequency and the actual frequency corresponding to the target distribution network may be determined as the frequency change of the target distribution network in the target period.

[0072] It should be noted that the actual frequency may be collected at multiple sampling points during the target period. The multiple actual frequencies can be respectively subjected to difference calculations with the rated frequency, and the multiple differences between the actual frequency and the rated frequency can be summed as the frequency change of the target distribution network during the target period.

[0073] S304: Determine the frequency change rate of the target distribution network during the target period based on the actual frequency and the time length of the target period.

[0074] The frequency change rate can indicate how fast the frequency changes over a period of time.

[0075] Exemplarily, if the actual frequency fluctuation of the target distribution network in real-time operation is small, the average value of the actual frequency in the target time period can be used as the actual representative frequency; if the actual frequency fluctuation of the target distribution network in real-time operation is large, the actual frequency in the target time period can be calculated by more complex statistical methods (such as median, mode or weighted average methods) to determine the actual representative frequency; further, the absolute value of the difference between the actual representative frequency and the rated frequency corresponding to the target distribution network can be determined as the frequency representative change; further, the result of dividing the frequency representative change by the time length of the target time period is determined as the frequency change rate of the target distribution network in the target time period.

[0076] S305: Determine a voltage change of the target distribution network in a target period based on a difference between a rated voltage and an actual voltage corresponding to the target distribution network.

[0077] Among them, the rated voltage can represent the standard voltage value specified when the target distribution network is designed; the actual voltage can represent the voltage value of the target distribution network in real-time operation, which may fluctuate due to factors such as load changes, grid structure, and line losses; the voltage change can represent the difference between the actual voltage and the rated voltage of the target distribution network in the target time period, which is used to measure the degree to which the voltage deviates from the rated value.

[0078] Exemplarily, the absolute value of the difference between the rated voltage and the actual voltage corresponding to the target distribution network may be determined as the voltage variation of the target distribution network in the target period.

[0079] It should be noted that the actual voltage may be collected at multiple sampling points during the target period. The multiple actual voltages can be differentially calculated with the rated voltage respectively, and the multiple differences between the actual voltage and the rated voltage can be summed as the voltage change of the target distribution network during the target period.

[0080] S306: Determine a power change of the target distribution network in the target period based on a difference between the rated power and the actual power corresponding to the target distribution network.

[0081] Among them, the rated power can indicate the maximum power that the target distribution network or the equipment therein can continuously and stably output under standard conditions; the actual power can indicate the power value of the target distribution network in real time during the target period; the power change can indicate the difference between the actual power and the rated power of the target distribution network during the target period, which is used to measure the degree to which the power deviates from the rated value.

[0082] Exemplarily, the absolute value of the difference between the rated power and the actual power corresponding to the target power distribution network may be determined as the power variation of the target power distribution network in the target period.

[0083] It should be noted that actual power may be collected at multiple sampling points during the target period. The multiple actual powers can be respectively differenced with the rated power, and the multiple differences between the actual power and the rated power can be summed as the power change of the target distribution network during the target period.

[0084] In the embodiment of the present application, by calculating various management parameters, a foundation is laid for determining the operating status of the target distribution network from multiple dimensions.

[0085] Based on the above embodiment, the embodiment of the present application explains the above embodiment S203 in detail. Specifically, the embodiment of the present application involves a process of managing the target distribution network based on the performance score in the management parameter, which specifically includes:

[0086] The performance score is compared with the grade threshold, and based on the comparison result, the target evaluation grade corresponding to the target distribution network is determined; if the target evaluation grade is an improved evaluation grade, the improved sub-link corresponding to the target distribution network is determined; and the distribution equipment in the improved sub-link corresponding to the target distribution network is managed.

[0087] Among them, the level threshold can represent the basis for judging the operating status of the target distribution network during the target time period; the target evaluation level can represent the operating status of the target distribution network during the target time period, such as it can include excellent, good, medium and poor levels; the improved evaluation level can represent the poor operating status of the target distribution network during the target time period, such as the improved evaluation level can include medium and poor levels; the improved sub-link can represent the link in the target distribution network with abnormal operating status during the target time period, such as the power transmission link (the high-voltage power produced by the power plant is transmitted to the main substation of the distribution network through the transmission line), the power distribution link (the medium-voltage power is transmitted to the distribution substation or distribution transformer in each region through the medium-voltage distribution line) and the power transmission link (the low-voltage power is transmitted to the end user through the low-voltage distribution line).

