Multi-source data acquisition and feedback power distribution network protection method and system

Abstract

The invention relates to the technical field of power distribution networks, in particular to a multi-source data acquisition and feedback power distribution network protection method and system, and the method comprises the steps: obtaining target data through building a centralized-decentralized coordinated distribution network control architecture; performing fault detection and processing on the target data by adopting a dynamic topology analysis technology; and the analysis result is fed back to the target terminal in real time through the cloud server. The method has the beneficial effects that the fault point in the power distribution network can be quickly positioned, and the fault point is accurately separated from the power distribution network, so that the power failure range is greatly reduced, and smooth production and life are guaranteed. Information is issued to the mobile phone APP in real time through the cloud server, real-time standardization and management and control of the distribution network operation process are achieved, the distribution network management efficiency is greatly improved, closed-loop management is achieved, and continuity and effectiveness of operation and maintenance management work of the distribution network are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution networks, and particularly to a power distribution network protection method and system for multi-source data acquisition and feedback. Background Art

[0002] The distribution network is an indispensable and important part of the power system. Due to the characteristics of directly facing power users, the stable and safe operation of the distribution network is an important prerequisite for ensuring the economic and social development. At present, with the rapid development of the social economy and the large-scale use of a large number of high-tech and big data electronic service devices, higher requirements are put forward for the load capacity and stability of the distribution network. Sudden power outages will cause huge economic losses to social production. On the other hand, with the improvement of the requirements for the load capacity of the power system, the current network structure of the distribution network is becoming increasingly complex, which poses huge challenges to the management, maintenance and repair of the distribution network. In the traditional protection devices in the distribution network, they only have the ability to cut off faults, while operations such as load transfer and power supply restoration need to be completed by measurement and control devices such as standby power supply automatic switching devices and reclosing devices, which greatly increases the workload in actual maintenance and use. In addition, in the current distribution network of the power system, due to the existence of a large number of voltage transformation devices, these devices are widely distributed, but the equipment configuration levels vary greatly, and the universality between devices of the same level is poor, which brings huge challenges to the setting value maintenance of the distribution network. Summary of the Invention

[0003] The purpose of this part is to outline some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Simplifications or omissions may be made in this part, as well as in the abstract and title of the present application, to avoid obscuring the purpose of this part, the abstract and the title, and such simplifications or omissions shall not be used to limit the scope of the present invention.

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a power distribution network protection method and system for multi-source data acquisition and feedback, which can solve the problems mentioned in the background art.

[0006] To solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a power distribution network protection method for multi-source data acquisition and feedback, including obtaining target data by establishing a centralized-decentralized coordinated distribution network control architecture;

[0008] Adopting dynamic topology analysis technology to detect and process faults in the target data;

[0009] Transmitting the analysis result to the target terminal in real time through a cloud server.

[0010] As a preferred embodiment of the power distribution network protection method for multi-source data acquisition and feedback of the present invention, the following is provided: a centralized-decentralized coordinated distribution network control architecture, including a substation layer, a communication layer, and a terminal layer;

[0011] The substation layer is responsible for the setting of the protection control center;

[0012] The terminal layer includes associated substations or distribution rooms;

[0013] The communication layer is responsible for data communication between the substation layer and the terminal layer.

[0014] As a preferred embodiment of the power distribution network protection method for multi-source data acquisition and feedback of the present invention, the following is provided: the dynamic topology analysis technology is based on graph theory, and the distribution network is described as a graph.

[0015] As a preferred embodiment of the power distribution network protection method for multi-source data acquisition and feedback of the present invention, the following is provided: the dynamic topology analysis technology includes

[0016] the minimum measurable subgraph and the minimum separable subgraph;

[0017] By comparing the dynamic relationship matrix and the auxiliary matrix, row transformation operations are performed.

[0018] As a preferred embodiment of the power distribution network protection method for multi-source data acquisition and feedback of the present invention, the following is provided: the method further includes intelligently generating a distribution network work order on a cloud server.

[0019] As a preferred embodiment of the power distribution network protection method for multi-source data acquisition and feedback of the present invention, the following is provided: the target data includes the breaker status in the substation, the load switch conditions in the distribution room, and the operation information of the bus and lines.

[0020] As a preferred embodiment of the power distribution network protection method for multi-source data acquisition and feedback of the present invention, the following is provided: the fault detection and handling include fault identification, fault removal, fault isolation, and fault self-healing.

