Gridding power distribution network energy scheduling method and device and computer equipment

Abstract

The invention relates to a grid power distribution network energy scheduling method and device and computer equipment. The method comprises the steps that function demand data of a control terminal in a gridding power distribution network scene is acquired, a first logic node matched with the function demand data is matched from preset candidate logic nodes according to the function demand data, the first logic node is a logic node meeting the substation automation standard, and the control terminal is connected with the control terminal on the basis of the first logic node. Constructing a logic equipment model of the control terminal, expanding and adjusting classes and attributes of a pre-constructed power system information model according to the function demand data and the attributes of the logic equipment model, so as to enable the expanded power system information model to correspond to the logic equipment model, and based on the logic equipment model and the expanded power system information model, determining whether the power system information corresponds to the logic equipment model or not. And dispatching the distributed energy in the grid power distribution network. By adopting the method, efficient energy scheduling can be realized.

Description

Technical Field

[0001] The present application relates to the technical field of electric power grids, and in particular to a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for energy dispatching in a grid distribution network. Background Art

[0002] As the energy crisis and environmental problems intensify, the proportion of distributed energy supply continues to increase, and the new power system based on distributed energy is gradually becoming the mainstream trend.

[0003] In response to the problems caused by a high proportion of distributed energy, some experts and scholars have proposed the concept of grid distribution network. The grid distribution network takes the grid as the basic unit. The grid is defined as a flexible combination of interconnected distributed power sources, energy storage devices and loads within a certain power or geographical boundary. The centralized and distributed hybrid three-layer control system adopted by the grid distribution network can realize the flexible production and consumption of distributed energy, improve energy utilization, and greatly improve the control ability of smart devices in the grid, thereby improving the flexibility and resilience of the power grid.

[0004] However, the current energy management and dispatching schemes for grid-based distribution networks still find it difficult to support the implementation of plug-and-play mechanisms and grid reorganization, resulting in low energy dispatching efficiency. Summary of the invention

[0005] Based on this, it is necessary to provide an efficient grid distribution network energy scheduling method, device, computer equipment, computer readable storage medium and computer program product to address the above technical problems.

[0006] In a first aspect, the present application provides a grid distribution network energy dispatching method, comprising:

[0007] Obtain the functional requirement data of the control terminal in the grid distribution network scenario;

[0008] According to the functional requirement data, a first logical node matching the functional requirement data is matched from preset candidate logical nodes, where the first logical node is a logical node that complies with a substation automation standard;

[0009] Based on the first logical node, construct a logical device model of the control terminal;

[0010] According to the functional requirement data and the attributes of the logical device model, the classes and attributes of the pre-built power system information model are expanded and adjusted so that the expanded power system information model corresponds to the logical device model;

[0011] Distributed energy in a grid distribution network is dispatched based on the logical device model and the expanded power system information model.

[0012] In a second aspect, the present application also provides a grid-based distribution network energy dispatching device, comprising:

[0013] A data acquisition module is used to obtain the functional requirement data of the control terminal in the grid distribution network scenario;

[0014] A data matching module, configured to match a first logical node matching the functional requirement data from preset candidate logical nodes according to the functional requirement data, wherein the first logical node is a logical node that complies with a substation automation standard;

[0015] A model building module, used to build a logical device model of the control terminal based on the first logical node;

[0016] A model extension module, used to extend and adjust the classes and attributes of the pre-built power system information model according to the functional requirement data and the attributes of the logical device model, so that the extended power system information model corresponds to the logical device model;

[0017] An energy dispatching module is used to dispatch distributed energy in a grid distribution network based on the logical device model and the expanded power system information model.

[0018] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps in the above-mentioned grid distribution network energy scheduling method embodiment when executing the computer program.

[0019] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps in the above-mentioned grid distribution network energy scheduling method embodiment are implemented.

[0020] In a fifth aspect, the present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps in the above-mentioned grid distribution network energy scheduling method embodiment.

[0021] The above-mentioned grid distribution network energy dispatching method, device, computer equipment, computer-readable storage medium and computer program product dynamically match a suitable first logical node from the preset candidate logical nodes according to the functional requirement data of the control terminal, can flexibly respond to different functional requirements, so that the system can quickly adapt to new application scenarios or changing requirements, build a logical device model based on the first logical node, can ensure the interoperability between devices, expand the power system information model through the functional requirement data and the attributes of the logical device model, add new classes and attributes according to actual needs, so that the expanded power system information model is unified with the logical device model, and the consistency and interoperability of the control terminal model and the logical device model are guaranteed. Finally, based on the logical device model and the expanded power system information model, distributed energy can be dispatched more accurately, which is conducive to improving energy management efficiency, reducing energy waste, and improving the reliability and safety of the system. In the whole process, through the steps of dynamically matching logical nodes, building logical device models, and expanding power system information models, efficient energy dispatching is achieved, and the flexibility, interoperability, scalability and reliability of the system are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0023] FIG1 is an application environment diagram of a grid distribution network energy dispatching method according to an embodiment;

[0024] Figure 2 A schematic diagram of a flow chart of a grid distribution network energy dispatching method in one embodiment;

[0025] Figure 3 A schematic diagram of a flow chart of a grid distribution network energy dispatching method in another embodiment;

[0026] Figure 4 A flowchart of steps for building a logical device model in one embodiment;

[0027] Figure 5 A schematic diagram of a flow chart of a grid distribution network energy dispatching method in another embodiment;

[0028] Figure 6 It is a structural block diagram of a grid distribution network energy dispatching device in one embodiment;

[0029] Figure 7It is a structural block diagram of a grid distribution network energy dispatching device in another embodiment;

[0030] FIG. 8 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0032] The grid power grid energy dispatching method provided in the embodiment of the present application can be applied in the application environment shown in FIG1. ​​Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The data storage system stores data such as a logical node library and a pre-built power system information model.