[0088] Optionally, if a percentage system is used for scoring, the grade thresholds may include 90 points, 70 points and 60 points. If the performance score is ≥90, the operating condition of the target distribution network in the target time period is "excellent"; if 90>performance score ≥70, the operating condition of the target distribution network in the target time period is "good"; if 70>performance score ≥60, the operating condition of the target distribution network in the target time period is "medium"; if the performance score is <60, the operating condition of the target distribution network in the target time period is "poor"; further, if the performance score is <70, that is, the operating condition of the target distribution network in the target time period is "medium" or "poor", that is, the evaluation grade is improved; further, the improvement sub-link corresponding to the target distribution network can be determined according to the indicator value of the performance indicator corresponding to the target distribution network in the target time period, and the distribution equipment in the improvement sub-link corresponding to the target distribution network can be managed, such as updating or upgrading the distribution equipment.

[0089] In the embodiment of the present application, by introducing the level threshold, a standard is provided for determining the operating status of the target distribution network in the target period; and by determining the improvement sub-links, a foundation is laid for accurately managing the target distribution network.

[0090] Based on the above embodiment, the embodiment of the present application explains the above embodiment S203 in detail. Specifically, the embodiment of the present application involves a process of managing the target distribution network based on the frequency change amount in the management parameter, which specifically includes:

[0091] Based on the frequency change, the frequency action threshold and the frequency action limit, a target frequency value corresponding to the target distribution network is determined; based on the target frequency value, the frequency of the target distribution network is adjusted.

[0092] For example, the frequency change F diff and frequency action threshold F min , frequency action limit F max Compare and determine the target frequency value P corresponding to the target distribution network according to the comparison result. Fset , which can be specifically expressed as:

[0093] (1)

[0094] in, It can represent a frequency modulation coefficient.

[0095] Optionally, it can be determined based on the voltage and power multi-level synchronous measurement of multiple scenarios of new energy, the number of controlled devices on site and the adjustable potential ; The frequency action threshold can be determined based on the capacity and other parameters on site and frequency action limit .

[0096] In the embodiment of the present application, by determining the target frequency value, a basis is provided for accurately adjusting the frequency of the target distribution network.

[0097] Based on the above embodiment, the embodiment of the present application explains the above embodiment S203 in detail. Specifically, the embodiment of the present application involves a process of managing the target distribution network based on the frequency change rate in the management parameter, which specifically includes:

[0098] The inertia adjustment coefficient is determined based on the rated frequency of the target distribution network, the active power of the new energy units and the equivalent inertia time constant; based on the inertia adjustment coefficient and the frequency change rate of the target distribution network, the frequency of the new energy units in the target distribution network is adjusted.

[0099] For example, based on the rated frequency of the target power distribution network , Active power of new energy units and the equivalent inertia time constant , determine the inertia adjustment coefficient , which can be specifically expressed as:

[0100] (2)

[0101] Furthermore, the inertia adjustment coefficient can be and the frequency change rate DF of the target distribution network, and the frequency of the new energy units in the target distribution network Adjustment can be expressed as:

[0102] (3)

[0103] In the embodiment of the present application, by determining the inertia adjustment coefficient, a foundation is laid for accurately adjusting the frequency of the new energy unit.

[0104] Based on the above embodiment, the embodiment of the present application explains the above embodiment S203 in detail. Specifically, the embodiment of the present application involves a process of managing the target distribution network based on the voltage change in the management parameter, which specifically includes:

[0105] Based on the voltage variation, the voltage action threshold and the voltage action limit, a target voltage value corresponding to the target distribution network is determined; based on the target voltage value, the voltage of the target distribution network is adjusted.

[0106] For example, the voltage change U diff With voltage action threshold U min , Voltage action limit U max Compare and determine the target voltage value Q corresponding to the target distribution network based on the comparison result. Uset , which can be specifically expressed as:

[0107] (4)

[0108] In the embodiment of the present application, by determining the target voltage value, a basis is provided for accurately adjusting the voltage of the target distribution network.

