High-proportion new energy flexible topology distribution network station area user low-voltage factor determination method, device and equipment and medium

Abstract

The invention discloses a method, a device and equipment for determining low-voltage factors of users in a flexible topological distribution network area of high-proportion new energy and a medium. The method comprises the steps of determining a user electricity consumption model; acquiring real-time electric energy information of T nodes corresponding to the user sides; when the model is a first preset user electricity utilization model, directly determining that the low-voltage factors of each user are power distribution gear factors; when the model is a second preset user electricity utilization model, whether the T node is abnormal or not is judged according to the real-time electric energy information of the T node corresponding to the first preset low-voltage user in the model; if yes, determining that a first preset low-voltage user low-voltage factor in the model is a T node abnormal factor; if not, determining a lead cross section area factor; when the model is a third preset user electricity utilization model, whether the T node is abnormal or not is judged according to the real-time electric energy information of the T node corresponding to the second preset low-voltage user in the model; and if not, determining a second preset low-voltage user low-voltage factor in the model as a power supply radius factor.

Description

Technical Field

[0001] The implementation of the present invention relates to the technical field of distribution network, and in particular to a method, method, device, equipment and medium for determining low-voltage factors of users in a flexible topology distribution network with a high proportion of new energy. Background Art

[0002] Due to the rapid development of my country's economy and the continuous improvement of people's living standards, the supply and demand of electricity have spread to all aspects of social production and people's lives, and the demand for electricity in society is increasing. At the same time, the adjustment of industrial structure, the gradual formation of the power market and the improvement of the electricity price mechanism have also put forward higher requirements for the economy and reliability of the power grid. The grid connection and utilization of household photovoltaics are of great significance to alleviating the current energy and environmental crisis. At present, some users in the flexible topology distribution network area use high-proportion new energy such as photovoltaics; and the analysis and management of low voltage of users in the flexible topology distribution network area with high proportion of new energy is particularly important. At present, the analysis factors of low voltage of users are relatively imperfect. Summary of the invention

[0003] The present invention provides a method, method, device, equipment and medium for determining low-voltage factors of users in a flexible topology distribution network station area with a high proportion of new energy, so as to realize effective analysis of low-voltage factors of users.

[0004] To achieve the above objectives, in a first aspect, an embodiment of the present invention provides a method for determining low-voltage factors of users in a flexible topology distribution network area with a high proportion of new energy, the method comprising:

[0005] Determine the voltage information of each user terminal at different power supply radii within the preset power supply radius of the distribution network station area, and determine the user power consumption model;

[0006] Obtain real-time power information of the T-nodes corresponding to each user end in the distribution network area;

[0007] When the user power consumption model is the first preset user power consumption model, the low voltage factor of each user is directly determined as the power distribution gear factor;

[0008] When the user power consumption model is the second preset user power consumption model, determine whether the T node is abnormal according to the real-time power information of the T node corresponding to the first preset low-voltage user in the user power consumption model; if so, determine that the low-voltage factor of the first preset low-voltage user in the user power consumption model is the abnormal factor of the T node; if not, determine that the low-voltage factor of the first preset low-voltage user in the user power consumption model is the factor of the cross-sectional area of ​​the wire between the first preset low-voltage user and the corresponding T node;

[0009] When the user power usage model is the third preset user power usage model, determine whether the T node is abnormal based on the real-time power information of the T node corresponding to the second preset low-voltage user in the user power usage model; if so, determine that the low-voltage factor of the second preset low-voltage user in the user power usage model is the T-node abnormal factor; if not, determine that the low-voltage factor of the second preset low-voltage user in the user power usage model is the power supply radius factor.

[0010] Optionally, the method further includes:

[0011] Determine the real-time voltage information of each user within the preset power supply radius of the distribution network station area, and determine the power consumption time model of each user;

[0012] According to the electricity consumption time model, the low voltage factor of the corresponding user is determined to be a time period factor.