[0033] Specifically, the operator may upload the functional requirement data of the control terminal in the grid distribution network scenario to the server 104 through the terminal 102, and then send a modeling instruction to the server 104. The server 104 responds to the modeling instruction and matches the first logical node that matches the functional requirement data from the preset candidate logical nodes according to the functional requirement data of the control terminal in the grid distribution network scenario. The first logical node is a logical node that complies with the substation automation standard. Then, based on the first logical node, a logical device model of the control terminal is constructed. Then, according to the functional requirement data and the attributes of the logical device model, the classes and attributes of the pre-constructed power system information model are expanded and adjusted so that the expanded power system information model corresponds to the logical device model. Finally, based on the logical device model and the expanded power system information model, the distributed energy in the grid distribution network is dispatched.

[0034] The terminal 102 may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart car devices, projection devices, etc. Portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. Head-mounted devices may be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. The server 104 may be an independent physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server that provides cloud computing services.

[0035] In an exemplary embodiment, Figure 2 As shown, a grid distribution network energy dispatching method is provided, and the method is applied to the server 104 in FIG. 1 as an example for explanation, including the following steps S202 to S210. Among them:

[0036] S202, obtaining functional requirement data of the control terminal in a grid distribution network scenario.

[0037] The grid distribution network is a new distribution network system that is used to deal with the problems caused by the high proportion of renewable energy access. It takes the grid as the basic unit, and adopts a three-layer control structure that is a mixture of centralized and distributed in each grid. The highest layer is the grid edge equipment, which is responsible for formulating the control plan for distributed energy production in the grid, the electricity transaction between adjacent grids, and the control of the grid reorganization process. The middle layer is the intelligent control terminal to realize the detection, control and protection functions of a distributed power generation system area. The bottom layer is various distributed power supply equipment and power electronic equipment, which are responsible for realizing the monitoring of electrical quantities and specific control operations.

[0038] In this embodiment, the control terminal may be an intelligent control terminal, which is a device that integrates advanced sensing, communication, computing and control technologies and is used to realize automatic monitoring and management of various devices and processes in the power system. These terminals are usually deployed in substations, distribution networks or user terminals to improve the operation efficiency, reliability and safety of the power grid.

[0039] In this embodiment, the functional requirement data refers to the data of various specific functions and technical specifications that the control terminal needs to have in order to achieve the expected functions and performance in the grid distribution network scenario. These data generally include the tasks that the control terminal needs to perform, the functions it supports, the interaction mode with other devices, the communication protocol, the data processing capability, and the safety requirements. Specifically, the functions that the control terminal needs to implement include the measurement and disconnection control function of the electrical connection point, the detection and reporting function of the fault, the planning and control function of the distributed power source that supports the grid reconstruction, etc.

[0040] In specific implementation, the functional requirement data of the control terminal can be obtained by the operation and maintenance personnel through demand analysis of the intelligent control terminal in the grid distribution network. For example, it is clear what type of grid distribution network the intelligent control terminal will be applied to (for example, urban distribution network, rural microgrid, etc.), and the main tasks and goals of the intelligent control terminal, including the measurement and disconnection control functions of the electrical connection point, the detection and reporting functions of faults, and the planning and control functions of distributed power sources that support grid reconstruction. Subsequently, each functional requirement is described in detail, including input and output data, processing flow, performance indicators, etc.

[0041] S204 , according to the functional requirement data, matching a first logical node that matches the functional requirement data from preset candidate logical nodes, where the first logical node is a logical node that complies with the substation automation standard.

[0042] In this embodiment, the substation automation standard refers to the IEC 61850 standard, which is a standard developed by the International Electrotechnical Commission (IEC) and aims to provide an open, network-based communication architecture for substation automation systems. The IEC61850 standard defines the information exchange and service model between intelligent electronic devices (IEDs) in substations, supports plug-and-play functions, and can be applied to different network technologies and communication protocols, thereby improving the interoperability and reliability of the system.

[0043] Logical node is a concept defined in IEC 61850 standard, which represents a specific function or physical component. Each logical node contains a set of related data objects and services to describe the behavior and status of the function or component. Logical node is the basic unit for building logical devices. By combining multiple logical nodes, complex logical devices can be formed to realize multiple functions.

[0044] In specific implementation, a preset candidate logical node library can be established according to the IEC 61850 standard. This library contains various common logical nodes, such as LLN0 (general information and function node), LPHD (physical device basic information and function node), MMXU (three-phase power measurement node), CSWI (disconnection control node), PDIS (distance protection function node), PTOC (overcurrent protection node), PTOV (overvoltage protection node), and DRCC (distributed unit control function node). After the server obtains the functional requirement data, it can be a detailed analysis of the functional requirements, clarify the specific functions and technical requirements of each requirement, and select the first logical node that matches the functional requirement data from the preset candidate logical node library. For example, if the requirement mentions the need to measure three-phase power, then the MMXU logical node can be selected; if disconnection control is required, the CSWI logical node can be selected. In this process, ensure that the selected logical node can fully cover all requirements in the functional requirement data and comply with the IEC 61850 standard.