[0109] Based on the above embodiment, the embodiment of the present application explains the above embodiment S203 in detail. Specifically, the embodiment of the present application involves a process of managing the target distribution network based on the power change in the management parameter, which specifically includes:

[0110] Based on the power variation, the power action threshold and the power action limit, a target power value corresponding to the target distribution network is determined; based on the target power value, the power of the target distribution network is adjusted.

[0111] For example, the power change P diff and power action threshold P min , Power action limit P max Compare and determine the target power value P corresponding to the target distribution network based on the comparison result. Pset , which can be specifically expressed as:

[0112] (5)

[0113] In the embodiment of the present application, by determining the target power value, a basis is provided for accurately adjusting the power of the target distribution network.

[0114] Based on the above embodiments, the embodiments of the present application relate to a process of monitoring a distribution network, which specifically includes:

[0115] Based on the distribution network data, the operating status of each power device in the target distribution network is determined; based on the operating status of each power device in the target distribution network, a monitoring log is output.

[0116] The monitoring log may include but is not limited to monitoring events and fault locations.

[0117] It should be noted that the distribution network data can also include electrical quantity data, traveling waves, and the time it takes for the traveling waves to arrive at both ends of the main feeder and the end of the branch; optionally, auxiliary devices can be installed at both ends of the main feeder and the end of the branch, and the time difference of the arrival of the traveling waves can be recorded by the traveling wave module of the auxiliary device, combined with the synchronous phasor and synchronous waveform information in the auxiliary device to accurately locate the fault point.

[0118] For example, based on the distribution network data (such as electrical quantity data, etc.), the status of each line electrical quantity can be monitored, and the operating status of each power equipment in the target distribution network can be determined. It can also be judged whether multiple electrical quantities are out of limit. If an over-limit action is detected, a monitoring event and a trigger waveform record will be generated. Furthermore, based on information such as the operating status of each power equipment in the target distribution network and monitoring events, a monitoring log can be generated and output to remind staff to conduct investigations.

[0119] Optionally, the embodiment of the present application can also record various events in sequence through the data storage system, record the time, type, duration and typical value of the event, etc., with a time resolution of 1ms; the recorded data will not be lost during a power outage, and after the record is full, it will be overwritten from the earliest event, and all event records can be read and cleared through the display panel and the communication port; it can also record the maximum value of the real-time measurement value, provide the current maximum value and the last maximum value record, including maximum / minimum value data and its occurrence time, etc., the recorded data is stored in the COMTRADE format, and all data can be kept for about half a year in the absence of communication conditions; it also has a waveform recording function, which can be triggered by transient disturbances, transient disturbances, impulse current disturbances, rapid voltage changes, over-limit events, DI displacement and communication conditions, and is stored in the COMTRADE format, and is not lost during power outages. The waveform record can be divided into three stages, and the records include the recording of three periods before the event is triggered, the duration of the event, and after the end of the event; it also provides information security protection functions, including physical security (which can be controlled through panel operation and communication ports to prevent unauthorized personnel from accessing The risk of misoperation of the device), Web management interface security (with client authentication, access authorization, user authentication, communication encryption and data integrity and anti-replay attack functions), audit security (each audit record has basic information that can be used for event tracing and a timestamp based on system time; it can also protect audit information and audit functions from unauthorized access, modification and deletion, and adopt a cyclic overwriting audit record capacity management strategy), configuration backup and recovery (supports independent backup and recovery of various configurations), etc.; it can also use 2-way switch input, the excitation mode is 24VDC internal excitation, which is used to detect the status of external passive contacts. The real-time status of the switch input can be viewed through the LCD display or communication, and the switch position change event is recorded in the monitoring event, with a time resolution of 1ms; it can also use 2-way relay output for alarm output. The relays provided have the following control modes: test (mainly used for relay testing, which can be operated through the panel and communication), remote control (when remotely controlling, you can choose the hold mode, or the pulse automatic return, the pulse width setting range is 0~600.0 seconds, with 0.1 second for stepping, if set to 0, it is in hold mode), set value limit exceeding (can trigger relay action, when the limit is exceeded, the relay returns), etc. The priority of controlling the relay is: test operation> alarm operation> remote control operation> other export operations. When performing panel operation, other operations cannot be performed; it can also support Modbus through 2 Ethernet interfaces (P1, P2). TCP protocol, 1 RS485 interface, supports ModbusRTU protocol, can be connected to various power monitoring networks, the host computer software can read and display all measured parameters and status information, data records, etc. through any of the above communication ports, and can receive host computer remote control commands, the Ethernet port also has the function of preventing network storms; it can also support https access, support client digital certificate verification, support user name and password access with different authority levels, and use national secret algorithm to encrypt data and transmit application data on the basis of https. Key file import and export use national secret algorithm for encryption and hash verification, and use https protocol communication. While providing its own digital certificate to the client (browser) for authentication, the server (device) can also require the client to provide a digital certificate to authenticate the client, and control whether to authenticate the client through the Web client authentication parameters. When the client authentication function is enabled, the digital certificate must be imported into the browser before the device can be accessed normally, which can be accessed through IE10 (inclusive) and above, Firefox or Google Chrome and other browsers can directly connect to the device to view and set relevant parameters in real time; it also supports SMTP protocol and is compatible with ESMTP, supports password login to mailbox, and fixed value limit crossing, waveform recording, transient disturbance, transient disturbance, rapid voltage change message, EN50160 and daily report can all be sent via email; it also supports software timing and hardware pulse timing, such as software timing through Modbus protocol, which is not affected by the clock source setting. When using IRIG-B timing, GPS differential timing, SNTP network timing or 1588 timing, the clock source needs to be set to the corresponding value. If there is no clock synchronization device in the operating environment, the clock source needs to be set to RTC (internal clock) to ensure the accuracy of the system's travel time. .

