Transformer heavy overload problem identification method based on expert knowledge drive

Abstract

The present invention relates to a transformer heavy overload problem identification system based on expert knowledge drive, comprising the following steps: step S1: obtaining basic parameter information and operation information of 110kV-35kV transformer and its lower-level line; step S2: calculating whether the transformer is heavily overloaded based on the acquired equipment information; step S3: if the transformer is heavily overloaded, the load condition of the lower-level feeder is judged based on the transformer; if the lower-level feeder is heavily overloaded, the load rate is changed to 50% one by one, and the transformer load condition is recalculated based on the modified lower-level feeder load rate; if the transformer load calculation result is heavily overloaded, it is determined that the transformer capacity is insufficient, otherwise the feeder is under heavy load or overload; step S4: judging according to the judgment result and preset boundary conditions, obtaining the optimal transformer heavy overload solution. The present invention can effectively identify the cause of heavy overload of distribution network transformer and provide a solution.

Description

Technical Field

[0001] The present invention relates to the field of transformer heavy overload problem analysis, and in particular to a transformer heavy overload problem identification method and system based on expert knowledge drive. Background Art

[0002] 110kV-35kV transformer heavy load and overload problems occur from time to time. There are many reasons for transformer heavy overload, and the corresponding problem handling methods are also different. Therefore, it is necessary to accurately analyze the transformer heavy overload problems caused by different reasons and analyze the deep-seated reasons for the heavy overload. At the same time, different governance measures need to be adopted to deal with the problems found. Summary of the invention

[0003] In view of this, the purpose of the present invention is to provide a method and system for identifying transformer overload problems based on expert knowledge, so as to effectively identify the causes of transformer overload in distribution network and provide solutions.

[0004] To achieve the above object, the present invention adopts the following technical solution:

[0005] A transformer heavy overload problem identification method based on expert knowledge driving includes the following steps:

[0006] Step S1: Obtain basic parameter information and operation information of 110kV-35kV transformer and its subordinate lines;

[0007] Step S2: Based on the acquired device information, calculate whether the transformer is heavily overloaded;

[0008] Step S3: If the transformer is heavily overloaded, the load condition of the lower feeder is judged based on the transformer; if the lower feeder is heavily overloaded, the load rate is changed to 50% one by one, and the transformer load condition is recalculated based on the modified lower feeder load rate; if the transformer load calculation result is heavily overloaded, it is determined that the transformer capacity is insufficient, otherwise the feeder is heavily loaded or overloaded;

[0009] Step S4: Make a judgment based on the judgment result and preset boundary conditions to obtain the optimal transformer heavy overload solution.

[0010] Furthermore, the 110kV-35kV transformer and its downstream lines include the following three situations:

[0011] (1) There is only a 35kV feeder at the lower level;

[0012] (2) There is only a 10kV feeder at the lower level;

[0013] (3) There are both 35kV and 10kV feeders at the lower level.

[0014] Furthermore, the transformer load rate is specifically:

[0015] Transformer active load factor = (0.95 * ∑1.732 * U * I) / Transformer capacity

[0016] Where U is the voltage, I is the feeder current value, and I = line load of each feeder * load rate.

[0017] Furthermore, the transformer overload solution is constructed according to the judgment result, specifically: based on the cause of the overload obtained in step S3, if the feeder line is overloaded, it is only necessary to solve the feeder line overload problem; if the transformer capacity is insufficient, the boundary conditions are judged.

[0018] Furthermore, the boundary conditions are specifically:

[0019] (1) Transformer capacity < equipment sequence value || transformer capacity < other transformer capacities in the same substation, where the equipment sequence refers to the rated capacity of a certain partition transformer;

[0020] (2) The substation has not reached the final scale. The judgment of whether the substation has reached the final scale is based on the data obtained from the ledger. When the current situation < the final scale, it is judged that the substation has not reached the final scale;

[0021] (3) Bay utilization rate>= 50% & other transformers in the same substation have the same capacity & transformer load rate>=30%, where bay utilization rate is the number of bays used at the same voltage level / the total number of bays of the corresponding voltage level in the substation where the transformer is located; transformer load rate>30% indicates that the transformer load rate is unbalanced;

[0022] (4) The long-term layout map has a planned layout of new substations nearby; extend the preset range from the boundary of the substation's power supply range to the outside, and look for a layout in the long-term layout map to see if there is a layout. If so, a new one can be built. If this is not possible for the time being, it will be assumed that a new one can be built.

