Environment-friendly ring main unit primary and secondary fusion control system and method

Abstract

The present application relates to the technical field of intelligent control, and especially relates to a primary and secondary fusion control system and method for an environmental ring network cabinet, comprising a cluster coordination module, obtaining each target power grid partition and substation responsibility points of each target power grid partition; a data acquisition module; a fault diagnosis module, used for single diagnosis and multi-parameter fusion diagnosis according to multi-parameter operation information of the environmental ring network cabinet, making a decision on the fusion control scheme; an operation verification module; a fusion control module; a push alarm module; and an optimization adjustment module. The present application partitions the target power grid region, obtains each target power grid partition and each substation responsibility point, and facilitates the coordination of multiple environmental ring network cabinets in the station and substation. The present application forms a comprehensive judgment of the monitoring data through a combination of multi-parameter fusion diagnosis and single diagnosis, preventing state perception isolation. The present application verifies the fusion control scheme, solving the problem of low fusion control accuracy caused by potential risks in operation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent control, and in particular to a primary and secondary fusion control system and method for an environmentally-friendly ring main unit. BACKGROUND

[0002] With the advancement of smart grid construction, the intelligent control of environmentally-friendly ring main units as key equipment of distribution networks faces new challenges. The existing primary and secondary fusion system has obvious deficiencies: fault diagnosis relies on simple threshold comparison, lacks multi-parameter fusion analysis capability, and is difficult to accurately identify complex faults; the control system has poor coordination, relies on centralized decision-making of the master station, responds slowly, lacks dynamic safety verification of the control scheme, and has the risk of misoperation; the system rule parameters are fixed and cannot be optimized from the operation history, lacking self-adaptive ability. These problems lead to system early warning lag, insufficient control reliability, high operation and maintenance costs, and there is an urgent need to develop a new generation of control systems with intelligent diagnosis, collaborative control and self-optimization capabilities.

[0003] Chinese Patent Publication No. CN109066382B discloses a primary and secondary fusion intelligent environmentally-friendly ring main unit, which includes a cabinet body, an insulating layer fixed to the inner surface of the cabinet body, a cabinet door, an electrical installation plate fixed in the cabinet body, a low-voltage power supply fixed to the cabinet body, and a temperature difference sensing component fixed to the bottom surface of the cabinet body. The temperature difference sensing component uses the material's own characteristics to control the size of the air vent opening by mechanical force and magnetic force to regulate the temperature inside the cabinet. The environmentally-friendly ring main unit has more stable working temperature and can prevent condensation. However, this scheme does not coordinate multiple environmentally-friendly ring main units in the station, the state perception is isolated, and the fusion control scheme is not verified for operation, which cannot solve the problem of low fusion control accuracy due to potential risks of operation. SUMMARY

[0004] Therefore, the present application provides a primary and secondary fusion control system and method for an environmentally-friendly ring main unit to overcome the problem that multiple environmentally-friendly ring main units in the station cannot be coordinated, the state perception is isolated, and the fusion control scheme is not verified for operation, which cannot solve the problem of low fusion control accuracy due to potential risks of operation in the prior art.

[0005] To achieve the above-mentioned purpose, on the one hand, the present application provides a primary and secondary fusion control system for an environmentally-friendly ring main unit, which comprises:

[0006] A cluster coordination module is used to partition and elect responsibility for a target power grid area, and obtain each target power grid partition and a substation responsibility point of each target power grid partition;

[0007] A data acquisition module is used to acquire multi-parameter operation information of the environmentally-friendly ring main unit through the substation responsibility point;

[0008] The fault diagnosis module is configured to perform single-item diagnosis and multi-parameter fusion diagnosis according to the multi-parameter operation information of the environmental protection ring network cabinet, to obtain fault states, fault causes and fault positions of each target power grid partition in a target power grid region, and to make a decision on a fusion control scheme;

[0009] The operation verification module is configured to perform operation verification on the fusion control scheme to obtain a scheme verification result, to judge a predicted execution of the fusion control scheme according to the scheme verification result, to perform secondary operation verification according to the predicted execution, and to obtain a secondary operation verification result;

[0010] The fusion control module is configured to execute the fusion control scheme according to the predicted execution and the secondary operation verification result.

[0011] The push alarm module is configured to push an alarm according to the secondary operation verification result.

[0012] The optimization adjustment module is configured to obtain prominent parameters according to multi-parameter fusion diagnosis features, to optimize a single-item diagnosis process according to the prominent parameters, to analyze abnormal prominent parameters according to a number of secondary operation verifications and a number of push alarms, to adjust the prominent parameters and the single-item diagnosis process according to the abnormal prominent parameters, and to optimize and adjust each target power grid partition and a substation responsibility point of each target power grid partition according to the number of push alarms.

[0013] Further, the cluster coordination module sets a partition rule as dividing a group of environmental protection ring network cabinets connected to a same section of bus into one target power grid partition, and partitions a target power grid region according to the partition rule to obtain each target power grid partition.

[0014] The cluster coordination module obtains CPU idle rates A, wired Ethernet bandwidth scores B, topology centrality scores C, power supply reliability scores D and historical credit scores E of each substation in each target power grid partition, and calculates a responsibility reliability coefficient F of each substation according to the CPU idle rates A, the wired Ethernet bandwidth scores B, the topology centrality scores C, the power supply reliability scores D and the historical credit scores E, where F=A*0.4+B*0.3+C*0.15+D*0.1+E*0.05. Each substation broadcasts its responsibility reliability coefficient to all other substations in a target power grid partition to which the substation belongs. The substation with the highest responsibility reliability coefficient broadcasts an announcement message to all other substations in the target power grid partition to which the substation belongs. After receiving the announcement message, each of the other substations verifies that the score of the substation is indeed the highest and that the communication is normal, and then replies with an acknowledgement message. When the acknowledgement rate of all the other substations in the target power grid partition to which the substation belongs exceeds 80%, the DTU of the substation is set as a substation responsibility point.

[0015] Further, the fault diagnosis module compares the environmental protection ring main unit multi-parameter operation information with the key parameters to obtain each single comparison result, and performs single diagnosis according to each single comparison result to obtain the fault state, fault cause and fault location of each target power grid partition in the target power grid region;

[0016] The fault diagnosis module generates an environmental protection ring main unit multi-parameter operation multi-dimensional data graph according to the environmental protection ring main unit multi-parameter operation information, inputs the environmental protection ring main unit multi-parameter operation multi-dimensional data graph into a multi-parameter fusion diagnosis convolution model for multi-parameter fusion diagnosis, obtains a result output by the multi-parameter fusion diagnosis convolution model, and takes the result as a multi-parameter fusion diagnosis result. The multi-parameter fusion diagnosis result is the fault state, fault cause and fault location of each target power grid partition in the target power grid region.

[0017] Further, the fault diagnosis module inputs the fault cause and the fault location into a random forest decision model for decision, obtains a decision result output by the random forest decision model, and takes the decision result as a fusion control scheme.

