KR20230080167A - Integrated local renewable energy management system using in-memory database query language - Google Patents

Abstract

One embodiment of the present invention includes: a renewable energy control infrastructure that is connected to a grid system that collects renewable energy power generation information from renewable energy power sources within each renewable energy power generation zone in a region, and collects grid data containing the renewable energy power generation information; an application unit that generates output control information; and an integrated control unit. Renewable energy production can be controlled through output prediction, stability/acceptability limit evaluation, and output control processes in renewable energy generation zones.

Description

Regional renewable energy integrated control system using in-memory database query language

The present invention relates to a regional renewable energy integrated control system, and more particularly, determines the impact of renewable energy generation on the local power system using an in-memory database query language, and determines the generation of each renewable energy in the region according to the determination result. It is about a regional renewable energy integrated control system that can control the renewable energy production in the region.

At the 2011 Durban General Assembly, it was agreed to form a new climate regime after 2020 in which both developed and developing countries participate as a follow-up to the Kyoto Protocol. In addition, with the signing of the Paris Agreement in December 2015, a new climate regime that applies to all countries in 2020 was introduced, and in line with this new climate system, new energy industries centered on renewable energy are being promoted.

Renewable energy refers to renewable energy including sunlight, water, precipitation, biological organisms, and the like, and power generation using the same includes solar energy, wind energy, and hydroelectric energy.

These renewable energies are clean and do not have to worry about depletion, and have the advantage of being non-polluting and renewable, but have a disadvantage in that the amount of power generation is less and the amount of power generation is also affected by weather conditions compared to base-load power generation such as petroleum, coal, and nuclear power.

Specifically, since renewable energy depends on natural conditions (insolation, temperature, wind, etc.), it is characterized by uncertainty and high variability in output, which makes it difficult to predict the output of electricity generation.

For example, in the case of solar power generation, the amount of power generation is intermittent because it is greatly affected by weather conditions such as the amount of sunlight, and it is difficult to accurately predict the weather conditions, so the uncertainty of the amount of power generation is also high.

1 is a diagram for explaining the need to manage reserve power due to intermittency of renewable energy generation.

As shown in FIG. 1 , renewable energy generated in each power generation zone 1 is supplied to a power grid 3 . In addition, since the energy generated in the base power generation means 2 such as petroleum or coal is also supplied to the power grid 3, the renewable energy and the base power generation energy are combined in the power grid 3.

For example, when renewable energy is energy obtained through photovoltaic power generation, as shown in the graph of FIG. 1 , the amount of base power generation required during the daytime is reduced, and after the sun goes down, the required power reserve is increased compared to the daytime period.

On the other hand, when the amount of generation from renewable energy during the day is reduced due to weather conditions, more base power generation is required as much as the amount of generation from renewable energy that decreases. Since a difference occurs between the total amounts, it is necessary to increase the reserve power to cope with the prediction error. This has a problem leading to an increase in power generation costs.

Therefore, by predicting and controlling the generation amount of renewable energy, a renewable energy integrated control system that can respond to the variability of renewable energy and generation acceptance issues and stably operate (monitor, predict, control, etc.) the regional power system is required.

The technical task to be achieved by the present invention is to determine the impact of renewable energy generation on the local power system, and according to the results of the determination, to predict the output of each renewable energy generation zone in the region, to evaluate the stability / acceptance limit, and to control the renewable energy through the process of output control. It is to provide an integrated control system for regional renewable energy that can control production.

Another technical problem to be achieved by the present invention is to provide an in-memory application database optimized for control of a local power system.

Another technical problem to be achieved by the present invention is to provide an application infrastructure that provides an environment for predicting the output of renewable energy, evaluating stability / acceptance limit, and performing output control in conjunction with a renewable energy power generation source and grid system in the region.

Another technical problem to be achieved by the present invention is to warehousing system data, meteorological data, and a plurality of information generated in the process of evaluating the stability/acceptance limit of the electric power system by distributing and parallel processing, and warehousing the warehousing big data in real time It is to provide an analysis infrastructure that can be analyzed.

The technical problem to be achieved by the present invention is not limited to the above-mentioned technical problem, and other technical problems not mentioned can be clearly understood by those skilled in the art from the description below. There will be.