[0045] S206: Construct a logical device model of the control terminal based on the first logical node.

[0046] A logical device is composed of a group of logical nodes, representing a complete device or system. The logical device model in this embodiment can be regarded as a structured model, so that devices from different manufacturers can interoperate through standardized interfaces, thereby improving the flexibility and scalability of the system. After matching the first logical node that conforms to the functional requirement data, each logical node in the logical device can be configured, its data attributes and services can be set, and then the first logical nodes can be combined to construct a complete logical device model of the control terminal. It can be understood that if the first logical node is screened out and does not meet the needs of the control terminal in the grid distribution network scenario, the first logical node can be expanded based on the functional requirement data to obtain more logical nodes until the logical device model constructed based on the logical node meets the needs in the grid distribution network scenario.

[0047] S208, according to the functional requirement data and the attributes of the logical device model, the classes and attributes of the pre-built power system information model are expanded and adjusted so that the expanded power system information model corresponds to the logical device model.

[0048] The power system information model refers to CIM (Common Information Model), which is a set of power system information model standards developed by the International Electrotechnical Commission (IEC) to provide a unified data model for power system management and related information exchange. CIM defines various entities in the power system (such as generators, transformers, lines, etc.) and their relationships, and provides a standardized data representation method.

[0049] In this embodiment, the pre-built CIM model refers to an existing CIM model that already exists, which is used to describe the basic properties and functions of the control terminal. The model contains some common classes and attributes, but it may not be enough to fully cover all requirements in the grid distribution network scenario. Therefore, in order to ensure the unification of the logical device model and the power system information model, the classes and attributes of the pre-built power system information model can be expanded and adjusted according to the functional requirement data and the attributes of the logical device model. Specifically, it can include extending the attributes related to the regulation and control of the power system, and the attributes should cover all necessary functional requirements. For example: electrical parameters (voltage, current, power, etc.), control commands (breaking control, regulation control, etc.), status information (equipment status, fault status, etc.), protection functions (overcurrent protection, overvoltage protection, etc.), so that the expanded power system information model corresponds to the logical device model, that is, to ensure that the data attributes and services in the logical device model and the expanded CIM model are consistent, so that the master station system can accurately understand and manage these intelligent control terminals.

[0050] S210, dispatching distributed energy in the grid distribution network based on the logical device model and the extended power system information model.

[0051] Distributed energy refers to small power generation facilities located on the user side or close to the load center, such as photovoltaic power stations, wind power stations, small gas turbines, etc. Distributed energy can adopt a variety of technologies, including but not limited to renewable energy, traditional energy and energy storage systems.

[0052] Following the above steps, after expanding the CIM model and maintaining the unity of the CIM model and the logical device model, the expanded CIM model and the logical device model can be integrated into the power system. Based on the logical device model, the intelligent control terminal monitors the operating status of distributed energy in real time, including power generation, load demand, equipment status, etc., analyzes the collected data, evaluates the current supply and demand situation, predicts future load demand and power generation capacity, and then coordinates the output of distributed energy to balance the supply and demand relationship. For example, the intelligent control terminal can perform real-time monitoring and automatic control through the logical nodes in the logical device model. When an abnormal situation (such as a fault or load change) is detected, the DFLT logical node can be used to quickly respond and isolate the problem area.

[0053] The above-mentioned grid distribution network energy dispatching method dynamically matches a suitable first logical node from the preset candidate logical nodes according to the functional requirement data of the control terminal, can flexibly respond to different functional requirements, so that the system can quickly adapt to new application scenarios or changing requirements, build a logical device model based on the first logical node, can ensure the interoperability between devices, expand the power system information model through the functional requirement data and the attributes of the logical device model, add new classes and attributes according to actual needs, so that the expanded power system information model is unified with the logical device model, and the consistency and interoperability of the control terminal model and the logical device model are guaranteed. Finally, based on the logical device model and the expanded power system information model, distributed energy can be dispatched more accurately, which is conducive to improving energy management efficiency, reducing energy waste, and improving the reliability and safety of the system. In the whole process, through the steps of dynamically matching logical nodes, building logical device models, and expanding power system information models, efficient energy dispatching is achieved, and the flexibility, interoperability, scalability and reliability of the system are improved.

[0054] In an exemplary embodiment, the first logical node may be expanded according to actual functional requirements, such as Figure 3 As shown, the method further includes: S205, when it is determined that the first logic node does not meet the preset logic function requirement, expanding a second logic node that complies with the substation automation standard and meets the preset logic function requirement.

[0055] S206 includes: 216, constructing a logical device model of the control terminal based on the first logical node and the second logical node.

[0056] In this embodiment, the logical function requirement refers to the demand data used to describe the logical functions that the control terminal needs to have in the grid distribution network scenario. These requirements include the tasks that the terminal needs to perform, the functions it supports, the way it interacts with other devices, the communication protocol, the data processing capabilities, etc., to ensure that the constructed logical device model can accurately describe the functions and behaviors of the control terminal and meet the needs of actual applications. For example, the control terminal needs to have the planning and control functions of distributed power sources that support grid reconstruction.

