Power distribution network data deduction method and system based on topology analysis and storage medium

Abstract

The invention discloses a power distribution network data deduction method and system based on topology analysis, and a storage medium. The method comprises the following steps: (1) loading low-voltage level measurement section data in a power distribution network; (2) topology analysis is carried out based on the section remote signaling state of the switch equipment, and the upstream and downstream relation of the equipment is obtained; (3) data cleaning: removing problem data; (4) performing measurement coverage rate analysis based on the cleaned data, judging measurement acquisition conditions, and adopting different deduction methods according to different measurement acquisition conditions; (5) non-automatic switch state deduction is carried out, a reasonable switch state is given, remote signaling data deduction is realized, and accurate dynamic topology analysis is provided for measurement deduction; (6) according to the current real-time operation direction and the switch deduction state, combined with the collected acquisition data, realizing measurement data deduction; and (7) constructing a data deduction system based on the topology analysis power distribution network data deduction method.

Description

Technical Field

[0001] The present invention relates to the technical field of operation monitoring of distribution networks in new power systems, and particularly to a method, system and storage medium for deducing distribution network data based on topological analysis. Background Art

[0002] On the one hand, due to huge investment, the automation coverage rate of the distribution network has long been unable to meet the requirements of observability and measurability, and related applications based on distribution network calculations have always been difficult to be effectively and practically promoted. On the other hand, with the continuous investment in the informatization construction of the low-voltage distribution network, the gradual advancement of work such as the construction of integrated terminals and the integration of operation and distribution data, the conditions for deducing distribution network data are gradually being met. The distribution network operation state deduction service aims to achieve the transparency of the distribution network operation state through the method of minimizing acquisition and digital technology deduction, so as to support more refined control services under the premise of limited resources.

[0003] Currently, due to data loss or insufficient data quality, it has led to the dilemma of "easy to develop but difficult to apply" for advanced distribution network applications, resulting in low calculation accuracy of advanced applications, being unable to achieve full observability of the measurements of equipment under the feeder in a method with high global calculation efficiency and certain data accuracy, and being unable to analyze equipment with abnormal data, thus providing operation control tools for automation operation and maintenance personnel.

[0004] Therefore, there is an urgent need for a method for deducing distribution network data that can quickly sense and analyze based on the situation of lacking data. Summary of the Invention

[0005] Object of the Invention: The object of the present invention is to provide a method, system and storage medium for deducing distribution network data based on topological analysis to solve the problems in the background art.

[0006] On the one hand, the present invention discloses a method for deducing distribution network data based on topological analysis, including:

[0007] Collecting low-voltage level measurement section data in the distribution network from equipment, and performing topological analysis based on the sectional remote signal status of switch-type equipment. The medium and low voltage levels include the medium-voltage power supply range of the 10 kV voltage level in the distribution network and the low-voltage power supply range of the 220 V or 380 V voltage level.

[0008] Performing data cleaning on the low-voltage level measurement section data in the distribution network, and performing measurement coverage analysis based on the collected data after cleaning to judge the measurement acquisition situation.

[0009] Performing non-automated switch state deduction to obtain the switch deduction state, and combining the collected data and the measurement acquisition situation to perform distribution network data deduction.

[0010] Further, the low-voltage measurement section data in the distribution network is collected from devices, including the outgoing switch of the 10 kV breaker in the main network, the automatic distribution network switch on the 10 kV medium-voltage line, the distribution network transformer, the low-voltage fusion terminal, and the low-voltage intelligent switch.

[0011] Further, the data sources of the low-voltage measurement section data in the distribution network include the EMS system, the power consumption information collection system, the distribution automation system, and the distribution network cloud master station system.

[0012] Further, the steps of the topology analysis include:

[0013] (1) Obtain the outgoing breaker of the substation corresponding to the feeder and the first feeder section according to the feeder identification information in the low-voltage measurement section data of the distribution network;

[0014] (2) Conduct topology power supply range analysis from the first feeder section to the medium-voltage side of the distribution network transformer. The search boundary conditions include: switch devices with a remote signaling state of off, or: there are no other devices or distribution network transformers downstream of the switch device;

[0015] (3) Extend the topology downward from the low-voltage side of the distribution network transformer with the low-voltage winding side of the distribution network transformer as the device connection starting point. The search boundary conditions include: switch devices with a remote signaling state of off, or: there are no other devices downstream of the switch device.

