A method and system for auxiliary analysis and effectiveness quantification of loss reduction based on theoretical line loss
Through line loss calculation and loss analysis based on network topology model, combined with the forward-back generation trend algorithm, the problem of failure to track loss reduction information in the power grid system is solved, and the refined loss reduction management and energy efficiency of power grid equipment are achieved.
Patent Information
- Application Number
- CN202110923291.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-08-12
- Publication Date
- 2025-01-14
- Estimated Expiration
- 2041-08-12
AI Technical Summary
The existing power grid system cannot provide loss reduction information and subsequent loss reduction results tracking, resulting in the loss reduction management of power grid equipment not being refined enough.
The line loss calculation module based on the network topology model is adopted to identify component types through deep search and breadth search, and the line loss is calculated in combination with the pre-pushback generation trend algorithm to perform loss analysis, and the loss reduction decision module is used to optimize the line loss rate and loss to achieve Quantitative analysis and tracking of results.
It realizes refined loss reduction management for high-loss equipment in the power grid, timely discovers high-loss problems, assists loss reduction decisions, and tracks loss reduction results, improving the operating efficiency and energy utilization rate of power grid equipment.
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Figure CN113627794B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of power grid loss reduction, and in particular to a loss reduction auxiliary analysis and effectiveness quantification method and system based on theoretical line loss. Background Art
[0002] In recent years, with the continuous advancement of power equipment technology in the field of artificial intelligence, the power grid has become more and more equipped with various means of monitoring and controlling equipment operation. Relying on the Internet of Things, big data analysis and new intelligent technologies, how to efficiently carry out technical loss reduction work on power grid equipment is the key task of technical loss reduction work at this stage; however, the existing integrated power system only provides a line loss calculation result for the same period, and cannot provide corresponding loss reduction information and subsequent loss reduction results tracking. Summary of the invention
[0003] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.
[0004] In view of the above existing problems, the present invention is proposed.
[0005] Therefore, the present invention provides a loss reduction auxiliary analysis and effectiveness quantification method based on theoretical line loss, which can solve the problem that the prior art cannot provide corresponding loss reduction information and subsequent loss reduction effectiveness tracking.
[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: including, based on the network topology model, calculating the line loss of the power grid through a line loss calculation module; according to the line loss calculation results, and through the loss reduction analysis module, performing loss analysis on the power grid; based on the loss analysis results, and using the loss reduction decision module to quantitatively analyze the loss reduction results; and then tracking the loss reduction results through the results tracking module.
[0007] As a preferred solution of the loss reduction auxiliary analysis and effectiveness quantification method based on theoretical line loss described in the present invention, the network topology model matches the connection relationship between topologies by obtaining the connection field keywords in the source data table, and identifies the component type through deep search and breadth search rules to perform topological links.
[0008] As a preferred solution of the loss reduction auxiliary analysis and effectiveness quantification method based on theoretical line loss described in the present invention, wherein: the line loss of the power grid includes the line loss of the main network part and the line loss of the distribution network part; the line loss calculation module calculates the line loss of the main network part by dividing the components; the line loss calculation module calculates the line loss of the distribution network part by using the forward-backward power flow algorithm.
[0009] As a preferred scheme of the loss reduction auxiliary analysis and effectiveness quantification method based on theoretical line loss described in the present invention, wherein: the line loss of the main grid includes line loss, parallel capacitor loss, transformer power loss, series capacitor loss and series reactor loss; wherein the transformer power loss includes load loss and no-load loss.
[0010] As a preferred solution of the loss reduction auxiliary analysis and effectiveness quantification method based on theoretical line loss described in the present invention, the line loss of the distribution network includes:
[0011]
[0012] Among them, ΔA PDN , ΔA0 is the no-load loss, I is is the effective value of the current in the branch from the i-th node to the s-th node, R is is the resistance of the branch from the ith node to the sth node, and t is the running time.