[0021] In a second aspect, the present invention provides a power distribution network protection system for multi-source data acquisition and feedback, including: an establishment and acquisition module, configured to acquire target data by establishing a centralized-decentralized coordinated distribution network control architecture;

[0022] An analysis and detection module, configured to perform fault detection and handling on the target data by using the dynamic topology analysis technology;

[0023] A feedback module, configured to real-time feedback the analysis result to the target terminal through a cloud server.

[0024] In a third aspect, the present invention provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the above method are implemented.

[0025] In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above method are implemented.

[0026] Compared with the prior art, the beneficial effects of the present invention are as follows: By combining dynamic topology analysis technology, intelligent real-time management of safe operation of the distribution network is achieved. Specifically, this solution covers key links such as the distribution network anti-error system, lock control system, voltage verification and interlock, and ground wire management, ensuring the safety and efficiency of distribution network operations. By using the mobile phone APP as the terminal, this method can standardize and control the process of distribution network operations, meet the refined management requirements for complex distribution networks, and significantly improve the management and maintenance efficiency of the distribution network. In addition, this method can quickly locate the fault points in the distribution network and accurately isolate the fault points from the distribution network, thereby greatly reducing the power outage range and ensuring the smooth progress of production and life. By using the cloud server to send information to the mobile phone APP in real time, the real-time standardization and control of the distribution network operation process are realized, greatly improving the efficiency of distribution network management and achieving closed-loop management, ensuring the continuity and effectiveness of the distribution network operation and maintenance management work. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for description in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts. Among them:

[0028] Figure 1 is a flowchart of a power distribution network protection method for multi-source data acquisition and feedback.

[0029] Figure 2 is a centralized-decentralized coordinated distribution network control architecture.

[0030] Figure 3 is a schematic diagram of the process of standardizing and controlling the distribution network operation by feeding back the results to the mobile phone APP.

[0031] Figure 4 is a schematic diagram of the internal structure of a computer device. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0032] In order to make the above objects, features, and advantages of the present invention more obvious and understandable, the following detailed description of the specific embodiments of the present invention will be made in conjunction with the accompanying drawings of the specification.

[0033] In the following description, many specific details are set forth in order to provide a thorough understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art can make similar generalizations without departing from the spirit of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0034] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation manner of the present invention. The appearances of "in one embodiment" in different places in this specification do not all refer to the same embodiment, nor are they separate or alternative embodiments that are mutually exclusive of other embodiments.

[0035] Embodiment 1

[0036] Referring to Figures 1 to 3 , which is the first embodiment of the present invention. This embodiment provides a power distribution network protection method for multi-source data collection and feedback, which includes:

[0037] S1. Obtain target data by establishing a centralized-decentralized coordinated distribution network control architecture.

[0038] Furthermore, the centralized-decentralized coordinated distribution network control architecture includes a substation layer, a communication layer, and a terminal layer;

[0039] The substation layer is responsible for setting up the protection control center;

[0040] The terminal layer includes associated substations or distribution rooms;

[0041] The communication layer is responsible for data communication between the substation layer and the terminal layer.

[0042] Furthermore, the target data includes the status of circuit breakers in the substation, the situation of load switches in the distribution room, and the operation information of the busbars and lines.

[0043] It should be noted that when using the centralized protection control method (which means that the main control functions and decision-making processes are concentrated in a central location, that is, the protection control center of the substation layer), the main control functions include: fault identification, fault removal, fault isolation, and fault self-healing of the distribution network. When in the centralized protection control mode, the distribution network protection terminal collects sensor signals in real time and uploads real-time data to the distribution network protection control substation, including: status information such as circuit breakers in the substation and the situation of load switches in the distribution room, and the operation information of the busbars and lines in the substation and distribution room, so as to provide an information basis for real-time network topology modeling of the distribution network protection control substation;

[0044] When the distribution network is in the state of the control substation being offline, the distribution network protection adopts a distributed protection control method. At this time, if the distribution network protection control terminal detects fault current or bus voltage loss information, it will immediately perform a tripping operation or a remote control opening operation to achieve fault isolation. After that, through the topology network structure sent before the control substation goes offline, a step-by-step reclosing command is issued to troubleshoot the fault, quickly determine the fault point, and narrow the power outage range caused by the fault.

[0045] S2. Adopt dynamic topology analysis technology to detect and process target data.

[0046] Furthermore, the dynamic topology analysis technology is based on graph theory and describes the distribution network as a graph.

[0047] It should be noted that the distribution network topology based on graph theory is described as a graph G(V,E), where the set V represents the vertices of the graph, and the set E represents the edges of the graph. The elements in the set V are mapped to the distribution network components, and the elements in the set E are mapped to the protection control devices.

