Adaptive integrated feeder automation adaptability analysis method and device

Abstract

The present invention provides an adaptive integrated feeder automation adaptability analysis method and device. The adaptive integrated feeder automation adaptability analysis method includes: setting a fault based on a constructed active distribution network simulation model and then performing a fault simulation; determining the standard operating behavior of each switch based on its logical parameters; and adjusting the corresponding logical parameters based on the comparison between the operating behavior of each switch and the corresponding standard operating behavior. The present invention can ensure the safe and reliable operation of the active distribution network.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution networks, and in particular to an adaptive integrated feeder automation adaptability analysis method and device. Background Art

[0002] To improve power supply reliability, many medium-voltage overhead distribution lines have been equipped with adaptive integrated feeder automation systems. These systems rapidly remove and isolate faults and automatically restore power to loads in non-faulty areas after a distribution line fault occurs. With the development of new power systems, an increasing number of distributed power sources are being connected to distribution networks, changing the fault characteristics of traditional distribution networks. When large-scale distributed power sources are connected to distribution networks, adaptive integrated feeder automation systems may malfunction. Summary of the Invention

[0003] The main purpose of the embodiments of the present invention is to provide an adaptive integrated feeder automation adaptability analysis method and device to ensure the safe and reliable operation of an active power distribution network.

[0004] To achieve the above objectives, an embodiment of the present invention provides an adaptive integrated feeder automation adaptability analysis method, comprising:

[0005] Perform fault simulation after setting up faults according to the established active distribution network simulation model;

[0006] Determine the standard action behavior of each switch based on the logical parameters of each switch;

[0007] The corresponding logic parameters are adjusted according to the comparison result between the action behavior of each switch and the corresponding standard action behavior.

[0008] In one embodiment, adjusting the corresponding logic parameter according to the comparison result between the action behavior of each switch and the corresponding standard action behavior includes:

[0009] When the action behavior of each switch is inconsistent with the corresponding standard action behavior, the corresponding logic parameters are adjusted.

[0010] In one embodiment, determining the standard action of each switch according to the logic parameters of each switch includes:

[0011] Determine the standard time of each switch according to the time parameter in the logic parameter of each switch;

[0012] The standard action behavior of each switch is determined according to the standard time of each switch and the current and voltage parameters in the logic parameters of each switch.

[0013] In one embodiment, it further includes:

[0014] The logic parameters corresponding to each switch are adjusted according to the comparison result between the standard opening and closing positions of each switch corresponding to each fault and the actual opening and closing positions of each switch.

[0015] An embodiment of the present invention further provides an adaptive comprehensive feeder automation adaptability analysis device, comprising:

[0016] The fault simulation module is used to perform fault simulation after setting the fault according to the established active distribution network simulation model;

[0017] A standard action behavior module is used to determine the standard action behavior of each switch according to the logic parameters of each switch;

[0018] The first logic parameter adjustment module is configured to adjust the corresponding logic parameter according to a comparison result between the action behavior of each switch and the corresponding standard action behavior.

[0019] In one embodiment, the first logic parameter adjustment module is specifically configured to:

[0020] When the action behavior of each switch is inconsistent with the corresponding standard action behavior, the corresponding logic parameters are adjusted.

[0021] In one embodiment, the standard action behavior module includes:

[0022] A standard time unit, used to determine the standard time of each switch according to the time parameter in the logic parameter of each switch;

[0023] The standard action behavior unit is used to determine the standard action behavior of each switch according to the standard time of each switch and the current and voltage parameters in the logic parameters of each switch.

[0024] In one embodiment, it further includes:

[0025] The second logic parameter adjustment module is used to adjust the logic parameters corresponding to each switch according to the comparison result between the standard opening and closing positions of each switch corresponding to each fault and the actual opening and closing positions of each switch.

[0026] An embodiment of the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of the adaptive integrated feeder automation adaptability analysis method are implemented.

[0027] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the adaptive integrated feeder automation adaptability analysis method are implemented.

[0028] An embodiment of the present invention further provides a computer program product, comprising a computer program / instruction, which implements the steps of the adaptive integrated feeder automation adaptability analysis method when executed by a processor.

