A digital model modeling method of a power generation and transformation device
By referencing KKS coding rules and dictionaries to automatically generate equipment KKS coding trees, and tailoring the power plant system equipment structure according to the actual situation of the plant, the problem of repetitive work in the process of building digital models of power generation and transformation equipment is solved, and the rapid construction and scalability of the model are realized. It is suitable for state trend prediction and fault diagnosis.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA YANGTZE POWER
- Filing Date
- 2022-12-19
- Publication Date
- 2026-04-17
AI Technical Summary
In existing technologies, digital models of power generation and transformation equipment need to be built manually, which results in poor reusability of models of the same type of equipment. This leads to a heavy construction process with a lot of repetitive work, making it difficult to quickly port the models to the same type of equipment.
A digital modeling method for power generation and transformation equipment is adopted. By referencing KKS coding rules and dictionaries, the equipment KKS coding tree is automatically generated. It is then trimmed according to the actual situation of the power plant, and equipment information and downstream connections are configured to form a tree diagram of power plant system equipment, supporting batch updates of attribute information.
It realizes the openness and scalability of digital models for power generation and transformation equipment, is suitable for state trend prediction and fault diagnosis, and can quickly build and modify digital models with unique characteristics.
Smart Images

Figure CN116150963B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power generation and transformation equipment modeling technology, and specifically to a method for digital modeling of power generation and transformation equipment. Background Technology
[0002] Large power generation companies manage numerous power plants, which include power generation and transformation equipment with varying characteristics. The digital model of each power generation and transformation piece of equipment needs to reflect its actual characteristics; therefore, each piece of equipment requires its own independently constructed digital model.
[0003] In existing technologies, digital models of power generation and transformation equipment need to be built manually. The model building process for each piece of equipment requires manual selection of algorithms, determination of model structure, and optimization of model parameters. When there are a large number of similar equipment, the reusability of existing models is poor, and it is not possible to quickly transfer the digital model to the model building work of similar equipment, resulting in a lot of repetitive work and making the construction of digital models for power generation and transformation equipment a heavy and tedious task. How to accurately and efficiently build digital models of power generation and transformation equipment is a problem. Summary of the Invention
[0004] To address the aforementioned technical problems, this invention provides a digital modeling method for power generation and transformation equipment. Its purpose is to tailor the established logical structure of the system-equipment-component architecture to the specific circumstances of the actual project, thereby achieving a physical structure model of the system-equipment-component architecture within a power plant and mapping the structure and attributes of the actual power plant into the digital world. This invention is open and scalable, allowing for flexible expansion based on the characteristics of different power generation and transformation equipment. It is applicable to digital model calculation and analysis fields such as power generation and transformation equipment status trend prediction and fault diagnosis.
[0005] The technical solution adopted in this invention is as follows:
[0006] A method for modeling a digital model of power generation and transformation equipment includes the following steps:
[0007] Step 1: Establish a power plant instantiation structure model:
[0008] Using KKS encoding rules and dictionaries, automatically generate the equipment KKS encoding tree based on the selected plant template;
[0009] Step 2: Associate the physical equipment, including the following steps:
[0010] S2.1: Select the device node, add and save the dictionary of device physical name, device physical code, and device effective time;
[0011] S2.2: Import the downloaded plant site template and import the actual equipment information according to the plant site template;
[0012] S2.3: Automatically load the physical device codes from the ePMS system.
[0013] Step 3: Configure device information, including the following steps:
[0014] S3.1: Select a device node, query the device type corresponding to the device node, select a device type, load all models under the device type, select a model, and attach the device category information under the model to the selected device;
[0015] S3.2: Select the downstream connection device button to bring up the complete power plant equipment structure tree, select the required parent node device, and configure it;
[0016] S3.3: Enter the "location of the equipment", "name of the cabinet where the equipment or component is located", and "installation location of the equipment or component in the cabinet" and then save.
[0017] Step 4: Configure the tree diagram, including the following steps:
[0018] S4.1: From the power plant equipment tree structure, select the required equipment nodes and add child node equipment level by level until all levels of child nodes are selected to generate a power plant system equipment tree diagram;
[0019] S4.2: Export the completed power plant system equipment tree diagram.