[0120] In the embodiment of the present application, by providing a monitoring function, a foundation is laid for timely discovery of abnormal conditions in the target distribution network.

[0121] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0122] Based on the same inventive concept, the embodiment of the present application also provides a distribution network management device for implementing the distribution network management method involved above. The implementation solution provided by the device to solve the problem is similar to the implementation solution recorded in the above method, so the specific limitations in one or more distribution network management device embodiments provided below can refer to the limitations of the distribution network management method above, and will not be repeated here.

[0123] In an exemplary embodiment, Figure 4 As shown, a distribution network management device 1 is provided, comprising: an acquisition module 10, a determination module 20 and a management module 30, wherein:

[0124] The acquisition module 10 is used to acquire the power topology structure and distribution network data of the target distribution network in the target time period.

[0125] The determination module 20 is used to determine the management parameters of the target distribution network in the target period based on the power topology and the distribution network data; wherein the management parameters include at least one of the performance score, frequency change, frequency change rate, voltage change and power change.

[0126] The management module 30 is used to manage the target distribution network based on the management parameters.

[0127] In one embodiment, the determination module 20 is specifically configured to:

[0128] Based on the power topology and distribution network data, determine the index values ​​of the performance indicators corresponding to the target distribution network in the target period; based on the index values ​​of the performance indicators corresponding to the target distribution network in the target period, determine the performance score of the target distribution network in the target period; based on the difference between the rated frequency and the actual frequency corresponding to the target distribution network, determine the frequency change of the target distribution network in the target period; based on the actual frequency and the time length of the target period, determine the frequency change rate of the target distribution network in the target period; based on the difference between the rated voltage and the actual voltage corresponding to the target distribution network, determine the voltage change of the target distribution network in the target period; based on the difference between the rated power and the actual power corresponding to the target distribution network, determine the power change of the target distribution network in the target period.

[0129] In one embodiment, the management module 30 is specifically used for:

[0130] The performance score is compared with the grade threshold, and based on the comparison result, the target evaluation grade corresponding to the target distribution network is determined; if the target evaluation grade is an improved evaluation grade, the improved sub-link corresponding to the target distribution network is determined; and the distribution equipment in the improved sub-link corresponding to the target distribution network is managed.