[0029] The adaptive integrated feeder automation adaptability analysis method and device of the embodiment of the present invention use electromagnetic transient simulation software to build a target active distribution network simulation model, and model the distribution network fault handling logic of the adaptive integrated feeder automation in the electromagnetic transient software. By simulating distribution network faults at different locations, the action logic of the distribution terminal is automatically read. According to the adaptability analysis results, the configuration parameters or fault handling strategy of the adaptive integrated feeder automation system are adjusted to ensure the safe and reliable operation of the active distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0031] Figure 1 is a flow chart of an adaptive integrated feeder automation adaptability analysis method according to an embodiment of the present invention;

[0032] Figure 2 is a flow chart of an adaptive integrated feeder automation adaptability analysis method according to another embodiment of the present invention;

[0033] Figure 3 This is a flow chart of S102 in an embodiment of the present invention;

[0034] Figure 4 is a schematic diagram of an active power distribution network simulation model in an embodiment of the present invention;

[0035] Figure 5 is a schematic diagram of a simulation model of an active power distribution network after a fault is set in an embodiment of the present invention;

[0036] Figure 6 1 is a structural block diagram of an adaptive integrated feeder automation adaptability analysis device according to an embodiment of the present invention;

[0037] Figure 7 This is a schematic block diagram of the system structure of the electronic device 9600 according to an embodiment of the present application. DETAILED DESCRIPTION

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0039] Those skilled in the art will appreciate that the embodiments of the present invention may be implemented as a system, apparatus, device, method, or computer program product. Therefore, the present disclosure may be implemented in the following forms: entirely in hardware, entirely in software (including firmware, resident software, microcode, etc.), or in a combination of hardware and software.

[0040] Given that existing adaptive integrated feeder automation systems may experience malfunction, embodiments of the present invention propose a method and apparatus for self-balancing distribution area resource allocation. This method conducts adaptability analysis of an adaptive integrated feeder automation system for distributed renewable energy distribution networks, clarifying the behavior of feeder automation under different types of faults. Based on the adaptability analysis results, the adaptive integrated feeder automation system's configuration parameters or fault handling strategies are adjusted to ensure the safe and reliable operation of the active distribution network.

[0041] Figure 1 4 is a flow chart of an adaptive integrated feeder automation adaptability analysis method in an embodiment of the present invention. Figure 2 FIG. 1 is a flow chart of an adaptive integrated feeder automation adaptability analysis method according to another embodiment of the present invention. Figure 1 As shown in FIG, the adaptive integrated feeder automation adaptability analysis method includes:

[0042] S101: Perform fault simulation after setting a fault according to the established active distribution network simulation model.

[0043] Figure 4 Schematic diagram of an active distribution network simulation model in an embodiment of the present invention. Figure 5 FIG. 1 is a schematic diagram of an active distribution network simulation model after a fault is set in an embodiment of the present invention. Figure 4-Figure 5 As shown in the figure, the active distribution network simulation model mainly includes the main grid system measured equivalent power supply, system measured equivalent impedance, main transformer, grounding transformer, substation outlet circuit breaker B1, section switches FS1-FS5, tie switches LS1, LS2, trunk units 1-3, branch units 1-2 and distributed photovoltaic 1-2, etc.

[0044] B1 is configured in protection mode, FS1, FS2, FS3, and FS5 are configured in adaptive integrated sectionalizing mode, and FS4 is configured in protection mode. Protection mode features one or two sections of overcurrent protection and reclosing. Sectionalizing mode includes undervoltage tripping, delayed closing upon power inflow, fault memory, and forward and reverse power inflow blocking. FS1-FS5 are all equipped with current transformers and dual-side voltage transformers.

[0045] The grounding transformer can configure the distribution network into an ungrounded system, a grounded system via an arc suppression coil, and a grounded system via a small resistance.

[0046] Distributed photovoltaic modules can be modeled using white box or controllable current source methods to provide circuit current during distribution network faults.

[0047] like Figure 5 As shown in the figure, after building the target active distribution network electromagnetic transient simulation model, the distribution network fault handling logic of the adaptive integrated feeder automation is modeled in the electromagnetic transient simulation software. The logic parameters of the adaptive integrated feeder automation are set, and faults F1, F2, and F3 are set on the trunk and branch lines according to the active distribution network structure for simulation. The fault transition resistance can be flexibly set.

[0048] S102: Determine a standard action behavior of each switch according to the logic parameters of each switch.

[0049] Figure 3 This is a flow chart of S102 in an embodiment of the present invention. Figure 3 As shown, S102 includes:

[0050] S201: Determine the standard time of each switch according to the time parameter in the logic parameter of each switch.