In order to achieve the above technical problem, an embodiment of the present invention is connected to a grid system that collects renewable energy generation information of renewable energy generation sources in each renewable energy development zone in the region, and grid data including the renewable energy generation information. Renewable energy control infrastructure that collects; An application unit that communicates with the renewable energy control infrastructure to receive the system data, determine power system stability of the region based on the system data, and generate output control information according to the power system stability; And an integrated control unit that receives the system data and the output control information from the renewable energy control infrastructure and visualizes and provides them to a user, wherein the system system regenerates the renewable energy generation source through a plurality of information collection terminals. Collects energy generation information, and the renewable energy control infrastructure controls the amount of renewable energy generation in each renewable energy development zone in the region according to the output control information, and the renewable energy control infrastructure communicates with the integrated control unit. and the integrated control unit generates an in-memory database query language according to a user's input and transmits it to the real-time connection unit, wherein the in-memory database query language includes at least one of a control message and a database message. And, if the message received by the real-time connection unit is the control message, it transmits the control message to the grid system to adjust the amount of renewable energy generation in each renewable energy generation zone in the region, and the real-time connection unit transmits the received message to the database. If it is a message, after querying or editing at least a part of the system data and the output control information, a resultant value may be returned to the integrated control unit.

The database message includes a plurality of preset commands in a JSON (JavaScript Object Notation) format, and the plurality of commands include an INSERT command for inputting at least some values of the system data and the output control information; a SELECT command for inquiring at least some values of the system data and the output control information; an UPDATE command for modifying at least some values of the system data and the output control information; a DELETE command for deleting at least some values of the system data and the output control information; a TBL command designating a specific table among the system data and the output control information; a COL command designating a specific column among the system data and the output control information; a LOOKUP command for searching at least some values of the system data and the output control information; A WHERE command for conditionally searching at least some values of the system data and the output control information may be included.

The control message may control the amount of renewable energy generation of each renewable energy generation zone in the region in preference to the output control information.

The grid system may include a SCADA (Supervisory Control And Data Acquisition) module that communicates with each of the plurality of information collection terminals in real time to collect the renewable energy generation information.

The grid system includes an EMS (Energy Management System) that collects base power generation data, power facility information, and power facility characteristic information in the region, and the grid data is data collected by the EMS when collecting the renewable energy generation information The power facility information may be information of power facilities connected to the local power system, and the power facility characteristic information may be information indicating characteristics of each power facility connected to the local power system.

A distributed parallel processing unit further comprising a distributed parallel processing unit providing weather data of the region to the renewable energy control infrastructure, wherein the application unit includes a weather prediction module generating weather forecast information of the renewable energy generation zone based on the weather data; A renewable energy output prediction module for generating output prediction information of the renewable energy generation zone based on the weather prediction information and the grid data; Based on the power facility characteristic information and power facility information, and based on the dynamic and static information of the power facility, the magnitude and phase angle of the bus voltage are calculated accurately, and the overload and bus voltage of the line and transformer are calculated based on the calculated values. Other system analysis modules that generate state estimation result information for detecting constraint violations and reactive power constraint violations of generators and synchronous ancestors; a stability evaluation module generating stability evaluation information of the local power system based on at least two or more of the output prediction information, state estimation result information, power facility characteristic information, and power facility information; An acceptance limit evaluation module for generating acceptance limit evaluation information based on voltage standard violation degree, facility and transmission line overload degree, transient stability, renewable energy LVRT (Low Voltage Ride Through) and fault current magnitude of the local power system; A renewable energy output control module generating the output control information based on the stability evaluation information and the acceptance limit evaluation information, wherein the weather prediction information, the output prediction information, the state estimation result information, the stability evaluation information, The acceptance limit evaluation information and the output control information may be returned to the renewable energy control infrastructure.

The renewable energy generation source is a wind power generation source, and the renewable energy output prediction module collects wind speed and wind power generation data for a period of time of the renewable energy generation source, and at least some of the wind speed and wind power generation data for a period of time. An ARIMAX model is set based on the wind power generation data to estimate a first amount of power generation, and a polynomial regression model is set based on at least some wind speed and wind power generation data among the wind speed and wind power generation data for the predetermined period to estimate a second amount of power generation , Estimating the third generation amount based on the wind speed data of a point near the renewable energy generation source, and using the first generation amount, the second generation amount, the third generation amount, and the past wind speed and wind power generation data of the renewable energy generation source Output prediction information based on an analog ensemble may be generated.

