Method and system for modeling measurement information of integrated energy system based on cim

Abstract

The application provides a kind of comprehensive energy system measurement information modeling based on CIM, belongs to energy internet information modeling technical field;Specific scheme is: the basic measurement data and data source of comprehensive energy system are analyzed;Unified scale of the energy of each energy subsystem in comprehensive energy system is established;Unified scale of the energy of each energy subsystem is determined according to basic measurement data;CIM measurement information model is established based on basic measurement data and unified scale of the energy of each energy subsystem.The energy flow of each subsystem is represented in a consistent scale, providing a reliable basis for efficient and accurate regulation of the comprehensive energy system.The application realizes the sharing of measurement data between subsystems in a standardized form, achieving efficient situation awareness of the comprehensive energy system.The application also provides a system for comprehensive energy system measurement information modeling based on CIM, a storage medium and an electronic device.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy internet information modeling, in particular to a method and system for modeling measurement information of a comprehensive energy system based on CIM, a storage medium and an electronic device. BACKGROUND

[0002] The statements in this section merely provide background technology related to the present application and do not necessarily constitute prior art.

[0003] A multi-energy complementary comprehensive energy system realizes the comprehensive utilization of cold, heat, electricity and gas to alleviate the contradiction between the increasing energy demand and the shortage of resources. In order to uniformly dispatch and manage various types of energy, the information of each energy subsystem needs to be integrated in a full-network interconnected manner to realize the optimal distribution of energy. However, each subsystem operates independently, the data transmission forms and information models are different, and the data sharing between subsystems is not realized in a standardized form, so that the interconnection and intercommunication of data need to go through the protocol conversion of multiple devices, which cannot be quickly and flexibly configured, seriously restricting the accurate monitoring and analysis and efficient situation awareness of the comprehensive energy system. In addition, there is no unified measurement standard for the energy of each energy subsystem, so it is impossible to accurately calculate the energy exchange index and energy comprehensive utilization rate between systems, which brings great obstacles to the optimal distribution of the system. SUMMARY

[0004] In order to solve the problems of the prior art, the present application provides a method for modeling measurement information of a comprehensive energy system based on CIM (Common Information Model), which can realize the standardized collection of multi-source heterogeneous data in the comprehensive energy system and measure the energy flow of each subsystem with a unified standard, eliminate the information island between energy subsystems, and realize the information fusion and sharing of the comprehensive energy system.

[0005] In order to achieve the above purpose, the present application adopts the following technical solutions:

[0006] The first aspect of the present application provides a method for modeling measurement information of a comprehensive energy system based on CIM, comprising the following steps:

[0007] Analyzing the basic measurement data and data sources of the comprehensive energy system;

[0008] Establishing a unified scale of energy of each energy subsystem in the comprehensive energy system;

[0009] Determining the unified scale of energy of each energy subsystem according to the basic measurement data;

[0010] Establishing a CIM measurement information model based on the basic measurement data and the unified scale of energy of each energy subsystem.

[0011] Optionally, the above-mentioned integrated energy system comprises:

[0012] a power network, a natural gas network, a cooling and heating network.

[0013] Optionally, the above-mentioned basic measurement data and data sources comprise:

[0014] The voltage value and the current value in the power network are measured by a voltage transformer and a current transformer of the power network, respectively;

[0015] The gas volume flow, the pipeline pressure value and the temperature value in the natural gas network are measured by a volume flow meter, a pressure transmitter and a temperature transmitter of the natural gas network, respectively;

[0016] The volume flow of the cold and heat carrying liquid, the inlet and outlet pipeline pressure value and the inlet and outlet pipeline temperature value in the cooling and heating network are measured by a volume flow meter, a pressure transmitter and a temperature transmitter of the cooling and heating network, respectively;

[0017] The above-mentioned basic measurement data in the power network, the natural gas network and the cooling and heating network are synchronous measurement data.

[0018] Optionally, the above-mentioned establishment of the unified scale of the energy of each energy subsystem in the integrated energy system comprises:

[0019] The power is taken as the unified scale of the energy of each energy subsystem in the integrated energy system.

[0020] Optionally, the above-mentioned determination of the unified scale of the energy of each energy subsystem according to the basic measurement data comprises:

[0021] The electric power of the power network, the thermal power of the natural gas network and the thermal power of the cooling and heating network are calculated according to the basic measurement data in each energy subsystem; the power calculation is completed by a synchronous measurement unit SMU of the integrated energy system.