[0051] Among them, the overcurrent protection setting value of circuit breaker B1 is Z1, the delay is T1, the reclosing time is CH1, and CH1±0.05s is the standard time; the overcurrent protection setting value of FS4 is Z4, the delay is T4 (standard time), the reclosing time is CH4, and the standard time is CH4±0.05s. The no-pressure setting value of FS1, FS2, FS3, and FS5 is U L , the delay time without pressure is T SL (standard time), the pressure setting value is U Y , the delay time without pressure is T SY (Standard time), the incoming call delay closing time is X, X±0.05s and X+S±0.05s are standard time, and the long delay is S.

[0052] S202: Determine a standard action behavior of each switch according to the standard time of each switch and the current and voltage parameters in the logic parameters of each switch.

[0053] The standard action of circuit breaker B1 is: the initial state of B1 is closed, and the secondary current value of the current transformer is I b1 B1 should be in I b1 >Z1 and maintain T1, then change from closed position to detached position, and change from detached position to closed position within CH1±0.05s.

[0054] The standard action of the sectionalizer FS1 is: the initial state of FS1 is closed, and the secondary voltage value of the voltage transformer is U l1 and U R1 FS1 should be in U l1 L AndU R1 L And keep T SL After time, the combined position changes to the divided position; l1 >U Y or U R1 >U Y And keep T SY After the time is up, it changes from open position to closed position within the time limit of X±0.05s. The standard action behavior of FS3 and FS5 is the same as FS1.

[0055] The standard action of the sectionalizer FS2 is: the initial state of FS2 is closed, and the secondary voltage value of the voltage transformer is U l2 and U R2 FS2 should be in U l2 L AndU R2 L And keep T SL After a certain time, the closed position changes to the split position; FS1 should be in U l1 >U Y or U l2 >U Y And trigger the fault memory, keep T SY After the time, it changes from open position to closed position within the time limit of X±0.05s; l1 >U Y or U l2 >U Y There is no fault memory, keep T SY After the time, it changes from open position to closed position within the time limit of X+S±0.05s.

[0056] The standard operating behavior of the sectionalizer FS4 is as follows: FS4 is initially in the closed position, and the secondary current value of the current transformer is I4. FS4 should change from the closed position to the open position after I4>Z4 and remain for T4, and change from the open position to the closed position within CH4±0.05s.

[0057] S103: adjusting corresponding logic parameters according to the comparison result between the action behavior of each switch and the corresponding standard action behavior.​​​​

[0058] In one embodiment, S103 includes: when the action behavior of each switch is inconsistent with the corresponding standard action behavior, adjusting the corresponding logic parameter.

[0059] Adaptive integrated feeder automation adaptability analysis requires simulation testing for different fault locations, fault types, and fault transition resistances. The program reads and analyzes the behavior of the B1 and FS1-FS5 switches after each fault. If the behavior of each switch differs from the corresponding standard behavior, the corresponding logic parameters are adjusted.

[0060] In one embodiment, the method further includes adjusting logic parameters corresponding to each switch according to a comparison result between a standard opening and closing position of each switch corresponding to each fault and an actual opening and closing position of each switch.

[0061] In specific implementation, 55 seconds after a permanent short circuit fault occurs in fault F1, the standard opening and closing position of B1 is closed, the standard opening and closing position of FS1 is closed, the standard opening and closing position of FS2 is open, the standard opening and closing position of FS3 is open, the standard opening and closing position of FS4 is closed, and the standard opening and closing position of FS5 is closed.

[0062] 55s after a permanent short circuit occurs in fault F2, the standard opening and closing position of B1 is closed, the standard opening and closing position of FS1 is closed, the standard opening and closing position of FS2 is closed, the standard opening and closing position of FS3 is open, the standard opening and closing position of FS4 is closed, and the standard opening and closing position of FS5 is closed.

[0063] 55s after a permanent short circuit occurs in fault F3, the standard opening and closing position of B1 is closed, the standard opening and closing position of FS1 is closed, the standard opening and closing position of FS2 is closed, the standard opening and closing position of FS3 is closed, the standard opening and closing position of FS4 is closed, and the standard opening and closing position of FS5 is open.

[0064] If the behavior of B1, FS1, FS2, FS3, FS4, and FS5 differs from the above, the adaptive integrated feeder automation is not suitable and its parameters need to be adjusted. If the parameters still do not work correctly after adjustment, the distribution line is not suitable for adaptive integrated feeder automation and can be replaced with master station centralized feeder automation.

