CN116430749A

CN116430749A - Simulation test method and device for power monitoring system, medium and electronic equipment

Info

Publication number: CN116430749A
Application number: CN202210014258.1A
Authority: CN
Inventors: 马成铖; 刘江; 权玲; 刘山; 李弘�
Original assignee: CRSC Research and Design Institute Group Co Ltd
Current assignee: CRSC Research and Design Institute Group Co Ltd
Priority date: 2022-01-04
Filing date: 2022-01-04
Publication date: 2023-07-14

Abstract

The embodiment of the application discloses a simulation test method, a simulation test device, a simulation test medium and electronic equipment for a power monitoring system. The method comprises the following steps: acquiring simulation configuration information of the power equipment; wherein the power equipment simulation configuration information includes: a platform identifier to be simulated and a state of equipment to be simulated; determining a target equipment simulation model in the candidate equipment simulation models according to the platform identification to be simulated and the power equipment configuration information of the platform to be simulated; the candidate equipment simulation model is constructed according to the association relation between the dimensions of the corresponding power data of the candidate power equipment; and generating electric power simulation data through the target equipment simulation model according to the state of the equipment to be simulated, and performing simulation test on the electric power monitoring system based on the electric power simulation data. By executing the technical scheme, the authenticity of the power simulation data is ensured, so that the accuracy of the simulation test of the power monitoring system is improved.

Description

Simulation test method and device for power monitoring system, medium and electronic equipment

Technical Field

The embodiment of the application relates to the technical field of computer application, in particular to a simulation test method, a simulation test device, a simulation test medium and electronic equipment for an electric power monitoring system.

Background

Along with the high-speed development of urban rail transit in China, trams also become an important development trend. The electric power monitoring system of the tram is used as an important component for ensuring safe and reliable operation of the tram, and can be formally put into use only after the electric power monitoring system of the tram is subjected to full simulation test and reaches the standard.

At present, when the simulation test is performed on the power monitoring system in the rail transit field, the simulation test of the power monitoring system is realized by generating power equipment simulation data in a manual number setting or random number setting mode. However, the simulation of the equipment simulation data generated by the mode to the on-site power equipment is not perfect enough, the association relation between the power data of the same power equipment is lost, and the data authenticity is not enough, so that the simulation test method of the power monitoring system generally has the problem of low test accuracy.

Disclosure of Invention

The embodiment of the application provides a simulation test method, a simulation test device, a simulation test medium and electronic equipment for a power monitoring system, which achieve the aim of improving the simulation test accuracy of the power monitoring system by utilizing more objective and real power simulation data to perform simulation test on the power monitoring system.

In a first aspect, an embodiment of the present application provides a simulation test method for a power monitoring system, where the method includes:

acquiring simulation configuration information of the power equipment; wherein the power equipment simulation configuration information includes: a platform identifier to be simulated and a state of equipment to be simulated;

determining a target equipment simulation model in the candidate equipment simulation models according to the platform identification to be simulated and the power equipment configuration information of the platform to be simulated; the candidate equipment simulation model is constructed according to the association relation between the dimensions of the corresponding power data of the candidate power equipment;

and generating electric power simulation data through the target equipment simulation model according to the state of the equipment to be simulated, and performing simulation test on the electric power monitoring system based on the electric power simulation data.

In a second aspect, an embodiment of the present application provides a simulation test apparatus for a power monitoring system, where the apparatus includes:

the power equipment simulation configuration information acquisition module is used for acquiring power equipment simulation configuration information; wherein the power equipment simulation configuration information includes: a platform identifier to be simulated and a state of equipment to be simulated;

the target equipment simulation model determining module is used for determining a target equipment simulation model in the candidate equipment simulation models according to the platform identification to be simulated and the power equipment configuration information of the platform to be simulated; the candidate equipment simulation model is constructed according to the association relation between the dimensions of the corresponding power data of the candidate power equipment;

And the simulation test module is used for generating electric power simulation data through the target equipment simulation model according to the state of the equipment to be simulated, and performing simulation test on the electric power monitoring system based on the electric power simulation data.

In a third aspect, embodiments of the present application provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a power monitoring system simulation test method as described in embodiments of the present application.

In a fourth aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and capable of being executed by the processor, where the processor executes the computer program to implement a power monitoring system simulation test method according to an embodiment of the present application.

According to the technical scheme provided by the embodiment of the application, the simulation configuration information of the power equipment is obtained; wherein the power equipment simulation configuration information includes: a platform identifier to be simulated and a state of equipment to be simulated; determining a target equipment simulation model in the candidate equipment simulation models according to the platform identification to be simulated and the power equipment configuration information of the platform to be simulated; according to the state of the equipment to be simulated, generating electric power simulation data through the target equipment simulation model, considering the association relation between the dimensions of the electric power data, guaranteeing the authenticity of the electric power simulation data, performing simulation test on the electric power monitoring system based on the electric power simulation data, guaranteeing the accuracy of the simulation test of the electric power monitoring system, and further guaranteeing the operation safety of the tramcar.