[0022] Optionally, the above-mentioned calculation of the electric power of the power network according to the basic measurement data in each energy subsystem comprises:

[0023] The electric power is calculated according to the sampling value data of the voltage value and the current value in the power network; the full-wave Fourier algorithm is used to calculate the voltage and current phasor; the process of the phasor calculation is completed by a phasor measurement unit or a synchronous measurement unit; if it is the phasor measurement unit, the amplitude and phase data of the voltage and current are directly collected by the synchronous measurement unit to calculate the power; the calculation is completed by the following formula:

[0024]

[0025]

[0026] wherein u(j), i(j) (j = 1, 2, 3, …, N e ) are voltage and current sample values in a sampling period before the current calculation time t, N e is the number of sampling points in a sampling period, are real and imaginary parts of the voltage fundamental phasor, are real and imaginary parts of the current fundamental phasor, U m , are amplitude and phase of the voltage, I m , are amplitude and phase of the current;

[0027] active power P e and reactive power Q e in a unified scale are as follows:

[0028]

[0029] Optionally, the above calculating the thermal power of the natural gas network according to the basic measurement data in each energy subsystem comprises:

[0030] calculating the thermal power of the natural gas network according to the volume flow sample value Q g of the natural gas flow meter and the natural gas heat release coefficient K g , G being the measured heat release of unit volume of gas in the gas pipeline network at a typical point in unit time, being a constant value in a certain time period, the thermal power of the natural gas network in a unified scale being as follows:

[0031]

[0032] wherein N g is the number of sampling points of the natural gas network in a sampling period, Q g (j) (j = 1, 2, 3, …, N g ) is the flow sample value of the natural gas thermal power calculation in a sampling period before the current time t.

[0033] Optionally, the above calculating the thermal power of the cooling network according to the basic measurement data in each energy subsystem comprises:

[0034] calculating the thermal power of the cooling network according to the volume flow sample value Q c of the cooling liquid, the inlet temperature sample value and the outlet temperature sample value and the heat coefficient K is used to calculate the heat power of the cooling network, the heat coefficient K represents the energy released by the unit volume of the cooling liquid under certain temperature and pressure conditions when the temperature decreases by one unit, and the heat power of the cooling network calculated according to the heat coefficient table is shown in the following formula:

[0035]

[0036] wherein, N c is the number of sampling points of the cooling network in a sampling period, Q c (j) (j = 1, 2, 3, … N c ) is the flow sampling value calculated by the heat power of the cooling system in a sampling period before the current time t.

[0037] Optionally, the heat power of the heating network is calculated according to the basic measurement data in each energy subsystem, comprising:

[0038] According to the volume flow sampling value Q h of the heat-carrying liquid, the inlet temperature sampling value and the outlet temperature sampling value of the heat exchange circuit, and the heat coefficient K, the heat power of the heating network is calculated, and the heat power of the heating network calculated is shown in the following formula:

[0039]

[0040] wherein, N h is the number of sampling points of the heating network in a sampling period Q h (j) (j = 1, 2, 3, … N h ) is the flow sampling value calculated by the heat power of the heating system in a sampling period before the current time t.

[0041] Optionally, the CIM measurement information model is established based on the unified scale of the basic measurement data and the energy of each energy subsystem, comprising:

[0042] According to the extension rules of CIM, the basic measurement model in the standard is extended.

[0043] Optionally, the basic measurement model in the standard is extended according to the extension rules of the CIM, comprising:

[0044] The extension of the CIM basic measurement model is divided into the extension of the measurement and the extension of the measurement value.

[0045] Optionally, the extension of the CIM basic measurement model comprises:

[0046] The established integrated energy system measurement information model IESMIM (Integrated Energy System Measurement Information Model) extends the basic measurement model of CIM.

[0047] The established integrated energy system measurement information model IESMIM describes the basic measurement data model and the calculation data model, and records the association between the calculation data model and the basic measurement.

[0048] Optionally, the established integrated energy system measurement information model IESMIM extends the basic measurement model of CIM, including:

[0049] A synchronous measurement class (SynchronousMeasurement) is defined as the base class of IECMIM, which inherits from the standard measurement class (Measurement), and is used to describe the type of measured power, the application phase, the unit multiplier, and the measurement unit.

[0050] A calculation parameter class (CalParameter) is defined to describe the calculation parameters and configurations required by the synchronous measurement, and the association between the synchronous measurement class and the calculation parameter class is one-to-one.

[0051] The second aspect of the present application provides a system for modeling integrated energy system measurement information based on CIM.

[0052] The system for modeling integrated energy system measurement information based on CIM includes:

[0053] The data processing module is configured to parse the basic measurement data and data sources of the integrated energy system.

[0054] The data unification module is configured to establish a unified scale of energy of each energy subsystem in the integrated energy system.

[0055] The data calculation module is configured to determine the unified scale of energy of each energy subsystem according to the basic measurement data.

[0056] The model generation module is configured to establish a CIM measurement information model based on the basic measurement data and the unified scale of energy of each energy subsystem.

[0057] The third aspect of the present application provides a medium having a program stored thereon, which is executed by a processor to implement the steps of the method for modeling integrated energy system measurement information based on CIM according to the first aspect of the present application.

[0058] The fourth aspect of the present application provides an electronic device, comprising a memory, a processor, and a program stored in the memory and executable on the processor, wherein the processor implements the steps in the method for modeling measurement information of a CIM-based integrated energy system according to the first aspect of the present application when executing the program.