[0013] Optionally, the method further includes:

[0014] Determine the voltage information of each user at different temperatures within the preset power supply radius of the distribution network station area, and determine the power consumption temperature model of each user;

[0015] According to the electricity consumption temperature model, it is determined that the low voltage factor corresponding to the user is a seasonal factor.

[0016] Optionally, determining the voltage information of each user terminal includes:

[0017] The voltage information at each user end is determined based on the output power of the transformer in the distribution network area, the length of the wire between each user and the T node, the wire resistivity, the wire cross-section, the wire inductance, the geometric average distance, the reactance parameters within the user and the user power factor.

[0018] Optionally, determining the voltage information of each user terminal includes:

[0019] The voltage information of each user end is determined based on the output power of the transformer in the distribution network area, the length of the wire between each user and the T node, the wire resistivity, the wire cross-section, the wire inductance, the geometric average distance, the reactance parameters within the user, the user power factor, the user rated voltage, the relative magnetic permeability of the wire and the AC frequency of the distribution network area.

[0020] Optionally, the voltage information of each user terminal is determined according to the output power of the transformer in the distribution network area, the length of the wire between each user and the T node, the wire resistivity, the wire cross section, the wire inductance, the geometric average distance, the user's internal reactance parameters, the user's power factor, the user's rated voltage, the relative magnetic permeability of the wire and the AC frequency of the distribution network area, specifically:

[0021] △U=(P*ρl / s+Q2πfL(4.16lgD m / r+μ r )) / UN

[0022] Wherein, P is the output power of the transformer in the distribution network area; l is the length of the wire between each user and the T node; ρ is the wire resistivity; s is the wire cross section; D m is the geometric mean distance; L is the user internal reactance parameter; Q is the user power factor; U N is the rated voltage of the user; μ r is the relative magnetic permeability of the conductor; f is the AC frequency of the distribution network area.

[0023] Optionally, the method further includes:

[0024] The low voltage level of the distribution station area is determined according to the user's electricity consumption model.

[0025] Optionally, judging whether the T node is abnormal according to the real-time power information of the T node corresponding to the first preset low-voltage user in the user power consumption model includes:

[0026] Determine the power difference information according to the power information at the previous moment and the power information at the current moment;

[0027] Determine the degree of electric energy deviation according to the electric energy difference information and the electric energy information at the current moment;

[0028] Whether the T node is abnormal is determined according to the power deviation degree and a preset power deviation threshold.

[0029] In a second aspect, an embodiment of the present invention further provides a device for determining low-voltage factors of users in a flexible topology distribution network area with a high proportion of new energy, the device comprising:

[0030] A determination module is used to determine the voltage information of each user terminal at different power supply radii within the preset power supply radius of the distribution network station area, and determine the user power consumption model;

[0031] The acquisition module is used to obtain the real-time power information of the T nodes corresponding to each user end in the distribution network area;

[0032] A first factor module, used for directly determining each user's low voltage factor as a power distribution gear factor when the user power consumption model is a first preset user power consumption model;

[0033] The second factor module is used to determine whether the T node is abnormal according to the real-time power information of the T node corresponding to the first preset low-voltage user in the user power consumption model when the user power consumption model is the second preset user power consumption model; if so, determine that the low-voltage factor of the first preset low-voltage user in the user power consumption model is the abnormal factor of the T node; if not, determine that the low-voltage factor of the first preset low-voltage user in the user power consumption model is the factor of the cross-sectional area of ​​the wire between the first preset user and the corresponding T node;

[0034] The third factor module is used to determine whether the T node is abnormal according to the real-time power information of the T node corresponding to the second preset low-voltage user in the user power usage model when the user power usage model is the third preset user power usage model; if so, determine that the low-voltage factor of the second preset low-voltage user in the user power usage model is the T-node abnormal factor; if not, determine that the low-voltage factor of the second preset low-voltage user in the user power usage model is the power supply radius factor.