[0016] Further, the data cleaning includes:

[0017] (1) Data with measured values significantly exceeding the empirical value range and the theoretical value range;

[0018] (2) Data with mismatched PQI and the calculated difference exceeding the set threshold. The calculation steps of the calculated difference include:

[0019] The apparent power S1 based on the active power P and the reactive power Q is:

[0020]

[0021] Based on the current U AB and the voltage I A The calculation formula for the apparent power S2 is:

[0022]

[0023] The calculated difference is:

[0024]

[0025] (3) Data with no change in telemetry for a long time;

[0026] (4) Eliminate data beyond the empirical value range and theoretical value range, measurement data with mismatched PQI, and telemetry data with no change for a long time.

[0027] Furthermore, the measurement coverage analysis includes:

[0028] (1) Conduct in-depth statistics and enumeration on the currently accessed data, and carefully sort out the data acquisition situations of each outlet switch, sectionalizing switch, and branch switch on the current line and substation area;

[0029] (2) At the same time, integrate the distribution transformer data collected by the integrated terminal and the power consumption acquisition, and analyze whether the measurement on the feeder and substation area meets the minimum acquisition requirements;

[0030] (3) Classify different measurement acquisition situations, including measurement redundancy, minimum acquisition, partial acquisition, and no acquisition.

[0031] Furthermore, the non-automated switch status deduction includes:

[0032] The first case: For a non-automated switch with an actual status of off position and non-zero cumulative measurement downstream, if there is no power source point downstream of this non-automated switch and more than 80% of the distribution transformers have measurement data, and closing the switch will not form a loop network, then the deduced status of this non-automated switch is on position;

[0033] The second case: For a non-automated switch with an actual status of on position and zero cumulative measurement downstream, the distribution transformer downstream of this non-automated switch is de-energized. Aggregate the de-energized signals of the downstream distribution transformers and search for the common switch of all de-energized distribution transformers. If this non-automated switch is the closest common switch to the distribution transformer, then the deduced status of this non-automated switch is off position;

[0034] The third case: Combine the field operation ticket and work ticket information, and use natural language recognition and processing technology to locate the switch name and the on / off description in the ticket covering switch operations.

[0035] Furthermore, the distribution network data deduction uses Kirchhoff's current law as the calculation criterion on the premise of ignoring line impedance, takes the feeder as the minimum calculation unit, and calculates the power, current, and voltage data of all distribution network switches in the feeder. The process includes:

[0036] Perform full data complementation of the load;

[0037] Start from the load power data to conduct branch topology power flow calculation, and calculate the power at the beginning and end of the branch, branch current, and node voltage;

[0038] According to the branch power flow calculation, obtain the power and current of all distribution network switches and distribution network transformers in the feeder.

[0039] On the other hand, the present invention also discloses a distribution network data deduction system based on topological analysis, including:

[0040] A real-time topological analysis module, which is used to collect low-voltage level measurement section data in the distribution network from devices, and perform topological analysis based on the sectional remote signaling status of switch devices;

[0041] A data processing module, which is used to clean the measurement data; analyze the measurement coverage rate according to the results of the real-time topological analysis module, and judge the measurement acquisition situation;

[0042] A deduction calculation module, which is used to perform non-automated switch state deduction, and perform distribution network data deduction calculation according to the results of the real-time topological analysis module and the data processing module.

[0043] Furthermore, the low-voltage level measurement section data in the distribution network is collected from devices, and the devices include the outgoing line switch of the 10kV breaker in the main network, the 10kV medium-voltage line automated distribution network switch, the distribution network transformer, the low-voltage fusion terminal, and the low-voltage intelligent switch.

[0044] Furthermore, the data sources of the low-voltage level measurement section data in the distribution network include the EMS system, the power consumption information collection system, the distribution automation system, and the distribution network cloud master station system.

[0045] Furthermore, the steps for the data processing module to perform topological analysis include:

[0046] (1) Obtain the substation outgoing line breaker and the first-end feeder segment corresponding to the feeder according to the feeder identification information in the low-voltage level measurement section data of the distribution network;

[0047] (2) Starting from the first-end feeder segment, perform topological power supply range analysis towards the medium-voltage side of the distribution network transformer, and the search boundary conditions include: switch devices with a remote signaling status of off, or: there are no other devices or distribution network transformers downstream of the switch device;

[0048] (3) Starting from the low-voltage winding side of the distribution network transformer, perform topology extension downward with the low-voltage side of the distribution network transformer as the device connection starting point, and the search boundary conditions include: switch devices with a remote signaling status of off, or: there are no other devices downstream of the switch device.