[0013] As a preferred solution of the loss reduction auxiliary analysis and effectiveness quantification method based on theoretical line loss described in the present invention, wherein: the loss analysis includes, according to the line loss calculation results, and through the loss reduction analysis module, respectively performing the loss analysis on the main transformer, transmission line, distribution line, and distribution transformer; wherein the main transformer performs the loss analysis from the perspective of main transformer model, non-economic operation, reactive power configuration, load distribution, and peak-valley inversion; the transmission line performs the loss analysis from the perspective of line model, line length, non-economic operation, power factor, and compliance distribution coefficient; the distribution line performs the loss analysis from the perspective of reactive power configuration, non-economic operation, conductor cross-sectional area, power supply radius, and load distribution; the distribution transformer performs the loss analysis from the perspective of distribution transformer model, non-economic operation, power factor, and three-phase imbalance.
[0014] As a preferred solution of the loss reduction auxiliary analysis and effectiveness quantification method based on theoretical line loss described in the present invention, the loss reduction decision module includes optimizing the line loss rate and loss through the loss reduction decision module based on the loss analysis result, and then calculating the line loss rate before and after optimization, the loss before and after optimization, the power saving and energy-saving benefits.
[0015] As a preferred solution of the loss reduction auxiliary analysis and effectiveness quantification method based on theoretical line loss described in the present invention, tracking the loss reduction effectiveness includes visualizing the line loss rate, loss, power saving, and energy-saving benefits before and after the loss reduction.
[0016] As a preferred solution of the loss reduction auxiliary analysis and effectiveness quantification system based on theoretical line loss described in the present invention, it includes: a line loss calculation module, which is based on a network topology model and is used to calculate the line loss of the power grid; a loss reduction analysis module, which is connected to the line loss calculation module and is used to perform loss analysis on the power grid based on the line loss calculation result; a loss reduction decision module, which is connected to the loss reduction analysis module and is used to perform quantitative analysis on the loss reduction effectiveness based on the loss analysis result; and an effectiveness tracking module, which is connected to the effectiveness tracking module and is used to track the loss reduction effectiveness.
[0017] Beneficial effects of the present invention: The present invention targets the existing high-loss equipment in the power grid, and proposes corresponding loss reduction suggestions for high-loss main transformers, lines, distribution transformers, and substations based on the results of quantitative analysis of their effectiveness, thereby realizing refined loss reduction management. At the same time, it can promptly discover high-loss problems, assist in loss reduction decisions, and track loss reduction effectiveness. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:
[0019] Figure 1 A schematic diagram of main transformer loss analysis results of the loss reduction auxiliary analysis and effectiveness quantification method based on theoretical line loss according to the first embodiment of the present invention;
[0020] Figure 2 A schematic diagram of the results of the power transmission line loss analysis of the loss reduction auxiliary analysis and effectiveness quantification method based on theoretical line loss according to the first embodiment of the present invention;
[0021] Figure 3 A schematic diagram of the distribution line loss analysis results of the loss reduction auxiliary analysis and effectiveness quantification method based on theoretical line loss according to the first embodiment of the present invention;
[0022] Figure 4 A schematic diagram of the loss analysis results of a distribution transformer according to the loss reduction auxiliary analysis and effectiveness quantification method based on theoretical line loss described in the first embodiment of the present invention;
[0023] Figure 5 A schematic diagram of the main transformer loss reduction decision analysis result of the loss reduction auxiliary analysis and effectiveness quantification method based on theoretical line loss according to the first embodiment of the present invention;
[0024] Figure 6 A schematic diagram of a loss reduction decision analysis result of a power transmission line according to the loss reduction auxiliary analysis and effectiveness quantification method based on theoretical line loss described in the first embodiment of the present invention;
[0025] Figure 7 A schematic diagram of a loss reduction decision analysis result of a distribution line according to the loss reduction auxiliary analysis and effectiveness quantification method based on theoretical line loss described in the first embodiment of the present invention;
[0026] Figure 8 A schematic diagram of a loss reduction decision analysis result of a distribution transformer according to the loss reduction auxiliary analysis and effectiveness quantification method based on theoretical line loss described in the first embodiment of the present invention;
[0027] Fig. 9 It is a schematic diagram of the effectiveness tracking results of the loss reduction auxiliary analysis and effectiveness quantification method based on theoretical line loss described in the first embodiment of the present invention.
