Method for improving power supply capacity of power distribution network by considering part of elements N-1 and related device

Abstract

The invention discloses a power distribution network power supply capability improvement method considering part of elements N-1 and a related device, and belongs to the technical field of power systems, and the method specifically comprises the steps: firstly considering that part of elements are strong enough and do not break down, and building a power distribution network security domain model considering part of elements N-1; the concept of the BSC energy improvement area is provided by integrating the annual fault hours of different elements, and the importance degree of the elements on the improvement of the power supply capacity is quantitatively reflected; and through a power distribution network power supply capability improvement algorithm considering part of elements N-1, the importance degrees of element faults are sorted, and a key fault set is obtained. According to the method, the annual fault hours of the component are integrated, the method is closer to the practical application, meanwhile, the concept of the BSC energy improvement area is provided, specific reference is provided for equipment upgrading and daily operation and maintenance of the power distribution network, and the method has good application prospects.

Description

Technical Field

[0001] The present invention belongs to the technical field of power systems, and in particular relates to a method for improving the power supply capacity of a distribution network taking into account a partial element N-1 and a related device. Background Art

[0002] The distribution network is an important part of the power system, which is directly related to the effective transmission of electric energy and the power supply of users. In the modern power system, it has become an urgent need to improve the power supply capacity of the distribution network and ensure the continuity and safety of power supply.

[0003] The N-1 safety criterion, also known as the single fault safety test rule or single fault safety criterion, is an important technical requirement in the design, operation and maintenance of power systems. As an important standard for safe operation of power systems, the N-1 safety criterion requires that the power system can maintain normal operation in the face of any single device failure, thereby ensuring the reliability and stability of power supply. The power supply capacity of traditional distribution networks usually takes into account the safety constraints of all components N-1, but does not consider the different failure rates of different components, that is, it is assumed that the failure probability of all components is the same. Such an assumption limits the power supply efficiency of the distribution network, and at the same time cannot fully reflect the differences between components, which is inconsistent with the actual situation.

[0004] In addition, existing solutions often involve large-scale infrastructure upgrades or expensive deployment of backup equipment, which may be unrealistic for many power system operators. Therefore, developing cost-effective, easy-to-implement methods that can improve power supply capacity without sacrificing system safety and reliability has become a key direction for current distribution network research and development. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a method and related devices for improving the power supply capacity of a distribution network taking into account some components N-1 in view of the deficiencies in the above-mentioned prior art, accurately provide a key fault set of the distribution network, and efficiently improve the power supply capacity of the distribution network under the premise of safety and reliability, so as to solve the technical problem that the current urban distribution network generally adopts the N-1 safety criterion, which limits the load-carrying capacity of the distribution network.

[0006] The present invention adopts the following technical solutions:

[0007] The method for improving the power supply capacity of the distribution network considering the partial element N-1 includes the following steps:

[0008] Based on the N-1 safety constraint criterion of the distribution system, a distribution network security domain model considering the partial components N-1 is established;

[0009] Based on the distribution network security domain model considering some components N-1, the energy improvement area of ​​the boundary power supply capacity is determined by combining the annual failure hours of different components;

[0010] The importance of component failures is ranked based on the obtained boundary power supply capacity energy improvement area to obtain a critical fault set, and power supply measures are taken based on the critical fault set.

[0011] Preferably, the distribution network security domain model considering the partial element N-1 is specifically:

[0012]

[0013] Where W represents the safe domain working point; S F,i represents the load power of feeder i; S F,ij F represents the load transferred to feeder j after a fault occurs on feeder i; loss,i Indicates the power loss of feeder i during normal operation; F loss,ij represents the loss on feeder j connected to feeder i in case of a fault; C F,i represents the maximum permissible capacity of feeder i; C T,m Indicates the rated capacity of the main transformer m; ΔU i is the deviation value of the normal operating voltage of feeder i; U N represents the rated voltage of the busbar; b represents the minimum percentage of voltage drop allowed; ΔU ij It represents the voltage deviation of the connected feeder j after the feeder i fails, F i is the i-th feeder, T m is the mth main transformer, Ψ N-1 For a set of components that satisfy the N-1 safety constraint, c T,i is the rated capacity of feeder i.