[0035] In a third aspect, an embodiment of the present invention further provides an electronic device, the electronic device comprising:

[0036] at least one processor; and

[0037] a memory communicatively connected to the at least one processor; wherein,

[0038] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for determining the low-voltage factor of users in the flexible topology distribution network area with a high proportion of new energy as described in the first aspect.

[0039] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable a processor to implement the method for determining low-voltage factors of users in a flexible topology distribution network area with a high proportion of new energy as described in the first aspect when executing the computer instructions.

[0040] The embodiment of the present invention determines the voltage information of each user terminal at different power supply radii within the preset power supply radius of the distribution network area, and determines the user power consumption model; and also obtains the real-time power information of the T node corresponding to each user terminal in the distribution network area; in this way, when the user power consumption model is the first preset user power consumption model, the low-voltage factor of each user is directly determined as the power distribution gear factor; when the user power consumption model is the second preset user power consumption model, it is determined whether the T node is abnormal according to the real-time power information of the T node corresponding to the first preset low-voltage user in the user power consumption model; if so, the low-voltage factor of the first preset low-voltage user in the user power consumption model is determined as the abnormal factor of the T node; If not, determine that the low-voltage factor of the first preset low-voltage user in the user's power usage model is the factor of the wire cross-sectional area between the first preset low-voltage user and the corresponding T-node; when the user's power usage model is the third preset user's power usage model, determine whether the T-node is abnormal based on the real-time power information of the T-node corresponding to the second preset low-voltage user in the user's power usage model; if so, determine that the low-voltage factor of the second preset low-voltage user in the user's power usage model is the T-node abnormal factor; if not, determine that the low-voltage factor of the second preset low-voltage user in the user's power usage model is the power supply radius factor, thereby achieving effective analysis of the user's low-voltage factors and making corresponding measures in a targeted manner.

[0041] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of 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 creative work.

[0043] Figure 1 It is a flow chart of a method for determining low-voltage factors of users in a flexible topology distribution network area with a high proportion of new energy provided by an embodiment of the present invention;

[0044] Figure 2 It is a flow chart of another method for determining low-voltage factors of users in a flexible topology distribution network area with a high proportion of new energy provided by an embodiment of the present invention;

[0045] Figure 3 It is a structural schematic diagram of a device for determining low-voltage factors of users in a flexible topology distribution network area with a high proportion of new energy provided by an embodiment of the present invention;

[0046] Figure 4 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. 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 creative work should fall within the scope of protection of the present invention.

[0048] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0049] Figure 1 The present invention provides a method for determining low voltage factors of users in a flexible topology distribution network area with a high proportion of new energy. The present invention can be applied to analyzing the causes of low voltage of users in a distribution network area. The method can be performed by a device for determining low voltage factors of users in a flexible topology distribution network area, and specifically includes the following steps:

[0050] S110, determining the voltage information of each user terminal at different power supply radii within the preset power supply radius of the distribution network station area, and determining the user power consumption model.

[0051] Among them, the preset power supply radius is a general power supply range interval calibrated by a distribution network area; within the preset power supply radius of the distribution network area, each user is distributed at a different power supply radius from the distribution network area, and each user takes electricity from a distribution network area; the voltage information of each user terminal can represent the power consumption of each user at a fixed time point; the voltage information of each user terminal can be collected by a voltage collection module or other methods, which is not limited in this embodiment;

[0052] The user electricity consumption model is a model established within a preset power supply radius based on the voltage information of the user terminals corresponding to different power supply radii.

[0053] S120. Acquire real-time power information of T nodes corresponding to each user terminal in the distribution network area.

[0054] Generally, the distribution station area is connected to the three-phase bus through a transformer; each user is electrically connected to any phase bus on the three-phase bus through a wire, thereby drawing electricity from any phase bus on the three-phase bus; the T-node corresponding to each user end is the intersection of the electrical connection between the user end and any phase line; each T-node monitoring module is set at the T-node corresponding to each user end in the distribution network area, and the T-node monitoring module can monitor the real-time power information of the T node; the power information includes voltage information and / or current information.