The renewable energy output prediction module collects wind speed prediction data of a point near the renewable energy power source and spatial data near the renewable energy power source, and predicts the wind speed of the renewable energy power source location based on a kriging technique. And, based on the Deacon equation, the wind speed may be corrected according to the altitude of the renewable energy generation source, and the third generation amount may be estimated based on the corrected wind speed.

The renewable energy control infrastructure includes an infrastructure management unit, and the infrastructure management unit includes an in-memory database management module, an integrated process management module, an alarm/event management module, and a log management module, and the in-memory database management module Controls the execution, control, status management of the in-memory database unit and processes of modules belonging to the application unit, and the integrated process management module includes process management information, preset priorities, and current information of each component in the renewable energy control infrastructure. Controls the process of each component in the renewable energy control infrastructure based on the status, stores and handles alarms and events generated in the control process, and the alarm/event management module stores alarm and event information generated in the grid system. and handling, transmits the alarm and event information to the integrated control unit and the distributed parallel processing unit, and the log management module refers to the process log information stored in the in-memory database unit to create a log file, log level Log information may be recorded in the log file according to, and the log information in the log file may be deleted according to a predetermined cycle.

The renewable energy control infrastructure is connected to the infrastructure management unit, and stores the process management information, meta information of the in-memory database, the power facility modeling information, the power facility characteristic information, and module information of the SCADA module An infrastructure management information memory may be further included.

The distributed parallel processing unit may receive weather data of the region from an external weather database or weather server and provide the received weather data to the renewable energy control infrastructure.

The renewable energy control infrastructure includes a real-time database, and the real-time database may store the system data and information returned from the application unit.

The distributed parallel processing unit includes a data collection unit that collects data and information stored in the real-time database; a data loading unit that distributes the data or information collected by the data collection unit and loads them into a non-relational database or a distributed file system; a data processing search unit for querying the data or information loaded in the data loading unit, converting the data into a predetermined format, and warehousing the converted data; and a data analysis application unit that secondarily analyzes the stability of the local power system.

The data collection unit includes a first distributed queue module, a systematic data collection/loading module, a second distributed queue module, and a meteorological data collection/loading module, and the first distributed queue module is connected to the real-time database to store data in the real-time database. The stored data is received and pushed to the grid data collection/loading module, and the second distributed queue module is connected to at least one of a distribution automation system, a metering data management system, a meteorological database, and a meteorological server to receive data and the meteorological data You can push to the collection/loading module.

The data processing search unit includes a SQL processing engine, an aggregate information generation module, an aggregate information generation history management module, and a data warehousing module, and the SQL processing engine queries the data loaded in the non-relational database or the distributed file system to obtain loading into the data warehousing module, the aggregated information generating module generates aggregated information of the loaded data in the non-relational database or distributed file system and loads it into the data warehousing module, and the aggregated information generation history management module generates the aggregated information of the load data Generation history information of aggregated information, main aggregated information, and statistical meta information may be created and loaded into the data warehousing module.

The data analysis application unit learns based on the data stored in the data warehousing module, receives at least some of the data loaded in the non-relational database or the distributed file system as an input value, and estimates the amount of renewable energy generation in the region. A neural network model may be included.

According to an embodiment of the present invention, based on the grid data collected through the SCADA module of the grid system, the regional power usage environment data, and the meteorological data, the output of renewable energy sources in the region is predicted to generate output control information, , Since each renewable generation zone in the region or each renewable energy generation source belonging to each renewable generation zone is controlled using output control information, the load of the power system due to intermittency of renewable energy can be reduced.

In addition, according to an embodiment of the present invention, it is possible to predict the output of a renewable energy generation source, so it is possible to establish a power generation plan in advance based on the predicted value, and it is possible to reduce power system operating costs through automatic control.

In addition, according to an embodiment of the present invention, since a vast amount of system data and information generated according to the operation of the application unit are stored/managed/analyzed by the distributed parallel processing unit, the overall data processing capability of the regional renewable energy integrated control system is improved. It can be.

The effects of the present invention are not limited to the above effects, and should be understood to include all effects that can be inferred from the description of the present invention or the configuration of the invention described in the claims.