[0014] Preferably, in the distribution network security domain model considering the partial element N-1, the set of elements in the distribution network and the classification of the set considering the partial element N-1 are specifically as follows:

[0015] Ψ={F1,F2,...,F i ,...F n ,T1,T2,...,T m ,...T k}

[0016]

[0017] Where, Ψ represents the set of feeders and main transformers in the system; F i represents the i-th feeder, T k represents the mth main transformer; n is the total number of feeders, k is the total number of main transformers; Ψ N-1 andN-0 They represent the set of components that satisfy N-1 safety constraints and normal constraints respectively.

[0018] Preferably, the boundary power supply capacity energy improvement area A Δi The calculation is as follows:

[0019] A Δi =A i -A -i

[0020] Among them, A i A represents the energy improvement area of ​​the marginal power supply capacity after N-1 faults occur in component group i, -i It represents the energy improvement area of ​​the boundary power supply capacity without considering the occurrence of N-1 faults in component group i.

[0021] Preferably, the boundary power supply capacity energy improvement area A after the component group i has N-1 faults i The calculation is as follows:

[0022]

[0023] Among them, B L , B M and B T They represent the minimum, median and maximum power that the system can supply during the period when N-1 faults occur in component group i, T i Represents the number of failure hours per year for component group i.

[0024] Preferably, the energy improvement area A of the boundary power supply capacity when N-1 faults occur in the component group i is not considered. -i The calculation is as follows:

[0025]

[0026] Among them, B L-i , B M-i and B T-i They represent the minimum, median and maximum power that the system can supply when component group i does not have N-1 faults, T i Represents the number of failure hours per year for component group i.

[0027] Preferably, by considering the method for improving the power supply capacity of the distribution network of the partial component N-1, the importance of the component failures is ranked specifically as follows;

[0028] First, the power supply capacity of the system under the condition of N-1 of all components is calculated; then the power supply capacity of a certain component is calculated without considering the N-1 case; then the boundary power supply capacity energy improvement area is calculated considering the differences in failure rates of different components; the key fault set is obtained based on the power supply capacity of the system under the condition of N-1, the power supply capacity of a certain component without considering the N-1 case, and the boundary power supply capacity energy improvement area.

[0029] In a second aspect, an embodiment of the present invention provides a system for improving power supply capacity of a distribution network considering a partial element N-1, including:

[0030] The construction module establishes a distribution network security domain model considering partial components N-1 based on the N-1 security constraint criteria of the distribution system;

[0031] The improvement module determines the energy improvement area of ​​the boundary power supply capacity based on the distribution network security domain model considering some components N-1 and the annual failure hours of different components;

[0032] The output module ranks the importance of component failures based on the obtained boundary power supply capacity energy improvement area, obtains the key fault set, and takes power supply measures based on the key fault set.

[0033] In a third aspect, a computer device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned method for improving the power supply capacity of a distribution network taking into account partial element N-1 when executing the computer program.

[0034] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, including a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for improving the power supply capacity of a distribution network considering some elements N-1.

[0035] Compared with the prior art, the present invention has at least the following beneficial effects:

[0036] The method for improving the power supply capacity of a distribution network considering some components N-1 first establishes a safety domain model considering some components N-1, and for the first time comprehensively considers the annual failure hours of components, proposes the concept of a boundary power supply capacity energy improvement area, and uses the area composed of the annual failure hours and the power supply capacity as a quantitative representation for evaluating the impact of components under different failure rates on the system power supply capacity, and uses a distribution network power supply capacity improvement algorithm based on the reverse backstepping method to quickly and accurately give a key fault set that affects the system power supply; the present invention can efficiently improve the power supply capacity of the distribution network, and provide a reference for equipment upgrades and daily operation and maintenance of the distribution network.

[0037] Furthermore, the present invention adds the network loss existing in actual operation to the feeder capacity constraint and the main transformer capacity, and also supplements the voltage constraint, so that the safety domain model is more in line with the actual operation situation. At the same time, the fault set Ψ is divided into two categories, namely, the Ψ that satisfies the N-1 constraint of some components N-1 and the normal operation constraint Ψ N-0 , which facilitates subsequent comparison of the improvement effect of different components on power supply capacity when no failure occurs.

[0038] Furthermore, the present invention comprehensively considers the impact of component failure on power supply capacity and the difference in failure rate, and introduces the concept of boundary power supply capacity energy improvement area to quantitatively measure the improvement effect of a certain component not having N-1 on the power supply capacity of the entire distribution network, which facilitates the subsequent determination of key fault sets.