[0055] S130: When the user power consumption model is the first preset user power consumption model, directly determine the low voltage factor of each user as the power distribution gear factor.

[0056] Generally speaking, the factors that cause low voltage at each user include: power supply radius factor, distribution transformer gear factor, T node abnormality and the wire cross-sectional area factor corresponding to the T node; when the voltage information at the user end corresponding to different power supply radii in the distribution network area is less than the qualified voltage information, it can be judged that it is the distribution transformer gear factor; and as the power supply radius increases, when the voltage information at each user end changes from qualified voltage information to unqualified information, it can be judged that it is caused by the power supply radius factor;

[0057] In this embodiment, the first preset user power consumption model is a model in which the voltage information of the user terminals corresponding to different power supply radii within the preset power supply radius is less than the qualified voltage information; the qualified voltage information is the user's lowest power consumption voltage information; when the user power consumption model is the first preset user power consumption model, it can be directly determined that the low voltage of each user is caused by the distribution transformer gear position factor, that is, the low voltage factor of each user is determined to be the distribution transformer gear position factor, and the gear of the distribution transformer can be directly adjusted subsequently.

[0058] S131. When the user power usage model is the second preset user power usage model, determine whether the T node is abnormal according to the real-time power information of the T node corresponding to the first preset low-voltage user in the user power usage model.

[0059] Among them, the second preset user power consumption model is: within the preset power supply radius, as the power supply radius increases, the voltage information of each user end is converted from qualified voltage information to unqualified voltage information, and then converted to qualified voltage information; if the user power consumption model is the second preset user power consumption model, the first preset low-voltage user in the user power consumption model is the user on the power supply radius corresponding to the unqualified voltage information on the user power consumption model;

[0060] The T-node abnormality means that the real-time power information of the T-node is unstable at different times, and the power information deviation at different times is greater than the preset deviation value. The T-node abnormality can be judged based on the real-time power information of the T-node corresponding to the first preset low-voltage user in the user power consumption model.

[0061] S140: If yes, determine that the first preset low-voltage user low-voltage factor in the user power consumption model is a T-node abnormal factor.

[0062] Among them, when the user's electricity consumption model is the second preset user's electricity consumption model instead of the first preset user's electricity consumption model, it can be determined that the low-voltage factor of the first preset low-voltage user is neither the distribution gear factor nor the power supply radius factor; further, when the T-node corresponding to the first preset low-voltage user is abnormal, it can be determined that the low-voltage factor of the first preset low-voltage user is the T-node abnormal factor.

[0063] S141: If not, determine that the low-voltage factor of the first preset low-voltage user in the user power consumption model is a factor of the cross-sectional area of ​​the wire between the first preset low-voltage user and the corresponding T node.

[0064] Among them, when the user's electricity consumption model is the second preset user's electricity consumption model instead of the first preset user's electricity consumption model, it can be determined that the low-voltage factor of the first preset low-voltage user is neither the distribution gear factor nor the power supply radius factor; further, when the T-node corresponding to the first preset low-voltage user is not abnormal, it can be determined that the low-voltage factor of the first preset low-voltage user is the wire cross-sectional area factor between the first preset low-voltage user and the corresponding T-node.

[0065] S132: when the user power usage model is the third preset user power usage model, judging whether the T node is abnormal according to the real-time power information of the T node corresponding to the second preset low-voltage user in the user power usage model;

[0066] The third preset user power consumption model is: within the preset power supply radius, as the power supply radius increases, the voltage information of each user terminal is converted from qualified voltage information to unqualified voltage information;

[0067] If the user power usage model is the third preset user power usage model, the second preset low-voltage user in the user power usage model is the user in the power supply radius corresponding to the unqualified voltage information on the user power usage model;

[0068] When the user's power usage model is the third preset user power usage model, it can be determined that the reason for the low voltage of the second preset low-voltage user in the user's power usage model is that the power supply radius is too large; that is, when the user's power usage model is the third preset user power usage model, it can be determined that the low voltage factor of the second preset low-voltage user in the user's power usage model is the power supply radius factor.