[0028] Fig.10 It is a schematic diagram of the module structure of the loss reduction auxiliary analysis and effectiveness quantification system based on theoretical line loss described in the third embodiment of the present invention.
[0029] Fig.11 This is a schematic diagram of the network topology structure of the loss reduction auxiliary analysis and effectiveness quantification system based on theoretical line loss described in the third embodiment of the present invention. DETAILED DESCRIPTION
[0030] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.
[0031] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.
[0032] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.
[0033] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.
[0034] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.
[0035] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0036] Example 1
[0037] Reference Figures 1 to 9 , which is the first embodiment of the present invention, provides a loss reduction auxiliary analysis and effectiveness quantification method based on theoretical line loss, including:
[0038] S1: Based on the network topology model, the line loss of the power grid is calculated by the line loss calculation module 100.
[0039] The network topology model uses the connection field keywords in the source data table obtained through the interface to match the connection relationship between topologies, and identifies component types through deep search and breadth search rules to perform topological links.
[0040] The line loss of the power grid includes the line loss of the main grid and the line loss of the distribution grid; the line loss calculation module 100 calculates the line loss of the main grid by dividing the components. The line loss of the main grid includes line loss, parallel capacitor loss, transformer power loss, series capacitor loss and series reactor loss; among them, transformer power loss includes load loss and no-load loss; the line loss calculation module 100 uses the forward-backward power flow algorithm to calculate the line loss of the distribution grid.
[0041] Specifically, (1) the line loss of the main network
[0042] ①Calculate line loss:
[0043]
[0044] Among them, ΔA is the line loss, that is, the power loss of the resistor; k is the shape factor; I av is the average current of the wire; R is the wire resistance; t is the running time;
[0045] ②Calculate transformer power loss:
[0046] Load loss ΔA R :
[0047]
[0048] No-load loss ΔA0:
[0049]
[0050] Among them, I rms is the load side RMS current; I N is the rated current on the load side; P k is the rated load loss of the transformer; U tap Transformer tap voltage
[0051] ③Calculate the loss of parallel capacitors:
[0052] ΔA PC =Q C tanδ·t
[0053] Among them, ΔA PC is the parallel capacitor loss; Q C is the capacity of the capacitor put into operation, kvar; tanδ is the tangent value of the capacitor dielectric loss angle, and t is the operating time.
[0054] ④Calculate the loss of series capacitors:
[0055]
[0056] Among them, ΔA SC is the dielectric loss of the series capacitor; I rms is the RMS current through the series capacitors; ω is the angular frequency, and C is the capacitance of the series capacitor bank for each phase.
[0057] ⑤Calculate the series reactor loss,
[0058]
[0059] Among them, ΔA SR is the series reactor loss, P k is the rated loss of one-phase reactor; I rmsis the RMS current through the series reactor.
[0060] (2) Line loss in the distribution network
[0061]
[0062] Among them, ΔA PDN is the dielectric loss of the distribution network, ΔA0 is the no-load loss, I is is the effective value of the current in the branch from the i-th node to the s-th node, R is is the resistance of the branch from the ith node to the sth node, and t is the running time.
[0063] S2: According to the line loss calculation result, the loss analysis module 200 performs a loss analysis on the power grid.
[0064] According to the line loss calculation results, the loss analysis module 200 is used to perform loss analysis on the power grid (main transformer, transmission line, distribution line, distribution transformer). Specifically, the steps of performing loss analysis are as follows:
[0065] (1) The loss reduction analysis module 200 compares the actual value of the data in the loss analysis function with the critical value specified in the DL / T 686-2018 Guidelines for Calculating Power Losses in Power Grids and the internally mentioned guidelines;
[0066] If the actual value is inconsistent with the critical value, the line loss rate and loss need to be optimized.
[0067] (2) Determine whether the actual value is the cause of the high loss.
[0068] Reference Figures 1 to 4 , the loss reduction analysis module 200 is used to perform loss analysis on the main transformer, transmission line, distribution line, and distribution transformer respectively; among them, the main transformer is analyzed from the perspective of main transformer model, non-economic operation, reactive configuration, load distribution, and peak-valley inversion; the transmission line is analyzed from five dimensions, namely, line model, line length, non-economic operation, power factor, and compliance distribution coefficient; the distribution line is analyzed from five dimensions, namely, reactive configuration, non-economic operation, conductor cross-sectional area, power supply radius, and load distribution; the distribution transformer is analyzed from four dimensions, namely, distribution transformer model, non-economic operation, power factor, and three-phase imbalance.