[0131] In one embodiment, the management module 30 is further configured to:

[0132] Based on the frequency change, the frequency action threshold and the frequency action limit, a target frequency value corresponding to the target distribution network is determined; based on the target frequency value, the frequency of the target distribution network is adjusted.

[0133] In one embodiment, the management module 30 is further configured to:

[0134] The inertia adjustment coefficient is determined based on the rated frequency of the target distribution network, the active power of the new energy units and the equivalent inertia time constant; based on the inertia adjustment coefficient and the frequency change rate of the target distribution network, the frequency of the new energy units in the target distribution network is adjusted.

[0135] In one embodiment, the management module 30 is further configured to:

[0136] Based on the voltage variation, the voltage action threshold and the voltage action limit, a target voltage value corresponding to the target distribution network is determined; based on the target voltage value, the voltage of the target distribution network is adjusted.

[0137] In one embodiment, the management module 30 is further configured to:

[0138] Based on the power variation, the power action threshold and the power action limit, a target power value corresponding to the target distribution network is determined; based on the target power value, the power of the target distribution network is adjusted.

[0139] In one embodiment, the distribution network management device 1 specifically further includes:

[0140] The monitoring module is used to determine the operating status of each power device in the target distribution network based on the distribution network data; based on the operating status of each power device in the target distribution network, output a monitoring log; wherein the monitoring log includes monitoring events and fault locations.

[0141] Each module in the above-mentioned distribution network management device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0142] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 5 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store distribution network related data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a distribution network management method is implemented.

[0143] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0144] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0145] Obtaining the power topology and distribution network data of the target distribution network during the target period;

[0146] Based on the power topology and the distribution network data, determine the management parameters of the target distribution network in the target period; wherein the management parameters include at least one of the performance score, the frequency change, the frequency change rate, the voltage change and the power change;

[0147] Based on the management parameters, the target distribution network is managed.

[0148] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0149] Based on the power topology and distribution network data, determine the index values ​​of the performance indicators corresponding to the target distribution network in the target period; based on the index values ​​of the performance indicators corresponding to the target distribution network in the target period, determine the performance score of the target distribution network in the target period; based on the difference between the rated frequency and the actual frequency corresponding to the target distribution network, determine the frequency change of the target distribution network in the target period; based on the actual frequency and the time length of the target period, determine the frequency change rate of the target distribution network in the target period; based on the difference between the rated voltage and the actual voltage corresponding to the target distribution network, determine the voltage change of the target distribution network in the target period; based on the difference between the rated power and the actual power corresponding to the target distribution network, determine the power change of the target distribution network in the target period.

[0150] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0151] The performance score is compared with the grade threshold, and based on the comparison result, the target evaluation grade corresponding to the target distribution network is determined; if the target evaluation grade is an improved evaluation grade, the improved sub-link corresponding to the target distribution network is determined; and the distribution equipment in the improved sub-link corresponding to the target distribution network is managed.

[0152] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0153] Based on the frequency change, the frequency action threshold and the frequency action limit, a target frequency value corresponding to the target distribution network is determined; based on the target frequency value, the frequency of the target distribution network is adjusted.

[0154] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0155] The inertia adjustment coefficient is determined based on the rated frequency of the target distribution network, the active power of the new energy units and the equivalent inertia time constant; based on the inertia adjustment coefficient and the frequency change rate of the target distribution network, the frequency of the new energy units in the target distribution network is adjusted.

[0156] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0157] Based on the voltage variation, the voltage action threshold and the voltage action limit, a target voltage value corresponding to the target distribution network is determined; based on the target voltage value, the voltage of the target distribution network is adjusted.

[0158] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0159] Based on the power variation, the power action threshold and the power action limit, a target power value corresponding to the target distribution network is determined; based on the target power value, the power of the target distribution network is adjusted.

[0160] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0161] Based on the distribution network data, the operating status of each power device in the target distribution network is determined; based on the operating status of each power device in the target distribution network, a monitoring log is output; wherein the monitoring log includes monitoring events and fault locations.

[0162] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0163] Obtaining the power topology and distribution network data of the target distribution network during the target period;

[0164] Based on the power topology and the distribution network data, determine the management parameters of the target distribution network in the target period; wherein the management parameters include at least one of the performance score, the frequency change, the frequency change rate, the voltage change and the power change;

[0165] Based on the management parameters, the target distribution network is managed.