[0018] Further, the operation verification module obtains a logic verification parameter Y1, a static security verification parameter Y2 and a dynamic process verification parameter Y3 of the fusion control scheme, and calculates a scheme verification parameter YA according to the logic verification parameter Y1, the static security verification parameter Y2 and the dynamic process verification parameter Y3, and sets YA=Y1×Y2×Y3. The operation verification module judges a scheme verification result according to the scheme verification parameter YA, wherein:

[0019] When YA=1, the operation verification module judges that the scheme verification result is scheme verification normal;

[0020] When YA=0, the operation verification module judges that the scheme verification result is scheme verification abnormal;

[0021] The operation verification module judges the predicted execution situation of the fusion control scheme according to the scheme verification result, wherein:

[0022] When the scheme verification result is scheme verification normal, the operation verification module determines that the predicted execution situation of the fusion control scheme is execution normal;

[0023] When the scheme verification result is scheme verification abnormal, the operation verification module determines that the predicted execution situation of the fusion control scheme is execution abnormal;

[0024] The operation verification module performs secondary operation verification according to the predicted execution situation to obtain a secondary operation verification result, wherein:

[0025] When the predicted execution condition is execution abnormality, the operation verification module determines to perform secondary operation verification on the fusion control scheme, and obtains a secondary operation verification result; the secondary operation verification result includes secondary operation verification normality and secondary operation verification abnormality.

[0026] When the predicted execution condition is execution normality, the operation verification module determines not to perform secondary operation verification on the fusion control scheme.

[0027] Further, the fusion control module performs execution on the fusion control scheme according to the predicted execution condition and the secondary operation verification result, wherein:

[0028] When the predicted execution condition is execution normality, the fusion control module performs execution on the fusion control scheme, and marks the fusion control scheme as a primary normal scheme.

[0029] When the predicted execution condition is execution abnormality, the fusion control module performs execution on the fusion control scheme according to the secondary operation verification result, wherein:

[0030] When the secondary operation verification result is secondary operation verification normality, the fusion control module performs execution on the fusion control scheme, and marks the fusion control scheme as a secondary normal scheme.

[0031] When the secondary operation verification result is secondary operation verification abnormality, the fusion control module does not perform execution on the fusion control scheme, and marks the fusion control scheme as a secondary abnormal scheme.

[0032] Further, the push alarm module performs push alarm according to the secondary operation verification result, wherein:

[0033] When the secondary operation verification result is secondary operation verification normality, the push alarm module does not perform push alarm.

[0034] When the secondary operation verification result is secondary operation verification abnormality, the push alarm module performs push alarm, and the push alarm module performs pop-up window push alarm on alarm information through a terminal, the alarm information including a current time, the fusion control scheme, a fault reason corresponding to the fusion control scheme, a fault position, a logic verification parameter, a static security verification parameter and a dynamic process verification parameter.

[0035] Furthermore, the optimization and adjustment module acquires a normal solution, the fault cause and fault location corresponding to the normal solution, a normal solution, the fault cause and fault location corresponding to the normal solution, a normal solution, a fault cause and fault location corresponding to the normal solution, a fault abnormal solution, the fault cause, fault location, logic verification parameters, static security verification parameters, dynamic process verification parameters, re-logic verification parameter Y1a, re-static security verification parameter Y2a, and re-dynamic process verification parameter Y3a for an optimization cycle, and uses them as multi-parameter fusion diagnostic features. The optimization and adjustment module inputs the multi-parameter fusion diagnostic features into the prominence recognition tree model, and obtains the parameter with the highest importance score output by the prominence recognition tree model, and uses it as the prominence parameter.

[0036] When optimizing a single diagnostic process, the optimization and adjustment module adds prominent parameters as key parameters to the single diagnostic process.

[0037] The optimization and adjustment module obtains the number of secondary operation verifications k1 and the number of push alarms k2 corresponding to the prominent parameters within an optimization cycle, and calculates the number of abnormal protrusions KA, setting KA=k1+k2. The number of abnormal protrusions KA is compared with the preset number of abnormal protrusions KA0, and the abnormal protrusion parameters are analyzed based on the comparison results, wherein:

[0038] When KA < KA0, the optimization adjustment module determines that the prominent parameter is not an abnormally prominent parameter;

[0039] When KA≥KA0, the optimization adjustment module determines that the prominent parameter is an abnormally prominent parameter;

[0040] When the prominent parameter is an abnormally prominent parameter, the optimization and adjustment module adjusts the prominent parameter to a non-prominent parameter and cancels the inclusion of the prominent parameter as a key parameter in the single diagnostic process.

[0041] Furthermore, the optimization and adjustment module obtains the number of push alarms G, compares the number of push alarms G with the preset number of push alarms G0, and optimizes and adjusts each target power grid zone and the substation responsibility points of each target power grid zone according to the comparison result, wherein:

[0042] When G < G0, the optimization and adjustment module determines that it will not optimize or adjust the target power grid partitions and the substation responsibility points of the target power grid partitions.

[0043] When G is greater than or equal to G0, the optimization adjustment module determines to optimize and adjust the target power grid partitions and the substation responsibility points of the target power grid partitions, re-partitions the target power grid area according to the partition rule, re-calculates the responsibility reliability coefficients of the substations, and re-selects the substation responsibility points of the target power grid partitions.

[0044] In another aspect, the application also provides a method for primary and secondary fusion control of an environmentally-friendly ring main unit, comprising:

[0045] Step S1, partitioning a target power grid area to obtain target power grid partitions, and performing responsibility selection for each substation in the target power grid partitions to obtain substation responsibility points of the target power grid partitions;

[0046] Step S2, obtaining multi-parameter operation information of the environmentally-friendly ring main unit through the substation responsibility points;

[0047] Step S3, performing single-item diagnosis and multi-parameter fusion diagnosis according to the multi-parameter operation information of the environmentally-friendly ring main unit to obtain a fault state, a fault cause and a fault location of each target power grid partition in the target power grid area, and making a decision on a fusion control scheme according to the fault cause and the fault location;

[0048] Step S4, performing operation verification on the fusion control scheme to obtain a scheme verification result, and judging a predicted execution of the fusion control scheme according to the scheme verification result;

[0049] Step S5, performing secondary operation verification according to the predicted execution to obtain a secondary operation verification result;

[0050] Step S6, executing the fusion control scheme according to the predicted execution and the secondary operation verification result;

[0051] Step S7, performing push alarm according to the secondary operation verification result;

[0052] Step S8, obtaining a prominent parameter according to the multi-parameter fusion diagnosis feature, and optimizing a single-item diagnosis process according to the prominent parameter;

[0053] Step S9, analyzing an abnormal prominent parameter according to a number of secondary operation verifications and a number of push alarms, adjusting the prominent parameter according to the abnormal prominent parameter, and adjusting the single-item diagnosis process;

[0054] Step S10, optimizing and adjusting the target power grid partitions and the substation responsibility points of the target power grid partitions according to the number of push alarms.

[0055] Compared with the prior art, the system has the beneficial effects that: by partitioning the target power grid area, the system obtains each target power grid partition and each substation responsibility point, so as to make the multiple environmental protection ring network cabinets in the substation cooperate, thereby solving the problem of difficulty in cooperation of the multiple environmental protection ring network cabinets in the substation; the system forms comprehensive judgment of the monitoring data in a manner of combination of multi-parameter fusion diagnosis and single diagnosis, so as to prevent state perception isolation; the system performs operation verification on the fusion control scheme, so as to avoid the problem of low fusion control accuracy caused by only paying attention to the correctness of operation and maintenance and operation program and not paying attention to potential risks of operation, wherein: the system organizes originally isolated environmental protection ring network cabinets into an orderly cooperative network through a cluster cooperation module, forms a local command center by electing a substation responsibility point, and avoids each cabinet fighting independently, so as to solve the core problem of difficulty in cooperation of the multiple environmental protection ring network cabinets in the substation; the system builds a unified and efficient data acquisition channel through a data acquisition module, and collects all multi-parameter operation information of the environmental protection ring network cabinets in the whole substation through the substation responsibility point, so as to ensure the comprehensiveness and consistency of the data source; the system quickly locates obvious abnormalities of a single parameter through single diagnosis of a fault diagnosis module, responds quickly, and comprehensively analyzes and judges multiple parameters through multi-parameter fusion diagnosis, so as to discover potential and cross faults, realize early warning and deep diagnosis, and effectively prevent misjudgment and missed judgment caused by state perception isolation; the system extends control from pure logical correctness to process safety through an operation verification module, effectively avoids control failure caused by potential risks, and improves the safety and reliability of system operation; the system ensures accurate landing of decisions through a fusion control module; the system builds an alarm closed loop of man-machine interaction through a push alarm module; and the system has the ability of self-evolution through an optimization adjustment module. BRIEF DESCRIPTION OF DRAWINGS

[0056] Figure 1 FIG. 1 is a structural schematic diagram of an environmental protection ring network cabinet primary and secondary fusion control system according to the present embodiment;

[0057] Figure 2 FIG. 2 is a flowchart of an environmental protection ring network cabinet primary and secondary fusion control method according to the present embodiment. DETAILED DESCRIPTION

[0058] In order to make the purpose and advantages of the present application more clear and explicit, the present application is further described below in combination with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present application, and do not limit the present application.