[0023] A transformer overload problem identification system based on expert knowledge drive includes a processor, a memory and a computer program stored in the memory. When the processor executes the computer program, it specifically performs the steps in the transformer overload problem identification method as described above.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] The present invention can effectively identify the cause of heavy overload of the transformer in the distribution network and provide a solution, thereby improving the operating efficiency of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic diagram of the method of the present invention. DETAILED DESCRIPTION

[0027] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0028] refer to Figure 1 In this embodiment, a transformer heavy overload problem identification method based on expert knowledge driving is provided, comprising the following steps:

[0029] Step S1: Obtain basic parameter information and operation information of 110kV-35kV transformer and its subordinate lines;

[0030] Step S2: Based on the acquired device information, calculate whether the transformer is heavily overloaded;

[0031] Step S3: If the transformer is heavily overloaded, the load condition of the lower feeder is judged based on the transformer; if the lower feeder is heavily overloaded, the load rate is changed to 50% one by one, and the transformer load condition is recalculated based on the modified lower feeder load rate; if the transformer load calculation result is heavily overloaded, it is determined that the transformer capacity is insufficient, otherwise the feeder is heavily loaded or overloaded;

[0032] Step S4: Make a judgment based on the judgment result and preset boundary conditions to obtain the optimal transformer heavy overload solution.

[0033] In this embodiment, the 110kV-35kV transformer and its downstream lines include the following three situations:

[0034] (1) There is only a 35kV feeder at the lower level;

[0035] (2) There is only a 10kV feeder at the lower level;

[0036] (3) There are both 35kV and 10kV feeders at the lower level.

[0037] Preferably, the transformer load factor is specifically:

[0038] Transformer active load factor = (0.95 * ∑1.732 * U * I) / Transformer capacity

[0039] Where U is the voltage, I is the feeder current value, and I = line load of each feeder * load rate.

[0040] When the conclusion is that the transformer capacity is insufficient, if there is a heavy overload on the lower-level line, then the transformer load rate should use a temporary load rate in the subsequent data acquisition and calculation (that is, the load rate calculated after the heavy overload line load rate is changed to 50%). The load rate refers to the load rate in the formula [I = Line load of each feeder * load rate]. The load rate is replaced with 50% during the calculation process of the heavily overloaded feeder. The reason is that we believe that the low-voltage problem should be solved first, and the problems that still exist after the solution are the parts that should be solved on the high-voltage side. To obtain the line load rate, first get the time point when the transformer is heavily overloaded, enter hbase to find the corresponding time point, find the corresponding line current, and then divide it by the line current carrying capacity, which is the load rate of this line.

[0041] Preferably, in this embodiment, a transformer severe overload solution is constructed according to the judgment result, specifically: based on the cause of severe overload obtained in step S3, if the feeder line is severely overloaded, it is only necessary to solve the feeder line severe overload problem; if the transformer capacity is insufficient, the boundary conditions are judged.

[0042] According to the situation of the lower-level feeder, the cause of the heavy overload is determined based on the calculation result obtained in step S2. If the transformer is seriously overloaded, it is determined that the transformer capacity is insufficient, otherwise the feeder is under heavy load or overload. For the situation (3) of the 110kV-35kV transformer and its lower-level line, the judgment is made until the specific feeder is located.