[0049] Furthermore, the data processing module performs data cleaning including:

[0050] (1) Data with measurement values significantly exceeding the empirical value range and the theoretical value range;

[0051] (2) Data with PQI mismatch and the calculated difference exceeding the set threshold, and the calculation steps for the calculated difference include:

[0052] The apparent power S1 based on the active power P and the reactive power Q is as follows:

[0053]

[0054] Based on the current U AB and the voltage I A The calculation formula for the apparent power S2 is:

[0055]

[0056] The calculated difference is:

[0057]

[0058] (3) Telemeter data with no change for a long time;

[0059] (4) Eliminate data beyond the empirical value range and the theoretical value range, measurement data with PQI mismatch, and telemeter data with no change for a long time.

[0060] Furthermore, the measurement coverage analysis of the data processing module includes:

[0061] (1) Conduct in-depth statistics and enumeration on the currently accessed data, and carefully sort out the data acquisition situations of each outlet switch, sectionalizing switch, and branch switch on the current line and substation area;

[0062] (2) At the same time, integrate the distribution transformer data collected by the fusion terminal and the power consumption acquisition, and analyze whether the measurement on the feeder and substation area meets the minimum acquisition requirements;

[0063] (3) Classify different measurement acquisition situations, including measurement redundancy, minimum acquisition, partial acquisition, and no acquisition.

[0064] Furthermore, the non-automated switch status deduction includes:

[0065] The first case: For a non-automated switch with an actual status of off position and a non-zero cumulative measurement downstream, if there is no power source point downstream of this non-automated switch and more than 80% of the distribution transformers have measurement data, and closing the switch will not form a loop network, then the deduced status of this non-automated switch is on position;

[0066] The second case: For a non-automated switch with an actual status of on position and a cumulative measurement of 0 downstream, the distribution transformers downstream of this non-automated switch are de-energized. Aggregate the de-energization signals of the downstream distribution transformers and search for the common switch of all de-energized distribution transformers. If this non-automated switch is the common switch closest to the distribution transformer, then the deduced status of this non-automated switch is off position;

[0067] The third case: Combining the on-site operation ticket and work ticket information, the switch name positioning and opening / closing description positioning of the ticket covering switch operations are performed through natural language recognition and processing technology.

[0068] Furthermore, the power distribution network data deduction uses Kirchhoff's current law as the calculation criterion on the premise of ignoring the line impedance, takes the feeder as the minimum calculation unit, and calculates the power, current, and voltage data of all power distribution network switches in the feeder. The process includes:

[0069] Perform full data complementation of the load;

[0070] Start from the load power data to perform branch topological power flow calculation, and calculate the power at the beginning and end of the branch, branch current, and node voltage;

[0071] According to the branch power flow calculation, obtain the power and current of all power distribution network switches and power distribution network transformers in the feeder.

[0072] In a third aspect, the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, all steps of the foregoing method are implemented.

[0073] Beneficial effects: Compared with the prior art, the present invention has the following remarkable advantages: By means of the innovation of the present invention to integrate multi-source data and data complementation, the dilemma of "easy to develop but difficult to apply" in the advanced applications of the power distribution network caused by data loss or insufficient data quality is solved, and the effective perception rate of the power distribution network is improved;

[0074] For the long-term inability of the power distribution network automation coverage rate to meet the needs of observable and measurable, the data deduction based on the topological analysis method innovated by the present invention can achieve the observability of the measurement data of all nodes of the power distribution network equipment;

[0075] Through the data deduction application program based on topological analysis designed by the present invention, it can help the operation personnel to achieve refined operation and maintenance of the power distribution network, and provide a powerful analysis tool for various advanced operation and control of the power distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Figure 1 is a flowchart of the present invention;

[0077] Figure 2 is an example of non-acquisition deduction of the present invention;

[0078] Figure 3 is an example of deduction based on distribution transformer data of the present invention;

[0079] Figure 4 is an example of deduction based on power distribution network switch data of the present invention;

[0080] Figure 5Deduction example of full data acquisition for the present invention;

[0081] Figure 6 Data interaction logic diagram of the present invention;

[0082] Figure 7 Schematic diagram of the system interface of the present invention. Specific implementation manners

[0083] The present invention will be further clarified below in conjunction with the accompanying drawings and specific implementation manners. It should be understood that the following specific implementation manners are only used to illustrate the present invention and not to limit the scope of the present invention. After reading the present invention, various equivalent modifications of the present invention by those skilled in the art fall within the scope defined by the appended claims of this application.