[0059] The preferred embodiments of the present application are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present application, and are not intended to limit the protection scope of the present application.

[0060] In addition, it needs to be explained that, in the description of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connecting" should be understood broadly, for example, can be fixed connection, can also be detachable connection, or integrally connected; can be mechanical connection, can also be electrical connection; can be directly connected, can also be indirectly connected through an intermediate medium, can be the communication inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0061] Please refer to Figure 1 As shown in the figure, it is a structural schematic diagram of the primary and secondary fusion control system of the environmental protection ring main unit, the system comprises:

[0062] The cluster cooperation module is used to partition and elect responsibility for the target power grid area, to obtain each target power grid partition and the substation responsibility point of each target power grid partition;

[0063] The data acquisition module is used to acquire the multi-parameter operation information of the environmental protection ring main unit through the substation responsibility point, and the data acquisition module is connected with the cluster cooperation module;

[0064] The fault diagnosis module is used to perform single diagnosis and multi-parameter fusion diagnosis according to the multi-parameter operation information of the environmental protection ring main unit, to obtain the fault state, fault reason and fault position of each target power grid partition in the target power grid area, and to make a decision on the fusion control scheme, and the fault diagnosis module is connected with the data acquisition module;

[0065] The operation verification module is used to verify the operation of the fusion control scheme, to obtain a scheme verification result, and to judge the predicted execution of the fusion control scheme according to the scheme verification result, and is also used to perform secondary operation verification according to the predicted execution, to obtain a secondary operation verification result, and the operation verification module is connected with the fault diagnosis module;

[0066] The fusion control module is used to execute the fusion control scheme according to the predicted execution and the secondary operation verification result, and the fusion control module is connected with the operation verification module;

[0067] The push alarm module is used to push an alarm according to the secondary operation verification result, and the push alarm module is connected with the fusion control module;

[0068] The optimization adjustment module is connected with the push alarm module, and is used for obtaining prominent parameters according to the multi-parameter fusion diagnosis feature, and optimizing single diagnosis processes according to the prominent parameters, and analyzing abnormal prominent parameters according to the number of operation verifications and the number of push alarms, and adjusting the prominent parameters and the single diagnosis processes according to the abnormal prominent parameters, and optimizing and adjusting the target power grid partitions and the substation responsibility points of each target power grid partition according to the number of push alarms.

[0069] In particular, the system is arranged in the primary and secondary fusion control terminal of the environmental protection ring network cabinet, the system obtains each target power grid partition and each substation responsibility point by partitioning the target power grid area, so as to make the multiple environmental protection ring network cabinets in the substation work together, thereby solving the problem of difficulty in cooperation of multiple environmental protection ring network cabinets in the substation, the system forms comprehensive judgment of monitoring data by combining multi-parameter fusion diagnosis and single diagnosis, so as to prevent state perception isolation, the system avoids the problem of low fusion control accuracy caused by only paying attention to the correctness of operation and maintenance and operation program without paying attention to the potential risk of operation by operation verification of the fusion control scheme, wherein the system organizes originally isolated environmental protection ring network cabinets into an orderly cooperative network through the cluster cooperation module, forms a local command center by electing substation responsibility points, avoids each cabinet fighting separately, and solves the core problem of difficulty in cooperation of multiple environmental protection ring network cabinets in the substation, the system builds a unified and efficient data acquisition channel through the data acquisition module, and collects all multi-parameter operation information of the environmental protection ring network cabinets in the substation through the substation responsibility points, so as to ensure the comprehensiveness and consistency of the data source, the single diagnosis of the fault diagnosis module quickly locates obvious abnormalities of a single parameter, responds quickly, and the multi-parameter fusion diagnosis can find potential and cross faults, realize early warning and deep diagnosis, and effectively prevent misjudgment and missed judgment caused by state perception isolation, the operation verification module extends the control from simple logical correctness to process safety, effectively avoids control failure caused by potential risks, and improves the safety and reliability of system operation, the fusion control module ensures the accurate landing of decision-making, the push alarm module builds a man-machine interactive alarm closed loop, and the optimization adjustment module enables the system to have the ability of self-evolution.

[0070] In particular, the primary and secondary fusion control terminal of the environmental protection ring network cabinet refers to an intelligent hardware and software system integrating primary equipment and secondary equipment, the target power grid area refers to the power grid range managed by the primary and secondary fusion control terminal of the environmental protection ring network cabinet, and the substation refers to a physically concentrated installation point in the distribution network, usually referred to as a distribution room, a switching station, etc. Multiple environmental protection ring network cabinets are installed in the concentrated installation point to jointly complete power distribution and control in a region.

[0071] Specifically, the cluster coordination module sets a partition rule to divide a group of environmental protection ring network cabinets connected to the same section of bus into a target power grid partition, and the cluster coordination module partitions the target power grid area according to the partition rule to obtain each target power grid partition.

[0072] Specifically, the partition rule refers to a standard for partitioning the target power grid area to obtain each target power grid partition. The embodiment does not limit the identification method of the group of environmental protection ring network cabinets on the same section of bus, and a person skilled in the art can freely set it as long as it meets the accurate identification requirement of the group of environmental protection ring network cabinets on the same section of bus. It can be set to collect the position state of the key switch in the power grid, especially the bus tie switch and the environmental protection ring network cabinet incoming line switch in real time, and based on the preset power grid topology model, run the graph theory connectivity analysis algorithm to automatically find out all the environmental protection ring network cabinet sets that are directly connected to the same section of bus through the closed incoming line switch, and dynamically identify the set as a target power grid partition.

[0073] Specifically, the cluster coordination module obtains the CPU idle rate A, wired Ethernet bandwidth score B, topology centrality score C, power supply reliability score D, and historical credit score E of each substation in each target power grid partition, and calculates the responsibility reliability coefficient F of each substation according to the CPU idle rate A, wired Ethernet bandwidth score B, topology centrality score C, power supply reliability score D, and historical credit score E. Set F=A*0.4+B*0.3+C*0.15+D*0.1+E*0.05. Each substation broadcasts its responsibility reliability coefficient to all other substations in the target power grid partition to which the substation belongs. The substation with the highest responsibility reliability coefficient broadcasts an "I am the substation responsibility point" announcement message to all other substations in the target power grid partition to which it belongs. After receiving the announcement message, the other substations verify that the substation's score is indeed the highest and that the communication is normal, and then reply with a confirmation message. When the confirmation rate of all other substations in the target power grid partition to which the substation belongs exceeds 80%, the DTU of the substation is set as the substation responsibility point.