Drawings

Fig. 1 is a flowchart of a simulation test method of a power monitoring system according to an embodiment of the present application;

FIG. 2 is a flowchart of another simulation test method for a power monitoring system according to a second embodiment of the present disclosure;

FIG. 3 is a flow chart of yet another simulation test method for a power monitoring system according to a third embodiment of the present application;

fig. 4 is a schematic structural diagram of a simulation test device for a power monitoring system according to a fourth embodiment of the present application;

fig. 5 is a schematic structural diagram of an electronic device according to a sixth embodiment of the present application.

Detailed Description

The present application is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the application and not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present application are shown in the drawings.

Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart depicts steps as a sequential process, many of the steps may be implemented in parallel, concurrently, or with other steps. Furthermore, the order of the steps may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figures. The processes may correspond to methods, functions, procedures, subroutines, and the like.

Example 1

Fig. 1 is a flowchart of a simulation test method for an electric power monitoring system according to an embodiment of the present application, where the embodiment is applicable to a simulation test for an electric power monitoring system in the field of rail transit, and a performance condition of the electric power monitoring system is tested. The method can be executed by the simulation test device of the power monitoring system, which is provided by the embodiment of the application, can be realized by software and/or hardware, and can be integrated in the electronic equipment running the system.

As shown in fig. 1, the simulation test method of the power monitoring system includes:

s110, acquiring simulation configuration information of the power equipment; wherein the power equipment simulation configuration information includes: station identification to be simulated and equipment state to be simulated.

The power equipment simulation configuration information is configuration information which needs to be input to the power equipment simulation system when the power equipment simulation system is used for performing performance simulation on the power monitoring system. The power equipment simulation system is a system for running the simulation test method of the power monitoring system. The power monitoring system is used for monitoring the operation condition of a power system formed by the power equipment,

Optionally, the power monitoring system is a power monitoring system of a tramcar, and the power monitoring system is a SCADA (Supervisory Control and Data Acquisition, data acquisition and monitoring control) system. In the rail transit field of tramcar belonged to, power equipment can produce the influence to the power system of platform, energy storage train whether can normally charge by power equipment trouble, and the power monitoring system of tramcar can be through carrying out real-time supervision to the power system of platform, in time monitors the unusual of station power system, fixes a position the power equipment that takes place unusual.

Optionally, the power monitoring system is subjected to simulation test by taking the platform as a simulation unit. Correspondingly, the power equipment simulation configuration information comprises: station identification to be simulated and equipment state to be simulated. The station identification to be simulated refers to identification information of the station to be simulated. The station to be simulated can be uniquely determined according to the station to be simulated identification, wherein the station to be simulated refers to the station needing to be simulated. The state of the equipment to be simulated refers to the running state of the power system in the simulation platform. And simulating various power system operation conditions according to the state of the equipment to be simulated.

The power equipment simulation configuration information is obtained, specifically, the power equipment simulation configuration information input by a user can be obtained through a client of the power equipment simulation system.

S120, determining a target equipment simulation model in the candidate equipment simulation models according to the platform identification to be simulated and the power equipment configuration information of the platform to be simulated; the candidate equipment simulation model is constructed according to the association relation between the dimensions of the corresponding power data of the candidate power equipment.

The station to be simulated refers to a station represented by a station identifier to be simulated. The power equipment configuration information of the station to be simulated refers to the configuration situation of the power equipment in the station to be simulated. The power equipment configuration information of the station to be simulated is preconfigured in the power equipment simulation system by the relevant technicians. Stations recorded in the power equipment simulation system all exist, and power equipment configuration information is associated with the stations.

Alternatively, the power device configuration information of the station may be a key pair composed of a station identification and a power device identification. Specifically, according to the station code record of the power equipment, the station to which the power equipment belongs is determined, and a key value pair is constructed by using the station identifier and the power equipment identifier. In case of known power equipment configuration information of the station, the power equipment identification associated with the station can be determined according to the station identification to be simulated.

The power device identification is information for distinguishing different power devices, and a target device simulation model is determined in the candidate device simulation models according to the power device identification. The target equipment simulation model is a power equipment simulation model corresponding to the power equipment identifier. The target equipment simulation model is generated in candidate equipment models, wherein the candidate equipment models are power equipment simulation models constructed by a related technician according to the actual operation condition of the power equipment by using a mathematical method.

Optionally, the candidate device simulation model is a power device simulation model constructed according to an association relationship between corresponding power data dimensions of the candidate power device. The power data dimension refers to an electrical dimension of the power device, and exemplary power data dimensions may be electrical dimensions such as current, voltage, and power. The power data dimension of the power device may be determined according to a power device technology parameter table, where the power device technology parameter table refers to a power device usage instruction provided by the power device manufacturer.

Alternatively, the power equipment technical parameter table may be preconfigured in the power equipment simulation system together with the power equipment configuration information of the power equipment identification constituting the station.