[0057] In specific implementation, if the first logical node can fully cover all logical function requirements, then the logical node can be directly used for subsequent logical device model construction. If the first logical node cannot fully cover all logical function requirements, or some key functions are not met, then it is necessary to expand a new second logical node and define necessary data attributes and services for the second logical node to achieve the required functions. It is understandable that the expanded second logical node must also comply with the IEC61850 standard.

[0058] For example, if the control terminal needs to add a regional fault judgment function, the DFLT (regional fault judgment function) logic node can be expanded; if a distributed power supply control mode qualification judgment is required, the DPCQ (regional distributed power supply control mode qualification judgment) logic node can be expanded; if automatic distributed power supply regional control is required, the ADAC (automatic distributed power supply regional control) logic node can be expanded; if the control terminal needs to add a grid reorganization regional control mode switching function, the DSCR (grid reorganization regional control mode switching) logic node can be expanded.

[0059] Specifically, the DFLT (regional fault judgment function) logical node is used to detect and report faults, determine which region the fault is in and between which two section switches. Its specific definition is as follows:

[0060] The analog quantity information includes: fault type FaultType, the attribute type is INS; fault state FltSt, the attribute type is ST.

[0061] The measurement information includes: the overall regional failure rate AreFltRate, with an attribute type of INS; the failure existence time FltDur, with an attribute type of INS; the number of failures FltCnt, with an attribute type of INS; and the failure location FltLoc, with an attribute type of INS.

[0062] The control quantity information includes: the fault detection function is started FaultDetected, and the attribute type is SPC.

[0063] The fixed value parameter information includes: the grid number CellID, the attribute type is INS; the regional intelligent control terminal number CtrlTerminalID, the attribute type is INS; the ID SwitchTerminalID1 of the boundary section switch 1, the attribute type is INS; the ID SwitchTerminalID2 of the boundary section switch 2, the attribute type is INS. The specific definition of the DFLT (regional fault judgment) node can be found in Table 1 below.

[0064] Table 1 DFLT logical node definition

[0065]

[0066] Among them, the DPCQ (regional distributed power control mode qualification judgment) logical node is used to evaluate the type and total capacity of distributed energy in the region, determine the state and health of the energy storage system, and determine whether the region has the ability to serve as a voltage / frequency (VF) node to support higher-level control strategies. Its specific definition is as follows:

[0067] The analog quantity information includes: regional distributed energy type DERType, attribute type INS; total controllable distributed energy capacity in the region TotCap_DER, attribute type ASG; rated capacity of energy storage system ESS_AhrRtg, attribute type ASG; regional voltage stability VoltStability, attribute type ASG; regional frequency stability FreqStability, attribute type ASG; power balancing capability, attribute type ASG; regional energy storage system health status ESSHealthST, attribute type ST; regional qualification as VF node VFNodeQua, attribute type ASG. The measurement information includes: energy storage system charge state ESS_SOC, attribute type MV; response speed ResponseTime when voltage or frequency is abnormal, attribute type INS. The specific definition of the DPCQ (regional distributed power control mode qualification judgment) logical node can be found in Table 2 below.

[0068] Table 2 DPCQ logical node definition

[0069]

[0070] Among them, the DSCR (regional control mode switching during grid reorganization) logical node is used to manage the conversion of control modes during grid reorganization, set relevant parameters of the inverter, such as proportional integral controller settings, power droop coefficient, etc., to ensure the continuity and stability of power supply when switching between different grids. Its specific definition is as follows:

[0071] The analog quantity information includes: regional distributed energy type DERType, attribute type is INS; the total capacity of controllable distributed energy in the region TotCap_DER, attribute type is ASG; the grid number CellIDBefReconfig to which the region belongs before switching, attribute type is INS; the grid number CellIDAftReconfig to which the region belongs after switching, attribute type is INS; the regional control mode CtrlModeBefore before reorganization, attribute type is ENS; CtrlModeAfter, attribute type is ENS.

[0072] The control setting information includes: inverter proportional controller parameter setting Kp_TotCapSet, attribute type ASG; inverter integral control parameter setting Ki_TotCapSet, attribute type ASG; inverter active power droop coefficient setting AP-FreqDroopSet, attribute type ASG; inverter reactive power droop coefficient setting RP-VoltDroopSet, attribute type ASG; inverter virtual inertia setting VirtInertiaSet, attribute type ASG; inverter virtual damping coefficient setting VirtDampingSet, attribute type ASG.

[0073] The specific definition of the regional control mode switching node DSCR during grid reorganization can be seen in Table 3 below.

[0074] Table 3 DSCR logical node definition

[0075]

[0076] Among them, the ADAC (Automatic Distributed Generation Area Control) logical node is used to automatically adjust the output of distributed generation in the region to match the load demand. Its specific definition is as follows:

[0077] The analog quantity information includes: regional distributed energy type DERType, with an attribute type of INS; the total capacity of controllable distributed energy in the region TotCap_DER, with an attribute type of ASG; and the overall load curve of distributed energy in the region DERLodCrv, with an attribute type of CURVE.

[0078] The measurement information includes: PCC output power PCCOutAP, with an attribute type of MV; PCC output reactive power PCCOutRP, with an attribute type of MV; PCC voltage PCCVolt, with an attribute type of MV; PCC frequency PCCFreq, with a sequence type of MV.