[0074] In particular, the CPU idle rate A refers to the percentage of the total time that the DTU is not occupied by processes within a certain time window, such as 1 hour. A = (1 - CPU utilization) x 100% is set. The higher the value of the CPU idle rate A, the greater the potential of the DTU to handle complex calculations. The system performance monitor directly reads the value of the CPU idle rate A through the operating system built-in the DTU. The wired Ethernet bandwidth score B refers to a score that quantifies the wired network communication capability of the DTU, for example, 0-100 points. B = basic score x (1 - packet loss rate) x (1 - standardized delay) is set. In the embodiment, the standardized delay and packet loss rate are obtained by sending Ping packets and small files to neighbors in the partition through the DTU. The basic score is set manually. For example, the basic score of a gigabit network card is set to be higher than that of a hundred megabit network card. The topology centrality score C refers to a score that measures the degree of centrality of the DTU in the partition power grid topology. The more central the position, the shorter the average path for communication with other nodes in the partition, and the lower the delay. In the embodiment, the partition topology is abstracted as a "graph", the DTU is a "node", and the communication link is an "edge". The closeness centrality algorithm is used, that is, C = 1 / ∑ (the shortest path distance to each other node) is set. The larger the value, the more central the node is in the topology. The power supply reliability score D refers to a score that evaluates the stability of the DTU power supply. In the embodiment, the basic score is obtained through basic evaluation. For example, a DTU equipped with a UPS or a backup battery obtains a high basic score. The power management chip monitors the fluctuation rate of the input voltage and the fault record in real time to convert them into voltage fluctuation penalty points and historical power failure frequency penalty points. The higher the voltage fluctuation, the higher the voltage fluctuation penalty points. The more the power failure frequency, the higher the historical power failure frequency penalty points. D = basic score - voltage fluctuation penalty points - historical power failure frequency penalty points is set. The historical credit score E refers to a "credit score" that reflects the long-term operation stability and reliability of the DTU. In the embodiment, it is set as a cumulative index. The system maintains a credit file for each DTU. The plus items of the credit file are long-term fault-free operation, the number of times of successfully assuming responsibility points, and the number of times of correctly handling faults. The minus items of the credit file are frequent restarts, communication interruptions, false alarms, and downtime when assuming responsibility points. The historical credit score E is calculated through a time decay function, and the recent performance is given a higher weight. In the embodiment, the broadcast mode is set as follows: all DTUs in the same target power grid partition send their election messages through IP multicast in the same local area network. The election message content includes the substation ID, the responsibility reliability coefficient F, and the timestamp. In the embodiment, the identification method of the substation with the highest responsibility reliability coefficient is set as follows: each DTU receives the F values of all other DTUs in the partition after sending its own F value. Each DTU maintains a list locally and sorts all substations, including itself, in descending order according to the F value.If a DTU finds that its own substation ID is at the top of the local list, it identifies itself as the "most reliable substation with the highest responsibility coefficient", and the announcement message refers to a fixed format declaration message sent by the substation identified as the highest, the message content including message type="announcement", sender substation ID, and claimed F value. The embodiment sets a way to verify that the score of the substation is indeed the highest. After other substations receive the announcement message, they will compare it with the first one in the local ranking list. If the sender substation ID and the claimed F value in the announcement message are consistent with the ID and F value of the first one in the local list, the verification is passed. Otherwise, it is considered that the election is invalid or controversial, triggering a re-election. The embodiment sets a way to verify the normal communication. After receiving the announcement message, the DTU preparing to reply to the confirmation sends a reverse echo request packet to the announcer. If the echo reply from the announcer is received within a specified time, such as 100 milliseconds, it is considered that the communication link with the announcer is bidirectional and normal. The embodiment sets a way to reply to a confirmation message. The message is sent directly to the IP address of the announcer through a unicast protocol. The confirmation message content includes message type="confirmation", sender substation ID, and confirmed target substation ID. The confirmation rate refers to the percentage of the number of substations sending confirmation messages in the total number of substation replies in the partition. The embodiment sets the confirmation rate=(number of received confirmation messages) / (total number of DTUs in the partition-1) x 100%. The DTU refers to the intelligent control unit installed in the environmental ring network cabinet.

[0075] In particular, the multi-parameter operation information of the environmentally-friendly ring main unit refers to a collection of various real-time, quasi-real-time and historical data that can comprehensively and multi-dimensionally reflect electrical performance, mechanical health, insulation state and environmental conditions, including electrical operation parameters, equipment state parameters, insulation and health state parameters, gas state parameters and environmental and auxiliary parameters. The electrical operation parameters refer to basic data directly reflecting the power supply state and quality of the environmentally-friendly ring main unit, including current, voltage, power, power quality and power measurement. The equipment state parameters refer to data reflecting the mechanical and operating health state of the switch itself of the environmentally-friendly ring main unit, including switch position state such as the closing / opening position coordinates of circuit breakers, load switches, grounding switches and disconnectors, motor current curve and operating voltage. The insulation and health state parameters refer to data for early detection of potential faults and realization of predictive maintenance, including ultra-high frequency signals, ultrasonic signals, transient ground voltage, cable joint temperature and internal cabinet environment temperature. The environmental and auxiliary parameters refer to data reflecting the operating environment of the environmentally-friendly ring main unit and affecting its long-term reliability, including environmental temperature, humidity and cabinet condensation state data. After obtaining the substation responsibility point, the data acquisition module establishes a stable communication connection between the substation responsibility point and other DTUs in the subarea based on the industrial bus. The substation responsibility point sends a data request command to each DTU in the subarea through a standard industry communication protocol. Upon receiving the data request command, the other DTUs in the subarea immediately package and send the multi-parameter operation information of the cabinet to the substation responsibility point. The substation responsibility point acquires the multi-parameter operation information of the other DTUs in the subarea.

[0076] In particular, the fault diagnosis module compares the multi-parameter operation information of the environmentally-friendly ring main unit with the key parameters to obtain various individual comparison results, and performs individual diagnosis according to the individual comparison results to obtain the fault state, fault cause and fault location of each target power grid subarea in the target power grid area.

[0077] In particular, in the present embodiment, when performing individual diagnosis, the fault diagnosis module sets the key parameters to include a preset phase current R10, a preset zero-sequence current R20, a preset cable joint temperature R30, a preset partial discharge data R40 and a preset gas pressure coefficient R50. The fault diagnosis module compares the multi-parameter operation information of the environmentally-friendly ring main unit with the key parameters item by item. When the multi-parameter operation information of the environmentally-friendly ring main unit is greater than the key parameters, the fault state, fault cause and fault location corresponding to the key parameters are taken as the fault state, fault cause and fault location of each target power grid subarea, wherein:

[0078] The fault state, fault cause and fault location corresponding to the preset phase current R10 are that the fault state is an overcurrent fault, the fault cause is a short circuit fault if the current is extremely large, or an overload if the current continuously exceeds the rated value, and the fault location is a feeder circuit where a circuit breaker is located;

[0079] The fault state, fault cause and fault location corresponding to the preset zero sequence current R20 are that the fault state is a grounding fault, the fault cause is single-phase grounding or cable insulation damage, and the fault location is a line section where the zero sequence current exceeds the standard;

[0080] The fault state, fault cause and fault location corresponding to the preset cable joint temperature R30 are that the fault state is an overheating fault, the fault cause is that the contact resistance is too large or the connecting bolt is loose, and the fault location is a joint where a temperature sensor is installed;

[0081] The fault state, fault cause and fault location corresponding to the preset partial discharge data R40 are that the fault state is insulation deterioration, the fault cause is that there is an insulation defect in the cabinet, and the fault location is an air chamber interval where UHF signals are strongest;

[0082] The fault state, fault cause and fault location corresponding to the preset gas pressure coefficient R50 are that the fault state is a gas pressure fault, the fault cause is that the gas tank sealing fails or the insulation strength decreases, and the fault location is a gas tank of the environmental protection ring network cabinet to which a pressure sensor belongs;

[0083] The fault diagnosis module compares the phase current R1 in the environmental protection ring network cabinet multi-parameter operation information with a preset phase current R10 in the key parameters, to obtain a phase current single item comparison result, wherein:

[0084] When the phase current single item comparison result is that the phase current R1 is less than or equal to the preset phase current R10, the fault diagnosis module determines that the fault state is a no-fault state, the fault cause is no fault cause, and the fault location is no fault location;

[0085] When the phase current single item comparison result is that the phase current R1 is greater than the preset phase current R10, the fault diagnosis module determines that the fault state is an overcurrent fault, the fault cause is a short circuit fault if the current is extremely large, or an overload if the current continuously exceeds the rated value, and the fault location is a feeder circuit where a circuit breaker is located.