[0059] Compared with the prior art, the present application has the following beneficial effects:

[0060] A CIM measurement information model suitable for an integrated energy system is established, energy flow of each subsystem is represented in a consistent scale, and reliable basis is provided for efficient and accurate regulation of the integrated energy system. Meanwhile, through extension of the CIM basic measurement model, measurement data sharing between subsystems is realized in a standardized form, and efficient situation awareness of the integrated energy system is realized. BRIEF DESCRIPTION OF DRAWINGS

[0061] Figure 1 A flowchart of a method for modeling measurement information of a CIM-based integrated energy system is provided for the embodiments of the present disclosure;

[0062] Figure 2 A schematic diagram of a basic measurement model is provided for the embodiments of the present disclosure;

[0063] Figure 3 Schematic diagrams of measurement extension and measurement value extension are provided for the embodiments of the present disclosure;

[0064] Figure 4 A schematic diagram of modeling in an IECMIM model using a one-way association is provided for the embodiments of the present disclosure;

[0065] Figure 5 A schematic diagram of each basic measurement value used when calculating a parameter value class and its derived classes is provided for the embodiments of the present disclosure;

[0066] Figure 6 A schematic diagram of the association between objects when using measurement results (i.e., vI1, vAi1, vU1, and vAu1) from D1 is provided for the embodiments of the present disclosure. DETAILED DESCRIPTION

[0067] It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs.

[0068] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this application. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0069] Where there is no conflict, the embodiments and features described in this application may be combined with each other.

[0070] Example 1:

[0071] like Figure 1 As shown, this disclosure provides a method for modeling measurement information of a comprehensive energy system based on CIM, including the following steps: parsing the basic measurement data and data source of the comprehensive energy system; establishing a unified scale for the energy of each energy subsystem in the comprehensive energy system; determining the unified scale for the energy of each energy subsystem based on the basic measurement data; and establishing a CIM measurement information model based on the basic measurement data and the unified scale for the energy of each energy subsystem.

[0072] In one embodiment, the above-mentioned integrated energy system includes:

[0073] Electricity networks, natural gas networks, cooling and heating networks.

[0074] In one embodiment, the aforementioned basic measurement data and data source include:

[0075] The voltage and current values ​​in the power network are measured by the voltage transformer and current transformer of the power network, respectively.

[0076] The gas volumetric flow rate, pipeline pressure, and temperature in the natural gas network are measured by the volumetric flow meter, pressure transmitter, and temperature transmitter of the natural gas network, respectively.

[0077] The volumetric flow rate of the cooling and heating liquids in the cooling and heating network, the pressure values ​​of the inlet and outlet pipes of the heat exchange loop, and the temperature values ​​of the inlet and outlet pipes of the heat exchange loop are measured by the volumetric flow meter, pressure transmitter, and temperature transmitter of the cooling and heating network, respectively.

[0078] Among them, the basic measurement data in the power network, natural gas network, and cooling and heating network are synchronous measurement data.

[0079] In one embodiment, establishing a unified scale for the energy of each energy subsystem in the integrated energy system includes:

[0080] Power is used as a unified scale for the energy of each energy subsystem in a comprehensive energy system.

[0081] In one embodiment, the above determining a unified scale of energy of each energy subsystem according to basic measurement data comprises:

[0082] According to the basic measurement data in each energy subsystem, the electric power of the power network, the thermal power of the natural gas network, and the thermal power of the cooling and heating network are calculated. The power calculation is completed by a synchronous measurement unit SMU of the integrated energy system.

[0083] In one embodiment, the above calculating the electric power of the power network according to the basic measurement data in each energy subsystem comprises:

[0084] According to the sampling value data of the voltage value and the current value in the power network, the electric power is calculated. The voltage and current phasors are calculated by using a full-wave Fourier algorithm. The process of phasor calculation is completed by a phasor measurement unit or a synchronous measurement unit. If it is a phasor measurement unit, the voltage and current amplitude and phase data are directly collected by the synchronous measurement unit to calculate the power, which is completed by the following formula:

[0085]

[0086]

[0087] wherein u(j), i(j) (j=1, 2, 3, …, N e ) are the voltage and current sampling values in a sampling period before the current calculation time t, N e is the number of sampling points in a sampling period, are the real part and the imaginary part of the voltage fundamental phasor, are the real part and the imaginary part of the current fundamental phasor, U m , are the amplitude and the phase of the voltage, I m , are the amplitude and the phase of the current;

[0088] The active power P e and the reactive power Q e under the unified scale are as shown in the following formula:

[0089]

[0090] In one embodiment, the above calculating the thermal power of the natural gas network according to the basic measurement data in each energy subsystem comprises:

[0091] According to the volume flow sampling value Q g of the natural gas flow meter and the natural gas heat release coefficient K gThe heat power of the natural gas network is calculated, G is the measured heat generation of the gas per unit volume at a typical point in the gas pipeline network per unit time, which is a constant value in a certain period of time, and the heat power of the natural gas network in a unified scale is shown in the following formula:

[0092]

[0093] Wherein, N g is the number of sampling points of the natural gas network in a sampling period, Q g (j) (j = 1, 2, 3, … N g ) is the flow sampling value of the natural gas heat power calculation in a sampling period before the current time t.