[0079] The control settings are: regional control mode DERCtrlMode, attribute type ENS; voltage setpoint VoltSetpoint, attribute type ASG; frequency setpoint FreqSetpoint, attribute type ASG; total active power output index OutWset, attribute type ASG; total reactive power output index OutVArSet, attribute type ASG. The fixed value parameters are: regional intelligent control terminal number CtrlTerminalID, attribute type INC; regional grid number CellID, attribute type INC. The specific definition of ADAC (Automatic Distributed Generation Area Control) node can be found in Table 4 below.

[0080] Table 4 ADAC logical node definition

[0081]

[0082] After the second logical node is expanded, the first logical node and the second logical node can be combined to form a complete logical device model, configure each logical node in the logical device, set its data attributes and services, and ensure that they can work together to achieve the required functions.

[0083] In this embodiment, when it is determined that the first logical node does not meet the preset logical function requirements, a second logical node that meets the substation automation standard is expanded, and a logical device model of the control terminal is constructed based on the two logical nodes. This not only ensures the integrity and functionality of the model, but also improves the flexibility and scalability of the system, so that the intelligent control terminal can better adapt to the complex power grid environment and diverse functional requirements.

[0084] like Figure 4 As shown, in an exemplary embodiment, S206 includes:

[0085] S226, create a first logical device object, add the general information function node, the physical device information function node, the three-phase power measurement node, the disconnection control node and the circuit breaker status management node to the first logical device object, configure the data attributes and services of each logical node, and obtain the first functional device, which is used to measure and control the disconnection at the electrical connection point.

[0086] S246, create a second logical device object, add the general information function node, physical device information function node, distance protection function node, overcurrent protection node, overvoltage protection node and regional fault judgment node to the second logical device, configure the data attributes and services of each logical node, and obtain a second functional device, which is used to detect and report faults.

[0087] S266, create a third logical device object, add the general information function node, the physical device information function node, the distributed unit control function node, the regional distributed power supply control mode qualification judgment node, the grid reorganization regional control mode switching node and the automatic distributed power supply regional control node to the third logical device object, configure the data attributes and services of each logical node, and obtain the third functional device, which is used to plan and control the distributed power supply of grid reconstruction.

[0088] S286, combining the first function device, the second function device and the third function device to obtain a logical device model of the control terminal.

[0089] The logical device object is an abstract entity built based on the IEC 61850 standard, representing a complete physical device or system. It consists of a set of logical nodes (LNs), each of which represents a specific function or physical component.

[0090] In specific implementation, since the logical model structure of IEC61850 is: from standard data types to data objects, and then combined into logical nodes, together forming a logical device, therefore, the first logical device object can be created first, and the following logical nodes can be added to the object:

[0091] General information function node (LLN0): provides basic information and general functions of the device.

[0092] Physical device information function node (LPHD): provides basic information of physical devices.

[0093] Three-phase electrical quantity measurement node (MMXU): used to measure three-phase electrical parameters (such as voltage, current, power, etc.).

[0094] CSWI: used to control the breaking operation of the switchgear.

[0095] Circuit breaker status management node (XCBR): used to manage the status and operation of the circuit breaker.

[0096] Subsequently, data attributes and services of each logical node are configured to obtain a first functional device for measuring and controlling the disconnection at the electrical connection point, ensuring that they can work together to achieve the function of measuring and controlling the disconnection at the electrical connection point.

[0097] Next, you can create a second logical device object and add the following logical nodes to it:

[0098] General Information Function Node (LLN0)

[0099] Physical Device Information Function Node (LPHD)

[0100] Distance protection function node (PDIS): used to implement distance protection function.

[0101] Overcurrent protection node (PTOC): used to implement overcurrent protection function.

[0102] Overvoltage protection node (PTOV): used to implement overvoltage protection function.

[0103] Regional Fault Detection Node (DFLT): used to detect and report faults within the region.

[0104] Subsequently, the data attributes and services of each logical node are configured to obtain a second functional device for detecting and reporting faults, ensuring that they can work together to achieve the fault detection and reporting functions.

[0105] Finally, create the third logical device object and add the following logical nodes to it:

[0106] General Information Function Node (LLN0)

[0107] Physical Device Information Function Node (LPHD)

[0108] Distributed unit control function node (DRCC): used to control distributed power units.

[0109] Regional distributed power control mode qualification judgment node (DPCQ): used to judge the control mode qualification of distributed power.

[0110] DSCR: It is used to switch the control mode during mesh reorganization.

[0111] Automatic distributed generation area control node (ADAC): used to automatically control the distributed generation area.

[0112] Similarly, the data attributes and services of the above-mentioned logical nodes are configured to obtain the third functional device for planning and controlling the distributed power source for grid reconstruction, ensuring that they can work together to realize the distributed power source function for planning and controlling the grid reconstruction.

[0113] Finally, the first function device, the second function device and the third function device are combined to form a complete logical device model of the control terminal. The logical device model integrates measurement and control, fault detection and reporting, and distributed power planning and control functions, which can meet the needs of grid distribution network scenarios.

[0114] In this embodiment, by dividing different functions into independent logical device objects, specific functions can be flexibly added, deleted or modified without affecting the stability of the entire system.