[0065] Figure 1 The execution subject of the adaptive comprehensive feeder automation adaptability analysis method shown can be a computer. Figure 1As can be seen from the process shown, the adaptive integrated feeder automation adaptability analysis method of the embodiment of the present invention uses electromagnetic transient simulation software to build a target active distribution network simulation model, and models the distribution network fault handling logic of the adaptive integrated feeder automation in the electromagnetic transient software. By simulating distribution network faults at different locations, the action logic of the distribution terminal is automatically read. According to the adaptability analysis results, the configuration parameters or fault handling strategy of the adaptive integrated feeder automation system are adjusted to ensure the safe and reliable operation of the active distribution network.

[0066] Based on the same inventive concept, an embodiment of the present invention also provides an adaptive integrated feeder automation adaptability analysis device. Since the principle of solving the problem by the device is similar to that of the adaptive integrated feeder automation adaptability analysis method, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be repeated.

[0067] Figure 6 : is a structural block diagram of the adaptive integrated feeder automation adaptability analysis device in the embodiment of the present invention. Figure 6 As shown, the adaptive comprehensive feeder automation adaptability analysis device includes:

[0068] The fault simulation module is used to perform fault simulation after setting the fault according to the established active distribution network simulation model;

[0069] A standard action behavior module is used to determine the standard action behavior of each switch according to the logic parameters of each switch;

[0070] The first logic parameter adjustment module is configured to adjust the corresponding logic parameter according to a comparison result between the action behavior of each switch and the corresponding standard action behavior.

[0071] In one embodiment, the first logic parameter adjustment module is specifically configured to:

[0072] When the action behavior of each switch is inconsistent with the corresponding standard action behavior, the corresponding logic parameters are adjusted.

[0073] In one embodiment, the standard action behavior module includes:

[0074] A standard time unit, used to determine the standard time of each switch according to the time parameter in the logic parameter of each switch;

[0075] The standard action behavior unit is used to determine the standard action behavior of each switch according to the standard time of each switch and the current and voltage parameters in the logic parameters of each switch.

[0076] In one embodiment, it further includes:

[0077] The second logic parameter adjustment module is used to adjust the logic parameters corresponding to each switch according to the comparison result between the standard opening and closing positions of each switch corresponding to each fault and the actual opening and closing positions of each switch.

[0078] The adaptive integrated feeder automation adaptability analysis device of the embodiment of the present invention uses electromagnetic transient simulation software to build a target active distribution network simulation model, and models the distribution network fault handling logic of the adaptive integrated feeder automation in the electromagnetic transient software. By simulating distribution network faults at different locations, the action logic of the distribution terminal is automatically read. According to the adaptability analysis results, the configuration parameters or fault handling strategy of the adaptive integrated feeder automation system are adjusted to ensure the safe and reliable operation of the active distribution network.

[0079] Figure 7 Schematic block diagram of the system structure of the electronic device 9600 according to an embodiment of the present application. Figure 7 As shown, the electronic device 9600 may include a central processing unit 9100 and a memory 9140; the memory 9140 is coupled to the central processing unit 9100. It is worth noting that the Figure 7 is exemplary; other types of structures may also be used to supplement or replace this structure to implement telecommunication functions or other functions.

[0080] In one embodiment, the adaptive integrated feeder automation adaptability analysis method function may be integrated into the central processing unit 9100. The central processing unit 9100 may be configured to perform the following control:

[0081] Perform fault simulation after setting up faults according to the established active distribution network simulation model;

[0082] Determine the standard action behavior of each switch based on the logical parameters of each switch;

[0083] The corresponding logic parameters are adjusted according to the comparison result between the action behavior of each switch and the corresponding standard action behavior.

[0084] From the above description, it can be seen that the adaptive integrated feeder automation adaptability analysis method provided in this application uses electromagnetic transient simulation software to build a target active distribution network simulation model, and models the distribution network fault handling logic of the adaptive integrated feeder automation in the electromagnetic transient software. By simulating distribution network faults at different locations, the action logic of the distribution terminal is automatically read. According to the adaptability analysis results, the configuration parameters or fault handling strategies of the adaptive integrated feeder automation system are adjusted to ensure the safe and reliable operation of the active distribution network.