[0094] In one embodiment, the heat power of the cooling network is calculated according to the basic measurement data in each energy subsystem, including:

[0095] The heat power of the cooling network is calculated according to the volume flow sampling value Q c , the inlet temperature sampling value and the outlet temperature sampling value of the heat exchange circuit, and the heat coefficient K, which represents the energy released by unit volume of the cooling liquid under certain temperature and pressure conditions when the temperature decreases by unit temperature. According to the heat coefficient table, the calculated heat power of the cooling network is shown in the following formula:

[0096]

[0097] Wherein, N c is the number of sampling points of the cooling network in a sampling period, Q c (j) (j = 1, 2, 3, … N c ) is the flow sampling value of the cooling network heat power calculation in a sampling period before the current time t.

[0098] In one embodiment, the heat power of the heating network is calculated according to the basic measurement data in each energy subsystem, including:

[0099] The heat power of the heating network is calculated according to the volume flow sampling value Q h , the inlet temperature sampling value and the outlet temperature sampling value of the heat exchange circuit, and the heat coefficient K, and the calculated heat power of the heating network is shown in the following formula:

[0100]

[0101] Wherein, N h is the number of sampling points of the heating network in a sampling period Qh (j = 1, 2, 3, …N h ) is a heat flow sampling value of the heat supply system in a sampling period before the current time t.

[0102] In one embodiment, the CIM measurement information model is established based on the basic measurement data and the unified scale of energy of each energy subsystem, and includes:

[0103] According to the extension rule of the CIM, the basic measurement model in the standard is extended.

[0104] In one specific embodiment, the basic measurement model is as shown in the accompanying Figure 2 .

[0105] In one embodiment, the extension of the basic measurement model of the CIM includes:

[0106] The extension of the CIM basic measurement model is divided into the extension of the measurement and the extension of the measurement value.

[0107] In one embodiment, the extension of the CIM basic measurement model includes:

[0108] The established integrated energy system measurement information model IESMIM (Integrated Energy System Measurement Information Model) extends the CIM basic measurement model;

[0109] The established integrated energy system measurement information model IESMIM describes the basic measurement data model and the calculation data model, and records the association between the calculation data model and the basic measurement.

[0110] In one embodiment, the extension of the CIM basic measurement model by the established integrated energy system measurement information model IESMIM includes:

[0111] The synchronous measurement class (SynchronousMeasurement) is defined as the base class of the IECMIM, which inherits from the standard measurement class (Measurement), and is used to describe the type of measurement power, the application phase, the unit multiplier, and the measurement unit.

[0112] The calculation parameter class (CalParameter) is defined to describe the calculation parameters and configurations required by the synchronous measurement, and the association between the synchronous measurement class and the defined calculation parameter class is one-to-one.

[0113] In one embodiment, the extension of the CIM base measurement model by IESMIM is divided into two parts: the extension of measurements and the extension of measurement values, as shown in Fig. 1. Figure 3 Table 1 illustrates the specific meaning of the extended classes. The SynchronousMeasurement class is defined as the base class of IECMIM, which inherits from the Measurement class, and is used to describe the type of measurement power, the application phase, the unit multiplier, and the measurement unit. The CalParameter class is defined to describe the calculation parameters and configurations required by the synchronous measurement. A synchronous measurement object must have and only have one corresponding calculation parameter object, and the association between the synchronous measurement class and the calculation parameter class is one-to-one. On the basis of the synchronous measurement class and the calculation parameter class, the specific measurement class and the calculation parameter class are derived: the electric power network measurement and the calculation of electric power parameters, the natural gas network measurement and the calculation of natural gas power parameters, and the cooling / heating network measurement and the calculation of cooling / heating power parameters, wherein the cooling network and the heating network use the same class to establish objects.

[0114] Table 1 illustrates the specific meaning of the extended classes. The SynchronousMeasurement class is defined as the base class of IECMIM, which inherits from the Measurement class, and is used to describe the type of measurement power, the application phase, the unit multiplier, and the measurement unit. The CalParameter class is defined to describe the calculation parameters and configurations required by the synchronous measurement. A synchronous measurement object must have and only have one corresponding calculation parameter object, and the association between the synchronous measurement class and the calculation parameter class is one-to-one. On the basis of the synchronous measurement class and the calculation parameter class, the specific measurement class and the calculation parameter class are derived: the electric power network measurement and the calculation of electric power parameters, the natural gas network measurement and the calculation of natural gas power parameters, and the cooling / heating network measurement and the calculation of cooling / heating power parameters, wherein the cooling network and the heating network use the same class to establish objects.