Each power equipment recorded in the power equipment simulation system has a corresponding power equipment simulation model, and optionally, the power equipment and the power equipment simulation model are in a one-to-one relationship.

S130, generating electric power simulation data through the target equipment simulation model according to the state of the equipment to be simulated, and performing simulation test on the electric power monitoring system based on the electric power simulation data.

In general, at least two kinds of power equipment are generally configured in a station to be simulated, and the power equipment configured in the station to be simulated together form a power system. And the power simulation equipment model corresponding to the power equipment configured at the platform to be simulated is a target equipment simulation model. The type and number of the target device simulation models are associated with the type and number of the power devices in the station to be simulated, and the number of the target device simulation models is at least one. The power system operation state of the platform to be simulated can be determined according to the state of the equipment to be simulated, and specifically, power data generated by the operation of the power equipment in the state of the equipment to be simulated are output through the target equipment simulation model, so that the power simulation data are obtained.

And performing simulation test on the power monitoring system by using the power simulation data, specifically, monitoring the power simulation data by using the power monitoring system, receiving the power simulation data sent by the power equipment simulation system in real time, analyzing the power simulation data, and realizing the simulation test on the reliability and stability of the power monitoring system.

Optionally, the power equipment simulation system provided by the embodiment of the application is integrated with a communication module based on multiple general protocol protocols such as Modbus-RTU, modbus-TCP and IEC-104, and supports simulation test on different SCADA systems, and the power equipment simulation system provided by the application has the advantages of high accuracy, wide application range and convenience in operation.

According to the technical scheme provided by the embodiment of the application, the simulation configuration information of the power equipment is obtained; determining a target equipment simulation model in the candidate equipment simulation models according to the platform identification to be simulated and the power equipment configuration information of the platform to be simulated; according to the state of the equipment to be simulated, generating electric power simulation data through the target equipment simulation model, considering the association relation between the dimensions of the electric power data, guaranteeing the authenticity of the electric power simulation data, performing simulation test on the electric power monitoring system based on the electric power simulation data, guaranteeing the accuracy of the simulation test of the electric power monitoring system, and further guaranteeing the operation safety of the tramcar.

Example two

Fig. 2 is a flowchart of another simulation test method for a power monitoring system according to the second embodiment of the present application. The present embodiment is further optimized on the basis of the above embodiment. Specifically, before the power equipment simulation configuration information is acquired, the method further comprises the following construction process of candidate equipment simulation models: classifying the candidate power equipment according to the power data dimension corresponding to each candidate power equipment to obtain at least two equipment types; and respectively constructing corresponding power equipment simulation models for the equipment types according to the association relation between the power data dimensions to obtain at least two candidate equipment simulation models.

As shown in fig. 2, the simulation test method of the power monitoring system includes:

and S210, classifying the candidate power equipment according to the power data dimension corresponding to each candidate power equipment to obtain at least two equipment types.

The candidate power equipment refers to all power equipment in the power system within the monitoring range of the power monitoring system. For example, the candidate power device may include: the device comprises a looped network inlet cabinet, a looped network outlet cabinet, a power distribution feeder cabinet, a traction feeder cabinet, a low-voltage cabinet, a looped network inlet protection device, a looped network outlet protection device, a traction feeder protection device, a power distribution feeder protection device, a rectifier transformer, a distribution transformer, a nixie tube, an air conditioner, an escape door, a fire alarm, a drainage pump, an air conditioner controller, an audible and visual alarm and the like.

Each power device has a corresponding power data dimension that may reflect the internal operating mechanisms and functions of the power device. The power data dimension of the power device may be determined by a power device technology parameter table. The candidate power devices are classified according to the power data dimension, specifically, the candidate power devices can be classified according to the power data dimension types corresponding to the candidate power devices, and the candidate power devices with consistent corresponding power data dimension types are classified into the same type, so that at least two device types are obtained.

In an alternative embodiment, the device types include: at least one of a switch cabinet, a protection device, a transformer, a charging device, a direct current screen, an emergency power supply (EPS, emergency Power Supply) and a ring control device. For example, the type correspondence relationship to which the candidate power device belongs may be: the ring network incoming line cabinet, the ring network outgoing line cabinet, the power distribution feeder cabinet, the traction feeder cabinet and the low-voltage cabinet belong to the switch cabinet type; the ring network incoming line protection device, the ring network outgoing line protection device, the traction feeder line protection device and the distribution feeder line protection device belong to the protection device type; rectifier transformers and distribution transformers are of the transformer type; the digital tube, the air conditioner, the escape door, the fire alarm, the drainage pump, the air conditioner controller and the audible and visual alarm belong to the environmental control equipment type.

Each equipment type has a corresponding power equipment simulation model, and for the equipment types, at least one candidate equipment simulation model can be constructed as follows: the system comprises a switch cabinet model, a protection device model, a transformer model, a charging device model, a direct current screen model, an emergency power supply model and a ring control equipment model. The device types and the candidate power device simulation models have a one-to-one correspondence.