[0069] Preferably, the present embodiment combines the operating parameters of the main transformer, transmission line, distribution line, and distribution transformer with the inventory data and the requirements in the guidelines, and can quickly discover parameters that do not meet the requirements and promptly prompt the user to perform on-site verification and source data maintenance.
[0070] S3: Based on the loss analysis results, the loss reduction effectiveness is quantitatively analyzed using the loss reduction decision module 300; and then the loss reduction effectiveness is tracked through the effectiveness tracking module 400.
[0071] (1) Based on the loss analysis results, the line loss rate and loss are optimized using the loss reduction decision module 300;
[0072] (2) The loss reduction decision module 300 is used to calculate the line loss rate before and after optimization, the loss before and after optimization, the power saving and the energy saving benefit.
[0073] ① Use the forward-backward power flow algorithm to calculate the line loss rate before and after optimization;
[0074] ②Power loss before and after optimization = power supply * line loss rate;
[0075] ③ Power saving = power loss before optimization - power loss after optimization;
[0076] ④ Energy saving benefit = electricity saved * local electricity price.
[0077] The optimization results and quantitative analysis results of the loss reduction decision module 300 for the main transformer, transmission line, distribution line, and distribution transformer are as follows: Figures 5 to 8 As shown in the figure, the loss reduction decision details correspond to the loss reduction effects and quantitative analysis results before and after optimization.
[0078] Furthermore, the loss reduction effect is tracked through the effect tracking module 400, that is, the line loss rate, loss, power saving, and energy saving benefits before and after the loss reduction are visualized so as to check the loss reduction effect, such as Fig. 9 shown.
[0079] Example 2
[0080] In order to verify and illustrate the technical effects used in this method, this embodiment selects an integrated power and line loss management system and uses this method for comparative testing, and compares the test results by means of scientific demonstration to verify the real effect of this method.
[0081] The integrated power and line loss management system only calculates the line loss rate by dividing (power supply - power sales) by power supply to get an inaccurate result. It does not calculate the loss value of each equipment component in the whole process and lacks detailed information.
[0082] In order to verify that this method can obtain detailed equipment losses and refine loss reduction management compared with the integrated power and line loss management system, in this embodiment, the integrated power and line loss management system and this method are used to calculate the equipment losses of a feeder line Shuibei Y796 in a certain area.
[0083] (1) The loss data obtained by the integrated power and line loss management system are as follows:
[0084] Input power = 87132kW·h; Output power = 95kW·h; Power sales = 84673kW·h;
[0085] Line loss rate = (87132-95-84673) / 87132 = 2.713%
[0086] (2) The loss data obtained by this method are as follows:
[0087] By combining the distribution transformer operation data and line operation data of the entire line with the ledger data, and using the forward-backward power flow algorithm, it is concluded that the copper loss of the line is 358kW·h; iron loss is 422kW·h; line loss is 1505kW·h; power supply is 85622kW·h;
[0088] And the ledger data can be displayed: the line length of the feeder is 13.35km, the overhead line length = 12694m; the cable line length = 396m; the power supply radius = 4.8km; the maximum conductor cross-sectional area = 300mm 2 ; Maximum load rate = 5.54%; Line loss rate = (line loss + copper loss + iron loss) / power supply = 2.67%.
[0089] Combined with the above calculation data, it can be seen that this method can obtain detailed equipment losses and achieve refined loss reduction management.
[0090] Example 3
[0091] Reference Figures 10-11 , which is the third embodiment of the present invention. This embodiment is different from the first embodiment in that it provides a loss reduction auxiliary analysis and effectiveness quantification system based on theoretical line loss, including:
[0092] The line loss calculation module 100 is based on the network topology model and is used to calculate the line loss of the power grid; wherein the network topology model matches the connection relationship between topologies through the connection field keyword in the source data table obtained by the interface, and identifies the component type through the depth search and breadth search rules to perform topological linking; the line loss of the power grid includes the line loss of the main network part and the line loss of the distribution network part; the line loss of the main network part includes line loss, parallel capacitor loss, transformer power loss, series capacitor loss and series reactor loss; wherein the transformer power loss includes load loss and no-load loss.