[0020] Step 5: Based on the notifications regarding new standards and standard changes, determine whether to update the instantiated data;
[0021] Step 6: Import and export power plant system equipment coding table:
[0022] Import: Supports importing KKS code tables created manually offline;
[0023] Export: Export and generate the KKS code table for power plant system equipment.
[0024] In step 1, the instantiation of the power plant structural model includes:
[0025] Select and configure power plants: Select an existing power plant or add a new power plant;
[0026] Selecting a Plant Template: Before selecting a plant template, the power plant system will initialize and load the relevant templates of the hierarchical class standard. Select the desired plant template.
[0027] Automatic KKS code generation: Based on the selected plant template, the power plant system automatically generates KKS codes by referencing KKS coding rules and dictionaries, forming a KKS code tree for all equipment in the plant;
[0028] Copy Object: Supports the copy object function. Click Edit, then enter the prefix, suffix, and copy number, and click OK. This will copy the selected device's KKS encoding tree node and its descendant nodes to the specified number. KKS codes will be automatically generated during the operation.
[0029] Editing: Supports modifying the name of the device's KKS encoding tree node;
[0030] Deletion: When deleting, prompt the customer "Are you sure you want to delete this node?" If the customer agrees to delete, delete the node and its corresponding descendant nodes;
[0031] Re-import top-level system: Select a top-level system and click Re-import Top-Level System to select a new system template. KKS code will be automatically generated during the operation.
[0032] Batch update attribute information: Supports batch import function, which can directly import files that have been edited offline, such as equipment physical information, equipment classification information, etc., which can be updated in batches by import.
[0033] In step 2, the physical equipment includes generators and transformers; the output attributes include:
[0034] Generator output attributes: generator rated capacity / voltage / current, reactance parameters such as direct-axis subtransient reactance per unit value, excitation parameters, etc.;
[0035] Transformer lead-out attributes: per-unit values of positive / zero sequence reactance of the main transformer, reference current / reference voltage / reference capacity of the high / low voltage side of the main transformer, etc.
[0036] A method for instantiating and defining a digital model of power generation and transformation equipment, characterized in that:
[0037] First, the equipment modeling and KKS coding auxiliary tool references KKS coding rules and dictionaries, and automatically generates the equipment KKS coding tree based on the selected system-equipment structure template;
[0038] Then, the power plant system equipment structure is appropriately increased or decreased based on the actual conditions of the plant.
[0039] Secondly, the equipment is classified as a physical asset, and the corresponding components are attached.
[0040] Finally, by configuring downstream connection equipment, a tree diagram of the power plant system equipment is formed.
[0041] The present invention provides a digital modeling method for power generation and transformation equipment, the technical effects of which are as follows:
[0042] 1) The method of the present invention is open and scalable, and can be flexibly extended according to different characteristics of power generation and transformation equipment. It is applicable to the field of digital model calculation and analysis for power generation and transformation equipment status trend prediction, fault diagnosis and other fields.
[0043] 2) This method has good scalability. Taking generators and transformers as examples, for newly added generator or transformer equipment, the digital model of the same model of equipment from the same manufacturer can be modified to generate a digital model that includes the unique characteristics of generators and transformers. Attached Figure Description
[0044] Figure 1 This is a schematic diagram of the modeling process of the present invention.
[0045] Figure 2 This is a tree diagram of the power plant system equipment according to the present invention.
[0046] Figure 3 This is a diagram of the template loading interface for the instantiated model of the present invention.
[0047] Figure 4 This is a diagram of the KKS encoding rules and dictionary interface of the present invention.
[0048] Figure 5 This is a diagram of the plant-wide equipment KKS coding tree interface of the present invention.
[0049] Figure 6 This invention provides a copying object and automatically generates a KKS-encoded operation interface diagram.
[0050] Figure 7 This is a diagram of the top-level system operation interface for the present invention.
[0051] Figure 8 This is a diagram of the system-device structure template interface of the present invention.