S220, respectively constructing corresponding power equipment simulation models for the equipment types according to the association relation between the power data dimensions, and obtaining at least two candidate equipment simulation models.

Under the condition that the equipment type of the power equipment is determined, the dimension of the power data of the power equipment is analyzed, and a corresponding power equipment simulation model is built for the equipment type of the power equipment according to the association relation between the power data. The association relationship between the power data dimensions may be a mutual constraint relationship between several power data dimensions. One power device generally corresponds to a plurality of power data dimensions, and a plurality of different association relations can exist among the power data dimensions, and the plurality of association relations jointly form a power device simulation model.

In an optional embodiment, constructing a corresponding power equipment simulation model for the equipment type according to the association relationship between the power data dimensions includes: determining the dimension type of the power data dimension according to the functional attribute of the power data dimension: if the dimension type of the electric power data dimension is telemetry data or remote pulse data, taking the established mathematical relationship existing between the electric power data dimensions as the association relationship between the electric power data dimensions; if the dimension type of the electric power data dimension is remote signaling data, remote control data or remote adjustment data, determining the association relationship between the electric power data dimensions through a time sequence model based on the historical electric power data of the electric power data dimension; and correcting the association relation between the electric power data dimensions according to the control relation between the electric power data dimensions of different dimension types, and constructing an electric power equipment simulation model according to the corrected association relation.

According to the functional attribute of the power data dimension, determining the dimension type of the power data dimension, which is actually the function of power automation scheduling of the power system according to the power data dimension, determining the five-remote type of the power data dimension, and determining the five-remote type as the dimension type of the power data dimension. In the tramcar field, five remote devices refer to remote signaling, remote sensing, remote control, remote regulation and remote pulse. Wherein, the remote signaling refers to collecting and transmitting digital signals, and the remote signaling data comprises: the circuit breaker is separated from the position, combined with the position, the handcart working position, the time setting signal state or the device communication state, etc.; telemetry refers to the remote measurement of analog signals, telemetry data including: voltage, current, active power, reactive power, frequency, or zero sequence current, etc.; remote control means receiving and executing a remote control instruction, and remote control data includes: control data such as opening and closing of an isolating gate, a breaker switch or remote stopping and starting; remote tuning refers to receiving and executing remote tuning instructions, the remote tuning data including: the constant value of the overcurrent I section, the constant value of the zero-sequence overcurrent at the low-voltage side or the constant value of the overcurrent acceleration section, etc.; remote pulse data refers to data transmitted by using pulse signals in metering of a power system, and the remote pulse data comprises: active power input, active power output, active power total, active power net, reactive power input, reactive power output, reactive power total or reactive power net. In the embodiment of the application, only the power equipment of the switch cabinet type has the power data dimension of the remote pulse type.

And determining the association relation between the power data dimensions according to the dimension types of the power data dimensions, and specifically, if the dimension types of the power data dimensions are telemetry data or remote pulse data, taking the established mathematical relation existing between the power data dimensions as the association relation between the power data dimensions. The predetermined mathematical relationship refers to a correlation relationship which exists between the dimensions of the power data and can be expressed by a mathematical formula. The predetermined mathematical relationship may be a physical law or a mathematical formula described in a power equipment technical parameter table. For example, for voltages, currents and powers that are of telemetry type, the physical law describing the relationship of the three will be taken as the relationship between the three power data dimensions.

If the dimension type of the electric power data dimension is remote signaling data, remote control data or remote adjustment data, determining the association relationship between the electric power data dimensions through a time sequence model based on the historical electric power data of the electric power data dimension; the method is characterized in that a given mathematical relationship does not exist among the electric data dimensions of remote signaling data, remote control data or remote adjustment data types, and the association relationship among the electric data dimensions is generally obtained by analyzing the electric data dimensions of the same dimension type for the electric data dimensions of which the dimension types are remote signaling data, remote control data or remote adjustment data. Specifically, historical power data is analyzed based on a time series model of a sliding window average.

When the association relationship between the power data dimensions is determined, the dimension types of the power data dimensions are distinguished, and the association relationship between the power data dimensions is determined by adopting a dimension type adaptation method. For example, if the power equipment A corresponds to the remote signaling type and the electric data dimension of the remote signaling type at the same time, determining the association relationship between the electric data dimensions through a time sequence model based on historical electric data aiming at the electric data dimension of the remote signaling type; for the power data dimension of the telemetry type, the established mathematical relationship existing between the power data dimensions is used as the association relationship between the power data dimensions. And integrating the association relation corresponding to the remote signaling type and the association relation corresponding to the remote sensing type to obtain the association relation corresponding to the power equipment A.