[0115]

[0116] The CalParameter class and its derived classes describe the basic measurements and configuration parameters used in the calculation of the class data, which are embodied as the attributes of the derived classes. The used basic measurements are established by the CIM object of the Analog class, and the value of the attribute MeasurementType is shown in Table 2. In the IECMIM model, a one-way association is used for modeling, as shown in Fig. 2. Among them, the electric power calculation uses four basic measurements, and the newly created attributes are: the voltage amplitude CalUm, the voltage phase angle CalAngU, the current amplitude CalIm, and the current phase angle CalAngI; the natural gas power calculation uses one basic measurement and two configuration parameters, and the newly created attributes are: the natural gas network volume flow sampling value CalQg, the natural gas heat quantity coefficient CalG, and the number of natural gas network sampling values CalNg; the cooling network and the heating network are modeled uniformly, and the power calculation needs to use three basic measurements and two configuration parameters, and the newly created attributes are: the cooling / heating network volume flow sampling value CalQh, the inlet temperature CalT1 and the outlet temperature CalT2 of the heat exchange loop, the heat coefficient CalK, and the number of cooling / heating network sampling values CalNh. Figure 4

[0117] Table 2 MeasurementType value and its meaning

[0118] ​

[0119] IECMIM model also extends the basic measurement value classes. Corresponding to synchronous measurement, SynchronousMeasurementValue class is derived from MeasurementValue class as the base class of all IECMIM measurement value classes. In addition to inheriting all the attributes of MeasurementValue class, a new Value attribute is added to describe real-time measurement values. At the same time, CalParameterValue class is defined to record the association between each synchronous measurement value and each basic measurement value. The existence of CalParameterValue class can more conveniently adapt to the case of multiple measurement sources. When a measurement has multiple data sources providing data, the data source can be selected by configuring the object of the CalParameterValue (specific derived class). On the basis of SynchronousMeasurementValue class and CalParameterValue class, specific synchronous measurement value classes and calculation parameter value classes are derived: power network measurement value and calculation power value, natural gas network measurement value and calculation natural gas power value, cooling / heating network measurement value and calculation cooling / heating power value.

[0120] Appendix Figure 5 Each basic measurement value used by the calculation parameter value class and its derived classes when calculating is described. A one-way association modeling method is adopted, that is, only the association of the calculation parameter value to the basic measurement value is established, and the association of the basic measurement value to the calculation parameter value is not extended. Among them, the electric power calculation value uses four basic measurement values, and new attributes are created respectively: voltage amplitude CalUmValue, voltage phase angle CalAngUValue, current amplitude CalImValue, and current phase angle CalAngIValue; the natural gas power calculation uses one basic measurement value, and a new attribute CalQgValue is created; the cooling network and heating network are modeled uniformly, and three basic measurement values are needed to calculate the power value, and new attributes are created respectively: cooling / heating network volume flow sampling value CalQhValue, heat exchange circuit inlet temperature CalT1Value, and outlet temperature CalT2Value. The basic measurement values used are established by CIM objects of the AnalogValue class, and the specific measurement values are described by the value attribute.

[0121] In addition, a SensorSource class is newly created, which inherits from the MeasurementValueSource class, for describing the sensor data source of the measurement value, and the SensorSourceType attribute is used to describe it, and the value is as shown in Table 2. The SMU measurement obtains the calculation power value, so a SMU class is newly created, which inherits from the RemoteUnit class, for describing the source of the calculation power value.

[0122] In an embodiment taking the modeling of power network information in a comprehensive energy system as an example, the specific embodiments of the present application are further described. Two sets of phasor measurement units D1 and D2 are provided to measure the voltage and current at a certain place, and the terminal for calculating the electric power is S1. The process of establishing the CIM information model of the basic measurement data of the power network and the active power is as follows:

[0123] First, the basic measurement data and data sources of the power network are analyzed, including the voltage instantaneous value and the current instantaneous value in the power network, which are respectively from the voltage transformer and the current transformer of the power network.

[0124] Second, the electric power is calculated according to the sampling value data of the voltage and the current. The full-wave Fourier algorithm is used to calculate the voltage and current phasor, and the process of phasor calculation is completed by the phasor measurement unit. The following formula is used:

[0125]

[0126]

[0127] The active power P under the unified scale is e As shown in the following formula, the power calculation is completed by the comprehensive terminal unit of the comprehensive energy system.

[0128]

[0129] Further, the CIM object is established as shown in Table 3.

[0130] Table 3. Explanation of the object of the power network information model in the IECMIM

[0131]

[0132]

[0133] If the measurement results from D1 (i.e. vI1, vAi1, vU1 and vAu1) are used, the association between the objects is as shown in the following figure: Figure 6 According to the model and the electric power calculation formula, the calculation method of the active power vP1 is as follows:

[0134] vP1.value=pvP1.CalUmVlaue*pvP1.CalImVlaue*cos(pvP1.CalAngUVlaue-pvP1.CalAngIVlaue).

[0135] Embodiment 3

[0136] The embodiments of the present disclosure provide a system for modeling measurement information of a comprehensive energy system based on CIM, which comprises:

[0137] The data processing module is configured to parse basic measurement data and data sources of the integrated energy system.

[0138] The data unification module is configured to establish a unified scale of energy of each energy subsystem in the integrated energy system.

[0139] The data calculation module is configured to determine the unified scale of energy of each energy subsystem according to the basic measurement data.

[0140] The model generation module is configured to establish a CIM measurement information model based on the basic measurement data and the unified scale of energy of each energy subsystem.