[0039] Furthermore, the present invention first considers the power supply capacity when all components N-1 are present, and then comprehensively considers the impact of different faults on the power supply capacity and the differences in failure rates of different components to obtain the boundary power supply capacity energy improvement area, so as to determine the key fault set with the best power supply capacity improvement effect. If measures are taken to greatly reduce the failure rate of components included in the key fault set, or even to make it close to no N-1 failure, it is possible to break through the limitation on the load capacity of the distribution network when all components N-1 are considered, and significantly improve the power supply capacity and operating range of the system.

[0040] It can be understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here.

[0041] In summary, the present invention considers the method of improving the power supply capacity of the distribution network of the partial component N-1, establishes a safety domain model considering the partial component N-1, and for the first time comprehensively considers the impact of component failure on the power supply capacity and the annual failure hours of the component, and proposes the concept of the boundary power supply capacity energy improvement area as a quantitative indicator for evaluating the impact of components under different failure rates on the system power supply capacity, and gives the key fault set that affects the system power supply. The model adopted by the present invention is in line with reality, can effectively improve the power supply capacity of the distribution network, and provide a reference for the equipment upgrade and daily operation and maintenance of the distribution network.

[0042] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 A block diagram of a method for improving the power supply capacity of a distribution network considering some components N-1;

[0044] Figure 2 This is a schematic diagram of the energy enhancement area of ​​the boundary power supply capacity of the present invention;

[0045] Figure 3This is the distribution network structure diagram constructed based on the IEEE-RTBS-BUS4 example;

[0046] Figure 4 A schematic diagram of a computer device provided by an embodiment of the present invention;

[0047] Figure 5 The block diagram of a chip provided according to an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are 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 are within the scope of protection of the present invention.

[0049] In the description of the present invention, it should be understood that the terms “include” and “comprises” indicate the presence of described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0050] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, the singular forms "a", "an" and "the" are intended to include plural forms unless the context clearly indicates otherwise.

[0051] It should be further understood that the term "and / or" used in the present specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in the present invention generally indicates that the associated objects are in an "or" relationship.

[0052] It should be understood that, although the terms first, second, third, etc. may be used to describe preset ranges, etc. in the embodiments of the present invention, these preset ranges should not be limited to these terms. These terms are only used to distinguish preset ranges from each other. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0053] The word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

[0054] Various structural schematic diagrams of the embodiments disclosed in the present invention are shown in the accompanying drawings. These figures are not drawn to scale, and some details are magnified and some details may be omitted for the purpose of clear expression. The shapes of various regions and layers shown in the figures and the relative sizes and positional relationships therebetween are only exemplary, and may deviate in practice due to manufacturing tolerances or technical limitations, and those skilled in the art may additionally design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0055] The present invention provides a method for improving the power supply capacity of a distribution network considering some components N-1, calculates the power supply capacity when all components N-1 of the distribution system are considered; traverses and calculates the power supply capacity when a certain component is not considered N-1; calculates the BSC energy improvement area considering the difference in failure rates of different components; obtains a key fault set; and integrates the annual failure hours of components, which is closer to actual application. At the same time, the concept of BSC energy improvement area is proposed, which provides a specific reference for equipment upgrades and daily operation and maintenance of distribution networks, and has good application prospects.

[0056] See also Figure 1 The present invention provides a method for improving the power supply capacity of a distribution network considering a part of the components N-1, comprising the following steps:

[0057] S1. Based on the N-1 safety constraint criterion of the distribution system, considering that some components are strong enough not to fail, a distribution network safety domain model considering some components N-1 is established;

[0058] The set of components in the distribution network and the classification of the set considering part N-1 are expressed as shown in formula (1) and formula (2):

[0059] Ψ={F1,F2,...,F i ,...F n ,T1,T2,...,T m ,...T k}(1)

[0060]

[0061] Where, Ψ represents the set of feeders and main transformers in the system; F irepresents the i-th feeder, T k represents the mth main transformer; n is the total number of feeders, k is the total number of main transformers; Ψ N-1 and N-0 They represent the set of components that satisfy N-1 safety constraints and normal constraints respectively.