[0069] S142: If yes, determine that the second preset low-voltage user low-voltage factor in the user's power consumption model is a T-node abnormal factor.

[0070] Among them, when the user's electricity consumption model is the third preset user electricity consumption model instead of the first preset user electricity consumption model, it can be determined that the low-voltage factor of the first preset low-voltage user is not a distribution gear factor, nor a power supply radius factor; further, when the T-node corresponding to the second preset low-voltage user is abnormal, it can be determined that the low-voltage factor of the second preset low-voltage user is a T-node abnormal factor.

[0071] S143: If not, determine that the second preset low-voltage user low-voltage factor in the user's power consumption model is a power supply radius factor.

[0072] The embodiment of the present invention determines the voltage information of each user terminal at different power supply radii within a preset power supply radius of the distribution network area, and determines the user's power consumption model; it also obtains the real-time power information of the T-node corresponding to each user terminal in the distribution network area; in this way, according to different user power consumption models and the real-time power information of the T-node corresponding to each user terminal, it is possible to effectively analyze the low-voltage factors of the user, and take corresponding measures in a targeted manner.

[0073] Optionally, based on the above embodiment, further optimization is performed: Figure 2 1 is a flow chart of another method for determining low voltage factors of users in a flexible topology distribution network area with a high proportion of new energy provided by an embodiment of the present invention. Figure 2 As shown, the method comprises the following steps:

[0074] S210: Determine the real-time voltage information of each user in the distribution network area, and determine the power consumption time model of each user.

[0075] The electricity consumption time model is a model established based on the voltage information obtained by each user in the distribution station area at each time period of the day.

[0076] S220. Determine, according to the electricity usage time model, that the low voltage factor corresponding to the user is a time period factor.

[0077] Among them, when the electricity consumption time model is that the voltage information is qualified information in a specified time period; the voltage information is unqualified information in other specified time periods (such as the peak electricity consumption period at noon); it can be directly determined that the low voltage factor of the corresponding user is a time period factor; that is, the low voltage is caused by environmental factors, rather than the low voltage caused by the distribution network itself.

[0078] S230: Determine the voltage information of each user in the distribution network area under different temperatures, and determine the power consumption temperature model of each user.

[0079] Among them, the electricity temperature model is a model established based on the voltage information obtained by each user in the distribution station area under different ambient temperatures throughout the year.

[0080] S240. Determine, according to the electricity usage time model, that the low voltage factor corresponding to the user is a seasonal factor.

[0081] Among them, when the electricity consumption time model is that the voltage information in a specified temperature range is qualified information, and the voltage information in other specified temperature ranges is unqualified information (such as the winter electricity consumption period), it can be directly determined that the low voltage factor of the corresponding user is a time period factor; that is, the low voltage is caused by environmental factors, rather than the low voltage caused by the distribution network itself.

[0082] S250: Determine the voltage information of each user terminal at different power supply radii within the preset power supply radius of the distribution network station area, and determine the user power consumption model.

[0083] Among them, determining the voltage information of each user end includes: determining the voltage information of each user end according to the output power of the transformer in the distribution network area, the length of the wire between each user and the T node, the wire resistivity, the wire cross-section, the wire inductance, the geometric average distance, the user's internal reactance parameters, the user's power factor, the user's rated voltage, the relative magnetic permeability of the wire and the AC frequency of the distribution network area.