[0166] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0167] Based on the power topology and distribution network data, determine the index values ​​of the performance indicators corresponding to the target distribution network in the target period; based on the index values ​​of the performance indicators corresponding to the target distribution network in the target period, determine the performance score of the target distribution network in the target period; based on the difference between the rated frequency and the actual frequency corresponding to the target distribution network, determine the frequency change of the target distribution network in the target period; based on the actual frequency and the time length of the target period, determine the frequency change rate of the target distribution network in the target period; based on the difference between the rated voltage and the actual voltage corresponding to the target distribution network, determine the voltage change of the target distribution network in the target period; based on the difference between the rated power and the actual power corresponding to the target distribution network, determine the power change of the target distribution network in the target period.

[0168] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0169] The performance score is compared with the grade threshold, and based on the comparison result, the target evaluation grade corresponding to the target distribution network is determined; if the target evaluation grade is an improved evaluation grade, the improved sub-link corresponding to the target distribution network is determined; and the distribution equipment in the improved sub-link corresponding to the target distribution network is managed.

[0170] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0171] Based on the frequency change, the frequency action threshold and the frequency action limit, a target frequency value corresponding to the target distribution network is determined; based on the target frequency value, the frequency of the target distribution network is adjusted.

[0172] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0173] The inertia adjustment coefficient is determined based on the rated frequency of the target distribution network, the active power of the new energy units and the equivalent inertia time constant; based on the inertia adjustment coefficient and the frequency change rate of the target distribution network, the frequency of the new energy units in the target distribution network is adjusted.

[0174] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0175] Based on the voltage variation, the voltage action threshold and the voltage action limit, a target voltage value corresponding to the target distribution network is determined; based on the target voltage value, the voltage of the target distribution network is adjusted.

[0176] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0177] Based on the power variation, the power action threshold and the power action limit, a target power value corresponding to the target distribution network is determined; based on the target power value, the power of the target distribution network is adjusted.

[0178] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0179] Based on the distribution network data, the operating status of each power device in the target distribution network is determined; based on the operating status of each power device in the target distribution network, a monitoring log is output; wherein the monitoring log includes monitoring events and fault locations.

[0180] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0181] Obtaining the power topology and distribution network data of the target distribution network during the target period;

[0182] Based on the power topology and the distribution network data, determine the management parameters of the target distribution network in the target period; wherein the management parameters include at least one of the performance score, the frequency change, the frequency change rate, the voltage change and the power change;

[0183] Based on the management parameters, the target distribution network is managed.

[0184] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0185] Based on the power topology and distribution network data, determine the index values ​​of the performance indicators corresponding to the target distribution network in the target period; based on the index values ​​of the performance indicators corresponding to the target distribution network in the target period, determine the performance score of the target distribution network in the target period; based on the difference between the rated frequency and the actual frequency corresponding to the target distribution network, determine the frequency change of the target distribution network in the target period; based on the actual frequency and the time length of the target period, determine the frequency change rate of the target distribution network in the target period; based on the difference between the rated voltage and the actual voltage corresponding to the target distribution network, determine the voltage change of the target distribution network in the target period; based on the difference between the rated power and the actual power corresponding to the target distribution network, determine the power change of the target distribution network in the target period.

[0186] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0187] The performance score is compared with the grade threshold, and based on the comparison result, the target evaluation grade corresponding to the target distribution network is determined; if the target evaluation grade is an improved evaluation grade, the improved sub-link corresponding to the target distribution network is determined; and the distribution equipment in the improved sub-link corresponding to the target distribution network is managed.

[0188] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0189] Based on the frequency change, the frequency action threshold and the frequency action limit, a target frequency value corresponding to the target distribution network is determined; based on the target frequency value, the frequency of the target distribution network is adjusted.

[0190] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0191] The inertia adjustment coefficient is determined based on the rated frequency of the target distribution network, the active power of the new energy units and the equivalent inertia time constant; based on the inertia adjustment coefficient and the frequency change rate of the target distribution network, the frequency of the new energy units in the target distribution network is adjusted.