[0062] Furthermore, based on the above component set classification, a security domain model considering some components N-1 is established. The security domain model is shown in formula (3):

[0063]

[0064] Where W represents the safe domain working point; S F,i represents the load power of feeder i; S F,ij F represents the load transferred to feeder j after a fault occurs on feeder i; loss,i Indicates the power loss of feeder i during normal operation; F loss,ij represents the loss on feeder j connected to feeder i in case of a fault; C F,i represents the maximum permissible capacity of feeder i; C T,m Indicates the rated capacity of the main transformer m; ΔU i is the deviation value of the normal operating voltage of feeder i; U N represents the rated voltage of the busbar; b represents the minimum percentage of voltage drop allowed; ΔU ij It represents the voltage deviation of feeder j connected to feeder i after the feeder i fails.

[0065] The security domain model is the basis for security inspection and evaluation based on networks and systems, and aims to ensure that IT elements within a network or system can trust, relate to, or interact with each other under the same or similar security protection requirements. The constraints that need to be met by the security domain model and the common maximum power supply capacity model are the same. The difference is that the maximum power supply capacity is the maximum load point that meets the constraints, and the security domain is the collection of all working points that meet the constraints. It is a multi-dimensional, closed domain concept.

[0066] S2. Based on the distribution network security domain model considering some components N-1, the concept of boundary power supply capacity (BSC) energy improvement area is proposed based on the annual failure hours of different components, which quantitatively reflects the importance of components for improving power supply capacity;

[0067] See also Figure 2 , is a schematic diagram of the boundary power supply capacity energy improvement area. The gray part in the figure is the power supply capacity after the component group i has N-1 faults. The horizontal axis represents the boundary expression i, which represents the annual fault hours of the faulty component, and is a constant value. There are three mappings in the vertical axis direction, from small to large, namely B L , B M and BT , in MVA, represents the minimum, median, and maximum power that the system can supply during the fault of component group i. The area of ​​the gray part represents the total energy that can be supplied during the fault of component group i, in MVAh, so it is called the BSC energy area. Because the BSC energy area is determined by the BSC and the annual fault hours of the components, it can reflect the different fault conditions of different components, and thus reflect the difficulty of improving the power supply capacity.

[0068] The sum of the blue and gray parts is the power supply capacity of component group i without N-1. Similarly, there are three mappings on the vertical axis, from small to large, namely B L-i , B M-i and B T-i The blue area is the maximum energy that the system can provide when only the failure of some components N-1 is considered, and the energy increased compared with the original component group i when N-1 occurs, which is called the BSC increased energy area.

[0069] The calculation formula of the energy improvement area of ​​the boundary power supply capacity is shown in equations (4)-(6):

[0070]

[0071] A Δi =A i -A -i (6)

[0072] Among them, A i A represents the energy improvement area of ​​the marginal power supply capacity after N-1 faults occur in component group i, -i represents the energy improvement area of ​​the marginal power supply capacity without considering the occurrence of N-1 faults in component group i, B L , B M and B T They represent the minimum, median and maximum power that the system can supply during the N-1 fault period of component group i, B L-i , B M-i and B T-i They represent the minimum, median and maximum power that the system can supply when component group i does not have N-1 faults, T i Represents the number of failure hours per year for component group i. Δi Indicates the energy improvement area of ​​the boundary power supply capacity.

[0073] S3. Based on the concept of boundary power supply capacity energy improvement area, by considering the distribution network power supply capacity improvement method of some components N-1, the importance of component failures is ranked to obtain the critical fault set.

[0074] In yet another embodiment of the present invention, a system for improving the power supply capacity of a distribution network taking into account some components N-1 is provided. The system can be used to implement the above-mentioned method for improving the power supply capacity of a distribution network taking into account some components N-1. Specifically, the system for improving the power supply capacity of a distribution network taking into account some components N-1 includes a building module, an improving module and an output module.

[0075] Among them, the construction module, based on the N-1 safety constraint criteria of the distribution system, establishes a distribution network security domain model considering some components N-1;

[0076] The improvement module determines the energy improvement area of ​​the boundary power supply capacity based on the distribution network security domain model considering some components N-1 and the annual failure hours of different components;

[0077] The output module ranks the importance of component failures based on the boundary power supply capacity energy improvement area, obtains the key fault set, and takes power supply measures based on the key fault set.