[0115] like Figure 5 As shown, in some exemplary embodiments, S204 includes: S224, determining the logical function required for controlling the terminal based on the functional requirement data, and matching a first logical node matching the logical function from preset candidate logical nodes.

[0116] During specific implementation, the functional requirement data can be classified and analyzed to determine the logical functions corresponding to the functional requirement data. For example, the logical functions may include measurement functions, including the measurement of electrical parameters such as voltage, current, and power factor; control functions, including disconnection control, regulation control, etc.; protection functions: including overcurrent protection, overvoltage protection, distance protection, etc.; fault detection and reporting functions: including fault detection, location, and reporting; and distributed power management functions: including distributed power planning, control, and optimization scheduling. Then, based on the IEC 61850 standard, select the first logical node that meets the required logical function from the preset candidate logical node library, including but not limited to the following logical nodes:

[0117] General information function node (LLN0): provides basic information and general functions of the device.

[0118] Physical device information function node (LPHD): provides basic information of physical devices.

[0119] Three-phase electrical quantity measurement node (MMXU): used to measure three-phase electrical parameters.

[0120] CSWI: used to control the breaking operation of the switchgear.

[0121] Circuit breaker status management node (XCBR): used to manage the status and operation of the circuit breaker.

[0122] Distance protection function node (PDIS): used to implement distance protection function.

[0123] Overcurrent protection node (PTOC): used to implement overcurrent protection function.

[0124] Overvoltage protection node (PTOV): used to implement overvoltage protection function

[0125] Next, it is ensured that the screened first logical node can fully cover all logical function requirements and conform to the requirements of the IEC 61850 standard.

[0126] In this embodiment, the logical function is determined according to the functional requirement data of the control terminal, and a suitable first logical node is dynamically matched from preset candidate logical nodes based on the logical function, which can flexibly respond to different functional requirements, so that the system can quickly adapt to new application scenarios or changing requirements.

[0127] like Figure 5 As shown, in some exemplary embodiments, S208 includes: S228, determining the regulating equipment class in the power system information model as the parent class, creating a subclass of the parent class, adding new target attributes to the subclass according to the functional requirement data, defining an enumeration class, mapping the attributes of the logical device model to the target attributes, and obtaining the expanded power system information model.

[0128] In this embodiment, the CIM model used can be the CIMV17 version. The regulating device class is the RegulatingCondEq class, which is a class in the CIM model and represents power equipment with regulating functions. This class is generally used to describe devices that can adjust voltage, frequency or other electrical parameters, such as voltage regulators, reactive power compensation devices, etc. A subclass is a new class inherited from a parent class. A subclass can inherit all the properties and services of the parent class, and can add new properties and services to meet specific needs. The target attribute is a new attribute added to the subclass based on specific functional requirement data. These attributes are used to describe subclass-specific functions and behaviors. An enumeration class is a special class used to define a limited set of named constants. These constants are typically used to represent states, types, or other discrete values.

[0129] In specific implementation, the extended CIM model can be: Since the RegulatingCondEq class provides the basic properties and services of the regulating device and is suitable as the basis for extension, the RegulatingCondEq class in the CIM model can be determined as the parent class. Based on the RegulatingCondEq class, create a new subclass. For example, it can be named SmartControlTerminal, and the newly created subclass SmartControlTerminal will automatically inherit all the properties and services of the RegulatingCondEq class. According to the functional requirement data, determine the new properties that need to be added to the subclass. For example, if you need to support distributed power management, you can add properties related to distributed power. Specifically, you can add new target properties in the subclass SmartControlTerminal. These properties may include: electrical parameters such as voltage, current, power factor, etc.; control commands such as disconnection control, regulation control, etc.; status information such as device status, fault status, etc.; protection functions such as overcurrent protection, overvoltage protection, etc.

[0130] In addition, for specific enumeration attributes such as control mode, fault type, etc., enumeration classes are also extended. For example:

[0131] Control mode enumeration: ControlModeEnum, including values ​​such as MANUAL and AUTOMATIC.

[0132] Fault type enumeration: FaultTypeEnum, including values ​​such as OVERCURRENT and OVERVOLTAGE.

[0133] Reference enumeration: Reference these enumeration classes in the subclass SmartControlTerminal to ensure the consistency and standardization of property values.

[0134] Finally, the logical node attributes in the logical device model are mapped to the target attributes of the subclass SmartControlTerminal. For example, the attributes of LLN0 (general information and functions) can be mapped to the general information attributes of SmartControlTerminal, the attributes of LPHD (basic information and functions of physical devices) can be mapped to the physical device information attributes of SmartControlTerminal, the attributes of MMXU (measurement of three-phase electricity) can be mapped to the electrical parameter attributes of SmartControlTerminal, the attributes of CSWI (breaking control) can be mapped to the control command attributes of SmartControlTerminal, and the attributes of XCBR (circuit breaker status management) can be mapped to the status information attributes of SmartControlTerminal. It can be understood that the entire mapping process needs to ensure data consistency during the mapping process so that the logical device model and the extended CIM model can be seamlessly connected to obtain the extended CIM model.

[0135] Furthermore, after obtaining the extended CIM model, the extended CIM model can be verified to ensure that all newly added attributes and enumeration classes comply with the CIM specification. The communication and data exchange between the intelligent control terminal and the master station system can also be verified through actual system integration testing to test the test interoperability of the CIM model.