[0141] The working method of the system is the same as the method of CIM-based integrated energy system measurement information modeling provided in each of the above embodiments, and will not be repeated here.

[0142] Embodiment 4:

[0143] The embodiments of the present disclosure provide a storage medium having a program stored thereon, which, when executed by a processor, implements the steps in the method of CIM-based integrated energy system measurement information modeling provided in each of the above embodiments, including:

[0144] The basic measurement data and data sources of the integrated energy system are parsed.

[0145] The unified scale of energy of each energy subsystem in the integrated energy system is established.

[0146] The unified scale of energy of each energy subsystem is determined according to the basic measurement data.

[0147] The CIM measurement information model is established based on the basic measurement data and the unified scale of energy of each energy subsystem.

[0148] The detailed steps of the method implemented by the above program are the same as the method of CIM-based integrated energy system measurement information modeling provided in each of the above embodiments, and will not be repeated here.

[0149] Embodiment 5:

[0150] The embodiments of the present disclosure provide an electronic device, including a memory, a processor, and a program stored on the memory and executable on the processor, wherein the processor implements the steps in the method of CIM-based integrated energy system measurement information modeling provided in each of the above embodiments when executing the program, including:

[0151] The basic measurement data and data sources of the integrated energy system are parsed.

[0152] The unified scale of energy of each energy subsystem in the integrated energy system is established.

[0153] determining a unified scale of energy of each energy subsystem according to the basic measurement data;

[0154] establishing a CIM measurement information model based on the basic measurement data and the unified scale of energy of each energy subsystem.

[0155] The detailed steps of the method implemented by the above program are the same as the method of modeling the measurement information of the integrated energy system based on CIM provided by each of the above embodiments, and will not be described here.

[0156] Those skilled in the art should understand that the embodiments disclosed in the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage, etc.) containing computer-usable program code.

[0157] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present disclosure. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing apparatus to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing apparatus produce a device that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus that performs the functions specified in one or more blocks.

[0158] These computer program instructions can also be stored in a computer-readable memory that can direct the computer or other programmable data processing apparatus to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including instruction apparatus, which implements the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus that performs the functions specified in one or more blocks.

[0159] These computer program instructions can also be loaded into a computer or other programmable data processing apparatus, so that a series of operation steps are performed on the computer or other programmable data processing apparatus to produce a computer-implemented process, so that the instructions executed on the computer or other programmable data processing apparatus provide a process for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus that performs the functions specified in one or more blocks.

[0160] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing relevant hardware, and the program can be stored in a computer readable storage medium. When the program is executed, the program can include the processes of the above-mentioned embodiment methods. The storage medium can be a magnetic disc, an optical disc, a read-only memory (ROM), a random access memory (RAM), or the like.

[0161] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. Those skilled in the art can make various modifications and changes to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for modeling integrated energy system measurement information based on CIM, characterized in that, Includes the following steps: Analyze the basic measurement data and data sources of the integrated energy system; A unified scale for the energy of each energy subsystem in the integrated energy system is established, with power as the unified scale for the energy of each energy subsystem in the integrated energy system; A unified scale for the energy of each energy subsystem is determined based on the aforementioned basic measurement data; Based on the aforementioned basic measurement data and the unified scale of energy in each energy subsystem, a comprehensive energy system measurement information model is established, including: extending the basic measurement model in the standard according to the CIM extension rules, including the extension of measurements and the extension of measurement values, and further including: Define a synchronous measurement class as the base class of the integrated energy system measurement information model. It inherits from the standard measurement class and is used to describe the type of measured power, the applied phase, the unit multiplier, and the measurement unit. Define a calculation parameter class to describe the calculation parameters and configuration required for synchronous measurement. There is a one-to-one association between the synchronous measurement class and the calculation parameter class. Based on the synchronous measurement class and the calculation parameter class, specific measurement classes and calculation parameter classes are derived: power network measurement and calculation of electric power parameters, natural gas network measurement and calculation of natural gas power parameters, and cooling / heating network measurement and calculation of cooling / heating power parameters. Among them, the cooling network and the heating network use the same class to create objects. The integrated energy system measurement information model has also extended the basic measurement value class, deriving a synchronous measurement value class from it. This synchronous measurement value class serves as the base class for all measurement value classes in the integrated energy system measurement information model. In addition to inheriting all attributes from the measurement value class, it adds a new `Value` attribute to describe real-time measurement values. Simultaneously, a calculated parameter value class is defined to record the association between each synchronous measurement value and each basic measurement value. When a measurement has multiple data sources, the data source is selected through configuration using the calculated parameter value class, i.e., an object of a specific derived class. Based on the synchronous measurement value class and the calculated parameter value class, specific synchronous measurement value classes and calculated parameter value classes are derived: power network measurement values ​​and calculated power values, natural gas network measurement values ​​and calculated natural gas power values, and cooling / heating network measurement values ​​and calculated cooling / heating power values. The basic measurements used in the calculation of the parameter value class and its derived classes are modeled using a one-way association method. Only the association between the calculated parameter value and the basic measurement value is established, without extending the association between the basic measurement value and the calculated parameter value. Specifically, the electric power calculation uses four basic measurements, with newly created attributes of voltage amplitude, voltage phase angle, current amplitude, and current phase. The natural gas power calculation uses one basic measurement, with a newly created attribute of natural gas network volumetric flow rate sampling value. The cooling network and heating network are modeled uniformly, and their calculated power values ​​require three basic measurements, with newly created attributes of cooling / heating network volumetric flow rate sampling value, and inlet and outlet temperatures of the heat exchange loop. The basic measurements used are created as CIM objects by the AnalogValue class, with the value attribute describing the specific measurement value.

