KR20170028699A - Virtual device management apparatus based on scenario for distributed energy resources - Google Patents
Virtual device management apparatus based on scenario for distributed energy resources Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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Abstract
Description
The present invention relates to a scenario-based virtual equipment management apparatus for simulating distributed resources, and more particularly, to a virtual equipment management apparatus for simulating a distributed resource by creating scenarios of various operating conditions and distributed resources in a scenario, To a scenario-based virtual equipment management apparatus for simulating distributed resources.
Distributed energy resources (DER) is one of the key components of a smart grid, and is a generic term for renewable energy sources such as solar and wind power, energy storage devices, and electric vehicles.
Compared to conventional energy sources, distributed resources are changed by external factors such as weather conditions. In order to operate the grid in a stable environment such as Micro Grid where the proportion of distributed resource generation is high, it is necessary to monitor the development status of distributed resources in real time and make necessary control commands. The ability to monitor and control distributed resources must ensure interoperability by accommodating the modeling information (information representation method) and communication protocol (information exchange method) of the distributed resource devices to be linked, and in a similar manner to the actual system operation environment The function should be able to be tested against the operating equipment.
However, since the modeling of equipment and the application of communication protocol are different for each manufacturer, functional verification through linkage with actual equipment is required to develop an application service for controlling distributed resources.
Modbus, DNP 3.0, IEC 61850, etc. have been used as communication technologies that distributed resource equipment mainly used. Among them, Modbus and DNP 3.0 should refer to the modeling information provided by the manufacturer. In case of IEC 61850, And it is impossible to apply to equipment or environment which was not considered at the time of function development. It is impossible to develop or test new function in the operating system due to characteristics of the operating system at all times.
Also, the prior art can not reflect the modeling information and the communication protocol information of the distributed resource equipment in the simulation, nor can it test the interoperability with the equipment.
In addition, prior art techniques can only be applied to interoperability testing for specific protocol products, so that microgrid operating scenarios in which various protocols operate together can not be applied.
Particularly, in the case of a microgrid that performs power supply mainly in terms of distributed resources, there is a problem in that it takes a lot of cost to install the equipment.
The background art of the present invention is disclosed in Korean Patent Registration No. 10-0941478 (2010.02.02) 'Protection Coordination Evaluation System and its Driving Method in a Distributed Power Source Distribution System'.
SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problems, and an object of the present invention is to provide a script language describing modeling information of distributed resource devices, communication protocol information, linkage information between devices, Based virtual machine management apparatus for simulating a distributed resource, which is capable of verifying interoperability of a distributed resource linkage function even when there is no actual equipment, by generating and operating a virtual machine process.
A scenario-based virtual equipment management apparatus for simulating distributed resources according to one aspect of the present invention includes at least one virtual equipment process that operates in the same manner as an actual distributed resource equipment, and operates and manages the created virtual equipment process At least one simulated driving client; And a simulated operation server for analyzing the predefined simulated driving scenario to generate virtual equipment configuration information for performing simulated operation and distributing the virtual equipment process to the simulated driving client according to the generated virtual equipment configuration information .
The simulated operation server of the present invention communicates with the simulated operating client in a distributed processing structure, respectively.
The simulated driving scenario of the present invention is characterized by being described in the form of a script language.
The simulated driving scenario of the present invention includes a system operation environment, an event generation condition, distributed resource modeling information, distributed resource device communication protocol information, and a data generation algorithm of a distributed resource device.
The simulated driving scenario of the present invention is characterized in that a distributed resource device is defined as a combination of an information model and communication protocol mapping information.
The simulated operation server of the present invention includes a simulated driving scenario analysis module for analyzing the simulated driving scenario to generate the virtual equipment configuration information for performing simulated driving and setting at least one of event, weather information, and time information; And a virtual equipment distribution execution management module for distributing the virtual equipment process to each of the simulated operating clients and managing the execution status.