[0085] In another embodiment, the adaptive integrated feeder automation adaptability analysis device can be configured separately from the central processing unit 9100. For example, the adaptive integrated feeder automation adaptability analysis device can be configured as a chip connected to the central processing unit 9100, and the functions of the adaptive integrated feeder automation adaptability analysis method can be realized through the control of the central processing unit.

[0086] like Figure 7 As shown, the electronic device 9600 may further include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is worth noting that the electronic device 9600 does not necessarily have to include Figure 7 In addition, the electronic device 9600 may also include all components shown in Figure 7 For components not shown, reference may be made to the prior art.

[0087] like Figure 7 As shown, the central processing unit 9100 is sometimes also referred to as a controller or operation control, and may include a microprocessor or other processor device and / or logic device. The central processing unit 9100 receives input and controls the operation of various components of the electronic device 9600.

[0088] Memory 9140 can be, for example, one or more of a cache, flash memory, hard drive, removable media, volatile memory, non-volatile memory, or other suitable devices. It can store the aforementioned failure-related information and also store programs that execute the relevant information. The CPU 9100 can execute the programs stored in memory 9140 to implement information storage or processing.

[0089] The input unit 9120 provides input to the central processing unit 9100. The input unit 9120 may be, for example, a keypad or touch input device. The power supply 9170 is used to provide power to the electronic device 9600. The display 9160 is used to display objects such as images and text. The display may be, for example, an LCD display, but is not limited thereto.

[0090] The memory 9140 may be a solid-state memory, such as a read-only memory (ROM), a random access memory (RAM), or a SIM card. Alternatively, it may be a memory that retains information even when power is off, can be selectively erased, and is provided with more data. Examples of such memory are sometimes referred to as EPROMs. The memory 9140 may also be some other type of device. The memory 9140 includes a buffer 9141 (sometimes referred to as a buffer memory). The memory 9140 may include an application / function storage unit 9142 for storing application programs and function programs or processes for executing the operation of the electronic device 9600 by the central processing unit 9100.

[0091] The memory 9140 may also include a data storage unit 9143 for storing data, such as contacts, digital data, pictures, sounds, and / or any other data used by the electronic device. The driver storage unit 9144 of the memory 9140 may include various driver programs for communication functions of the electronic device and / or for executing other functions of the electronic device (such as messaging applications, address book applications, etc.).

[0092] The communication module 9110 is a transmitter / receiver 9110 that transmits and receives signals via an antenna 9111. The communication module (transmitter / receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, which may be the same as in a conventional mobile communication terminal.

[0093] Based on different communication technologies, multiple communication modules 9110 can be provided in the same electronic device, such as a cellular network module, a Bluetooth module, and / or a wireless local area network module. The communication module (transmitter / receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide audio output via the speaker 9131 and receive audio input from the microphone 9132, thereby implementing common telecommunication functions. The audio processor 9130 may include any suitable buffer, decoder, amplifier, etc. Furthermore, the audio processor 9130 is also coupled to the central processing unit 9100, enabling local recording via the microphone 9132 and playback of stored audio via the speaker 9131.

[0094] An embodiment of the present invention also provides a computer-readable storage medium capable of implementing all steps of the adaptive integrated feeder automation adaptability analysis method in the above embodiment, where the execution subject is a server or a client. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, all steps of the adaptive integrated feeder automation adaptability analysis method in the above embodiment are implemented. For example, when the processor executes the computer program, the following steps are implemented:

[0095] Perform fault simulation after setting up faults according to the established active distribution network simulation model;

[0096] Determine the standard action behavior of each switch based on the logical parameters of each switch;

[0097] The corresponding logic parameters are adjusted according to the comparison result between the action behavior of each switch and the corresponding standard action behavior.

[0098] In summary, the computer-readable storage medium of an embodiment of the present invention uses electromagnetic transient simulation software to build a target active distribution network simulation model, and models the distribution network fault handling logic of the adaptive integrated feeder automation in the electromagnetic transient software. By simulating distribution network faults at different locations, the action logic of the distribution terminal is automatically read. According to the adaptability analysis results, the configuration parameters or fault handling strategy of the adaptive integrated feeder automation system are adjusted to ensure the safe and reliable operation of the active distribution network.