[0048] Furthermore, the dynamic topology analysis technology includes

[0049] the minimum measurable subgraph and the minimum separable subgraph;

[0050] Through the comparison of the dynamic relationship matrix and the auxiliary matrix, row transformation operations are performed.

[0051] Furthermore, the fault detection and processing include fault identification, fault excision, fault isolation, and fault self-healing.

[0052] It should be noted that for the centralized protection operation in S1, the distribution network control needs to have the capabilities of fault detection and fault separation. Corresponding these two capabilities to graph theory can convert them into the process of establishing the minimum subgraph. Establish the minimum subgraph for the two capabilities in turn. In the fault detection capability, adaptive operations for device configuration need to be performed according to the collected data, so a minimum measurable subgraph needs to be established. In the fault separation capability, it is required to have adaptability to various switches and breakers in the distribution network. Therefore, a minimum separable subgraph needs to be constructed to clarify the components that should be separated from the distribution network.

[0053] Furthermore, it should be noted that the dynamic relationship matrix G of the minimum measurable subgraph DMMS The calculation method is as follows, and its initial value can be expressed as:

[0054]

[0055] Among them, G S represents the static relationship matrix between the set V and the set E. The element G in the static relationship matrix ijIt is defined as: when there is no edge between two adjacent vertices, the element is 0; when the edge points from vertex i to vertex j, the element value is 1; when the edge points from vertex j to vertex i, the element value is -1. And E LC is the position matrix of the edges. Then, an auxiliary matrix A is constructed DMMS This represents the return value of the device under normal operating conditions of the distribution network, and its initial value is:

[0056]

[0057] Among them, G S represents the static relationship matrix between set V and set E, and E LC is the position matrix of the edges, and E SP represents the sampling description matrix of the edges.

[0058] After that, by comparing the element differences between the dynamic relationship matrix G DMMS and the auxiliary matrix A DMMS , the following row transformation operations are performed on the dynamic relationship matrix and the auxiliary matrix to obtain the following matrix:

[0059]

[0060] Among them

[0061]

[0062] By repeatedly performing the following row transformation operations until the dynamic relationship matrix and the auxiliary matrix are exactly the same. In order to record the combined changes at each step in the process of generating subgraphs in the above steps, the method of calculating vertex attribution is sampled to calculate the vertices of the smallest measurable subgraph. First, an identity matrix is established whose dimension is equal to the number of vertices in the subgraph, and then by the dynamic relationship matrix is changed until it is exactly the same as the auxiliary matrix. At this time, V MMS will contain all the information of the transformation:

[0063]

[0064] After that, the dynamic association matrix G of the smallest separable subgraph is constructed in the same way DMRS and the vertex attribution matrix V MMRS , different from the smallest measurable subgraph, the initial value of the smallest separable subgraph is:

[0065]

[0066] Among them, G DMMS is the dynamic association matrix of the smallest measurable subgraph. And the auxiliary matrix represents the gates and switches, and its initial value is:

[0067]

[0068] Among them, G DMMS is the dynamic incidence matrix of the smallest measurable subgraph, and E FR is the matrix describing the fault removal ability of the edges. Then, the vertex attribution matrix V MMRS .

[0069] After obtaining the above vertex attribution matrix, fault identification and fault separation operations can be completed. In the fault identification operation, the fault threshold calculation method for centralized protection is as follows:

[0070]

[0071] Among them, K rel represents the reliability coefficient of the device, and ε represents the error of the sensor. Finally, the maximum value in will be taken as the output value.

[0072] After a fault occurs, the fault point is separated from the distribution network. The combination of fault components to be separated is determined by the vertex attribution matrix of the smallest separable subgraph. The switches and circuit breakers for fault removal can be expressed as:

[0073]

[0074] Preferably, through the above real-time topology analysis method, faults can be detected in a timely manner, the scope where the fault occurs can be determined in a timely manner, and the faulty equipment can be separated from the distribution network.

[0075] S3. The analysis results are fed back to the target terminal in real time through the cloud server. Among them, the target terminal is a mobile device, such as a smart phone or a tablet computer, which receives and displays the feedback information by installing a dedicated application.

[0076] It should be noted that after a fault occurs, the fault point is confirmed and processed through the mobile phone APP to standardize and control the operation process.

[0077] Furthermore, the method further includes intelligently generating a distribution network operation work order on the cloud server.