[0084] The voltage information of each user terminal is determined according to the output power of the transformer in the distribution network area, the length of the wire between each user and the T node, the wire resistivity, the wire cross section, the wire inductance, the geometric distance, the user's internal reactance parameters, the user's power factor, the user's rated voltage, the relative magnetic permeability of the wire and the AC frequency of the distribution network area. Specifically:

[0085] △U=(P*ρl / s+Q2πfL(4.16lgD m / r+μ r )) / U N

[0086] Where P is the output power of the transformer in the distribution network area; l is the length of the wire between each user and the T node; ρ is the wire resistivity; s is the wire cross section; D m is the geometric mean distance; L is the user's internal reactance parameter; Q is the user's power factor; U N is the user rated voltage; μ r is the relative magnetic permeability of the conductor; f is the AC frequency in the distribution network area.

[0087] S260. Obtain real-time power information of the T nodes corresponding to each user terminal in the distribution network area.

[0088] S270: When the user power consumption model is the first preset user power consumption model, directly determine the low voltage factor of each user as the power distribution gear factor.

[0089] S271. When the user power usage model is the second preset user power usage model, determine whether the T node is abnormal based on the real-time power information of the T node corresponding to the first preset low-voltage user in the user power usage model.

[0090] Specifically, whether the T node is abnormal is determined based on the real-time power information of the T node corresponding to the first preset low-voltage user in the user's power consumption model, including: determining the power difference information based on the power information at the previous moment and the power information at the current moment; determining the power deviation degree based on the power difference information and the power information at the current moment; determining whether the T node is abnormal based on the power deviation degree and the preset power deviation threshold.

[0091] S280: If yes, determine that the first preset low-voltage user low-voltage factor in the user's power consumption model is a T-node abnormal factor.

[0092] S291: If not, determine that the low-voltage factor of the first preset low-voltage user in the user power consumption model is a factor of the cross-sectional area of ​​the wire between the first preset low-voltage user and the corresponding T node.

[0093] S272: When the user power usage model is the third preset user power usage model, determine whether the T node is abnormal based on the real-time power information of the T node corresponding to the second preset low-voltage user in the user power usage model.

[0094] S292: If yes, determine that the second preset low-voltage user low-voltage factor in the user's power consumption model is a T-node abnormal factor.

[0095] S293: If not, determine that the second preset low-voltage user low-voltage factor in the user's power consumption model is a power supply radius factor.

[0096] In addition, the low-voltage level of the distribution station area can also be determined based on the user's electricity consumption model; that is, within the preset power supply radius, the ratio of the number of low-voltage users in the distribution station area to the number of all users in the distribution station area can be counted, and the low-voltage level of the distribution station area can be determined based on different ratios.

[0097] The embodiment of the present invention, based on the above embodiment, determines the voltage information of each user terminal at different power supply radii within the preset power supply radius of the distribution network area, and determines the user's power consumption model; it also obtains the real-time power information of the T node corresponding to each user terminal in the distribution network area; it also obtains the power consumption time model and the power consumption temperature model, so that according to different user power consumption models, the real-time power information of the T node corresponding to each user terminal, the power consumption time model and the power consumption temperature model, it is possible to achieve a comprehensive and effective analysis of the user's low voltage factors, and corresponding measures can be taken in a targeted manner.

[0098] An embodiment of the present invention also provides a device for determining low-voltage factors for users in a flexible topology distribution network area with a high proportion of new energy; the device can execute the method for determining low-voltage factors for users in a flexible topology distribution network area with a high proportion of new energy provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method. Figure 31 is a schematic diagram of a structure of a device for determining low-voltage factors of users in a flexible topology distribution network area with a high proportion of new energy provided by an embodiment of the present invention; Figure 3 As shown, the device comprises:

[0099] The determination module 10 is used to determine the voltage information of each user terminal at different power supply radii within the preset power supply radius of the distribution network station area, and determine the user power consumption model;

[0100] The acquisition module 20 is used to obtain the real-time power information of the T-node corresponding to each user terminal in the distribution network area;

[0101] The first factor module 30 is used to directly determine the low voltage factor of each user as the power distribution gear factor when the user power consumption model is the first preset user power consumption model;