[0099] An embodiment of the present invention also provides a computer program product capable of implementing all steps of the adaptive integrated feeder automation adaptability analysis method in the above embodiment, where the execution subject is a server or a client. The computer program product includes a computer program / instruction. When the computer program / instruction is executed by a processor, all steps of the adaptive integrated feeder automation adaptability analysis method in the above embodiment are implemented. For example, when the processor executes the computer program, the following steps are implemented:

[0100] Perform fault simulation after setting up faults according to the established active distribution network simulation model;

[0101] Determine the standard action behavior of each switch based on the logical parameters of each switch;

[0102] The corresponding logic parameters are adjusted according to the comparison result between the action behavior of each switch and the corresponding standard action behavior.

[0103] In summary, the computer program product of the embodiment of the present invention uses electromagnetic transient simulation software to build a target active distribution network simulation model, and models the distribution network fault handling logic of the adaptive integrated feeder automation in the electromagnetic transient software. By simulating distribution network faults at different locations, the action logic of the distribution terminal is automatically read. According to the adaptability analysis results, the configuration parameters or fault handling strategy of the adaptive integrated feeder automation system are adjusted to ensure the safe and reliable operation of the active distribution network.

[0104] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other. Each embodiment focuses on the differences between the other embodiments. In particular, the hardware + program embodiments are generally similar to the method embodiments, so their description is relatively simple. For relevant portions, refer to the description of the method embodiments.

[0105] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0106] Although the present application provides method operation steps as described in the embodiments or flowcharts, more or fewer operation steps may be included based on conventional or non-creative work. The order of steps listed in the embodiments is only one way of executing the steps among many steps and does not represent the only execution order. When the actual device or client product is executed, it can be executed in sequence or in parallel according to the method shown in the embodiments or the drawings (for example, in a parallel processor or multi-threaded processing environment).

[0107] Although the present specification embodiment provides the method operation steps as described in the embodiment or flow chart, more or less operation steps may be included based on conventional or non-creative means. The order of steps listed in the embodiment is only one way in the order of execution of many steps and does not represent a unique execution order. When the device or terminal product in practice is executed, it can be performed in sequence or in parallel according to the method shown in the embodiment or the accompanying drawings (such as a parallel processor or a multi-threaded processing environment, or even a distributed data processing environment). The term "comprise", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, product or equipment including a series of elements not only include those elements, but also include other elements not clearly listed, or also include elements inherent to such process, method, product or equipment. In the absence of more restrictions, it is not excluded that there are other identical or equivalent elements in the process, method, product or equipment including the elements.

[0108] For the convenience of description, the above devices are described in terms of functions divided into various modules. Of course, when implementing the embodiments of this specification, the functions of each module can be implemented in the same or multiple software and / or hardware, or the modules that implement the same function can be implemented by a combination of multiple sub-modules or sub-units, etc. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0109] Those skilled in the art will also appreciate that, in addition to implementing the controller in pure computer-readable program code, it is entirely possible to implement the same functionality by logically programming the method steps in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, embedded microcontrollers, and the like. Therefore, such a controller can be considered a hardware component, and the devices included therein for implementing various functions can also be considered structures within the hardware component. Alternatively, the devices for implementing various functions can be considered both software modules implementing the method and structures within the hardware component.

[0110] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0111] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0112] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0113] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0114] Memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0115] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0116] Those skilled in the art will appreciate that the embodiments of this specification may be provided as methods, systems, or computer program products. Therefore, the embodiments of this specification may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the embodiments of this specification may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0117] The various embodiments of this specification may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, and the like that perform specific tasks or implement specific abstract data types. The embodiments of this specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communications network. In a distributed computing environment, program modules may be located in local and remote computer storage media, including storage devices.

[0118] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between the various embodiments can be referenced to each other. Each embodiment focuses on the differences from the other embodiments. In particular, since the system embodiments are generally similar to the method embodiments, the description is relatively simple. For relevant parts, reference can be made to the description of the method embodiments. Throughout this specification, reference to the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the embodiments in this specification. In this specification, the schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, those skilled in the art may combine and integrate the different embodiments or examples, and features of different embodiments or examples, described in this specification, without conflict.

[0119] The above description is merely an example of the embodiments of this specification and is not intended to limit the embodiments of this specification. For those skilled in the art, various modifications and variations of the embodiments of this specification are possible. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of this specification shall be included within the scope of the claims of the embodiments of this specification.