The simulated driving scenario analysis module of the present invention classifies the simulated driving scenario into constituent elements, and classifies them into an environmental element, a power generation element, an operating element, and an adjustment element.
The simulated driving scenario of the present invention is characterized in that the inter-component relationship is represented by either a reference method or an event method.
The simulated driving scenario analysis module of the present invention is characterized by generating a reference graph between each constituent element in the simulated driving scenario and examining whether or not there is a circular reference between components on the reference graph and whether or not there is a reference violation.
The reference method of the present invention is characterized in that a value of a component to be referred to and a value of a component to be referenced are interlocked in the same time zone.
The simulated driving scenario analysis module of the present invention is characterized by limiting references between components in order to prevent circular references among the components in the reference scheme.
In the simulated driving scenario analysis module of the present invention, the environment element refers to the environmental element, the power generation element refers to the environmental element, and the operating element refers to the environmental element, the power generation element and the operating element , Said adjustment element referring to said operating element.
The event method of the present invention is characterized in that the value of the reference element changes in the next time zone when the value of the element to be referred to is changed.
The virtual equipment distribution execution management module of the present invention analyzes resource consumption of the virtual equipment process in the simulation driving scenario and distributes the resource consumption to the simulation driving clients.
The virtual equipment distribution execution management module of the present invention uses at least one of the reference count of the other components per variable belonging to the virtual equipment process, the number of times that the other components are referred to by each variable, and the communication protocol used by the virtual equipment process And the resource consumption amount is calculated.
The virtual machine distribution execution management module of the present invention calculates a change in the data of each virtual machine process in accordance with the passage of time based on the information described in the simulated operation scenario and transmits it to the simulated driving client .
The simulated driving client of the present invention is characterized by including a virtual equipment process management module for generating the virtual equipment process assigned from the simulated operation server and executing and managing the generated virtual equipment process.
The virtual equipment process management module of the present invention monitors the operation status of the virtual equipment process and deletes the virtual equipment process of the non-responding status if the virtual equipment process does not respond during the set time.
The virtual equipment process management module of the present invention determines whether or not there is a spare resource for re-creating the virtual equipment process after deleting the virtual equipment process, and re-creates the virtual equipment process if there is a spare resource do.
The virtual equipment process management module of the present invention deletes the virtual equipment process and determines whether or not there is a spare resource for re-creating the virtual equipment process. If there is no spare resource, To the management module.
The virtual machine distributed execution management module of the present invention receives the availability status of the remaining distributed execution clients of the distributed execution clients when the virtual machine distributed execution management module receives the absence of spare resources to the virtual machine distributed execution management module, And the process is relocated to any one of the distributed execution clients having spare resources.
The present invention describes a distributed resource device modeling information, communication protocol information, inter-device linkage information, and data generation algorithm of a device in a script language, and generates and operates a virtual device process that operates based on the scripting language, The interoperability of the functions can be verified.
FIG. 1 is a block diagram of a scenario-based virtual equipment management apparatus for simulating distributed resources according to an embodiment of the present invention.
2 is a flowchart illustrating an operation process of a simulation driving scenario analysis module according to an embodiment of the present invention.
3 is a diagram illustrating a difference in a variable value change according to a variable interlocking method according to an embodiment of the present invention.
4 is a diagram illustrating an example of virtual machine process distribution according to an embodiment of the present invention.
5 is a flowchart illustrating an operation process of a virtual equipment process management module according to an embodiment of the present invention.
FIG. 6 is a diagram illustrating a configuration example of a simulation driving scenario according to an embodiment of the present invention.
7 is a diagram illustrating a reference graph between variables according to an embodiment of the present invention.
FIG. 8 is a flowchart illustrating a virtual equipment process regeneration process of the virtual equipment process management module according to an embodiment of the present invention.
Hereinafter, a scenario-based virtual equipment management apparatus for simulating distributed resources according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings. In this process, the thicknesses of the lines and the sizes of the components shown in the drawings may be exaggerated for clarity and convenience of explanation. Further, the terms described below are defined in consideration of the functions of the present invention, which may vary depending on the user, the intention or custom of the operator. Therefore, definitions of these terms should be made based on the contents throughout this specification.