[0084] An embodiment of the present invention provides a method for deducing distribution network data based on topological analysis. As Figure 1 shown in the flowchart of this method, it includes the following steps:

[0085] Step 1: Load the measurement section data of the distribution network. The equipment sources of the measurement section data of the low and medium voltage levels in the distribution network include, but are not limited to, the outgoing switches of the main network 10kv circuit breakers, 10kv medium voltage line automation distribution network switches, distribution network transformers, low voltage fusion terminals, and low voltage intelligent switches. The data sources of the measurement section data of the low and medium voltage levels in the distribution network include, but are not limited to, the ems system, the power consumption information acquisition system, the distribution automation system, and the distribution network cloud master station system.

[0086] Step 2: Perform topological analysis based on the sectionalized telecontrol states of switch devices.

[0087] (1) Obtain the substation outgoing circuit breaker and the first section of the feeder corresponding to the feeder according to the feeder identification information in the measurement section data of the low and medium voltage levels in the distribution network;

[0088] (2) Start from the first section of the feeder and perform topological power supply range analysis towards the medium voltage side of the distribution network transformer. The search boundary conditions include: switch devices with a telecontrol state of off, or: there are no other devices or distribution network transformers downstream of the switch device;

[0089] (3) The low voltage side of the distribution network transformer extends topologically downward starting from the low voltage winding side of the distribution network transformer. The search boundary conditions include: switch devices with a telecontrol state of off, or: there are no other devices downstream of the switch device.

[0090] Step 3: Data cleaning, eliminating problem data. Specifically: eliminate measurement data that obviously does not conform to physical logic and actual situations, including:

[0091] 1. Data with measurement values significantly exceeding the empirical value range and the theoretical value range;

[0092] 2. When the calculated difference of the PQI mismatch exceeds the set threshold, the calculation formula of the apparent power based on the active power and the reactive power is as follows:

[0093]

[0094] The calculation formula of the apparent power based on the current and the voltage is as follows:

[0095]

[0096] The calculated difference is:

[0097]

[0098] In the formula, ΔS is the calculated difference, S1 is the calculated value of the apparent power based on the active power and the reactive power, and S2 is the calculated value of the apparent power based on the current and the voltage.

[0099] 3. Telemetry data with no change for a long time. In this embodiment, the data excluded due to obvious non - compliance with physical logic and actual situations is corrected according to the historical similar - day data curve, and the missing data of the current section is complemented by fitting the data curves of the previous 4 time sections before the current section.

[0100] Step 4: Based on the cleaned data, perform a measurement coverage analysis to judge the measurement acquisition situation, and adopt different deduction methods according to different measurement acquisition situations. Specifically: conduct in - depth statistics and enumeration on the currently accessed data, carefully sort out the data acquisition situations of each outlet switch, sectionalizing switch, and branch switch on the current line and distribution area, and at the same time integrate and fuse the distribution transformer data collected by the terminal and the power consumption acquisition system, and analyze whether the measurements on the feeder and in the distribution area meet the minimum acquisition requirements.

[0101] Step 5: According to the coverage of the effective acquisition points, and ignoring the line impedance, classify the feeder into: measurement redundancy, minimum acquisition, partial acquisition, and no acquisition.

[0102] The situation of no acquisition coverage is: no effective measurement acquisition.

[0103] The situation of measurement redundancy acquisition coverage is: the effective acquisition active / reactive power inflow at any node is equal to the effective acquisition outflow.

[0104] The situation of minimum acquisition coverage is: any node satisfies one of the following two situations:

[0105] 1. The number of devices with effective acquisition active / reactive power inflow at the node is equal to the theoretical number of devices with active / reactive power inflow, and the number of devices with effective acquisition active / reactive power outflow at the node is equal to the theoretical number of devices with active / reactive power outflow - 1;

[0106] 2. The number of effectively collected active / reactive power inflow devices at a node is equal to the theoretical number of active / reactive power inflow devices - 1, and the number of effectively collected active / reactive power outflow devices at a node is equal to the theoretical number of active / reactive power outflow devices;

[0107] The measurement redundancy collection coverage is as follows: any node satisfies one of the following two conditions:

[0108] 1. The number of effectively collected active / reactive power inflow devices at a node is equal to the theoretical number of active / reactive power inflow devices, and the number of effectively collected active / reactive power outflow devices at a node is equal to the theoretical number of active / reactive power outflow devices;

[0109] 2. The node satisfies the minimized collection coverage characteristic. There is at least one node that satisfies the logic of the above condition 1.