[0093] The loss reduction analysis module 200 is connected to the line loss calculation module 100, and is used to perform loss analysis on the power grid according to the line loss calculation result; the loss reduction analysis module 200 is used to perform loss analysis on the main transformer, transmission line, distribution line, and distribution transformer respectively; wherein, the main transformer is subjected to loss analysis from the perspectives of main transformer model, non-economic operation, reactive configuration, load distribution, and degree of peak-valley inversion; the transmission line is subjected to loss analysis from five dimensions, namely, line model, line length, non-economic operation, power factor, and compliance distribution coefficient; the distribution line is subjected to loss analysis from five dimensions, namely, reactive configuration, non-economic operation, conductor cross-sectional area, power supply radius, and load distribution; the distribution transformer is subjected to loss analysis from four dimensions, namely, distribution transformer model, non-economic operation, power factor, and three-phase imbalance, thereby providing a basis for loss reduction decision-making.
[0094] The loss reduction decision module 300 is connected to the loss reduction analysis module 200 and is used to quantitatively analyze the loss reduction effect based on the loss analysis result;
[0095] The effectiveness tracking module 400 is connected to the effectiveness tracking module 400 and is used to track the loss reduction effectiveness.
[0096] It should be appreciated that embodiments of the present invention may be implemented or enforced by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer-readable memory. The method may be implemented in a computer program using standard programming techniques - including a non-transitory computer-readable storage medium configured with a computer program, wherein the storage medium so configured causes the computer to operate in a specific and predefined manner - according to the methods and drawings described in the specific embodiments. Each program may be implemented in a high-level procedural or object-oriented programming language to communicate with a computer system. However, if desired, the program may be implemented in an assembly or machine language. In any case, the language may be a compiled or interpreted language. In addition, the program may be run on a programmed ASIC for this purpose.
[0097] Furthermore, the operations of the processes described herein may be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described herein (or variations and / or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) that is executed collectively on one or more processors, by hardware, or a combination thereof. The computer program includes a plurality of instructions that may be executed by one or more processors.
[0098] Further, the method can be implemented in any type of computing platform that is operably connected to a suitable computer, including but not limited to a personal computer, a minicomputer, a mainframe, a workstation, a network or distributed computing environment, a separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, etc. Aspects of the present invention can be implemented in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, an optical read and / or write storage medium, a RAM, a ROM, etc., so that it can be read by a programmable computer, and when the storage medium or device is read by the computer, it can be used to configure and operate the computer to perform the process described herein. In addition, the machine-readable code, or part thereof, can be transmitted via a wired or wireless network. When such media includes instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor, the invention described herein includes these and other different types of non-transitory computer-readable storage media. When programmed according to the methods and techniques described in the present invention, the present invention also includes the computer itself. The computer program can be applied to input data to perform the functions described herein, thereby converting the input data to generate output data stored in a non-volatile memory. The output information can also be applied to one or more output devices such as a display. In a preferred embodiment of the present invention, the converted data represents a physical and tangible object, including a specific visual depiction of the physical and tangible object produced on a display.
[0099] As used in this application, the terms "component", "module", "system", etc. are intended to refer to a computer-related entity, which can be hardware, firmware, a combination of hardware and software, software, or software in operation. For example, a component can be, but is not limited to: a process running on a processor, a processor, an object, an executable file, a thread in execution, a program, and / or a computer. As an example, an application running on a computing device and the computing device can both be components. One or more components can exist in a process and / or thread in execution, and a component can be located in a computer and / or distributed between two or more computers. In addition, these components can be executed from various computer-readable media having various data structures thereon. These components can communicate in a local and / or remote process manner, such as according to a signal having one or more data packets (e.g., data from a component that interacts with another component in a local system, a distributed system, and / or interacts with other systems in a signal manner through a network such as the Internet).
[0100] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.