FIG. 1 is a block diagram of a scenario-based virtual equipment management apparatus for simulating a distributed resource according to an embodiment of the present invention. FIG. 2 illustrates an operation process of a simulation driving scenario analysis module according to an embodiment of the present invention. FIG. 3 is a diagram illustrating a difference in a variable value change according to a variable interlocking method according to an embodiment of the present invention. FIG. 4 is an example of a virtual equipment process distribution example according to an embodiment of the present invention. FIG. 5 is a flowchart illustrating an operation process of a virtual equipment process management module according to an embodiment of the present invention, FIG. 6 is a diagram illustrating a configuration example of a simulation driving scenario according to an embodiment of the present invention, 7 is a diagram showing a reference graph between variables according to an embodiment of the present invention. FIG. 8 is a diagram illustrating a virtual equipment process of a virtual equipment process management module according to an embodiment of the present invention. Fig. 2 is a flowchart showing the SES regeneration process.
In order to perform a simulation operation that provides the same communication function as an apparatus in an actual system environment, in this embodiment, a virtual machine process is created and operated in a distributed client program based on a simulation driving scenario.
In the simulation driving scenario, environmental information (weather, time flow) to execute the simulation operation, data modeling of distributed resource equipment, protocol information, data generation algorithm of distributed resource equipment, linkage information between distributed resource devices, do.
In the past, data generation algorithms of distributed resource devices could not be described in detail, and they could only be defined in the form of a random function having a range, and realistic data generation such as variation of distributed resource generation according to the change of weather could not be produced. In this embodiment, a script-based language is applied to create a virtual distributed resource that operates similarly to an actual distributed resource device.
A virtual device, a distributed resource device, is defined as a combination of data modeling information and communication protocol information.
Virtual equipment has similar data modeling by type, but actual communication protocol information is defined differently. By separating the modeling information of the virtual equipment and the communication protocol mapping information, the
All the information written in the simulated driving scenario is composed of object and variables and stored in the memory of the system. Based on this, the number of virtual machine processes 21 generated in the course of analyzing the simulation driving scenario, computing resources (CPU, RAM) necessary for operating the
In order to reflect the association between the virtual machine processes 21 to the simulation operation, two processing methods, that is, a variable reference and an event, are applied. To perform an efficient simulation operation, each
In addition, the amount of resources required for simulated operation for each
Referring to FIG. 1, a scenario-based virtual equipment management apparatus for simulating distributed resources according to an embodiment of the present invention generates virtual equipment configuration information for performing simulated operation by analyzing a predefined simulation driving scenario, A
The simulated driving server (10) communicates with a plurality of simulated driving clients (20). The
The
The
First, the simulated driving
Here, the simulation driving scenario includes a system operation environment, an event generation condition, distributed resource modeling information, distributed resource equipment communication protocol information, and a data generation algorithm of distributed resource equipment. Each of these pieces of information is expressed in the form of a script language.
Here, the data generation algorithm of the distributed resource device can specify how the distributed resource changes according to time or other conditions. You can simply specify a sequence and specify a random value. In addition, the data generation algorithm of the distributed resource device can refer to other elements in the simulated driving scenario to generate data as shown in the following data generation algorithm example. This allows you to generate data in the form of a Sine curve or a Cosine curve.
<Example of Data Generation Algorithm>
When the data generation algorithm refers to other elements in the simulated driving scenario, a circular reference may occur. The circular reference refers to the reference variable again, and if there is such a variable, only the reference is constantly generated in the actual simulation.
The circular reference example below is a situation in which a circular reference is made to refer to the generation amount of the generator and the storage amount of the ESS.
<Circular Reference Example>
In order to prevent circular references, the components of the distributed resource simulation driving scenario can be classified as shown in Table 1 below, and the references can be restricted according to the classification.