[0052] Figure 9 This is the device location information configuration interface for the present invention. Detailed Implementation
[0053] This invention provides an instantiation definition and porting method for constructing digital models of power generation and transformation equipment. Addressing the need to construct digital models for power generation and transformation equipment in power systems, this method performs calculations such as equipment status trend prediction and fault diagnosis, and facilitates portability as equipment location changes. It establishes a logical structure based on an existing system-equipment-component structure, tailoring this structure to the specific circumstances of the actual project. This enables the modeling of the physical structure of the system-equipment-component structure under a power plant, forming a mapping of the actual power plant's structure and attributes in the digital world.
[0054] During instantiation, firstly, KKS coding rules and dictionaries are referenced to automatically generate a device KKS coding tree based on the selected template; then, the power plant system equipment structure is appropriately added or removed based on the actual situation of the plant; secondly, physical assets, equipment classification, and corresponding component attachments are performed for the equipment; finally, a power plant system equipment tree diagram is formed by configuring downstream connected equipment.
[0055] A method for modeling digital models of power generation and transformation equipment, such as Figure 1 As shown, it includes the following steps:
[0056] Step 1: Establish a power plant instantiation structure model:
[0057] Using KKS encoding rules and dictionaries, automatically generate the equipment KKS encoding tree based on the selected plant template;
[0058] Step 2: Associate the physical equipment, including the following steps:
[0059] S2.1: Select the device node, add and save the dictionary of device physical name, device physical code, and device effective time;
[0060] S2.2: Import the downloaded plant site template and import the actual equipment information according to the plant site template;
[0061] S2.3: Automatically load the physical device codes from the ePMS system. The ePMS system is a power production management information system.
[0062] Step 3: Configure device information, including the following steps:
[0063] S3.1: Select a device node, query the device type corresponding to the device node, select a device type, load all models under the device type, select a model, and attach the device category information under the model to the selected device;
[0064] S3.2: Select the downstream connection device button to bring up the complete power plant equipment structure tree, select the required parent node device, and configure it;
[0065] S3.3: Enter the "location of the equipment", "name of the cabinet where the equipment or component is located", and "installation location of the equipment or component in the cabinet" and then save.
[0066] Step 4: Configure the tree diagram, including the following steps:
[0067] S4.1: From the power plant equipment tree structure, select the required equipment nodes and add child node equipment level by level until all levels of child nodes are selected to generate a power plant system equipment tree diagram;
[0068] S4.2: Export the completed power plant system equipment tree diagram, such as... Figure 2 As shown.
[0069] It also includes step 5: Based on the notifications of new standards and standard changes, determine whether to update the instantiated data;
[0070] It also includes step 6: Importing and exporting the power plant system equipment coding table:
[0071] Import: Supports importing KKS code tables created manually offline;
[0072] Export: Export and generate the KKS code table for power plant system equipment.
[0073] In step 1, the instantiation of the power plant structural model includes:
[0074] Select and configure power plants: Select an existing power plant or add a new power plant;
[0075] Selecting a Plant Template: Before selecting a plant template, the power plant system will initialize and load the relevant templates of the hierarchical class standard. Select the desired plant template.
[0076] Loading the relevant templates of the hierarchical class standard, such as Figure 3 As shown.
[0077] Automatically generate KKS codes: such as Figure 4 As shown, based on the selected plant template, the power plant system automatically generates KKS codes using KKS coding rules and dictionaries, forming a KKS code tree for all equipment in the plant, as follows. Figure 5 As shown.
[0078] KKS coding originated in Germany. KKS is an abbreviation of the German phrase "Kraftwerk Kennzeichen System," meaning power plant identification system. It's a coding rule system that clearly identifies systems, equipment, components, and buildings within a power plant based on their function, model, and installation location. KKS coding rules are logically categorized and constructed into a dictionary for easy lookup. All equipment and components in the plant are KKS coded and arranged hierarchically, forming a plant-wide KKS coding tree.
[0079] Copy Objects: Supports the function of copying objects. For example... Figure 6 As shown, click Edit, then enter the prefix, suffix, and copy number, and click OK. This will copy the selected device's KKS encoding tree node and its descendant nodes to the specified number. KKS codes will be automatically generated during the operation.
[0080] Editing: Supports modifying the name of the device's KKS encoding tree node;
[0081] Deletion: When deleting, prompt the customer "Are you sure you want to delete this node?" If the customer agrees to delete, delete the node and its corresponding descendant nodes;
[0082] Re-import the top-level system: such as Figure 7 As shown, when a top-level system is selected, which is a system / device at the top level of the device tree, clicking "Re-import Top-Level System" allows you to select a new system template, such as "Hydrogen Generator Set". KKS codes are automatically generated during the operation.