[0136] In this embodiment, by creating subclasses and dynamically adding new target attributes according to actual needs, the CIM model can be flexibly extended to meet specific application needs, so that it can support the functions of the intelligent control terminal and achieve seamless integration with the logical device model.

[0137] In order to make a clearer description of the grid distribution network energy dispatching method provided by the present application, a specific embodiment is described below, and the specific embodiment includes the following steps:

[0138] S1, obtain the functional requirement data of the control terminal in the grid distribution network scenario.

[0139] S2, based on the functional requirement data, determining the logic function required by the control terminal, matching a first logic node matching the logic function from preset candidate logic nodes, the first logic node being a logic node that complies with the substation automation standard.

[0140] S3, when it is determined that the first logic node does not meet the preset logic function requirement, a second logic node that complies with the substation automation standard and meets the preset logic function requirement is expanded.

[0141] Among them, the first logical node includes at least one of a general information function node, a physical device information function node, a three-phase power measurement node, a disconnection control node, a circuit breaker status management node, a distance protection function node, an overcurrent protection node, an overvoltage protection node, and a distributed unit control function node; the second logical node includes at least one of a regional fault judgment node, a regional distributed power supply control mode qualification judgment node, a grid reorganization regional control mode switching node, and an automatic distributed power supply regional control node.

[0142] S4: construct a logical device model of the control terminal based on the first logical node and the second logical node.

[0143] Specifically, a first logical device object may be created, a general information function node, a physical device information function node, a three-phase power measurement node, a disconnection control node, and a circuit breaker status management node may be added to the first logical device object, and data attributes and services of each logical node may be configured to obtain a first functional device, which is used to measure and control disconnection at an electrical connection point.

[0144] Create a second logical device object, add the general information function node, physical device information function node, distance protection function node, overcurrent protection node, overvoltage protection node and regional fault judgment node to the second logical device, configure the data attributes and services of each logical node, and obtain the second functional device, which is used to detect and report faults.

[0145] Create a third logical device object, add the general information function node, physical device information function node, distributed unit control function node, regional distributed power supply control mode qualification judgment node, grid reorganization regional control mode switching node and automatic distributed power supply regional control node to the third logical device object, configure the data attributes and services of each logical node, and obtain the third functional device, which is used to plan and control the distributed power supply of grid reconstruction. Finally, combine the first functional device, the second functional device and the third functional device to obtain the logical device model of the control terminal.

[0146] S5, determine the regulating equipment class in the power system information model as the parent class, create a subclass of the parent class, add new target attributes to the subclass according to the functional requirement data, define an enumeration class, map the attributes of the logical device model to the target attributes, and obtain the extended power system information model so that the extended power system information model corresponds to the logical device model.

[0147] S6, dispatches distributed energy resources in the grid distribution network based on the logical device model and the extended power system information model.

[0148] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0149] Based on the same inventive concept, the embodiment of the present application also provides a grid distribution network energy dispatching device for implementing the grid distribution network energy dispatching method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more grid distribution network energy dispatching device embodiments provided below can refer to the above limitations on the grid distribution network energy dispatching method, and will not be repeated here.

[0150] In an exemplary embodiment, Figure 6 As shown, a grid distribution network energy dispatching device 600 is provided, including: a data acquisition module 610, a data matching module 620, a model building module 630, a model expansion module 640 and an energy dispatching module 650, wherein:

[0151] The data acquisition module 610 is used to acquire the functional requirement data of the control terminal in the grid distribution network scenario.

[0152] The data matching module 620 is used to match a first logical node matching the functional requirement data from preset candidate logical nodes according to the functional requirement data, where the first logical node is a logical node that complies with the substation automation standard.

[0153] The model building module 630 is used to build a logical device model of the control terminal based on the first logical node.

[0154] The model extension module 640 is used to extend and adjust the classes and attributes of the pre-built power system information model according to the functional requirement data and the attributes of the logical device model, so that the extended power system information model corresponds to the logical device model.

[0155] The energy dispatching module 650 is used to dispatch distributed energy in the grid distribution network based on the logical device model and the expanded power system information model.

[0156] like Figure 7 As shown, in an exemplary embodiment, the device also includes a node expansion module 622, which is used to expand a second logical node that complies with the substation automation standard and meets the preset logical function requirements when it is determined that the first logical node does not meet the preset logical function requirements; the model construction module 630 is also used to construct a logical device model of the control terminal based on the first logical node and the second logical node.

[0157] In an exemplary embodiment, the model building module 630 is used to create a first logical device object, add a general information function node, a physical device information function node, a three-phase power measurement node, a disconnection control node, and a circuit breaker state management node to the first logical device object, configure the data attributes and services of each logical node, and obtain a first functional device, which is used to measure and control the disconnection at the electrical connection point; create a second logical device object, add a general information function node, a physical device information function node, a distance protection function node, an overcurrent protection node, an overvoltage protection node, and a regional fault judgment node to the second logical device, configure each logical node, and obtain a first functional device. The data attributes and services of the point are used to obtain the second functional device, which is used to detect and report faults; a third logical device object is created, and the general information function node, the physical device information function node, the distributed unit control function node, the regional distributed power supply control mode qualification judgment node, the grid reorganization regional control mode switching node and the automatic distributed power supply regional control node are added to the third logical device object, and the data attributes and services of each logical node are configured to obtain the third functional device, which is used to plan and control the distributed power supply of grid reconstruction; the first functional device, the second functional device and the third functional device are combined to obtain the logical device model of the control terminal.