In order to simulate the actual running situation of the power system more truly, the embodiment of the application also considers the control relation existing between different power data dimensions, and mainly considers the corresponding control relation existing between the power data dimensions of which the dimension types are remote-control type and remote-measurement type and the corresponding control relation existing between the power data dimensions of which the dimension types are remote-control type and remote-signaling type. For example, the remote signaling data of electrical devices of the type of switchgear, such as circuit breakers, earthing switches and hand trucks, may change as the remote control data changes; the equipment type is the power equipment of the protection device, and the telemetry data of the power equipment can change along with the change of the remote adjustment data;

And correcting the obtained association relation according to the control relation among different dimensions, specifically correcting the determined association relation by establishing a corresponding control relation configuration file, and constructing a power equipment simulation model according to the corrected association relation.

According to the embodiment of the application, the association relation among the power data dimensions belonging to the same dimension type is considered, the control relation among the power data dimensions belonging to different dimension types is considered, the accuracy of the power equipment simulation model and the fidelity of the power simulation data are ensured, and therefore the testing accuracy of the power monitoring system is improved.

S230, acquiring simulation configuration information of the power equipment; wherein the power equipment simulation configuration information includes: station identification to be simulated and equipment state to be simulated.

S240, determining a target equipment simulation model in the candidate equipment simulation models according to the platform identification to be simulated and the power equipment configuration information of the platform to be simulated.

S250, generating electric power simulation data through the target equipment simulation model according to the state of the equipment to be simulated, and performing simulation test on the electric power monitoring system based on the electric power simulation data.

According to the technical scheme provided by the embodiment of the application, the candidate power equipment is classified according to the power data dimension corresponding to each candidate power equipment to obtain at least two equipment types, and under the condition that the equipment types of the power equipment are determined, the power equipment simulation model corresponding to the equipment type to which the power equipment belongs is built according to the association relation between the power data dimensions corresponding to the power equipment. And generating power simulation data through the power equipment simulation model, and testing the power monitoring system based on the power simulation data. According to the embodiment of the application, the power equipment simulation model is built according to the association relation between the dimensions of the power data, and the power simulation data are generated through the power simulation model, so that the real running condition of the power system can be more accurately simulated, the authenticity of the power simulation data is improved, the power monitoring system is monitored based on the simulation data automatically generated by the power equipment simulation model, and the testing accuracy and the testing efficiency of the power monitoring system can be effectively improved.

Example III

Fig. 3 is a flowchart of yet another simulation test method for a power monitoring system according to the third embodiment of the present application. The present embodiment is further optimized on the basis of the above embodiment. Specifically, according to the platform identifier to be simulated and the power equipment configuration information of the platform to be simulated, determining a target equipment simulation model in candidate equipment simulation models, including: according to the platform identification to be simulated and the power equipment configuration information of the platform to be simulated, determining the power equipment configured at the simulation platform as target power equipment; determining the type of equipment to which the target power equipment belongs as a target type according to the power data dimension of the target power equipment; and selecting the power equipment simulation model corresponding to the target type from the candidate equipment simulation models as a target equipment simulation model.

As shown in fig. 3, the simulation test method of the power monitoring system includes:

s310, acquiring simulation configuration information of the power equipment; wherein the power equipment simulation configuration information includes: station identification to be simulated and equipment state to be simulated.

S320, according to the station identification to be simulated and the power equipment configuration information of the station to be simulated, determining the power equipment configured at the simulation station as target power equipment.

The power equipment configuration information records the power equipment configuration condition of the platform, and specifically includes content such as a power equipment identifier configured at the platform, a power equipment corresponding equipment technical parameter table and the like. The target power device is a power device that is disposed at a station to be emulated. The target power equipment configured at the simulation station can be determined in the power equipment configuration information according to the station identification to be simulated. The platform is used as a simulation unit for performing simulation test on the power equipment, and in order to simulate and restore the actual running condition of the power system of the platform, all the power equipment arranged at the platform is selected as target power equipment.

S330, determining the type of the equipment to which the target power equipment belongs as a target type according to the power data dimension of the target power equipment.

The power data dimension of the target power equipment can be determined according to the power equipment simulation configuration information, the equipment type of the target power equipment is determined according to the power data dimension of the power equipment, and the type of the target power equipment is determined as the target type.

S340, selecting a power equipment simulation model corresponding to the target type from the candidate equipment simulation models as a target equipment simulation model.

The power equipment simulation models and the equipment types are in one-to-one correspondence, each equipment type is provided with a power equipment simulation model corresponding to the equipment type, and the power equipment simulation model corresponding to the target type is a target equipment simulation model.

S350, generating electric power simulation data through the target equipment simulation model according to the state of the equipment to be simulated, and performing simulation test on the electric power monitoring system based on the electric power simulation data.

According to the technical scheme provided by the embodiment of the application, the power equipment configured at the simulation platform is determined to be the target power equipment according to the platform identification to be simulated and the power equipment configuration information of the platform to be simulated, the equipment type of the target power equipment is determined to be the target type according to the power data dimension of the target power equipment, and the power equipment simulation model corresponding to the target type is selected from the candidate equipment simulation models to be used as the target equipment simulation model. According to the state of the equipment to be simulated, generating electric power simulation data through a target equipment simulation model, performing simulation test on the electric power monitoring system based on the electric power simulation data, generating electric power simulation data through the target equipment simulation model, performing simulation test on the electric power monitoring system based on the electric power simulation data, ensuring the accuracy of the simulation test of the electric power monitoring system, and further ensuring the operation safety of the tramcar.