2. The method for modeling integrated energy system measurement information based on CIM as described in claim 1, characterized in that, The integrated energy system includes: Electricity networks, natural gas networks, cooling and heating networks.

3. The method for modeling integrated energy system measurement information based on CIM as described in claim 2, characterized in that, The basic measurement data and data sources include: The voltage and current values ​​in the power network are measured by the voltage transformer and current transformer of the power network, respectively. The gas volumetric flow rate, pipeline pressure, and temperature in the natural gas network are measured by the volumetric flow meter, pressure transmitter, and temperature transmitter of the natural gas network, respectively. The volumetric flow rate of the cooling and heating liquids in the cooling and heating network, the pressure values ​​of the inlet and outlet pipes of the heat exchange circuit, and the temperature values ​​of the inlet and outlet pipes of the heat exchange circuit are measured by the volumetric flow meter, pressure transmitter, and temperature transmitter of the cooling and heating network, respectively. The basic measurement data in the power network, the natural gas network, and the cooling and heating network are synchronous measurement data.

4. The method for modeling integrated energy system measurement information based on CIM as described in claim 1, characterized in that, The determination of a unified scale for the energy of each energy subsystem based on the aforementioned basic measurement data includes: The electrical power of the power network, the thermal power of the natural gas network, and the thermal power of the cooling and heating networks are calculated based on the basic measurement data in each energy subsystem; the power calculation is completed by the synchronous measurement unit (SMU) of the integrated energy system.

5. The method for modeling integrated energy system measurement information based on CIM as described in claim 4, characterized in that, The calculation of the power grid's electrical power based on the basic measurement data from each energy subsystem includes: The power is calculated based on the sampled voltage and current values ​​in the power network. The voltage and current phasors are calculated using the full-wave Fourier algorithm. The phasor calculation is performed by either a phasor measurement unit or a synchronous measurement unit. If a phasor measurement unit is used, the synchronous measurement unit directly acquires the voltage and current amplitude and phase data to calculate the power, using the following formula: Where u(j) and i(j) are the voltage and current sample values ​​in the sampling period before the current calculation time t, respectively, j = 1, 2, 3, ..., N e N e The number of sampling points within one sampling period. These are the real and imaginary parts of the voltage fundamental phasor, respectively. These are the real and imaginary parts of the fundamental phasor of the current, U. m , These represent the voltage amplitude and phase, I. m , These represent the amplitude and phase of the current, respectively. The active power P under the unified scale e and reactive power Q e As shown in the following formula: 。 6. The method for modeling integrated energy system measurement information based on CIM as described in claim 4, characterized in that, The calculation of the thermal power of the natural gas network based on the basic measurement data of each energy subsystem includes: Based on the volumetric flow rate sampling value Q of the natural gas flow meter g and the calorific value K of natural gas g The thermal power of the natural gas network is calculated, where G is the measured calorific value of a unit volume of gas at a typical point in the gas pipeline network per unit time, which is a constant over a certain time period. The thermal power of the natural gas network under the unified scale is shown in the following formula: Where, N g Q represents the number of sampling points in the natural gas network within one sampling period. g (j) represents the flow rate sample value within one sampling period prior to the current time t for calculating the thermal power of the natural gas, where j = 1, 2, 3, ..., N. g .

7. The method for modeling integrated energy system measurement information based on CIM as described in claim 4, characterized in that, The calculation of the thermal power of the cooling network based on the basic measurement data of each energy subsystem includes: Based on the volumetric flow rate sampling value Q of the coolant c Inlet temperature sampling value of heat exchange circuit With outlet temperature sampling value The thermal power of the cooling network is calculated using the thermal coefficient K, which represents the energy released per unit volume of cooling liquid under certain temperature and pressure conditions due to a unit temperature decrease. According to the thermal coefficient table, the calculated thermal power of the cooling network is shown in the following formula: Where, N c Q represents the number of sampling points in the cooling network within one sampling period. c (j) represents the flow rate sample value within one sampling period before the current time t for calculating the thermal power of the cooling network, where j = 1, 2, 3, ..., N. c .

8. The method for modeling integrated energy system measurement information based on CIM as described in claim 4, characterized in that, The calculation of the thermal power of the heating network based on the basic measurement data of each energy subsystem includes: Based on the volumetric flow rate sampling value Q of the heat transfer fluid h Inlet temperature sampling value of heat exchange circuit With outlet temperature sampling value The thermal power of the heating network is calculated using the thermal coefficient K, and the calculated thermal power of the heating network is shown in the following formula: Where, N h Q represents the number of sampling points in the heating network within one sampling period. h (j) represents the flow rate sample value of the heating system in the sampling period before the current time t, where j = 1, 2, 3, ..., N. h .