[0158] In an exemplary embodiment, the data matching module 620 is used to determine the logic function required by the control terminal based on the function requirement data, and match a first logic node matching the logic function from preset candidate logic nodes.

[0159] In an exemplary embodiment, the model extension module 640 is also used to determine the regulating equipment class in the power system information model as a parent class, create a subclass of the parent class, add new target attributes to the subclass according to the functional requirement data, define an enumeration class, map the attributes of the logical device model to the target attributes, and obtain the expanded power system information model.

[0160] Each module in the above-mentioned grid distribution network energy dispatching device can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0161] In an exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be shown in FIG8. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data such as functional requirement data and CIM models. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a grid distribution network energy scheduling method is implemented.

[0162] Those skilled in the art will understand that the structure shown in FIG. 8 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0163] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps in any one of the above-mentioned grid distribution network energy scheduling method embodiments are implemented.

[0164] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in any one of the above-mentioned grid distribution network energy scheduling method embodiments are implemented.

[0165] In one embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, implements the steps in any one of the above-mentioned grid distribution network energy scheduling method embodiments.

[0166] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0167] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can 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 can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. 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, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0168] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0169] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A grid distribution network energy dispatching method, characterized in that: The method comprises: Obtain the functional requirement data of the control terminal in the grid distribution network scenario; According to the functional requirement data, a first logical node matching the functional requirement data is matched from preset candidate logical nodes, where the first logical node is a logical node that complies with a substation automation standard; Based on the first logical node, construct a logical device model of the control terminal; According to the functional requirement data and the attributes of the logical device model, the classes and attributes of the pre-built power system information model are expanded and adjusted so that the expanded power system information model corresponds to the logical device model; Distributed energy in a grid distribution network is dispatched based on the logical device model and the expanded power system information model.

2. The method according to claim 1, characterized in that The method further comprises: When it is determined that the first logical node does not meet the preset logical function requirements, a second logical node that meets the substation automation standard and meets the preset logical function requirements is expanded; A logical device model of the control terminal is constructed based on the first logical node and the second logical node.

3. The method according to claim 2, characterized in that: The first logic node includes at least one of a general information function node, a physical device information function node, a three-phase power measurement node, a disconnection control node, a circuit breaker state management node, a distance protection function node, an overcurrent protection node, an overvoltage protection node, and a distributed unit control function node; The second logic node includes at least one of a regional fault judgment node, a regional distributed power supply control mode qualification judgment node, a grid reorganization regional control mode switching node, and an automatic distributed power supply regional control node.

4. The method according to claim 3, characterized in that The step of constructing a logical device model of the control terminal based on the first logical node and the second logical node includes: Create a first logical device object, add the general information function node, the physical device information function node, the three-phase power measurement node, the disconnection control node, and the circuit breaker state management node to the first logical device object, configure the data attributes and services of each logical node, and obtain a first functional device, which is used to measure and control the disconnection at the electrical connection point; Create a second logical device object, add the general information function node, the physical device information function node, the distance protection function node, the overcurrent protection node, the overvoltage protection node, and the regional fault judgment node to the second logical device, configure data attributes and services of each logical node, and obtain a second functional device, which is used to detect and report faults; Create a third logical device object, add the general information function node, the physical device information function node, the distributed unit control function node, the regional distributed power supply control mode qualification judgment node, the grid reorganization regional control mode switching node and the automatic distributed power supply regional control node to the third logical device object, configure the data attributes and services of each logical node, and obtain a third functional device, which is used to plan and control the distributed power supply of grid reconstruction; The first functional device, the second functional device and the third functional device are combined to obtain a logical device model of the control terminal.

5. The method according to claim 1, characterized in that The matching a first logical node matching the functional requirement data from preset candidate logical nodes according to the functional requirement data includes: Determining the logic functions required by the control terminal based on the function requirement data; A first logical node matching the logical function is matched from preset candidate logical nodes.

6. The method according to any one of claims 1 to 5, characterized in that: The step of extending and adjusting the classes and attributes of the pre-built power system information model according to the functional requirement data and the attributes of the logical device model includes: Determine the regulating equipment class in the power system information model as a parent class, and create a subclass of the parent class; According to the functional requirement data, a new target attribute is added to the subclass to define an enumeration class; The attributes of the logical device model are mapped to the target attributes to obtain an expanded power system information model.

7. A grid distribution network energy dispatching device, characterized in that: The device comprises: A data acquisition module is used to obtain the functional requirement data of the control terminal in the grid distribution network scenario; A data matching module, configured to match a first logical node matching the functional requirement data from preset candidate logical nodes according to the functional requirement data, wherein the first logical node is a logical node that complies with a substation automation standard; A model building module, used to build a logical device model of the control terminal based on the first logical node; A model extension module, used to extend and adjust the classes and attributes of the pre-built power system information model according to the functional requirement data and the attributes of the logical device model, so that the extended power system information model corresponds to the logical device model; An energy dispatching module is used to dispatch distributed energy in a grid distribution network based on the logical device model and the expanded power system information model.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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