[0083] Batch update attribute information: Supports batch import function, which can directly import files that have been edited offline, such as batch update of equipment physical information, equipment classification information, etc.;
[0084] Expand tree nodes: such as Figure 7 As shown, clicking the "+" before a tree node expands the root node, such as "Hydrogen Generator Set," and its child / grandchild nodes, such as "Generator System" and "Upper Guide Bearing System," which are respectively the child and grandchild nodes of "Hydrogen Generator Set."
[0085] Closing down tree nodes: such as Figure 7 As shown, clicking the "-" before a tree node will collapse the node, leaving only the root node visible.
[0086] In step 2, the physical equipment includes generators and transformers; the output attributes include:
[0087] Generator output attributes: generator rated capacity / voltage / current, reactance parameters such as direct-axis subtransient reactance per unit value, excitation parameters, etc.;
[0088] Transformer lead-out attributes: per-unit values of positive / zero sequence reactance of the main transformer, reference current / reference voltage / reference capacity of the high / low voltage side of the main transformer, etc.
[0089] A method for instantiating and defining a digital model of power generation and transformation equipment.
[0090] First, such as Figure 8 As shown, the equipment modeling and KKS coding auxiliary tool references KKS coding rules and dictionaries, and automatically generates the equipment KKS coding tree based on the selected system-equipment structure template;
[0091] Then, the power plant system equipment structure is appropriately increased or decreased based on the actual conditions of the plant.
[0092] Secondly, the equipment is classified as a physical asset, and the corresponding components are attached.
[0093] Finally, by configuring downstream connection equipment, a tree diagram of the power plant system equipment is formed.
[0094] The following section uses the construction of a digital model of the Gezhouba hydroelectric generator unit as an example to introduce the instantiation definition and porting method of this model:
[0095] Step ①: Instantiate and model the structure of the Gezhouba Power Plant:
[0096] Select and configure the power plant: Select Gezhouba Power Plant;
[0097] Select a template for the plant: Before selecting a template, the system will initialize and load the relevant templates of the hierarchical class standard. Select the desired template.
[0098] Automatically generate KKS codes: Based on the selected template, the system automatically generates KKS codes by referencing KKS coding rules and dictionaries, forming a KKS code tree for all equipment in the plant;
[0099] Copying objects: Click Edit, then enter the prefix, suffix, and copy number. Click OK to copy the selected node and its child nodes with the specified number. KKS codes are automatically generated during the operation.
[0100] Re-import top-level system: Select the top-level system "Gezhouba Power Station", click Re-import Top-Level System, and you can select a new system template. KKS code will be automatically generated during the operation.
[0101] Batch update attribute information: Import files that have been edited offline, such as equipment physical information and equipment category information, in batches.
[0102] Step 2, Equipment Physical Association:
[0103] There are two methods for associating equipment with physical assets. The first method is import. Before importing, a template is downloaded, and the physical asset information is imported according to the template. The second method is loading, where the system can automatically load physical asset codes from existing systems via an interface.
[0104] Step 3, Configuration Information:
[0105] Equipment Classification and Coding: Select a device node, query the corresponding equipment type, select a type, load all models under that type, select a model, and attach the equipment classification information under that model to the selected device;
[0106] Downstream Connected Devices: Configure the downstream connected devices of the device to lay the foundation for generating the tree diagram. Select the Downstream Connected Devices button to bring up the complete device tree, select the upstream device or system of the required device, and confirm to complete the configuration.
[0107] Equipment location information: Enter the "location of the equipment", "name of the cabinet where the equipment or component is located", and "installation location of the equipment or component in the cabinet" and then click save to save the above three attributes.
[0108] like Figure 9 As shown, taking the turbine of the Gezhouba Power Plant No. 01 turbine generator unit as an example, the "location of equipment" is the Erjiang Powerhouse of Gezhouba Power Station, the "name of the panel where the equipment or component is located" is "No. 01 turbine generator unit", and the "installation location of the equipment or component in the panel" is "turbine layer".