[0102] The second factor module 40 is used to determine whether the T node is abnormal according to the real-time power information of the T node corresponding to the first preset low-voltage user in the user power model when the user power model is the second preset user power model; if so, determine that the low-voltage factor of the first preset low-voltage user in the user power model is the abnormal factor of the T node; if not, determine that the low-voltage factor of the first preset low-voltage user in the user power model is the cross-sectional area factor of the wire between the first preset user and the corresponding T node;

[0103] The third factor module 50 is used to determine whether the T node is abnormal based on the real-time power information of the T node corresponding to the second preset low-voltage user in the user power usage model when the user power usage model is the third preset user power usage model; if so, determine that the low-voltage factor of the second preset low-voltage user in the user power usage model is the T-node abnormal factor; if not, determine that the low-voltage factor of the second preset low-voltage user in the user power usage model is the power supply radius factor.

[0104] An embodiment of the present invention further provides an electronic device, Figure 4 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. The electronic device is intended to represent various forms of digital computers, such as embedded computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0105] like Figure 4As shown, the electronic device 01 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 100 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0106] A number of components in the electronic device 01 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 100 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0107] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 11 executes the various methods and processes described above, such as a method for determining low-voltage factors of users in a flexible topology distribution network area with a high proportion of new energy.

[0108] In some embodiments, a method for determining low-voltage factors for users in a flexible topology distribution network area with a high proportion of new energy can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 01 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for determining low-voltage factors for users in a flexible topology distribution network area with a high proportion of new energy described above can be executed. Alternatively, in other embodiments, the processor 11 can be configured to execute a method for determining low-voltage factors for users in a flexible topology distribution network area with a high proportion of new energy in any other appropriate manner (for example, by means of firmware).

[0109] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0110] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0111] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0112] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0113] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0114] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0115] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0116] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

[0117] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for determining low voltage factors of users in a flexible topology distribution network with a high proportion of new energy, characterized in that: include: Determine the voltage information of each user terminal at different power supply radii within the preset power supply radius of the distribution network station area, and determine the user power consumption model; Obtain real-time power information of the T-nodes corresponding to each user end in the distribution network area; When the user power consumption model is the first preset user power consumption model, the low voltage factor of each user is directly determined as the power distribution gear factor; When the user power consumption model is the second preset user power consumption model, determine whether the T node is abnormal according to the real-time power information of the T node corresponding to the first preset low-voltage user in the user power consumption model; if so, determine that the low-voltage factor of the first preset low-voltage user in the user power consumption model is the abnormal factor of the T node; If not, determining that the low-voltage factor of the first preset low-voltage user in the user power consumption model is a factor of the cross-sectional area of ​​the wire between the first preset low-voltage user and the corresponding T node; When the user power usage model is the third preset user power usage model, determine whether the T node is abnormal based on the real-time power information of the T node corresponding to the second preset low-voltage user in the user power usage model; if so, determine that the low-voltage factor of the second preset low-voltage user in the user power usage model is the T-node abnormal factor; if not, determine that the low-voltage factor of the second preset low-voltage user in the user power usage model is the power supply radius factor.

2. The method for determining low voltage factors of users in a flexible topology distribution network with a high proportion of new energy according to claim 1 is characterized in that: Also includes: Determine the real-time voltage information of each user within the preset power supply radius of the distribution network station area, and determine the power consumption time model of each user; According to the electricity consumption time model, the low voltage factor of the corresponding user is determined to be a time period factor.

3. The method for determining low voltage factors of users in a flexible topology distribution network with a high proportion of new energy according to claim 1 is characterized in that: Also includes: Determine the voltage information of each user at different temperatures within the preset power supply radius of the distribution network station area, and determine the power consumption temperature model of each user; According to the electricity consumption temperature model, it is determined that the low voltage factor corresponding to the user is a seasonal factor.