[0110] The partial collection coverage is as follows: there are effective measurements in the line / substation area, but the minimized collection coverage and the measurement redundancy collection coverage are not satisfied.

[0111] Step 6: The non - automated switch state deduction is divided into three cases.

[0112] The first case: For a non - automated switch with an actual state of off - position and a non - zero downstream cumulative measurement, if there is no power source point downstream of this non - automated switch and more than 80% of the distribution transformers have measurement data, and closing the switch will not form a loop network, then the deduced state of this non - automated switch is on - position.

[0113] The second case: For a non - automated switch with an actual state of on - position and a downstream cumulative measurement of 0, the distribution transformers downstream of this non - automated switch are de - energized. Aggregate the de - energized signals of the downstream distribution transformers and search for the common switch of all de - energized distribution transformers. If this non - automated switch is the closest common switch to the distribution transformer, then the deduced state of this non - automated switch is off - position.

[0114] The third case: Combine the on - site operation ticket and work ticket information, and use natural language recognition and processing technology to locate the switch name and the on - off description in the ticket covering the switch operation.

[0115] Step 7: Using the principle of Kirchhoff's current law (closed surface KCL), with the feeder as the minimum calculation unit, calculate the power, current, and voltage data of all distribution network switches on the feeder. First, according to the current real-time operation mode, combined with the collected data. Conduct a closed surface analysis on the measurement switches, perform power deduction calculations on the distribution transformers within the closed surface area, distribute the remaining power in the area proportionally, and finally complete the power calculation of all distribution transformers on all closed surfaces of the feeder. Then, based on the distribution transformer power data, conduct branch power flow calculations to obtain the power at the beginning and end of the branch, branch current, and node voltage. Finally, based on the branch power flow calculations, obtain the power, current, and voltage data of all distribution network switches on the feeder, realizing the observability and measurability of all equipment on the feeder.

[0116] Figures 2 to 5 It is a schematic diagram of the deduction in four data collection cases in the embodiment of the present invention.

[0117] As Figure 2 shown, for the deduction without collection, there is no effective measurement collection on the distribution network side, and only a rough deduction of distribution network equipment can be realized on the premise that there is effective data in the main network circuit breaker.

[0118] As Figure 3 shown, for the deduction based on distribution transformer data, in the case of full collection of distribution transformers and no collection of distribution self-switches, the minimum collection can be achieved, and reliable deduction of the measurement of all distribution network switches can be realized.

[0119] As Figure 4 shown, for the deduction based on distribution network switch data, in the case of full collection of distribution self-switches and no collection of distribution transformers, partial collection can be achieved, and relatively reliable deduction of the measurement of all distribution transformers can be realized.

[0120] As Figure 5 shown, for the deduction of full data collection, in the case of full collection of distribution self-switches and full collection of distribution transformers, redundant measurement collection can be achieved, and accurate deduction of the measurement of all equipment can be realized.

[0121] Step 8: Conduct real-time deduction calculation and analysis to obtain the deduction result. Using the measurement data, model data, and dispatcher's manual maintenance status as input parameters, after data cleaning, collection coverage analysis, non-automated switch status deduction, and measurement data deduction, analyze to obtain the deduction result. The deduction result includes the measurement deduction result values of all equipment, the result set with large errors between the measurement collection values and deduction values, and the deduction reliability result of automated equipment. As Figure 6 shown is the data interaction logic diagram of the present invention.

[0122] On the other hand, the present invention also constructs a data deduction system based on the topological analysis of the distribution network data deduction method. In a specific embodiment, the system page is as Figure 7 shown, specifically including:

[0123] A real-time topology analysis module for providing information on the upstream and downstream relationships of various types of equipment and loads on the line and the power supply area on the opposite side of the sectionalizing switch at the boundary.

[0124] A data processing module, including an abnormal data verification and cleaning module and a collection coverage analysis module.

[0125] Among them, the abnormal data verification and cleaning module is used to identify and eliminate incorrect measurement data; the collection coverage analysis module is used to generate a line collection coverage table based on the results of the real-time topology analysis module and the abnormal data verification and cleaning module. This table is structured data of a relational database and contains fields such as line / substation area identification, active power of circuit breakers, reactive power, number of valid current data, active power of distribution network switches, reactive power, number of valid current data, and active power of load equipment, reactive power, and number of valid current data.