[0078] It should be noted that the feedback information is contributed to the cloud server in real time. By sorting out the operating conditions of each level of the distribution network through the cloud architecture, the process of the distribution network operation is controlled, and according to the process requirements of the distribution network operation, intelligent generation of operation work orders from the dispatching level to the operation team level is realized, the fault point is located efficiently and accurately, the operation efficiency is greatly improved, and the standardized management of the operation process is realized.

[0079] In summary, the beneficial effects of the power distribution network protection method for multi-source data acquisition and feedback according to the present invention are as follows: by combining dynamic topology analysis technology, intelligent real-time management of safe operation of the distribution network is realized. Specifically, this solution covers key links such as the distribution network anti-error system, lock control system, voltage verification and interlock, and ground wire management, ensuring the safety and efficiency of distribution network operation. By using the mobile phone APP as the terminal, this method can standardize and control the process of distribution network operation, meet the refined management requirements for complex distribution networks, and significantly improve the management and maintenance efficiency of the distribution network. In addition, this method can quickly locate the fault points in the distribution network and accurately isolate the fault points from the distribution network, thereby greatly reducing the power outage range and ensuring the smooth progress of production and life. By using the cloud server to send information to the mobile phone APP in real time, the real-time standardization and control of the distribution network operation process are realized, greatly improving the efficiency of distribution network management and realizing the closed-loop management, ensuring the continuity and effectiveness of the distribution network operation and maintenance management work.

[0080] Embodiment 2

[0081] This embodiment provides a power distribution network protection system for multi-source data acquisition and feedback, which includes an acquisition module for obtaining target data by establishing a centralized-decentralized coordinated distribution network control architecture;

[0082] an analysis and detection module for performing fault detection and processing on the target data by using dynamic topology analysis technology;

[0083] a feedback module for real-time feedback of the analysis result to the target terminal through the cloud server.

[0084] The above-mentioned unit modules can be embedded in the processor of the computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above modules.

[0085] Embodiment 3

[0086] This embodiment provides a computer device, which can be a terminal, and its internal structure diagram can be as Figure 4As shown in the figure. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner, and the wireless manner can be implemented through WIFI, carrier network, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it realizes a power distribution network protection method for multi-source data acquisition and feedback. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball, or touchpad provided on the housing of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0087] This embodiment also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it realizes: obtaining target data by establishing a centralized-decentralized coordinated power distribution network control architecture; using dynamic topology analysis technology to detect and process faults in the target data; and real-time feedback of the analysis results to the target terminal through a cloud server.

[0088] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. A power distribution network protection method with multi-source data collection and feedback, characterized in that: include, Acquire target data by establishing a centralized-decentralized coordinated distribution network control architecture; Use dynamic topology analysis technology to detect and process faults in target data; The analysis results are fed back to the target terminal in real time through the cloud server.

2. The power distribution network protection method with multi-source data collection and feedback as claimed in claim 1, characterized in that: The centralized-decentralized coordinated distribution network control architecture includes a substation layer, a communication layer and a terminal layer; The substation layer is responsible for the setting of the protection control center; The terminal layer includes an associated substation or distribution room; The communication layer is responsible for data communication between the substation layer and the terminal layer.

3. The power distribution network protection method with multi-source data collection and feedback as claimed in claim 2, characterized in that: The dynamic topology analysis technology is based on graph theory and describes the distribution network as a graph.

4. The power distribution network protection method with multi-source data collection and feedback as claimed in claim 3, characterized in that: The dynamic topology analysis technology includes Minimum measurable subgraph and minimum separable subgraph; The row transformation operation is performed by comparing the dynamic relation matrix and the auxiliary matrix.

5. The power distribution network protection method with multi-source data collection and feedback as claimed in claim 4, characterized in that: The method also includes intelligently generating a distribution network operation work order on a cloud server.

6. The power distribution network protection method with multi-source data collection and feedback as claimed in any one of claims 1 to 4, characterized in that: The target data includes the status of circuit breakers in the substation, the status of load switches in the distribution room, and the operation information of the busbars and lines.

7. The power distribution network protection method with multi-source data collection and feedback as claimed in claim 6, characterized in that: The fault detection and processing includes fault identification, fault removal, fault isolation and fault self-healing.

8. A multi-source data collection and feedback power distribution network protection system, characterized in that: include: Establishing an acquisition module for acquiring target data by establishing a centralized-decentralized coordinated distribution network control architecture; An analysis and detection module is used to detect and process faults of target data using dynamic topology analysis technology; The feedback module is used to feed back the analysis results to the target terminal in real time through the cloud server.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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