4. The method for determining low voltage factors of users in a flexible topology distribution network with a high proportion of new energy according to claim 1 is characterized in that: Determine the voltage information of each user terminal including: The voltage information of each user end is determined based on the output power of the transformer in the distribution network area, the length of the wire between each user and the T node, the wire resistivity, the wire cross-section, the wire inductance, the geometric average distance, the reactance parameters within the user, the user power factor, the user rated voltage, the relative magnetic permeability of the wire and the AC frequency of the distribution network area.

5. The method for determining low voltage factors of users in a flexible topology distribution network with a high proportion of new energy according to claim 4 is characterized in that: The voltage information of each user terminal is determined according to the output power of the transformer in the distribution network area, the length of the wire between each user and the T node, the wire resistivity, the wire cross section, the wire inductance, the geometric distance, the user's internal reactance parameters, the user's power factor, the user's rated voltage, the relative magnetic permeability of the wire and the AC frequency of the distribution network area. Specifically: △U=(P*ρl / s+Q2πfL(4.16lgD m / r+μ r )) / U N Wherein, P is the output power of the transformer in the distribution network area; l is the length of the wire between each user and the T node; ρ is the wire resistivity; s is the wire cross section; D m is the geometric mean distance; L is the user internal reactance parameter; Q is the user power factor; U N is the rated voltage of the user; μ r is the relative magnetic permeability of the conductor; f is the AC frequency of the distribution network area.

6. The method for determining low voltage factors of users in a flexible topology distribution network with a high proportion of new energy according to claim 1 is characterized in that: Also includes: The low voltage level of the distribution station area is determined according to the user's electricity consumption model.

7. The method for determining low voltage factors of users in a flexible topology distribution network with a high proportion of new energy according to claim 1 is characterized in that: Determining whether the T node is abnormal according to the real-time power information of the T node corresponding to the first preset low-voltage user in the user power consumption model includes: Determine voltage difference information based on power information at the previous moment and power information at the current moment; Determine the degree of electric energy deviation according to the electric energy difference information and the electric energy information at the current moment; Whether the T node is abnormal is determined according to the electric energy deviation and the preset voltage deviation threshold.

8. A device for determining low voltage factors of users in a flexible topology distribution network with a high proportion of new energy, characterized in that: The method for determining low-voltage factors of users in a flexible topology distribution network area with a high proportion of new energy as described in any one of claims 1 to 7 above, the device for determining low-voltage factors of users in a flexible topology distribution network area with a high proportion of new energy comprises: A determination module is used to determine the voltage information of each user terminal at different power supply radii within the preset power supply radius of the distribution network station area, and determine the user power consumption model; The acquisition module is used to obtain the real-time power information of the T nodes corresponding to each user end in the distribution network area; A first factor module, used for directly determining each user's low voltage factor as a power distribution gear factor when the user power consumption model is a first preset user power consumption model; The second factor module is used to determine whether the T node is abnormal according to the real-time power information of the T node corresponding to the first preset low-voltage user in the user power consumption model when the user power consumption model is the second preset user power consumption model; if so, determine that the low-voltage factor of the first preset low-voltage user in the user power consumption model is the abnormal factor of the T node; if not, determine that the low-voltage factor of the first preset low-voltage user in the user power consumption model is the factor of the cross-sectional area of ​​the wire between the first preset user and the corresponding T node; The third factor module is used to determine whether the T node is abnormal according to the real-time power information of the T node corresponding to the second preset low-voltage user in the user power usage model when the user power usage model is the third preset user power usage model; if so, determine that the low-voltage factor of the second preset low-voltage user in the user power usage model is the T-node abnormal factor; if not, determine that the low-voltage factor of the second preset low-voltage user in the user power usage model is the power supply radius factor.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for determining the low-voltage factor of users in the flexible topology distribution network area with a high proportion of new energy as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for determining low-voltage factors for users in a flexible topology distribution network area with a high proportion of new energy as described in any one of claims 1-7 when executed.

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