[0043] In this embodiment, the boundary conditions are specifically:

[0044] (1) Transformer capacity < equipment sequence value || transformer capacity < other transformer capacities in the same substation, where the equipment sequence refers to the rated capacity of a certain partition transformer;

[0045] (2) The substation has not reached the final scale. The judgment of whether the substation has reached the final scale is based on the data obtained from the ledger. When the current situation < the final scale, it is judged that the substation has not reached the final scale;

[0046] (3) Bay utilization rate>= 50% & other transformers in the same substation have the same capacity & transformer load rate>=30%, where bay utilization rate is the number of bays used at the same voltage level / the total number of bays corresponding to the substation where the transformer is located; transformer load rate>30% indicates that the transformer load rate is unbalanced;

[0047] (4) The long-term layout map has a planned layout of new substations nearby; extend the preset range from the boundary of the substation's power supply range to the outside, and look for a layout in the long-term layout map to see if there is a layout. If so, a new one can be built. If this is not possible for the time being, it will be assumed that a new one can be built.

[0048] Preferably, solutions to transformer overload are given for the above four points, such as transformer capacity increase and reconstruction, substation expansion, transformer load balancing, new substation construction, and solutions to feeder overload.

[0049] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0050] 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.

[0051] 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 comprising 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.

[0052] 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.

[0053] The above is only a preferred embodiment of the present invention, and does not limit the present invention in other forms. Any technician familiar with the profession may use the above disclosed technical content to change or modify it into an equivalent embodiment with equivalent changes. However, any simple modification, equivalent change and modification made to the above embodiment according to the technical essence of the present invention without departing from the technical solution of the present invention still belongs to the protection scope of the technical solution of the present invention.

Claims

1. A transformer heavy overload problem identification method based on expert knowledge, characterized in that: The following steps are involved: Step S1: Obtain basic parameter information and operation information of 110kV-35kV transformer and its subordinate lines; Step S2: Calculate whether the transformer is heavily overloaded based on the acquired equipment information; Step S3: If the transformer is heavily overloaded, the load condition of the lower feeder is judged based on the transformer; if the lower feeder is heavily overloaded, the load rate is changed to 50% one by one, and the transformer load condition is recalculated based on the modified lower feeder load rate; if the transformer load calculation result is heavily overloaded, it is determined that the transformer capacity is insufficient, otherwise the feeder is heavily loaded or overloaded; Step S4: Make a judgment based on the judgment result and the preset boundary conditions to obtain the optimal transformer heavy overload solution; The transformer overload solution is constructed according to the judgment result, specifically: based on the overload cause obtained in step S3, if the feeder line is overloaded, it is only necessary to solve the feeder line overload problem; if the transformer capacity is insufficient, the boundary conditions are judged; The boundary conditions are specifically: (1) Transformer capacity < equipment sequence value or transformer capacity < other transformer capacity in the same substation, where the equipment sequence refers to the rated capacity of a certain zone transformer; (2) The substation has not reached the final scale. The judgment of whether the substation has reached the final scale is based on the data obtained from the ledger. When the current situation < the final scale, it is judged that the substation has not reached the final scale; (3) The interval utilization rate is ≥50% and the capacity of other transformers in the same substation is the same and the transformer load rate is ≥30%, where the interval utilization rate is: If the transformer load factor > 30%, it means that the transformer load factor is unbalanced; The long-term layout map has the planned layout of new substations nearby; within the preset range extending outward from the boundary of the power supply range of the substation, check on the long-term layout map to see if there are any substations, and if so, new ones can be built.

2. The transformer heavy overload problem identification method based on expert knowledge drive according to claim 1 is characterized in that: The 110kV-35kV transformer and its downstream lines include the following three situations: (1) There is only a 35kV feeder at the lower level; (2) There is only a 10kV feeder at the lower level; (3) There are both 35kV and 10kV feeders at the lower level.

3. The transformer heavy overload problem identification method based on expert knowledge drive according to claim 1 is characterized in that: The transformer load rate is specifically: Wherein, U is the voltage, I is the feeder current value, and I = line load of each feeder × load rate.

4. A transformer overload problem identification system based on expert knowledge, characterized in that: The method comprises a processor, a memory and a computer program stored in the memory. When the processor executes the computer program, the method specifically executes the steps in the transformer heavy overload problem identification method according to any one of claims 1 to 3.

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