[0086] Specifically, the key parameters refer to a series of preset reference values for judging whether the equipment running state is normal, the preset phase current R10 refers to the action setting value of overcurrent protection, which is usually higher than the rated current of the line but lower than the thermal stability limit current of the line, when the actual current exceeds this value, the protection device needs to act, such as a line with a rated current of 400A, R10 is set to 500A, the preset zero sequence current R20 refers to the action setting value of ground protection, which is usually very small, used to detect small ground leakage current, such as can be set to 2A, when the zero sequence current exceeds this value, it is judged that a ground fault has occurred, the preset cable joint temperature R30 refers to the maximum safe working temperature allowed by the cable joint, which is set according to the temperature resistance level and safety margin of the cable insulation material, such as for EPR insulated cable, it can be set to 90℃, the preset partial discharge data R40 refers to the alarm reference value of partial discharge activity, which is a comprehensive index, such as the amplitude and pulse repetition rate of partial discharge pulse weighted comprehensive index, when the detected partial discharge signal exceeds the alarm reference value, it indicates that the insulation deterioration has reached the degree that needs to be warned, the preset gas pressure coefficient R50 refers to the reciprocal of the minimum allowed value of the insulation gas pressure in the gas tank of the environmental protection ring net cabinet, such as for the environmental protection ring net cabinet with dry air insulation, the rated pressure is 1.4 bar (gauge pressure), then R50 can be set to 1 / 1.2, higher than this value will alarm, indicating that the air tightness may be damaged, the fault state, fault reason and fault location corresponding to the key parameters refer to the preset fault information for each key parameter, the embodiment does not limit the method for setting the fault state, fault reason and fault location corresponding to the key parameters, those skilled in the art can freely set according to the actual situation, as long as the accurate matching requirement of the key parameters and the fault state, fault reason and fault location is met, such as setting the fault state, fault reason and fault location corresponding to the key parameters through long-term engineering practice and fault mechanism analysis.

[0087] It can be understood that the embodiment does not limit the setting method of the key parameters, those skilled in the art can freely set, but need to meet the requirement that when the environmental protection ring net cabinet multi-parameter running information is greater than the key parameters, the fault state, fault reason and fault location corresponding to the key parameters are taken as the judgment trend of the fault state, fault reason and fault location of each target power grid partition, such as the preset gas pressure coefficient R50 refers to the reciprocal of the minimum allowed value of the insulation gas pressure in the gas tank of the environmental protection ring net cabinet, such as for the environmental protection ring net cabinet with dry air insulation, the rated pressure is 1.4 bar (gauge pressure), then R50 can be set to 1 / 1.2.

[0088] Specifically, the fault diagnosis module generates an environmental protection ring main unit multi-parameter operation multi-dimensional data graph according to the environmental protection ring main unit multi-parameter operation information, inputs the environmental protection ring main unit multi-parameter operation multi-dimensional data graph into a multi-parameter fusion diagnosis convolution model for multi-parameter fusion diagnosis, obtains a result output by the multi-parameter fusion diagnosis convolution model, and takes the result as a multi-parameter fusion diagnosis result. The multi-parameter fusion diagnosis result is a fault state, a fault cause and a fault position of each target power grid partition in a target power grid region.

[0089] Specifically, the environmental protection ring main unit multi-parameter operation multi-dimensional data graph refers to a structured and visual data tensor in the form of an image formed by arranging environmental protection ring main unit multi-parameter operation multi-dimensional data of the same time section according to a logical correlation. The embodiment does not limit the method for generating the environmental protection ring main unit multi-parameter operation multi-dimensional data graph. Those skilled in the art can limit it according to actual conditions, as long as the requirement of converting the environmental protection ring main unit multi-parameter operation multi-dimensional data into a two-dimensional graph is met. For example, a multi-channel two-dimensional data image can be generated by data alignment and slicing, constructing a two-dimensional data network, and data normalization and pixelization. The multi-parameter fusion diagnosis convolution model refers to a convolution neural network model with the environmental protection ring main unit multi-parameter operation multi-dimensional data graph as input and the multi-parameter fusion diagnosis result as output. When constructing the multi-parameter fusion diagnosis convolution model, the input layer is set to receive the environmental protection ring main unit multi-parameter operation multi-dimensional data graph, the convolution layer is set as the core part, a plurality of convolution kernels are used to slide on the environmental protection ring main unit multi-parameter operation multi-dimensional data graph, and local features of the environmental protection ring main unit multi-parameter operation multi-dimensional data graph are extracted, the pooling layer is set to reduce the dimension of the features, the fully connected layer is set to the local features of the environmental protection ring main unit multi-parameter operation multi-dimensional data graph extracted by the convolution layer, the output layer is set to use the Softmax function to output a probability distribution, and the probability distribution refers to a probability representing belonging to each fault state, fault cause and fault position. The multi-parameter fusion diagnosis result refers to a diagnosis conclusion output by the multi-parameter fusion diagnosis convolution model after deep analysis of the input environmental protection ring main unit multi-parameter operation multi-dimensional data graph.

[0090] Specifically, the fault diagnosis module inputs the fault cause and the fault position into a random forest decision model for decision, and obtains a decision result output by the random forest decision model as a fusion control scheme.

[0091] Specifically, the random forest decision model refers to an ensemble learning algorithm that makes a final decision by constructing multiple decision trees and conducting collective voting. The present embodiment does not limit the construction method of the random forest decision model. Those skilled in the art can set it according to the actual situation, as long as the decision-making requirements of the fusion control scheme are met. For example, a selected random forest model can be set as a basic model architecture, historical fault reasons and the fault location-history fusion control scheme can be set as decision-making training data sets, the basic model architecture can be trained according to the decision-making training data sets, and the basic model architecture with an accuracy rate of 98% in the model verification result can be output as the random forest decision model.

[0092] Specifically, the operation verification module obtains the logic verification parameter Y1, the static safety verification parameter Y2, and the dynamic process verification parameter Y3 of the fusion control scheme, and calculates the scheme verification parameter YA according to the logic verification parameter Y1, the static safety verification parameter Y2, and the dynamic process verification parameter Y3. Set YA=Y1xY2xY3. The operation verification module judges the scheme verification result according to the scheme verification parameter YA, wherein:

[0093] When YA=1, the operation verification module judges that the scheme verification result is normal scheme verification.

[0094] When YA=0, the operation verification module judges that the scheme verification result is abnormal scheme verification.