In an alternative embodiment, generating power simulation data by the target device simulation model according to the device state to be simulated includes: determining the expected change range of the independent power data dimension according to the state of the equipment to be simulated; randomly generating power data belonging to the independent power data dimension in the expected variation range as model input data; and inputting the model input data into the target equipment simulation model, and generating electric power simulation data through the target equipment simulation model.

Optionally, the device to be simulated state includes: at least one of a normal state, an abnormal state and an off-line state, so that the omnibearing simulation of the running state of the power equipment in the station to be simulated can be realized. It is known that the device state to be simulated refers to the operating state of the power system of the station to be simulated. The operating state of the power system is determined by the operating state of the power equipment. In practice, the state of the device to be emulated refers to the operating state of the power device arranged in the station to be emulated. In general, the state of the device to be simulated refers to the operation state of a part of the power devices, and the state of the device to be simulated specifically refers to which power devices are operated, which is not limited herein, and is specifically determined according to the actual situation. For example, the power equipment with the running state of the to-be-simulated equipment in the to-be-simulated station can be determined through a random algorithm, and other unselected power equipment in the to-be-simulated station maintain the default running state. Alternatively, the normal state is taken as the default running state. Of course, the running states of the power devices in the platform to be simulated are the states of the devices to be simulated, and the running states can be further specified by the user according to the service requirements.

And determining the expected change range of the independent power data dimensions according to the state of the equipment to be simulated, wherein no association relation exists between the independent power data dimensions, and determining the change range of the power data dimensions associated with each independent power data dimension according to the association relation between the power data dimensions after determining the expected change range of the independent power data dimensions. Illustratively, where the power data dimensions are voltage and current, one of the voltage or current is optionally taken as the independent power data dimension. And if the voltage is used as an independent power data dimension, determining the expected change range of the voltage according to the state of the equipment to be simulated. After the expected change range of the voltage is determined, the change range of the current can be determined according to the association relation between the voltage and the current.

The expected change range is related to the state of the equipment to be simulated, the expected change range of the independent power data dimension is determined according to the state of the equipment to be simulated, and particularly, the expected change range of the independent power data dimension is determined according to the state of the equipment to be simulated and the numerical reference range of each power data dimension given in the equipment technical parameter table under the condition of normal operation of the power equipment. For example, when the power device is a ring main unit and the voltage is in an independent power data dimension, the device technology parameter table gives that the range of the AB line voltage Uab of the ring main unit in a normal operation state is [9.3, 10.7], if the state of the device to be simulated is in a normal state, the expected variation range of the voltage is [9.3, 10.7], and if the state of the device to be simulated is in an abnormal state, the expected range of the voltage does not include [9.3, 10.7].

Randomly generating power data belonging to independent power data dimensions in an expected variation range, and taking the power data as model input data; specifically, the set number of power data belonging to the independent power data dimension is randomly generated in the expected variation range and used as the model input data. The number of settings is determined by the skilled person according to the actual service requirements, and is not limited herein, and may be hundreds or thousands, for example.

Model input data is input to the target device simulation model, and power data of other power data dimensions associated with the independent power data dimension is output through the target device simulation model. And obtaining power simulation data generated when the power equipment runs in the state of the equipment to be simulated, and performing simulation test on the power monitoring system based on the power simulation data.

According to the method, the expected change range of the independent power data dimension is determined according to the state of the to-be-simulated equipment, and then the power data belonging to the independent power data dimension is randomly generated in the expected change range and used as model input data; the model input data is input into the target equipment simulation model, and the electric power simulation data is generated through the target equipment simulation model, so that the omnibearing simulation of various running conditions of the electric power system can be realized, and meanwhile, the accuracy of the simulation data is ensured.

Example IV

Fig. 4 is a schematic diagram of a simulation test device for a power monitoring system according to a fourth embodiment of the present application, where the present embodiment is applicable to a simulation test for a power monitoring system in the field of rail transit, and a performance condition of the power monitoring system is tested. The apparatus may be implemented in software and/or hardware and may be integrated in an electronic device such as a smart terminal.

As shown in fig. 4, the apparatus may include: a power device simulation configuration information acquisition module 410, a target device simulation model determination module 420, and a simulation test module 430.

The power equipment simulation configuration information acquisition module 410 is configured to acquire power equipment simulation configuration information; wherein the power equipment simulation configuration information includes: a platform identifier to be simulated and a state of equipment to be simulated;

the target equipment simulation model determining module 420 is configured to determine a target equipment simulation model from candidate equipment simulation models according to the platform identifier to be simulated and the power equipment configuration information of the platform to be simulated; the candidate equipment simulation model is constructed according to the association relation between the dimensions of the corresponding power data of the candidate power equipment;

and the simulation test module 430 is configured to generate power simulation data according to the device to be simulated through the target device simulation model, and perform a simulation test on the power monitoring system based on the power simulation data.