[0126] A deduction calculation module for performing deduction calculations on distribution network data based on the results of the real-time topology analysis module and the abnormal data verification and cleaning module, and generating a large error equipment table of measurement acquisition value - deduction value and a reliability result table of automation equipment deduction. The large error equipment table of measurement acquisition value - deduction value is structured data of a relational database and contains fields such as record id, equipment identification, equipment type, measurement type, actual sampling value, calculation result value, difference percentage, calculation time, and result description. The reliability result table of automation equipment deduction is structured data of a relational database and contains fields such as line / substation area identification, number of accurately deducible distribution network switches, number of roughly deducible distribution network switches, number of non-deducible distribution network switches, number of accurately deducible load equipment, number of roughly deducible load equipment, number of non-deducible load equipment, and line / substation area deducibility.

[0127] Specifically, the real-time topology analysis module is used to: generate a network topology structure based on the equipment node number information of the line model and the substation area model, introduce the real-time remote signal status of all switches, analyze and output a tree-shaped network topology structure, and obtain a tree-shaped network structure of the situation where there is no power source point on the opposite side of the switch according to the sectionalizing switch information at the end.

[0128] Specifically, the abnormal data verification and cleaning module is used to: based on data cleaning, eliminate, correct, and complement the logic of problem data, perform abnormal verification and cleaning correction on the measurements of each device involved in the tree-shaped network topology structure, and obtain relatively reliable measurement information.

[0129] Specifically, the collection coverage analysis module is used to: analyze the collection coverage of each line and substation area based on the results of the real-time topology analysis module and the abnormal data verification and cleaning module. Simplify the topological tree-shaped structure, retain the load equipment, and remove the devices without valid measurement acquisitions from the tree-shaped structure. Based on the simplified topological tree-shaped structure, the collection coverage is divided into four types: measurement redundancy, minimized collection, partial collection, and no collection.

[0130] The real-time deduction calculation module is specifically used for: performing distribution network data deduction calculation according to the results of the real-time topology analysis module and the abnormal data verification and cleaning module, and generating a large error equipment table of measurement acquisition values and deduction values and an automation equipment deduction reliability result table. The large error equipment table of measurement acquisition value - deduction value records the equipment whose difference ratio is greater than the system-set threshold, and generates a text description of the data difference.

[0131] In this embodiment, the automation equipment deduction reliability result table is divided into three categories according to the equipment type: line / substation area deducibility, switch deducibility, and load equipment deducibility.

[0132] The line / substation area deducibility refers to whether the load equipment and switches of the line / substation area can deduce the overall situation. Full deducibility means that all equipment can deduce the measurement values, partial deducibility means that only some equipment can deduce the measurement values, and non-deducibility means that no equipment in this line / substation area can deduce the measurement values.

[0133] The switch deducibility refers to analyzing the deduction results of all switches based on the deduction situations of load equipment and other automation switches. Precise deducibility means that among the measurements of the upstream and downstream nodes of the topology, the number of measurement points without valid measurements is less than or equal to 1, and there are no measurement values obtained through data completion or correction, and the measurement value of this equipment can be accurately inferred. Coarse deducibility means that among the measurements of the upstream and downstream nodes of the topology, the number of measurement points without valid measurements is less than or equal to 1, and there are measurement values obtained through data completion or correction, and the measurement value of this equipment can be roughly inferred. Non-deducibility means that among the measurements of the upstream and downstream nodes of the topology, the number of measurement points without valid measurements is greater than 1, and the measurement value of this switch cannot be inferred.

[0134] The load equipment deducibility is determined by comprehensively analyzing the measurement acquisition situation of the upstream automation switch and the measurement acquisition situations of all other downstream load equipment. Precise deducibility means that the measurement of the upstream automation switch is valid and there are no other unmeasured equipment among the downstream load equipment except the target inference equipment. At this time, the deduction nature of the target inference equipment is precise deducibility. Coarse deducibility means that under the premise that the precise deducibility is not satisfied, the result value is inferred by means of the curve value of the historical similar day or the curve fitting result of the recent N cross-section acquisition points. Non-deducibility means that the deduction cannot be performed based on the existing data.

[0135] An embodiment of the present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the computer program is loaded into the processor, it implements any one of the distribution network data deduction methods based on topology analysis.

[0136] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that modifications or equivalent substitutions can still be made to the specific embodiments of the present invention. Any modification or equivalent substitution that departs from the spirit and scope of the present invention should be covered by the scope of the claims of the present invention.