If a component corresponding to each classification refers to an element other than a referable element, it is determined that the reference violation can not be executed.
If there is no grammatical error as a result of the determination in step 120, the simulated driving
Then, the simulated driving
In this case, if the circular reference exists and the reference violation is checked and the circular reference does not occur, the simulation driving
In addition to the variable reference, the simulation driving
In FIG. 3, two interlocking schemes are shown. In a case where variables a and b are present and the variable b is interlocked so that the variable b is larger than the variable a by one, a is changed in the order of 1, 2, 3, 4 ... If a variable reference is used, b changes to a, 2, 3, 4, 5 ... in the same time zone as a, but changes to 0, 2, 3, 4 .. in case of using an event.
An event registers an event listener to a variable to be affected by the event, and applies an event to the event by inputting the condition. The following code example shows that when the total power generation exceeds the demand amount, an event is generated to limit the maximum power generation of the wind power generator.
<Event application example>
The virtual machine distributed
The virtual machine distributed
Here, R (i) is the resource consumption of the i-th
When calculating the estimated resource consumption, the virtual machine distribution
The virtual machine distributed
4A shows a situation where a
4 (b), in order to solve the problem of communication from time to time in order to share the information of the solar generator, the virtual equipment dispersion
The virtual equipment
Referring to FIG. 5, the
The virtual machine
On the other hand, if there is no data inquiry request, the virtual equipment
That is, the virtual machine
The virtual machine
Here, the above-described steps S210 to S290 are repeated until the simulation operation end condition is satisfied.
Hereinafter, a simulation operation example using a scenario-based virtual equipment management apparatus for simulating distributed resources will be described.
FIG. 6 shows elements for carrying out a simulation operation as an embodiment. The environmental factors include time, temperature and wind speed, and simulate the operation of a wind power generator as a power generation element. ESS is simulated as load, power generation, and adjustment factor as operating factors.
In this embodiment, the virtual equipment
The reference relationship between each component refers to the temperature and the wind speed, and the wind turbine refers to the wind speed. The load refers to the temperature, the generation amount refers to the wind turbine generator, and the ESS refers to both the load and the power generation. The final change in power generation or load due to charge / discharge of the ESS is treated as an event.
In order to construct a simulated driving scenario, the time of environmental factors is input as a variable. In this embodiment, the time is changed in units of seconds and a simulation operation is performed for 30 seconds. At this time, the variable indicating the time can be described as the time variable declaration below.
<Time variable declaration>
As with the temperature and wind speed settings below, the temperature will increase from 10 ° C to 0.2 ° C with time, and the wind speed will change from 30m / s to 15m / s and 15m / s to 15m / s do.
<Temperature and wind speed setting>
For wind turbines, the generation of wind turbines is to be 5 × wind speed and the information and communication protocols are modeled as IEC 61850, as in the following wind generator and ESS parameter declarations. Mapping information about power generation to "WTUR1 $ MX $ W $ mag $ f" The ESS models the parameters by setting the communication protocol to DNP 3.0.
<Declaration of wind generator and ESS variable>
The load is set to be the sum of the value of air temperature × 10 and the discharge amount when the ESS is being charged, as in the following system development and load variable declaration. The amount of power generation is determined by the amount of power generated by the wind turbine generator and the discharge amount .
<System evolution and load variable declaration>
Also, set the ESS charge / discharge adjustment as an event. The ESS charge / discharge compares the difference between the total generation amount of the system and the load, and adjusts the charge / discharge amount of the ESS by (power generation amount - charge amount - 8) when it exceeds 10. Expressing this in a scripting language is like the ESS power generation control event below.
<ESS generation adjustment event>
The simulation driving
Since the circulation does not occur and the reference violation between the components does not occur on the reference graph, the simulation driving
The virtual machine distributed
In addition, variables (γ, δ, ε) for analysis are set.