[0078] In another embodiment of the present invention, a terminal device is provided, the terminal device includes a processor and a memory, the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc., which are the computing core and control core of the terminal, which are suitable for implementing one or more instructions, and are specifically suitable for loading and executing one or more instructions to implement the corresponding method flow or corresponding functions; the processor described in the embodiment of the present invention can be used for the operation of the method for improving the power supply capacity of the distribution network considering the partial element N-1, including:

[0079] Based on the N-1 safety constraint criterion of the distribution system, a distribution network safety domain model considering some components N-1 is established; based on the distribution network safety domain model considering some components N-1, the annual failure hours of different components are comprehensively considered to determine the energy improvement area of ​​the boundary power supply capacity, and based on the obtained energy improvement area of ​​the boundary power supply capacity, the importance of component failures is ranked to obtain the key fault set, and power supply measures are taken to ensure it.

[0080] In another embodiment of the present invention, the present invention further provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a terminal device for storing programs and data. It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and the extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory, or a non-volatile memory (Non-Volatile Memory), such as at least one disk memory.

[0081] One or more instructions stored in a computer-readable storage medium may be loaded and executed by a processor to implement the corresponding steps of the method for improving the power supply capacity of a distribution network considering some components N-1 in the above embodiment; one or more instructions in the computer-readable storage medium are loaded and executed by the processor as follows:

[0082] Based on the N-1 safety constraint criterion of the distribution system, a distribution network safety domain model considering some components N-1 is established; based on the distribution network safety domain model considering some components N-1, the annual failure hours of different components are comprehensively considered to determine the energy improvement area of ​​the boundary power supply capacity; based on the obtained energy improvement area of ​​the boundary power supply capacity, the importance of component failures is ranked, the key fault set is obtained, and power supply measures are taken to ensure it.

[0083] See also Figure 4 , the terminal device is a computer device. The computer device 60 of this embodiment includes: a processor 61, a memory 62, and a computer program 63 stored in the memory 62 and executable on the processor 61. When the computer program 63 is executed by the processor 61, the method for calculating the composition of fluid in the reservoir transformation wellbore in the embodiment is implemented. To avoid repetition, it is not described one by one here. Alternatively, when the computer program 63 is executed by the processor 61, the functions of each model / unit in the distribution network power supply capacity improvement system considering the partial element N-1 in the embodiment are implemented. To avoid repetition, it is not described one by one here.

[0084] The computer device 60 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The computer device 60 may include, but is not limited to, a processor 61 and a memory 62. Those skilled in the art will appreciate that Figure 4This is only an example of the computer device 60 and does not constitute a limitation of the computer device 60. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the computer device may also include input and output devices, network access devices, buses, etc.

[0085] The processor 61 may be a central processing unit (CPU), or other general-purpose processors, central processing units, graphics processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, data processing logic based on quantum computing, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0086] The memory 62 may be an internal storage unit of the computer device 60, such as a hard disk or memory of the computer device 60. The memory 62 may also be an external storage device of the computer device 60, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the computer device 60.

[0087] Furthermore, the memory 62 may include both an internal storage unit of the computer device 60 and an external storage device. The memory 62 is used to store computer programs and other programs and data required by the computer device. The memory 62 may also be used to temporarily store data that has been output or is to be output.

[0088] Any reference to memory, database or other media used in the embodiments provided in the present application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0089] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0090] See also Figure 5 , the terminal device is a chip, and the chip 600 of this embodiment includes a processor 622, which may be one or more, and a memory 632 for storing a computer program executable by the processor 622. The computer program stored in the memory 632 may include one or more modules, each corresponding to a set of instructions. In addition, the processor 622 may be configured to execute the computer program to execute the above-mentioned generalizable monocular absolute depth map estimation method.

[0091] In addition, the chip 600 may further include a power supply component 626 and a communication component 650, wherein the power supply component 626 may be configured to perform power management of the chip 600, and the communication component 650 may be configured to implement communication, for example, wired or wireless communication, of the chip 600. In addition, the chip 600 may further include an input / output interface 658. The chip 600 may operate based on an operating system stored in the memory 632.

[0092] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions 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 part of the embodiments of the present invention, rather than all of the embodiments. The components of the embodiments of the present invention described and shown in the drawings here can usually be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0093] Example

[0094] 1) Calculate the BSC index of all components of the distribution system under the condition of N-1;

[0095] 2) List the safety domain boundary expressions of some components N-1, and mark the fault component group represented by each boundary expression;

[0096] 3) Calculate the power supply capacity indicators assuming that component i is not faulty, including the maximum, average and minimum values ​​of the BSC;

[0097] 4) Count the annual failure time of components;

[0098] Obtain the annual failure time of each component, and, assuming that no two or more components fail at the same time, add up the annual failure time of each faulty component in the faulty component group.