[0095] Specifically, the operation verification module obtains the logic verification parameter Y1, the static security verification parameter Y2 and the dynamic process verification parameter Y3 of the fusion control scheme, performs logic verification on the fusion control scheme to obtain the logic verification parameter Y1, performs static security verification on the fusion control scheme to obtain the static security verification parameter Y2, and performs dynamic process verification on the fusion control scheme to obtain the dynamic process verification parameter Y3. When performing logic verification, the operation verification module compares the fusion control scheme with a preset verification rule through a rule engine. When the fusion control scheme meets the preset verification rule, the operation verification module outputs the logic verification parameter Y1=1. When the fusion control scheme does not meet the preset verification rule, the operation verification module outputs the logic verification parameter Y1=0. The preset verification rule refers to whether the operation steps in the pre-embedded checking scheme violate the most basic electrical safety rules, including preventing the operation of isolation switches with load current, whether there are steps in the scheme to operate isolation switches without cutting off the load current, preventing the connection of ground wires with live wires, whether the scheme will cause the maintenance area and the live part to be not completely isolated, and preventing misentry into a live interval. When performing static security verification, the operation verification module changes the switch state in the digital model according to the fusion control scheme, forms a new power grid topology, and simulates the failure of any main equipment such as a line or a transformer to exit operation to obtain the new power grid topology state after exiting operation. When the new power grid topology state after exiting operation is consistent with a preset fault state, the operation verification module sets Y2=0. When the new power grid topology state after exiting operation is not consistent with the preset fault state, the operation verification module sets Y2=1. The preset fault state refers to a preset circuit state that makes the power grid in a very fragile state with high risk, including device overload, voltage out-of-limit and power supply island. When performing dynamic process verification, the operation verification module calls an electromagnetic transient simulation program based on a simulation software model, inputs the fusion control scheme into the electromagnetic transient simulation program, and obtains the electromagnetic transient simulation result output by the electromagnetic transient simulation program. When the electromagnetic transient simulation result is abnormal, the operation verification module sets Y3=0. When the electromagnetic transient simulation result is normal, the operation verification module sets Y3=1. The electromagnetic transient simulation program includes electromagnetic transient process, electromechanical transient process and device capacity verification. The electromagnetic transient simulation result being abnormal refers to the existence of dangerous overvoltage, instability risk or insufficient device capacity in the electromagnetic transient simulation result. The electromagnetic transient simulation result being normal refers to the absence of dangerous overvoltage, instability risk or insufficient device capacity in the electromagnetic transient simulation result.

[0096] Specifically, the operation verification module judges the predicted execution situation of the fusion control scheme according to the scheme verification result, wherein:

[0097] When the scheme verification result is scheme verification normal, the operation verification module determines that the predicted execution situation of the fusion control scheme is execution normal.

[0098] When the scheme verification result is scheme verification abnormal, the operation verification module determines that the predicted execution situation of the fusion control scheme is execution abnormal.

[0099] Specifically, the predicted execution situation refers to the possible result of the fusion control scheme in the real world after the full-process simulation execution of the scheme.

[0100] Specifically, the operation verification module performs secondary operation verification according to the predicted execution situation to obtain a secondary operation verification result, wherein:

[0101] When the predicted execution situation is execution abnormal, the operation verification module determines to perform secondary operation verification on the fusion control scheme to obtain a secondary operation verification result; the secondary operation verification result includes secondary operation verification normal and secondary operation verification abnormal.

[0102] When the predicted execution situation is execution normal, the operation verification module determines not to perform secondary operation verification on the fusion control scheme.

[0103] Specifically, when performing secondary operation verification, the operation verification module re-performs logical verification on the fusion control scheme to obtain a re-logical verification parameter Y1a, the re-logical verification is performed in the same way as the original logical verification, re-performs static safety verification on the fusion control scheme to obtain a re-static safety verification parameter Y2a, the re-static safety verification is performed in the same way as the original static safety verification, re-performs dynamic process verification on the fusion control scheme to obtain a re-dynamic process verification parameter Y3a, the re-dynamic process verification is performed in the same way as the original dynamic process verification, calculates a secondary operation verification parameter YAa, and sets YAa=Y1a×Y2a×Y3a, and the operation verification module judges the secondary operation verification result according to the secondary operation verification parameter YAa, wherein:

[0104] When YAa=1, the operation verification module determines that the secondary operation verification result is secondary operation verification normal.

[0105] When YAa=0, the operation verification module determines that the secondary operation verification result is secondary operation verification abnormal.

[0106] Specifically, the fusion control module executes the fusion control scheme according to the predicted execution condition and the secondary operation verification result, wherein:

[0107] When the predicted execution condition is normal execution, the fusion control module executes the fusion control scheme and marks the fusion control scheme as a primary normal scheme;

[0108] When the predicted execution condition is abnormal execution, the fusion control module executes the fusion control scheme according to the secondary operation verification result, wherein:

[0109] When the secondary operation verification result is secondary operation verification normal, the fusion control module executes the fusion control scheme and marks the fusion control scheme as a secondary normal scheme;

[0110] When the secondary operation verification result is secondary operation verification abnormal, the fusion control module does not execute the fusion control scheme and marks the fusion control scheme as a secondary abnormal scheme.

[0111] Specifically, when the fusion control module executes the fusion control scheme, the fusion control module sends the fusion control scheme to the execution mechanism of the target environmental ring main unit on-off switch through a communication network, and waits for the signal of correct return and successful execution of the execution mechanism of each target environmental ring main unit on-off switch, such as a switch position signal. After receiving the signal of correct return and successful execution of the execution mechanism of all target environmental ring main unit on-off switches in the target power grid partition, the fusion control module determines that the fusion control scheme has been successfully executed.

[0112] Specifically, the push alarm module pushes an alarm according to the secondary operation verification result, wherein:

[0113] When the secondary operation verification result is secondary operation verification normal, the push alarm module does not push an alarm;

[0114] When the secondary operation verification result is secondary operation verification abnormal, the push alarm module pushes an alarm. The push alarm module pops up and pushes the alarm information through a terminal, and the alarm information includes the current time, the fusion control scheme, the fault reason corresponding to the fusion control scheme, the fault position, the logic verification parameter, the static security verification parameter, and the dynamic process verification parameter.

[0115] Specifically, the optimization adjustment module obtains, as multi-parameter fusion diagnosis features, a normal scheme, a fault cause and a fault location corresponding to the normal scheme, a secondary normal scheme, a fault cause and a fault location corresponding to the secondary normal scheme, a secondary abnormal scheme, and a fault cause, a fault location, a logic check parameter, a static security check parameter, a dynamic process check parameter, a re-logic check parameter Y1a, a re-static security check parameter Y2a, and a re-dynamic process check parameter Y3a in an optimization period such as 12 hours, inputs the multi-parameter fusion diagnosis features into a highlight identification tree model, and obtains a parameter with the highest importance score output by the highlight identification tree model as a highlight parameter.

[0116] Specifically, the highlight identification tree model refers to a gradient boosting decision tree model that has undergone a data preparation and training process. The core objective of the highlight identification tree model is not to directly perform classification prediction, but to perform feature importance analysis to find key parameters. When the highlight identification tree model is constructed, the input of the gradient boosting decision tree model is set as the multi-parameter fusion diagnosis features, and the output of the gradient boosting decision tree model is set as a parameter-importance score. The historical multi-parameter fusion diagnosis features and the historical parameter-importance scores in one year are used as a model training set. The gradient boosting decision tree model is trained according to the model training set. The gradient boosting decision tree model with a model verification accuracy of 98% is used as the highlight identification tree model.

[0117] Specifically, the optimization adjustment module supplements the highlight parameter as a key parameter into a single diagnosis process when optimizing the single diagnosis process.