[0109] Step 4: Tree diagram configuration:
[0110] Topology Creation: Based on the created physical power plant equipment structure and the power plant equipment structure generated by KKS encoding, the power plant equipment connection topology is constructed. That is, from the power plant equipment tree structure, the required nodes are selected level by level to add downstream connection devices until all levels of child nodes are selected, generating a power plant equipment tree diagram. (See...) Figure 2 .
[0111] Step 5: Receive change notifications:
[0112] The Gezhouba Power Plant has been instantiated and uses an equipment classification code dictionary. When the equipment classification code dictionary is changed, the user roles of the Gezhouba Power Plant will be notified, and the users will decide whether to update the instantiated data based on the notification.
[0113] Step 6, System Equipment KKS Code Table:
[0114] Import: Supports importing KKS code tables created manually offline;
[0115] Export: Export and generate the Gezhouba Power Plant equipment KKS code table.
Claims
1. A method of modeling a digital model of a power generation and distribution equipment, the method comprising: Includes the following steps: Step 1: Establish a power plant instantiation structure model: Using KKS encoding rules and dictionaries, automatically generate the equipment KKS encoding tree based on the selected plant template; Step 2: Associate the physical equipment, including the following steps: S2.1: Select the device node, add and save the dictionary of device physical name, device physical code, and device effective time; S2.2: Import the downloaded plant template and import the actual equipment information according to the plant template; S2.3: Automatically load the physical device codes from the ePMS system; Step 3: Configure device information, including the following steps: S3.1: Select a device node, query the device type corresponding to the device node, select a device type, load all models under the device type, select a model, and attach the device category information under the model to the selected device; S3.2: Select the downstream connection device button to bring up the complete power plant equipment structure tree, select the required parent node device, and configure it; S3.3: Enter the "location of the equipment", "name of the cabinet where the equipment or component is located", and "installation location of the equipment or component in the cabinet" and then save; Step 4: Configure the tree diagram, including the following steps: S4.1: From the power plant equipment tree structure, select the required equipment nodes and add child node equipment level by level until all levels of child nodes are selected to generate a power plant system equipment tree diagram; S4.2: Export the completed power plant system equipment tree diagram; In step 1, the instantiation of the power plant structural model includes: Select and configure power plants: Select an existing power plant or add a new power plant; Selecting a Plant Template: Before selecting a plant template, the power plant system will initialize and load the relevant templates of the hierarchical class standard. Select the desired plant template. Automatic KKS code generation: Based on the selected plant template, the power plant system automatically generates KKS codes by referencing KKS coding rules and dictionaries, forming a KKS code tree for all equipment in the plant; Copy Object: Supports the copy object function; click Edit, then enter the prefix, suffix, and copy number, and click OK. This will copy the selected device's KKS encoding tree node and its descendant nodes to the specified number. KKS codes will be automatically generated during the operation. Editing: Supports modifying the name of the device's KKS encoding tree node; Deletion: When deleting, prompt the customer "Are you sure you want to delete this node?" If the customer agrees to delete, then delete the node and its corresponding descendant nodes. Re-import top-level system: Select a top-level system and click Re-import Top-Level System to select a new system template. KKS code will be automatically generated during the operation. Batch update attribute information: Supports batch import function, which can directly import files that have been edited offline, and update equipment physical information and equipment classification information in batches through import.
2. The digital model modeling method of a power generation and transformation device according to claim 1, characterized in that: It also includes step 5: Based on the notifications of new standards and standard changes, determine whether to update the instantiated data.
3. The method for modeling a digital model of power generation and transformation equipment according to claim 1, characterized in that: It also includes step 6: Importing and exporting the power plant system equipment coding table: Import: Supports importing KKS code tables created manually offline; Export: Export and generate the KKS code table for power plant system equipment.
4. The method for modeling a digital model of power generation and transformation equipment according to claim 1, characterized in that: In step 2, the physical equipment includes generators and transformers; the output attributes include: Generator lead-out attributes: Generator rated capacity / voltage / current, direct-axis subtransient reactance per unit value; Transformer lead-out attributes: per-unit values of positive / zero sequence reactance of main transformer, reference current / reference voltage / reference capacity of high / low voltage side of main transformer.
Citation Information
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