[0099] 5) Calculate the BSC energy boost area;

[0100] According to the concept of BSC energy improvement area considering the annual failure difference of components proposed in the present invention, the BSC energy improvement area of ​​each component is calculated respectively.

[0101] 6) Sort the BSC improvement area of ​​each component group and determine the order of transformation of components.

[0102] See also Figure 3 The evaluation method of the present invention is illustrated by using a distribution network constructed based on the IEEE-RTBS-BUS4 example. The distribution network consists of three 35kV substations with a total capacity of 56MVA; a total of 7 feedback lines with a capacity of 9MVA each, SP i represents the substation, T j Indicates the main transformer.

[0103] Figure 3 The main parameters of the medium distribution network are shown in Table 1:

[0104] Table 1 Basic data of substation

[0105]

[0106] When all components of the example have N-1 safety boundary expressions, and then only some components have N-1 safety boundary expressions, the above two sets of expressions are shown in Table 2:

[0107] Table 2 Safety margin expressions based on all and some components N-1

[0108]

[0109]

[0110] Calculate the power supply capacity index of each component when it is not faulty, including the maximum, mean, and minimum values ​​of the BSC. After obtaining the annual failure time of each component, in the extreme case where two or more components fail at the same time, add up the annual failure time of each faulty component in the faulty component group. According to the concept of BSC energy improvement area considering the annual failure difference of components proposed in the present invention, calculate the BSC energy improvement area of ​​each component separately; finally, obtain the calculation results in Table 3.

[0111] Table 3 Calculation results of power supply capacity improvement area

[0112]

[0113] The conclusions can be drawn from Table 3:

[0114] When the components represented by B6 and B8 do not have N-1 failures, the BSC energy area of ​​the system will be greatly improved, both exceeding 100MVA, 101.93MVA and 118.5MVA respectively. When the components represented by B2 and B4 do not have N-1 failures, the power supply capacity of the system will be slightly improved, both not exceeding 34MVA.

[0115] Therefore, if measures are taken to greatly reduce the failure rate of components included in B8, or even to almost eliminate N-1 failures, the power supply capacity of the system will be greatly improved.

[0116] Among them, the average power supply capacity increased from 26.74 to 30.25 (MVA), an increase of 13.1%, as shown in Table 4:

[0117] Table 4 Effect of component B8 on improving system power supply capacity

[0118]

[0119] In Table 4, case 1 represents the BSC curve before the modification of component B8, and case 2 represents the situation after the modification of component B8.

[0120] In summary, the present invention provides a method and related device for improving the power supply capacity of a distribution network considering some components N-1, based on the N-1 safety constraint criteria of the distribution system, considering that some components do not fail, establishing a distribution network safety domain model considering some components N-1, and comprehensively considering the annual failure hours of different components to determine the boundary power supply capacity energy improvement area; based on the BSC energy improvement area, by considering the power supply capacity improvement method of the distribution network considering some components N-1, the importance of component failures is sorted to obtain a critical fault set, if measures are taken to greatly reduce the failure rate of components included in the critical fault set, even close to no N-1 failure, it is possible to break through the limitation of the load carrying capacity of the distribution network when considering all components N-1, and significantly improve the power supply capacity and operating range of the system. The assumptions and premises of the present invention can fully reflect the differences between components and are consistent with the actual power supply capacity.

[0121] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0122] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0123] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0124] In the embodiments provided by the present invention, it should be understood that the disclosed devices / terminals and methods can be implemented in other ways. For example, the device / terminal embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, 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 through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0125] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0126] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0127] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0128] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, 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 generate 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 flowchart and / or block diagram. 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.

[0129] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0130] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0131] The above contents are only for explaining the technical idea of ​​the present invention and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. A method for improving the power supply capacity of a distribution network considering a portion of components N-1, characterized in that: The following steps are involved: Based on the N-1 safety constraint criterion of the distribution system, a distribution network security domain model considering the partial components N-1 is established; Based on the distribution network security domain model considering some components N-1, the energy improvement area of ​​the boundary power supply capacity is determined by combining the annual failure hours of different components; The importance of component failures is ranked based on the obtained boundary power supply capacity energy improvement area to obtain a critical fault set, and power supply measures are taken based on the critical fault set.