9. The method for modeling integrated energy system measurement information based on CIM as described in any one of claims 1 to 8, characterized in that, The establishment of a CIM measurement information model based on the basic measurement data and the unified scaling of the energy of each energy subsystem includes: Based on the CIM extension rules, the basic measurement model in the standard is extended.

10. The method for modeling integrated energy system measurement information based on CIM as described in claim 9, characterized in that, The extension of the basic measurement model in the standard according to the CIM extension rules includes: The extension of the CIM basic measurement model is divided into the extension of measurement and the extension of measurement values.

11. The method for modeling integrated energy system measurement information based on CIM as described in claim 10, characterized in that, The extension of the CIM basic measurement model includes: The Integrated Energy System Measurement Information Model (IESMIM) extends the basic CIM measurement model. The established Integrated Energy System Measurement Information Model (IESMIM) describes the basic measurement data model and its computational data model, and records the correlation between the computational data model and the basic measurements.

12. The method for modeling integrated energy system measurement information based on CIM as described in claim 11, characterized in that, The established Integrated Energy System Measurement Information Model (IESMIM) extends the basic CIM measurement model, including: Define a synchronous measurement class as the base class of the IECMIM. The synchronous measurement class inherits from the standard measurement class and is used to describe the type of measured power, the applied phase, the unit multiplier, and the measurement unit. Define a calculation parameter class to describe the calculation parameters and configurations required for the synchronous measurement; there is a one-to-one association between the defined synchronous measurement class and the defined calculation parameter class.

13. A system for modeling integrated energy system measurement information based on CIM, characterized in that, A system for modeling integrated energy system measurement information based on CIM includes: The data processing module is configured to: parse the basic measurement data and data sources of the integrated energy system; The data unification module is configured to: establish a unified scale for the energy of each energy subsystem in the integrated energy system, using power as the unified scale for the energy of each energy subsystem in the integrated energy system; The data calculation module is configured to: determine a unified scale for the energy of each energy subsystem based on the basic measurement data; The model generation module is configured to: establish a comprehensive energy system measurement information model based on the basic measurement data and the unified scale of the energy of each energy subsystem, including: extending the basic measurement model in the standard according to the extension rules of the CIM, including the extension of measurement and the extension of measurement values, and further including: Define a synchronous measurement class as the base class of the Integrated Energy System Measurement Information Model (IECMIM), which inherits from the standard measurement class. It is used to describe the type of measured power, the applied phase, the unit multiplier, and the measurement unit. Define a calculation parameter class to describe the calculation parameters and configuration required for synchronous measurement. There is a one-to-one association between the synchronous measurement class and the calculation parameter class. Based on the synchronous measurement class and the calculation parameter class, specific measurement classes and calculation parameter classes are derived: power network measurement and calculation of electric power parameters, natural gas network measurement and calculation of natural gas power parameters, and cooling / heating network measurement and calculation of cooling / heating power parameters. Among them, the cooling network and the heating network use the same class to create objects. The integrated energy system measurement information model has also extended the basic measurement value class, deriving a synchronous measurement value class from it. This synchronous measurement value class serves as the base class for all measurement value classes in the integrated energy system measurement information model. In addition to inheriting all attributes from the measurement value class, it adds a new `Value` attribute to describe real-time measurement values. Simultaneously, a calculated parameter value class is defined to record the association between each synchronous measurement value and each basic measurement value. When a measurement has multiple data sources, the data source is selected through configuration using the calculated parameter value class, i.e., an object of a specific derived class. Based on the synchronous measurement value class and the calculated parameter value class, specific synchronous measurement value classes and calculated parameter value classes are derived: power network measurement values ​​and calculated power values, natural gas network measurement values ​​and calculated natural gas power values, and cooling / heating network measurement values ​​and calculated cooling / heating power values. The basic measurements used in the calculation of the parameter value class and its derived classes are modeled using a one-way association method. Only the association between the calculated parameter value and the basic measurement value is established, without extending the association between the basic measurement value and the calculated parameter value. Specifically, the electric power calculation uses four basic measurements, with newly created attributes of voltage amplitude, voltage phase angle, current amplitude, and current phase. The natural gas power calculation uses one basic measurement, with a newly created attribute of natural gas network volumetric flow rate sampling value. The cooling network and heating network are modeled uniformly, and their calculated power values ​​require three basic measurements, with newly created attributes of cooling / heating network volumetric flow rate sampling value, and inlet and outlet temperatures of the heat exchange loop. The basic measurements used are created as CIM objects by the AnalogValue class, with the value attribute describing the specific measurement value.

14. A storage medium having a program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps in the method for modeling integrated energy system measurement information based on CIM as described in any one of claims 1-12.

15. An electronic device comprising a memory, a processor, and a program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps in the method for modeling integrated energy system measurement information based on CIM as described in any one of claims 1-12.

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