Claims

1. A method for inferring distribution network data based on topological analysis, characterized in that, include: Collect the measurement section data of the medium and low voltage levels of the distribution network from the equipment, and perform topological analysis based on the section telesignaling status of the switch-type equipment; the medium and low voltage levels include the medium voltage power supply range of the distribution network 10kV voltage level and the low voltage power supply range of the 220V or 380V voltage level; Performing data cleaning on the low-voltage level measurement section data of the distribution network, performing measurement coverage analysis based on the collected data obtained after cleaning, and judging the measurement collection situation; Perform non-automatic switch state deduction to obtain the switch deduction state, and perform distribution network data deduction in combination with the collected data and the measurement collection situation.

2. The power distribution network data deduction method according to claim 1, wherein The low-voltage level measurement section data in the distribution network is collected from switch-type equipment, and the switch-type equipment includes main network circuit breaker outlet switches, line automation distribution network switches, distribution network transformers, low-voltage fusion terminals, and low-voltage intelligent switches.

3. The power distribution network data deduction method according to claim 2, wherein The data sources of the low-voltage level measurement section data in the distribution network include an EMS system, a power consumption information collection system, a distribution automation system, and a distribution network cloud master station system.

4. The power distribution network data deduction method according to claim 1, wherein The steps of topological analysis include: (1) obtaining the substation outgoing line circuit breaker and the head-end feeder section corresponding to the feeder according to the feeder identification information in the low-voltage level measurement section data of the distribution network; (2) Perform a topological power supply range analysis from the head-end feeder segment to the medium-voltage side of the distribution network transformer. The search boundary conditions include: switchgear with a remote signaling status of "off", or: there are no other devices or distribution network transformers downstream of the switchgear; (3) The low-voltage side of the distribution network transformer takes the low-voltage winding side of the distribution network transformer as the starting point for device connection and extends downward. The search boundary conditions include: switch devices with a remote signaling state of "off", or: there are no other devices downstream of the switch devices.

5. The power distribution network data deduction method according to claim 1, wherein The data cleaning includes: (1) Data whose measured values exceed the empirical and theoretical ranges; (2) PQI mismatch, the calculated difference exceeds the set threshold value, and the calculation step of calculating the difference includes: The apparent power S1 based on active power P and reactive power Q is: Based on current U AB and voltage I A The calculation formula for apparent power S2 is: The calculated difference is: (3) Telemetry data that remains unchanged for a long period of time; (4) Eliminate data that exceeds the empirical and theoretical ranges, measurement data that does not match the PQI, and telemetry data that has not changed for a long time.

6. The power distribution network data deduction method according to claim 1, characterized in that The measurement coverage analysis includes: (1) Conduct in-depth statistics and enumeration of the currently accessed data, and sort out the data collection status of each outlet switch, section switch, and branch switch on the current line and substation; (2) Integrate the distribution transformer data collected by the fusion terminal and the user, and analyze whether the measurements on the feeder and substation meet the minimum collection requirements; (3) Classify different measurement acquisition situations, including measurement redundancy, minimized acquisition, partial acquisition, and no acquisition.

7. The power distribution network data deduction method according to claim 1, characterized in that The non-automatic switch state deduction includes: The first case: For a non-automatic switch whose actual state is open and whose downstream cumulative measurement is not 0, if there is no power supply point downstream of this non-automatic switch and more than 80% of the distribution transformers have measurement data, and the switch will not form a ring network when it is closed, then the deduced state of this non-automatic switch is closed; The second case: For a non-automated switch with an actual state of closed and a downstream cumulative measurement of 0, the distribution transformer downstream of this non-automated switch loses power. Aggregate the power loss signals of the downstream distribution transformers and search for the common switch of all the power-loss distribution transformers. If this non-automated switch is the nearest common switch to the distribution transformer, the deduced state of this non-automated switch is open; The third case: Combine the on-site operation ticket and work ticket information, and use natural language recognition and processing technology to locate the switch name and the opening / closing description in the ticket covering switch operations.

8. The power distribution network data deduction method according to claim 1, wherein The power grid data deduction uses Kirchhoff's current law as the calculation criterion on the premise of ignoring line impedance, takes the feeder as the minimum calculation unit, and calculates the power, current, and voltage data of all power grid switches in the feeder. The process includes: Perform full data complementation of the load; Start from the load power data to perform branch topology power flow calculation, and calculate the power at the beginning and end of the branch, the branch current, and the node voltage; According to the branch power flow calculation, obtain the power and current of all power grid switches and power grid transformers in the feeder.