2. The method for improving the power supply capacity of a distribution network considering some components N-1 according to claim 1, characterized in that: The distribution network security domain model considering some components N-1 is as follows: Where W represents the safe domain working point; S F,i represents the load power of feeder i; S F,ij F represents the load transferred to feeder j after a fault occurs on feeder i; loss,i Indicates the power loss of feeder i during normal operation; F loss,ij represents the loss on feeder j connected to feeder i in case of a fault; C F,i represents the maximum permissible capacity of feeder i; C T,m Indicates the rated capacity of the main transformer m; ΔU i is the deviation value of the normal operating voltage of feeder i; U N represents the rated voltage of the busbar; b represents the minimum percentage of voltage drop allowed; ΔU ij It represents the voltage deviation of the connected feeder j after the feeder i fails, F i is the i-th feeder, T m is the mth main transformer, Ψ N-1 For a set of components that satisfy the N-1 safety constraint, c T,i is the rated capacity of feeder i.

3. The method for improving the power supply capacity of the distribution network considering the partial component N-1 according to claim 2, characterized in that: In the distribution network security domain model considering part N-1, the set of components in the distribution network and the classification of the set considering part N-1 are specifically as follows: Ψ={F1,F2,...,F i ,...F n ,T1,T2,...,T m ,...T k } Where, Ψ represents the set of feeders and main transformers in the system; F i represents the i-th feeder, T k represents the mth main transformer; n is the total number of feeders, k is the total number of main transformers; Ψ N-1 and N-0 They represent the set of components that satisfy N-1 safety constraints and normal constraints respectively.

4. The method for improving the power supply capacity of a distribution network considering some components N-1 according to claim 1, characterized in that: Boundary power supply capacity Energy improvement area A Δi The calculation is as follows: A Δi =A i -A -i Among them, A i A represents the energy improvement area of ​​the marginal power supply capacity after N-1 faults occur in component group i, -i It represents the energy improvement area of ​​the boundary power supply capacity without considering the occurrence of N-1 faults in component group i.

5. The method for improving the power supply capacity of a distribution network considering some components N-1 according to claim 4, characterized in that: BSC energy area A after N-1 faults occur in component group i i The calculation is as follows: Among them, B L , B M and B T They represent the minimum, median and maximum power that the system can supply during the period when N-1 faults occur in component group i, T i Represents the number of failure hours per year for component group i.

6. The method for improving the power supply capacity of a distribution network considering some components N-1 according to claim 4, characterized in that: Ignoring the N-1 faults in component group i, the energy improvement area A of the boundary power supply capacity -i The calculation is as follows: Among them, B L-i , B M-i and B T-i They represent the minimum, median and maximum power that the system can supply when component group i does not have N-1 faults, T i Represents the number of failure hours per year for component group i.

7. The method for improving the power supply capacity of a distribution network considering partial components N-1 according to claim 1, characterized in that: By considering the method of improving the power supply capacity of the distribution network of some components N-1, the importance of component failures is ranked as follows: Calculate the power supply capacity considering all components N-1 of the system; Traverse and calculate the power supply capacity of a component without considering N-1; Calculate the energy improvement area of ​​the boundary power supply capacity considering the differences in failure rates of different components; The critical fault set is obtained according to the power supply capacity of all system components under N-1 conditions, the power supply capacity of a certain component without considering N-1 conditions, and the energy improvement area of ​​the boundary power supply capacity.

8. A distribution network power supply capacity improvement system considering partial element N-1, characterized in that: include: The construction module establishes a distribution network security domain model considering partial components N-1 based on the N-1 security constraint criteria of the distribution system; The improvement module determines the energy improvement area of ​​the boundary power supply capacity based on the distribution network security domain model considering some components N-1 and the annual failure hours of different components; The output module ranks the importance of component failures based on the obtained boundary power supply capacity energy improvement area, obtains the key fault set, and takes power supply measures based on the key fault set.

9. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions, which, when executed by a computing device, cause the computing device to perform the method of any one of claims 1 to 7.

10. A computing device, characterized in that include: One or more processors, a memory and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include steps for executing the method according to any one of claims 1 to 7.

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