Claims

1. An adaptive comprehensive feeder automation adaptability analysis method, characterized in that: include: According to the established active distribution network simulation model, fault simulation is performed after setting faults on the trunk line and branch lines respectively. The active distribution network simulation model includes the substation outlet circuit breaker B1, multiple section switches FS1-FS5, grounding transformers and distributed photovoltaic modules; The substation outlet circuit breaker B1 is configured in protection mode, the section switches FS1, FS2, FS3 and FS5 are configured in adaptive comprehensive section mode, and the section switch FS4 is configured in protection mode. The protection mode is configured with one or two sections of overcurrent protection and reclosing function; The sectional mode has the functions of voltage loss tripping, power supply delay closing, fault memory, forward power supply blocking and reverse power supply blocking; Multiple section switches FS1-FS5 are equipped with current transformers and double-side voltage transformers; The grounding transformer configures the distribution network into an ungrounded system, a grounded system via an arc suppression coil, and a grounded system via a small resistance; Distributed photovoltaic modules use white box modeling or controllable current source modeling to provide circuit current during distribution network faults; Determine the standard action behavior of each switch based on the logical parameters of each switch; Adjusting corresponding logic parameters according to the comparison results between the action behavior of each switch and the corresponding standard action behavior; Determining the standard action of each switch according to the logic parameters of each switch includes: The standard time of each switch is determined based on the time parameters in the logic parameters of each switch, including: The overcurrent protection setting of the substation outlet circuit breaker B1 is Z1, the delay is T1, the reclosing time is CH1, and CH1±0.05s is the standard time; The overcurrent protection setting of the section switch FS4 is Z4, the delay is T4, the reclosing time is CH4, and the standard time is CH4±0.05s; The no-pressure setting value of the section switches FS1, FS2, FS3, and FS5 is U L , the delay time without pressure is T SL , the pressure constant is U Y , the delay time without pressure is T SY , the incoming call delay closing time is X, X±0.05s and X+S±0.05s are standard time, and the long delay is S; The standard action behavior of each switch is determined based on the standard time of each switch and the current and voltage parameters in the logic parameters of each switch, specifically including: The standard action of the substation outlet circuit breaker B1 is: the initial state of the substation outlet circuit breaker B1 is closed, and the secondary current value of the current transformer is I b1 , the substation outlet circuit breaker B1 is in I b1 >Z1 and maintain T1, then change from closed position to detached position, and change from detached position to closed position within CH1±0.05s; The standard operating behaviors of the sectionalizers FS1, FS3 and FS5 are as follows: the initial state of the sectionalizer FS1 is closed, and the secondary voltage value of the voltage transformer is U l1 and U R1 ; Section switch FS1 in U l1 L And U R1 L And keep T SL After time, the combined position changes to the divided position; l1 >U Y or U R1 >U Y And keep T SY After the time, it changes from open position to closed position within the time limit of X±0.05s;​​ The standard action of the sectionalizer FS2 is: the initial state of the sectionalizer FS2 is closed, and the secondary voltage value of the voltage transformer is U l2 and U R2 ; Section switch FS2 in U l2 L And U R2 L And keep T SL After a certain time, the position changes from closed to divided; FS1 is in U l1 >U Y or U l2 >U Y And trigger the fault memory, keep T SY After the time, it changes from open position to closed position within the time limit of X±0.05s; l1 >U Y or U l2 >U Y There is no fault memory, keep T SY After the time, it changes from open position to closed position within the time limit of X+S±0.05s;​​ The standard action behavior of the section switch FS4 is: the initial state of the section switch FS4 is closed, and the secondary current value of the current transformer is I4; the section switch FS4 changes from closed to open after I4>Z4 and maintains T4, and changes from open to closed within CH4±0.05s.

2. The adaptive integrated feeder automation adaptability analysis method according to claim 1, characterized in that: Adjusting corresponding logic parameters according to the comparison results of the action behavior of each switch with the corresponding standard action behavior includes: When the action behavior of each switch is inconsistent with the corresponding standard action behavior, the corresponding logic parameters are adjusted.

3. The adaptive integrated feeder automation adaptability analysis method according to claim 1, characterized in that: Also includes: The logic parameters corresponding to each switch are adjusted according to the comparison result between the standard opening and closing positions of each switch corresponding to each fault and the actual opening and closing positions of each switch.