[0192] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0193] Based on the voltage variation, the voltage action threshold and the voltage action limit, a target voltage value corresponding to the target distribution network is determined; based on the target voltage value, the voltage of the target distribution network is adjusted.

[0194] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0195] Based on the power variation, the power action threshold and the power action limit, a target power value corresponding to the target distribution network is determined; based on the target power value, the power of the target distribution network is adjusted.

[0196] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0197] Based on the distribution network data, the operating status of each power device in the target distribution network is determined; based on the operating status of each power device in the target distribution network, a monitoring log is output; wherein the monitoring log includes monitoring events and fault locations.

[0198] It should be noted that the information (including but not limited to device information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0199] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0200] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0201] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A distribution network management method, characterized in that: The method comprises: Obtaining the power topology and distribution network data of the target distribution network during the target period; Based on the power topology and the distribution network data, determine the management parameters of the target distribution network in the target period; wherein the management parameters include at least one of a performance score, a frequency change, a frequency change rate, a voltage change, and a power change; The target power distribution network is managed based on the management parameters.

2. The method according to claim 1, characterized in that The power distribution network data includes actual frequency, actual voltage and actual power; The determining, based on the power topology and the distribution network data, management parameters of the target distribution network in the target time period includes: Based on the power topology and the distribution network data, determining an index value of a performance index corresponding to the target distribution network in the target time period; Determining a performance score of the target distribution network in the target time period based on an index value of a performance index corresponding to the target distribution network in the target time period; Determining a frequency change of the target distribution network during the target period based on a difference between a rated frequency and an actual frequency corresponding to the target distribution network; Determining a frequency change rate of the target power distribution network during the target period based on the actual frequency and the time length of the target period; Determining a voltage change of the target distribution network during the target period based on a difference between a rated voltage and an actual voltage corresponding to the target distribution network; Based on the difference between the rated power and the actual power corresponding to the target power distribution network, the power change amount of the target power distribution network in the target time period is determined.

3. The method according to claim 1, characterized in that The managing the target distribution network based on the management parameter includes: Comparing the performance score with the level threshold, and determining the target evaluation level corresponding to the target distribution network according to the comparison result; If the target assessment level is an improvement assessment level, determining the improvement sub-link corresponding to the target distribution network; The power distribution equipment in the improvement sub-link corresponding to the target power distribution network is managed.

4. The method according to claim 1, characterized in that: The managing the target distribution network based on the management parameter includes: Determine a target frequency value corresponding to the target distribution network based on the frequency change, the frequency action threshold and the frequency action limit; Based on the target frequency value, the frequency of the target power distribution network is adjusted.

5. The method according to claim 1, characterized in that The managing the target distribution network based on the management parameter includes: Determining an inertia adjustment coefficient based on the rated frequency of the target distribution network, the active power of the new energy unit and the equivalent inertia time constant; Based on the inertia adjustment coefficient and the frequency change rate of the target distribution network, the frequency of the new energy unit in the target distribution network is adjusted.

6. The method according to claim 1, characterized in that The managing the target distribution network based on the management parameter includes: Determining a target voltage value corresponding to the target distribution network based on the voltage change, the voltage action threshold and the voltage action limit; Based on the target voltage value, the voltage of the target power distribution network is adjusted.

7. The method according to claim 1, characterized in that The managing the target distribution network based on the management parameter includes: Determining a target power value corresponding to the target power distribution network based on the power change amount, the power action threshold and the power action limit; Based on the target power value, the power of the target power distribution network is adjusted.

8. The method according to claim 1, characterized in that The method further comprises: Based on the distribution network data, determining the operating status of each power device in the target distribution network; Based on the operating status of each power device in the target power distribution network, a monitoring log is output; wherein the monitoring log includes monitoring events and fault locations.

9. A distribution network management device, characterized in that: The device comprises: An acquisition module is used to acquire the power topology structure and distribution network data of the target distribution network in the target period; A determination module, configured to determine the management parameters of the target distribution network in the target period based on the power topology and the distribution network data; wherein the management parameters include at least one of a performance score, a frequency change, a frequency change rate, a voltage change, and a power change; A management module is used to manage the target distribution network based on the management parameters.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

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