The virtual machine distribution
The virtual machine
The virtual equipment
That is, as shown in FIG. 3, when the response of the
In this case, the virtual machine
If the
On the other hand, if there is not enough resources to newly create the
The virtual machine distributed
On the other hand, if there is no other virtual equipment
As described above, the present embodiment describes modeling information of distributed resource devices, communication protocol information, inter-device linkage information, and device data generation algorithm in a script language, and generates and operates a
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is clearly understood that the same is by way of illustration and example only and is not to be taken by way of limitation, I will understand. Accordingly, the true scope of the present invention should be determined by the following claims.
10: Simulation server
11: Simulation driving scenario analysis module
12: Virtual device distributed execution management module
20: Simulation driving client
21: Virtual Machine Process
22: Virtual Machine Process Management Module
Claims (21)
And a simulated operation server for distributing the virtual equipment process to the simulated operating client according to the virtual equipment configuration information generated by generating virtual equipment configuration information for simulated operation by interpreting the predefined simulated driving scenario, Scenario - based virtual equipment management device for simulated driving.
A simulated driving scenario analysis module for analyzing the simulated driving scenario to generate the virtual equipment configuration information for performing simulated driving and setting at least one of event, weather information, and time information; And
And a virtual machine distribution execution management module for distributing the virtual equipment process to each of the simulation operation clients and managing the execution status.
Wherein the simulated driving scenario is classified according to the constituent elements, and the simulated driving scenario is classified into an environmental element, a power generation element, an operating element, and an adjustment element.
Wherein a reference graph is generated between each component in the simulated driving scenario to check whether there is a circular reference between components on the reference graph and whether a reference violation occurs.
The resource consumption amount is calculated using at least one of a reference count of other components per variable belonging to the virtual equipment process, a frequency of referring to other components per variable, and a communication protocol used by the virtual equipment process. A SANARIO - based virtual machine management system for simulating distributed resources.
Wherein a change in the time-series data of each of the virtual equipment processes is calculated in advance based on the information described in the simulation driving scenario and is transmitted to the simulated driving client A sanario-based virtual device management device.
And a virtual equipment process management module for generating the virtual equipment process assigned from the simulation operation server and executing and managing the generated virtual equipment process. .
Wherein the monitoring unit monitors the operation status of the virtual equipment process and deletes the virtual equipment process in the non-responding state if the virtual equipment process does not respond during the set time.
Wherein the virtual equipment process is deleted after the virtual equipment process is deleted, and if the spare resource exists, the virtual equipment process is newly regenerated. Virtual device management device.
Determining whether or not there is a spare resource for re-creating the virtual equipment process after deleting the virtual equipment process; and if there is no spare resource, notifying the virtual equipment distribution execution management module that there is no spare resource A sanario - based virtual equipment management system for resource simulation.
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| US11616365B2 (en) | 2018-11-13 | 2023-03-28 | Heila Technologies, Inc. | Decentralized hardware-in-the-loop scheme |
| US11664678B2 (en) | 2017-08-03 | 2023-05-30 | Heila Technologies, Inc. | Grid asset manager |
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| WO2024128460A1 (en) * | 2022-12-13 | 2024-06-20 | 한국전자기술연구원 | System and method for testing plurality of renewable energy generation models |
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| KR101074472B1 (en) * | 2010-07-02 | 2011-10-17 | 경원대학교 산학협력단 | System for test-bed in integrated electricity |
| US20150184549A1 (en) | 2013-12-31 | 2015-07-02 | General Electric Company | Methods and systems for enhancing control of power plant generating units |
| JP2015138525A (en) | 2014-01-24 | 2015-07-30 | 株式会社東芝 | virtual plant monitoring control device |
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| US11664678B2 (en) | 2017-08-03 | 2023-05-30 | Heila Technologies, Inc. | Grid asset manager |
| US11942782B2 (en) | 2017-08-03 | 2024-03-26 | Heila Technologies, Inc. | Grid asset manager |
| US11616365B2 (en) | 2018-11-13 | 2023-03-28 | Heila Technologies, Inc. | Decentralized hardware-in-the-loop scheme |
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