9. A power distribution network data deduction system based on topological analysis, characterized in that, Include: A real-time topology analysis module, which is used to collect the low-voltage level measurement section data in the power grid from the equipment and perform topology analysis based on the sectionalized telecontrol status of the switch equipment; A data processing module, which is used to clean the measurement data; According to the result of the real-time topology analysis module, analyze the measurement coverage rate and judge the measurement acquisition situation; A deduction calculation module, which is used to deduce the state of non-automated switches and perform power grid data deduction calculation according to the results of the real-time topology analysis module and the data processing module.

10. The power distribution network data deduction system according to claim 9, wherein The low-voltage level measurement section data in the power grid is collected from the equipment, and the equipment includes the outgoing switch of the main network 10kV circuit breaker, the 10kV medium-voltage line automated power grid switch, the power grid transformer, the low-voltage fusion terminal, and the low-voltage intelligent switch.

11. The power distribution network data deduction system according to claim 10, wherein The data sources of the low-voltage level measurement section data in the power grid include the EMS system, the power consumption information acquisition system, the distribution automation system, and the power grid cloud master station system.

12. The power distribution network data deduction system according to claim 9, wherein The steps for the data processing module to perform topology analysis include: (1) Obtain the substation outgoing circuit breaker and the first-section feeder corresponding to the feeder according to the feeder identification information in the low-voltage level measurement section data of the power grid; (2) Start from the first-section feeder and perform topology power supply range analysis towards the medium-voltage side of the power grid transformer. The search boundary conditions include: switch equipment with a telecontrol state of open, or: there are no other equipment or power grid transformers downstream of the switch equipment; (3) The low-voltage side of the power grid transformer extends downward in topology with the low-voltage winding side of the power grid transformer as the equipment connection starting point. The search boundary conditions include: switch equipment with a telecontrol state of open, or: there are no other equipment downstream of the switch equipment.

13. The power distribution network data deduction system according to claim 9, characterized in that, The data processing module performs data cleaning including: (1) Data with measurement values significantly exceeding the empirical value range and the theoretical value range; (2) Data with mismatched PQI and a calculated difference exceeding the set threshold. The calculation steps for the calculated difference include: The apparent power S1 based on the active power P and the reactive power Q is: Based on current U AB and voltage I A The calculation formula for apparent power S2 is: The calculated difference is: (3) Data with no change in the telemetry for a long time; (4) Eliminate data that exceeds the empirical and theoretical ranges, measurement data that does not match the PQI, and telemetry data that has not changed for a long time.

14. The power distribution network data deduction system according to claim 9, wherein The measurement coverage analysis of the data processing module includes: (1) Conduct in-depth statistics and enumeration of the currently accessed data, and sort out in detail the data collection of each outlet switch, section switch, and branch switch on the current line and substation; (2) Integrate the distribution transformer data collected by the fusion terminal and the user, and analyze whether the measurements on the feeder and substation meet the minimum collection requirements; (3) Classify different measurement acquisition situations, including measurement redundancy, minimized acquisition, partial acquisition, and no acquisition.

15. The power distribution network data deduction system according to claim 9, wherein The non-automatic switch state deduction includes: The first case: For a non-automatic switch whose actual state is open and whose downstream cumulative measurement is not 0, if there is no power supply point downstream of this non-automatic switch and more than 80% of the distribution transformers have measurement data, and the switch will not form a ring network when it is closed, then the deduced state of this non-automatic switch is closed; The second case: for a non-automatic switch whose actual state is closed and whose downstream cumulative measurement is 0, the distribution transformer downstream of this non-automatic switch loses power, and the downstream distribution transformer power failure signal is aggregated, and the common switch of all the distribution transformers that lose power is searched. If this non-automatic switch is the common switch closest to the distribution transformer, the deduced state of this non-automatic switch is open; The third case: Combined with the on-site operation ticket and work ticket information, the natural language recognition and processing technology is used to locate the switch name and the opening and closing description of the ticket covering the switch operation.

16. The power distribution network data deduction system according to claim 9, characterized in that, The distribution network data deduction adopts Kirchhoff's current law as the calculation criterion under the premise of ignoring the line impedance, takes the feeder as the minimum calculation unit, and calculates the power, current and voltage data of all distribution network switches of the feeder. The process includes: Complete the load data; Start with the load power data to calculate the branch topology flow, and calculate the branch head and end power, branch current, and node voltage; The power and current of all distribution network switches and distribution network transformers of the feeder are calculated based on the branch power flow.

17. 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 the method according to claims 1 to 8 are implemented.

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