Claims
1. A loss reduction auxiliary analysis and effectiveness quantification method based on theoretical line loss, characterized by: include, Based on the network topology model, the line loss of the power grid is calculated by a line loss calculation module (100); According to the line loss calculation result, a loss analysis is performed on the power grid through a loss reduction analysis module (200); Based on the loss analysis result, a loss reduction decision module (300) is used to quantitatively analyze the loss reduction effect; and then the loss reduction effect is tracked by an effect tracking module (400); The network topology model matches the connection relationship between topologies by obtaining the connection field keywords in the source data table, and identifies the component type through the depth search and breadth search rules to perform topological links; The line loss of the power grid includes the line loss of the main network and the line loss of the distribution network; The line loss calculation module (100) calculates the line loss of the main network part by dividing the components, the line loss of the main network part includes line loss, parallel capacitor loss, transformer power loss, series capacitor loss and series reactor loss; and calculates the line loss of the distribution network part by using a forward-backward power flow algorithm; Among them, transformer power loss includes load loss and no-load loss; The line loss is expressed as: Among them, ΔA represents the line loss, that is, the power loss of the resistor, k represents the shape factor, I av represents the average current of the wire, R represents the wire resistance, and t represents the running time; The transformer power loss includes: The load loss is expressed as: The no-load loss is expressed as: Where ΔA R represents load loss, ΔA0 represents no-load loss, I load Represents the load side RMS current, I N Indicates the rated current on the load side, P load Indicates the rated load loss of the transformer, U tap Indicates the tap voltage of the transformer; The shunt capacitor loss is expressed as: ΔA PC =Q C tanδ·t Among them, ΔA PC represents the parallel capacitor loss, Q C It represents the capacity of the capacitor in operation, tanδ represents the tangent value of the capacitor dielectric loss angle, and t represents the operating time; The series capacitor losses include: Among them, ΔA SC Represents the dielectric loss of the series capacitor, I cap represents the RMS current through the series capacitors, ω represents the angular frequency, and C represents the capacitance of the series capacitor bank per phase; The series reactor loss is expressed as: Where ΔA SR Represents the series reactor loss, P ind Indicates the rated loss of a phase reactor, I ind represents the RMS current through the series reactor; The line loss of the distribution network is expressed as: Among them, ΔA PDN represents the dielectric loss of the distribution network, ΔA0 represents the no-load loss, I is represents the effective value of the current in the branch from the i-th node to the s-th node, R is represents the resistance of the branch from the i-th node to the s-th node, and t represents the running time; The loss analysis includes, According to the line loss calculation result, a loss analysis is performed on the main transformer, the transmission line, the distribution line and the distribution transformer through a loss reduction analysis module (200); The loss reduction analysis module (200) compares the actual value of the data in the loss analysis function with the critical value specified in the DL / T 686-2018 power grid power loss calculation guideline and the internally mentioned guideline requirements; If the actual value is inconsistent with the critical value, the line loss rate and loss are optimized; The main transformer includes loss analysis based on main transformer model, non-economic operation, reactive power configuration, load distribution and peak-valley inversion; The transmission line includes loss analysis based on line model, line length, uneconomic operation, power factor and compliance distribution coefficient; The distribution line includes loss analysis from reactive configuration, uneconomic operation, conductor cross-sectional area, power supply radius and load distribution; The distribution transformer includes loss analysis based on distribution transformer model, uneconomic operation, power factor and three-phase imbalance; The loss reduction decision module (300) comprises: Based on the loss analysis result, the line loss rate and the loss are optimized by the loss reduction decision module (300), and the line loss rate before and after the optimization, the loss before and after the optimization, the power saving and the energy saving benefit are calculated; The forward-backward power flow algorithm is used to calculate the line loss rate before and after optimization; Power loss before and after optimization = power supply * line loss rate; Power saving = power loss before optimization - power loss after optimization; Energy saving benefit = electricity saved * local electricity price; Tracking the loss reduction results includes: Visualize the line loss rate, loss, power saving, and energy-saving benefits before and after loss reduction.
Citation Information
Patent Citations
Comprehensive loss reduction and energy-saving calculation analysis method and system for distribution line and transformer
CN110362894A