[0118] Specifically, the optimization adjustment module obtains a number of highlighted secondary operation checks k1 and a number of highlighted alarm pushes k2 of the highlight parameter in an optimization period, calculates an abnormal highlight number KA, sets KA=k1+k2, compares the abnormal highlight number KA with a preset abnormal highlight number KA0, and analyzes the abnormal highlight parameter according to a comparison result, wherein:

[0119] When KA<KA0, the optimization adjustment module determines that the highlight parameter is not an abnormal highlight parameter.

[0120] When KA≥KA0, the optimization adjustment module determines that the highlight parameter is an abnormal highlight parameter.

[0121] Specifically, the optimization period refers to a fixed time interval in which the system performs self-learning and self-optimization once. In this embodiment, the optimization period is set to 12 hours. The corresponding prominent secondary operation check number k1 refers to the number of times that the fusion control scheme generated by the system contains the prominent parameter and is judged as abnormal in the secondary operation check link. The push alarm number k2 refers to the total number of times that the system directly pushes an alarm message to the operation and maintenance personnel due to the prominent parameter in the current optimization period. The preset abnormal prominent number KA0 refers to a preset alarm value for quantifying the total amount of problems actually caused by the prominent parameter in the optimization period. In this embodiment, the preset abnormal prominent number KA0 is set to 2 to 3 times the KA value generated by all parameters in an average optimization period during stable operation.

[0122] Specifically, when the prominent parameter is an abnormal prominent parameter, the optimization adjustment module adjusts the prominent parameter, adjusts the abnormal prominent parameter to a non-prominent parameter, and cancels the supplement of the prominent parameter as a key parameter to the single diagnosis process.

[0123] Specifically, the optimization adjustment module obtains the push alarm number G and compares the push alarm number G with the preset push alarm number G0. According to the comparison result, the optimization adjustment module optimizes and adjusts the target power grid partitions and the substation responsibility points of the target power grid partitions, wherein:

[0124] When G < G0, the optimization adjustment module determines not to optimize and adjust the target power grid partitions and the substation responsibility points of the target power grid partitions.

[0125] When G ≥ G0, the optimization adjustment module determines to optimize and adjust the target power grid partitions and the substation responsibility points of the target power grid partitions, re-partitions the target power grid area according to the partition rule, recalculates the responsibility reliability coefficients of the substation, and re-selects the substation responsibility points of the target power grid partitions.

[0126] Specifically, the push alarm number refers to the cumulative number of times that the push alarm module pushes an alarm since the time when the target power grid area is partitioned. The preset push alarm number G0 refers to a preset alarm number value for judging whether the current target power grid partition and substation responsibility point are inefficient and whether they need to be replaced. In this embodiment, the preset push alarm number G0 is set to 2 times the average alarm number in the optimization period in the stable operation state.

[0127] Referring to FIG. 1, Figure 2 The method includes:

[0128] Step S1, partitioning the target power grid region to obtain each target power grid partition, and conducting responsibility election for each substation in the target power grid partition to obtain the substation responsibility point of the target power grid partition;

[0129] Step S2, obtaining the multi-parameter operation information of the environmental ring network cabinet through the substation responsibility point;

[0130] Step S3, conducting single diagnosis and multi-parameter fusion diagnosis according to the multi-parameter operation information of the environmental ring network cabinet to obtain the fault state, fault cause and fault location of each target power grid partition in the target power grid region, and deciding the fusion control scheme according to the fault cause and the fault location;

[0131] Step S4, conducting operation verification on the fusion control scheme to obtain a scheme verification result, and judging the predicted execution of the fusion control scheme according to the scheme verification result;

[0132] Step S5, conducting secondary operation verification according to the predicted execution to obtain a secondary operation verification result;

[0133] Step S6, executing the fusion control scheme according to the predicted execution and the secondary operation verification result;

[0134] Step S7, conducting push alarm according to the secondary operation verification result;

[0135] Step S8, obtaining a prominent parameter according to the multi-parameter fusion diagnosis feature, and optimizing the single diagnosis process according to the prominent parameter;

[0136] Step S9, analyzing an abnormal prominent parameter according to the number of secondary operation verifications and the number of push alarms, adjusting the prominent parameter according to the abnormal prominent parameter, and adjusting the single diagnosis process;

[0137] Step S10, optimizing and adjusting each target power grid partition and the substation responsibility point of each target power grid partition according to the number of push alarms.

[0138] So far, the technical solutions of the present application have been described in combination with the preferred embodiments shown in the drawings, but those skilled in the art can easily understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without departing from the principles of the present application, and the technical solutions after these changes or replacements will all fall within the protection scope of the present application.

Claims

1. An environmentally-friendly ring main unit one-two fusion control system, characterized in that, The method comprises the following steps: A cluster cooperation module is used to partition and elect responsibility of a target power grid area, to obtain each target power grid partition and the substation responsibility point of each target power grid partition; A data acquisition module is used to acquire multi-parameter operation information of an environmental protection ring network cabinet through the substation responsibility point; A fault diagnosis module is used to perform single diagnosis and multi-parameter fusion diagnosis according to the multi-parameter operation information of the environmental protection ring network cabinet, to obtain the fault state, fault cause and fault location of each target power grid partition in the target power grid area, and to make a decision on a fusion control scheme; An operation verification module is used to perform operation verification on the fusion control scheme, to obtain a scheme verification result, to judge the predicted execution of the fusion control scheme according to the scheme verification result, to perform secondary operation verification according to the predicted execution, and to obtain a secondary operation verification result; A fusion control module is used to execute the fusion control scheme according to the predicted execution and the secondary operation verification result; A push alarm module is used to push an alarm according to the secondary operation verification result; An optimization adjustment module is used to obtain a prominent parameter according to the multi-parameter fusion diagnosis feature, to optimize the single diagnosis process according to the prominent parameter, to analyze an abnormal prominent parameter according to the number of secondary operation verifications and the number of push alarms, to adjust the prominent parameter and the single diagnosis process according to the abnormal prominent parameter, and to optimize and adjust each target power grid partition and the substation responsibility point of each target power grid partition according to the number of push alarms.

2. The environmentally-friendly ring main unit one-two fusion control system according to claim 1, characterized in that, The cluster cooperation module sets a partition rule to divide a group of environmental protection ring network cabinets connected to the same section of bus into a target power grid partition, and partitions the target power grid area according to the partition rule to obtain each target power grid partition; The cluster cooperation module acquires the CPU idle rate A, wired Ethernet bandwidth score B, topology centrality score C, power supply reliability score D and historical credit score E of each substation in each target power grid partition, and calculates the responsibility reliability coefficient F of each substation according to the CPU idle rate A, wired Ethernet bandwidth score B, topology centrality score C, power supply reliability score D and historical credit score E, with F=A×0.4+B×0.3+C×0.15+D×0.1+E×0.

05. Each substation broadcasts its responsibility reliability coefficient to all other substations in the target power grid partition to which it belongs. The substation with the highest responsibility reliability coefficient broadcasts an announcement message to all other substations in the target power grid partition to which it belongs. After receiving the announcement message, the other substations verify that the score of the substation is indeed the highest and that the communication is normal, and then reply with a confirmation message. When the confirmation rate of all other substations in the target power grid partition to which the substation belongs exceeds 80%, the DTU of the substation is set as the substation responsibility point.