1 is a diagram for explaining a process in which a load is generated in a power grid due to intermittence of renewable energy generation.
Figure 2 is a block diagram schematically showing a regional renewable energy integrated control system according to an embodiment of the present invention.
3 is a view for explaining a renewable generation information collection unit and a related system system according to an embodiment of the present invention.
4 is a block diagram illustrating a renewable energy pipe infrastructure and an application unit according to an embodiment of the present invention.
5 is a diagram for explaining a process in which a renewable energy control infrastructure according to an embodiment of the present invention is linked with an integrated control unit and a distributed parallel processing unit.
6 is a diagram for explaining a process of controlling a system or querying/editing system data according to a user's input.
7 is a diagram specifically illustrating an in-memory database query language according to an embodiment of the present invention.
8 is an example of commands included in an in-memory database query language according to an embodiment of the present invention.
9 is an exemplary diagram for explaining a process in which a renewable energy output prediction module according to an embodiment of the present invention generates output prediction information of a power generation zone in a region.

Hereinafter, the present invention will be described with reference to the accompanying drawings. However, the present invention may be embodied in many different forms and, therefore, is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is said to be "connected (connected, contacted, combined)" with another part, this is not only "directly connected", but also "indirectly connected" with another member in between. "Including cases where In addition, when a part "includes" a certain component, it means that it may further include other components without excluding other components unless otherwise stated.

Terms used in this specification are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, terms such as "include" or "have" are intended to indicate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Figure 2 is a block diagram schematically showing a regional renewable energy integrated control system according to an embodiment of the present invention.

As shown in FIG. 2, the regional renewable energy integrated control system includes a renewable energy generation information collection unit 100, a grid system 200, a renewable energy control infrastructure 300, an application unit 400, and an integrated control unit ( 500) and a distributed parallel processing unit 600.

The renewable generation information collection unit 100 may collect generation information of each renewable energy generation zone in the region. For example, the renewable generation information collection unit 100 may include a plurality of information collection terminals 110, 120, and 130 and may be respectively installed in a plurality of renewable energy development zones. Specifically, the plurality of information collection terminals 110, 120, and 130 may be field terminal devices installed to monitor, measure, and control renewable energy sources in each renewable energy development zone.

For example, the renewable power generation information collection unit 100 converts meter CT and PT measured values to digital conversion and data transmission to a renewable power generation data linkage module, converts and relays transmission to an information communication method requested by a renewable power generation data linkage module, It can perform the function of collecting and transmitting power quality basic information.

For example, the generation information collected by each of the information collection terminals 110, 120, and 130 belonging to the renewable generation information collection unit 100 may be converted into a predetermined protocol and transmitted to the system system 200.

The grid system 200 may monitor the state of the power grid in the region based on the collected power generation information. In addition, the grid system 200 may collect and manage power generation information from not only renewable energy generation zones in the region but also base power generation zones (P).

And the grid system 200 may transmit the collected information to the renewable energy control infrastructure 300 . Hereinafter, information transmitted by the system system 200 to the renewable energy control infrastructure 300 will be referred to as system data.

On the other hand, the renewable energy control infrastructure 300 provides an execution environment necessary for performing overall functions of the regional integrated renewable energy control system.

For example, the renewable energy control infrastructure 300 may be interlocked with the application unit 400, based on system data, weather prediction, renewable energy output prediction, power system stability evaluation, renewable energy output control, input/output data management, And an execution environment for performing alarm processing may be provided.

In addition, the renewable energy control infrastructure 300 includes a system system 200, an application unit 400, an integrated control unit 500, and a distributed parallel processing unit 600 belonging to a regional unit renewable energy integrated control system. It is connected to the components and can control the overall process of the regional renewable energy integrated control system.

Each configuration and function of the renewable energy control infrastructure 300 will be described in detail with reference to FIG. 4 .

In addition, the application unit 400 may predict or calculate various information required for stable operation of the power system in association with the renewable energy control infrastructure 300 .

For example, the application unit 400 may receive system data from the renewable energy control infrastructure 300 . In addition, the application unit 400 may perform weather prediction, renewable energy output prediction, system safety evaluation, acceptance limit evaluation, and other system analysis based on system data, and generate renewable energy output control information based on the performance results. can do. In addition, the application unit 400 may return information generated in each process to the renewable energy control infrastructure 300 .