Optionally, the apparatus further includes: and the candidate equipment simulation model construction module is used for constructing a candidate equipment simulation model before acquiring the power equipment simulation configuration information. The candidate equipment simulation model building module comprises: the equipment type determining submodule is used for classifying the candidate power equipment according to the power data dimension corresponding to each candidate power equipment to obtain at least two equipment types; and the candidate equipment simulation module construction submodule is used for respectively constructing corresponding power equipment simulation models for the equipment types according to the association relation between the power data dimensions to obtain at least two candidate equipment simulation models.

Optionally, the candidate device simulation module building sub-module includes: the dimension type determining unit is used for determining the dimension type of the power data dimension according to the functional attribute of the power data dimension: the first association relation determining unit is used for taking a given mathematical relation existing between the electric power data dimensions as the association relation between the electric power data dimensions if the dimension type of the electric power data dimensions is telemetry data or remote pulse data; the second association relation determining unit is used for determining association relation among the electric power data dimensions through a time sequence model based on historical electric power data of the electric power data dimensions if the dimension type of the electric power data dimensions is remote signaling data, remote control data or remote adjustment data; the power equipment simulation model construction unit is used for correcting the association relation between the power data dimensions according to the control relation between the power data dimensions of different dimension types and constructing a power equipment simulation model according to the corrected association relation.

Optionally, the target device simulation model determining module 420 includes: the target power equipment determining submodule is used for determining the power equipment configured at the simulation platform as target power equipment according to the platform identification to be simulated and the power equipment configuration information of the platform to be simulated; the equipment type determining submodule is used for determining the equipment type of the target power equipment according to the power data dimension of the target power equipment as a target type; the target equipment simulation model determining submodule is used for selecting a power equipment simulation model corresponding to the target type from the candidate equipment simulation models as a target equipment simulation model.

Optionally, the simulation test module 430 includes: an electronic simulation data generation sub-module and a simulation test sub-module; the electronic simulation data generation sub-module is specifically used for generating electric power simulation data through the target equipment simulation model according to the state of the equipment to be simulated; and the simulation test sub-module is specifically used for performing simulation test on the power monitoring system based on the power simulation data.

An electronic simulation data generation sub-module comprising: the expected change range determining unit is used for determining the expected change range of the independent power data dimension according to the state of the equipment to be simulated; a model input data determining unit, configured to randomly generate, as model input data, power data belonging to the independent power data dimension in the expected variation range; and the power simulation data generation unit is used for inputting the model input data into the target equipment simulation model and generating power simulation data through the target equipment simulation model.

Optionally, the device to be simulated state includes: at least one of a normal state, an abnormal state, and an offline state.

Optionally, the device types include: at least one of a switch cabinet, a protection device, a transformer, a charging device, a direct current screen, an emergency power supply and environmental control equipment; correspondingly, the candidate equipment simulation model comprises: at least one of a switch cabinet model, a protection device model, a transformer model, a charging device model, a direct current screen model, an emergency power supply model and a ring control equipment model.

The simulation test device for the power monitoring system provided by the embodiment of the invention can execute the simulation test method for the power monitoring system provided by any embodiment of the invention, and has the corresponding performance module and beneficial effects of executing the simulation test method for the power monitoring system.

Example five

A fifth embodiment of the present application also provides a storage medium containing computer-executable instructions, which when executed by a computer processor, are for performing a power monitoring system simulation test method, the method comprising:

Storage media refers to any of various types of memory electronic devices or storage electronic devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, lanbas (Rambus) RAM, etc.; nonvolatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in a computer system in which the program is executed, or may be located in a different second computer system connected to the computer system through a network (such as the internet). The second computer system may provide program instructions to the computer for execution. The term "storage medium" may include two or more storage media that may reside in different unknowns (e.g., in different computer systems connected by a network). The storage medium may store program instructions (e.g., embodied as a computer program) executable by one or more processors.

Of course, the storage medium containing the computer executable instructions provided in the embodiments of the present application is not limited to the power monitoring system simulation test operation described above, and may also perform the related operations in the power monitoring system simulation test method provided in any embodiment of the present application.

Example six

The sixth embodiment of the present application provides an electronic device, in which the simulation test device for the power monitoring system provided in the embodiments of the present application may be integrated, where the electronic device may be configured in a system, or may be a device that performs part or all of the performance in the system. Fig. 5 is a schematic structural diagram of an electronic device according to a sixth embodiment of the present application. As shown in fig. 5, the present embodiment provides an electronic device 500, which includes: one or more processors 520; the storage 510 is configured to store one or more programs, where the one or more programs are executed by the one or more processors 520, so that the one or more processors 520 implement the power monitoring system simulation test method provided by the embodiment of the present application, and the method includes:

Of course, those skilled in the art will appreciate that the processor 520 also implements the technical solution of the simulation test method for the power monitoring system provided in any embodiment of the present application.