3. The environmentally-friendly ring main unit one-two fusion control system according to claim 2, characterized in that, The fault diagnosis module compares the environmental protection ring main unit multi-parameter operation information with key parameters to obtain each single comparison result, and performs single diagnosis according to each single comparison result to obtain the fault state, fault cause and fault location of each target power grid partition in the target power grid region. The fault diagnosis module generates an environmental protection ring main unit multi-parameter operation multi-dimensional data graph according to the environmental protection ring main unit multi-parameter operation information, inputs the environmental protection ring main unit multi-parameter operation multi-dimensional data graph into a multi-parameter fusion diagnosis convolution model for multi-parameter fusion diagnosis, obtains a result output by the multi-parameter fusion diagnosis convolution model, and takes the result as a multi-parameter fusion diagnosis result. The multi-parameter fusion diagnosis result is the fault state, fault cause and fault location of each target power grid partition in the target power grid region.

4. The environmentally-friendly ring main unit one-two fusion control system according to claim 3, characterized in that, The fault diagnosis module inputs the fault cause and the fault location into a random forest decision model for decision, obtains a decision result output by the random forest decision model, and takes the decision result as a fusion control scheme.

5. The environmentally-friendly ring main unit one-two fusion control system according to claim 4, characterized in that, The operation verification module obtains a logic verification parameter Y1, a static security verification parameter Y2 and a dynamic process verification parameter Y3 of the fusion control scheme, and calculates a scheme verification parameter YA according to the logic verification parameter Y1, the static security verification parameter Y2 and the dynamic process verification parameter Y3, where YA=Y1×Y2×Y3. The operation verification module judges a scheme verification result according to the scheme verification parameter YA, where: When YA=1, the operation verification module judges that the scheme verification result is normal scheme verification; When YA=0, the operation verification module judges that the scheme verification result is abnormal scheme verification; The operation verification module judges a predicted execution condition of the fusion control scheme according to the scheme verification result, where: When the scheme verification result is normal scheme verification, the operation verification module judges that the predicted execution condition of the fusion control scheme is normal execution; When the scheme verification result is abnormal scheme verification, the operation verification module judges that the predicted execution condition of the fusion control scheme is abnormal execution; The operation verification module performs secondary operation verification according to the predicted execution condition to obtain a secondary operation verification result, where: When the predicted execution condition is abnormal execution, the operation verification module judges to perform secondary operation verification on the fusion control scheme to obtain a secondary operation verification result. The secondary operation verification result includes normal secondary operation verification and abnormal secondary operation verification. When the predicted execution condition is normal execution, the operation verification module judges not to perform secondary operation verification on the fusion control scheme.

6. The environmentally-friendly ring main unit one-two fusion control system according to claim 5, characterized in that, The fusion control module performs execution on the fusion control scheme according to the predicted execution condition and the secondary operation verification result, where: When the predicted execution condition is normal execution, the fusion control module performs execution on the fusion control scheme and marks the fusion control scheme as a primary normal scheme; If the predicted execution condition is an execution exception, the fusion control module executes the fusion control scheme according to the secondary operation check result, wherein: If the secondary operation check result is a secondary operation check normal, the fusion control module executes the fusion control scheme and marks the fusion control scheme as a secondary normal scheme; If the secondary operation check result is a secondary operation check exception, the fusion control module does not execute the fusion control scheme and marks the fusion control scheme as a secondary exception scheme.

7. The environmentally-friendly ring main unit (RMU) one-and-two times fusion control system according to claim 6, characterized in that, The push alarm module pushes alarm according to the secondary operation check result, wherein: If the secondary operation check result is a secondary operation check normal, the push alarm module does not push alarm; If the secondary operation check result is a secondary operation check exception, the push alarm module pushes alarm, and the push alarm module pops up and pushes alarm information through a terminal, wherein the alarm information includes a current time, the fusion control scheme, a fault reason corresponding to the fusion control scheme, a fault location, a logic check parameter, a static security check parameter, and a dynamic process check parameter.

8. The environmentally-friendly ring main unit (RMU) one-and-two times fusion control system according to claim 7, characterized in that, The optimization adjustment module obtains a primary normal scheme of an optimization period, a fault reason and a fault location corresponding to the primary normal scheme, a secondary normal scheme, a fault reason and a fault location corresponding to the secondary normal scheme, a secondary exception scheme, a fault reason and a fault location corresponding to the secondary exception scheme, a re-logic check parameter Y1a, a re-static security check parameter Y2a, and a re-dynamic process check parameter Y3a, and takes them as multi-parameter fusion diagnosis features. The optimization adjustment module inputs the multi-parameter fusion diagnosis features into a highlight identification tree model, obtains a parameter with the highest importance score output by the highlight identification tree model, and takes the parameter as a highlight parameter. When optimizing a single diagnosis process, the optimization adjustment module supplements the highlight parameter as a key parameter into the single diagnosis process. The optimization adjustment module obtains a number k1 of times that the highlight parameter corresponds to a secondary operation check in an optimization period and a number k2 of times that the highlight parameter corresponds to a push alarm, calculates an abnormal highlight number KA, sets KA=k1+k2, compares the abnormal highlight number KA with a preset abnormal highlight number KA0, and analyzes the abnormal highlight parameter according to a comparison result, wherein: When KA<KA0, the optimization adjustment module determines that the highlight parameter is not an abnormal highlight parameter; When KA≥KA0, the optimization adjustment module determines that the highlight parameter is an abnormal highlight parameter; When the highlight parameter is an abnormal highlight parameter, the optimization adjustment module adjusts the highlight parameter, adjusts the abnormal highlight parameter to a non-highlight parameter, and cancels the supplement of the highlight parameter as a key parameter into the single diagnosis process.

9. The environmentally-friendly ring main unit (RMU) one-and-two times fusion control system according to claim 8, characterized in that, The optimization adjustment module obtains a number G of times of push alarms and compares the number G of times of push alarms with a preset number G0 of times of push alarms, and optimizes and adjusts each target power grid partition and a substation responsibility point of each target power grid partition according to a comparison result, wherein: When G < G0, the optimization adjustment module determines not to perform optimization adjustment on the target power grid partitions and the substation responsibility points of the target power grid partitions. When G ≥ G0, the optimization adjustment module determines to perform optimization adjustment on the target power grid partitions and the substation responsibility points of the target power grid partitions, re-partitions the target power grid region according to the partition rule, recalculates the responsibility reliability coefficients of the substation, and re-selects the substation responsibility points of the target power grid partitions.

10. A method applied to the primary and secondary fusion control system of the environmentally-friendly ring main unit according to any one of claims 1-9, characterized in that, The method comprises: Step S1, partitioning the target power grid region to obtain target power grid partitions, and performing responsibility selection on each substation in the target power grid partitions to obtain substation responsibility points of the target power grid partitions; Step S2, obtaining environmental protection ring main unit multi-parameter operation information through the substation responsibility points; Step S3, performing single-item diagnosis and multi-parameter fusion diagnosis according to the environmental protection ring main unit multi-parameter operation information to obtain a fault state, a fault cause, and a fault location of each target power grid partition in the target power grid region, and deciding a fusion control scheme according to the fault cause and the fault location; Step S4, performing operation verification on the fusion control scheme to obtain a scheme verification result, and judging a predicted execution of the fusion control scheme according to the scheme verification result; Step S5, performing secondary operation verification according to the predicted execution to obtain a secondary operation verification result; Step S6, executing the fusion control scheme according to the predicted execution and the secondary operation verification result; Step S7, pushing an alarm according to the secondary operation verification result; Step S8, obtaining a prominent parameter according to a multi-parameter fusion diagnosis feature, and optimizing a single-item diagnosis process according to the prominent parameter; Step S9, analyzing an abnormal prominent parameter according to a secondary operation verification number and a push alarm number, adjusting the prominent parameter according to the abnormal prominent parameter, and adjusting the single-item diagnosis process; Step S10, optimizing the target power grid partitions and the substation responsibility points of the target power grid partitions according to the push alarm number.

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