4. An adaptive integrated feeder automation adaptability analysis device, characterized in that: include: A fault simulation module is used to perform fault simulation after setting a fault based on the established active distribution network simulation model; the active distribution network simulation model includes the substation outlet circuit breaker B1, multiple section switches FS1-FS5, a grounding transformer and distributed photovoltaic modules; The substation outlet circuit breaker B1 is configured in protection mode, the section switches FS1, FS2, FS3 and FS5 are configured in adaptive comprehensive section mode, and the section switch FS4 is configured in protection mode. The protection mode is configured with one or two sections of overcurrent protection and reclosing function; The sectional mode has the functions of voltage loss tripping, power supply delay closing, fault memory, forward power supply blocking and reverse power supply blocking; Multiple section switches FS1-FS5 are equipped with current transformers and double-side voltage transformers; The grounding transformer configures the distribution network into an ungrounded system, a grounded system via an arc suppression coil, and a grounded system via a small resistance; Distributed photovoltaic modules use white box modeling or controllable current source modeling to provide circuit current during distribution network faults; A standard action behavior module is used to determine the standard action behavior of each switch according to the logic parameters of each switch; A first logic parameter adjustment module, configured to adjust corresponding logic parameters according to a comparison result between the action behavior of each switch and the corresponding standard action behavior; The standard action behavior module includes: A standard time unit, used to determine the standard time of each switch according to the time parameter in the logic parameter of each switch; A standard action behavior unit, configured to determine a standard action behavior of each switch according to a standard time of each switch and current and voltage parameters in logic parameters of each switch; The standard time unit is specifically used for the overcurrent protection setting of the substation outlet circuit breaker B1, which is Z1, the delay is T1, the reclosing time is CH1, and CH1±0.05s is the standard time; The overcurrent protection setting of the section switch FS4 is Z4, the delay is T4, the reclosing time is CH4, and the standard time is CH4±0.05s; The no-pressure setting value of the section switches FS1, FS2, FS3, and FS5 is U L , the delay time without pressure is T SL , the pressure constant is U Y , the delay time without pressure is T SY , the incoming call delay closing time is X, X±0.05s and X+S±0.05s are standard time, and the long delay is S; The standard action behavior unit is specifically used for the standard action behavior of the substation outlet circuit breaker B1: the initial state of the substation outlet circuit breaker B1 is closed, and the secondary current value of the current transformer is I b1 , the substation outlet circuit breaker B1 is in I b1 >Z1 and maintain T1, then change from closed position to detached position, and change from detached position to closed position within CH1±0.05s; The standard operating behaviors of the sectionalizers FS1, FS3 and FS5 are as follows: the initial state of the sectionalizer FS1 is closed, and the secondary voltage value of the voltage transformer is U l1 and U R1 ; Section switch FS1 in U l1 L And U R1 L And keep T SL After time, the combined position changes to the divided position; l1 >U Y or U R1 >U Y And keep T SY After the time, it changes from open position to closed position within the time limit of X±0.05s;​​ The standard action of the sectionalizer FS2 is: the initial state of the sectionalizer FS2 is closed, and the secondary voltage value of the voltage transformer is U l2 and U R2 ; Section switch FS2 in U l2 L And U R2 L And keep T SL After a certain time, the position changes from closed to divided; FS1 is in U l1 >U Y or U l2 >U Y And trigger the fault memory, keep T SY After the time, it changes from open position to closed position within the time limit of X±0.05s; l1 >U Y or U l2 >U Y There is no fault memory, keep T SY After the time, it changes from open position to closed position within the time limit of X+S±0.05s;​​ The standard action behavior of the section switch FS4 is: the initial state of the section switch FS4 is closed, and the secondary current value of the current transformer is I4; the section switch FS4 changes from closed to open after I4>Z4 and maintains T4, and changes from open to closed within CH4±0.05s.

5. The adaptive integrated feeder automation adaptability analysis device according to claim 4, characterized in that: The first logic parameter adjustment module is specifically configured to: When the action behavior of each switch is inconsistent with the corresponding standard action behavior, the corresponding logic parameters are adjusted.

6. The adaptive integrated feeder automation adaptability analysis device according to claim 4, characterized in that: Also includes: The second logic parameter adjustment module is used to adjust the logic parameters corresponding to each switch according to the comparison result between the standard opening and closing positions of each switch corresponding to each fault and the actual opening and closing positions of each switch.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the adaptive integrated feeder automation adaptability analysis method according to any one of claims 1 to 3 are implemented.

8. 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 adaptive integrated feeder automation adaptability analysis method according to any one of claims 1 to 3 are implemented.

9. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the steps of the adaptive integrated feeder automation adaptability analysis method according to any one of claims 1 to 3 are implemented.

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