The electronic device 500 shown in fig. 5 is merely an example and should not be construed as limiting the capabilities and scope of use of embodiments of the present application.

As shown in fig. 5, the electronic device 500 includes a processor 520, a storage device 510, an input device 530, and an output device 540; the number of processors 520 in the electronic device may be one or more, one processor 520 being exemplified in fig. 5; the processor 520, the storage 510, the input 530, and the output 540 in the electronic device may be connected by a bus or other means, as exemplified by connection via bus 550 in fig. 5.

The storage device 510 is used as a computer readable storage medium, and can be used to store a software program, a computer executable program, and a module unit, such as program instructions corresponding to the simulation test method of the power monitoring system in the embodiment of the present application.

The storage device 510 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for performance; the storage data area may store data created according to the use of the terminal, etc. In addition, the storage 510 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some examples, storage 510 may further include memory located remotely from processor 520, which may be connected via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The input means 530 may be used to receive input numeric, character information or voice information and to generate key signal inputs related to user settings and performance control of the electronic device. Output 540 may include an electronic device such as a display screen, speaker, etc.

The simulation test device, the medium and the electronic equipment for the power monitoring system provided by the embodiment can execute the simulation test method for the power monitoring system provided by any embodiment of the application, and have the corresponding performance module and beneficial effects of executing the method. Technical details not described in detail in the above embodiments may be referred to the simulation test method of the power monitoring system provided in any embodiment of the present application.

Note that the above is only a preferred embodiment of the present application and the technical principle applied. Those skilled in the art will appreciate that the present application is not limited to the particular embodiments described herein, but is capable of numerous obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the present application. Therefore, while the present application has been described in connection with the above embodiments, the present application is not limited to the above embodiments, but may include many other equivalent embodiments without departing from the spirit of the present application, the scope of which is defined by the scope of the appended claims.

Claims

1. A method for simulating and testing a power monitoring system, the method comprising:

2. The method of claim 1, wherein prior to obtaining the power device simulation configuration information, the method further comprises the process of constructing a candidate device simulation model as follows:

classifying the candidate power equipment according to the power data dimension corresponding to each candidate power equipment to obtain at least two equipment types;

and respectively constructing corresponding power equipment simulation models for the equipment types according to the association relation between the power data dimensions to obtain at least two candidate equipment simulation models.

3. The method of claim 2, wherein constructing a corresponding power device simulation model for the device type based on the association between the power data dimensions comprises:

Determining the dimension type of the power data dimension according to the functional attribute of the power data dimension:

if the dimension type of the electric power data dimension is telemetry data or remote pulse data, taking the established mathematical relationship existing between the electric power data dimensions as the association relationship between the electric power data dimensions;

if the dimension type of the electric power data dimension is remote signaling data, remote control data or remote adjustment data, determining the association relationship between the electric power data dimensions through a time sequence model based on the historical electric power data of the electric power data dimension;

and correcting the association relation between the electric power data dimensions according to the control relation between the electric power data dimensions of different dimension types, and constructing an electric power equipment simulation model according to the corrected association relation.

4. The method according to claim 1, wherein determining a target device simulation model among candidate device simulation models based on the station identification to be simulated and power device configuration information of the station to be simulated, comprises:

according to the platform identification to be simulated and the power equipment configuration information of the platform to be simulated, determining the power equipment configured at the simulation platform as target power equipment;

Determining the type of equipment to which the target power equipment belongs as a target type according to the power data dimension of the target power equipment;

and selecting the power equipment simulation model corresponding to the target type from the candidate equipment simulation models as a target equipment simulation model.

5. The method of claim 1, wherein generating power simulation data from the target device simulation model based on the device state to be simulated comprises:

determining the expected change range of the independent power data dimension according to the state of the equipment to be simulated;

randomly generating power data belonging to the independent power data dimension in the expected variation range as model input data;

and inputting the model input data into the target equipment simulation model, and generating electric power simulation data through the target equipment simulation model.

6. The method of claim 1, wherein the device state to be emulated comprises: at least one of a normal state, an abnormal state, and an offline state.

7. The method of claim 2, wherein the device type comprises: at least one of a switch cabinet, a protection device, a transformer, a charging device, a direct current screen, an emergency power supply and environmental control equipment; correspondingly, the candidate equipment simulation model comprises: at least one of a switch cabinet model, a protection device model, a transformer model, a charging device model, a direct current screen model, an emergency power supply model and a ring control equipment model.

8. An electrical power monitoring system simulation test apparatus, the apparatus comprising:

9. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when executed by a processor, implements the power monitoring system simulation test method as claimed in any one of claims 1-7.

10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the power monitoring system simulation test method of any of claims 1-7 when the computer program is executed by the processor.