And the output control information may be transmitted to each information collection terminal (110, 120) via the grid system 200, the amount of power generation of each renewable energy generation source may be controlled based on the output control information. Of course, this series of control processes may be performed automatically.

And, the integrated control unit 500 may be connected to the renewable energy control infrastructure 300 . The integrated control unit 500 receives information from the renewable energy control infrastructure 300 ( or , starting from the renewable energy control infrastructure 300 and passing through the distributed parallel processing unit 600), and the received information It can be visualized and presented to users. For example, the integrated control unit 500 may be provided to the user as a web-based user interface.

In addition, the distributed parallel processing unit 600 may receive system data from the renewable energy control infrastructure 300 and may distribute or parallel process the received system data. For example, the distributed parallel processing unit 600 may perform functions of collecting, loading, processing, searching, analyzing, and applying system data. The detailed configuration and function of the distributed parallel processing unit 600 will be described in detail with reference to FIG. 5 .

Figure 3 is a view for explaining the renewable generation information collection unit 100 and the related system 200 according to an embodiment of the present invention.

As shown in FIG. 3 , the reproduction and development information collection unit 100 may include a plurality of information collection terminals. In FIG. 3 , for convenience of description, it is assumed that the reproduction and generation information collection unit 100 includes a first information collection terminal 110 and a second information collection terminal 120 .

The first information collection terminal 110 may be connected to the first renewable energy generation source R11 in the first power generation zone. For example, the first renewable energy source R11 may be wind power.

For example, the first renewable energy generation source R11 may be sequentially connected to the transformer R12, the circuit breaker R13, and the first information collection terminal 110 through a distribution line.

The transformer may boost the electrical energy produced by the first renewable energy generation source R11 to a distribution level voltage.

The circuit breaker can be installed in the distribution line and can detect whether an abnormal current occurs due to an overcurrent short circuit or a ground fault. In addition, the circuit breaker can block the flow of current when an abnormal current occurs. For example, the breaker may be a vacuum circuit breaker (VCB).

Also, the first information collection terminal 110 may be connected to a measurement point or a breaker R13 of a distribution line through which renewable energy is transmitted. Also, the first information collection terminal 110 may measure power information of a measuring point or a circuit breaker. For example, the first information collection terminal may be connected to a measurement point through a PT and CT cable for measurement.

And, the first information collection terminal 110 may transmit the measured power information to the grid system 200 . At this time, the first information collection terminal 110 may convert the power information according to a predetermined protocol. For example, the predetermined protocol may be any one of Modbus, DNP, and K-DNP.

Meanwhile, the first information collection terminal 110 may be connected to the first renewable energy source R11 with the first control device R14 interposed therebetween. For example, the first information collection terminal 110 may receive output control information from the system system 200 . Also, the first information collection terminal 110 may control the output of the first renewable energy source R11 using the first control device R14 based on the received output control information.

Specifically, the first information collection terminal 110 may receive monitoring and measurement control information received from the renewable generation data linkage module connected to the grid system 200 through a modem. In addition, the first information collection terminal 110 may transmit the request to a lower destination (eg, the first control device R14) according to a preset protocol (eg, Modbus) address. At this time, the lower destination may be an inverter (not shown) connected to the first renewable energy power source R11.

In short, the first information collection terminal 110 is based on the output control information received from the grid system 200, the first renewable energy generation source (R11) to increase or decrease the amount of power generation of the first renewable energy generation source (R11). You can control it.

Meanwhile, the second information collection terminal 120 may be connected to the second renewable energy generation source R21 in the second power generation zone. For example, the second renewable energy source R21 may be photovoltaic power generation. Hereinafter, a description of a configuration overlapping with the first information collection terminal 110 among the configurations of the second information collection terminal 120 will be omitted.

For example, the second renewable energy generation source R21 may be sequentially connected to the inverter R22, the transformer R23, the circuit breaker R24, and the second information collection terminal 120 through a distribution line.

The inverter R22 may convert DC energy stored in the collector plate of the second renewable energy generation source R21, that is, the solar collector plate, into AC energy.

Also, the second information collection terminal 120 may be connected to a measurement point or a circuit breaker R24 of a distribution line through which renewable energy is transmitted. Also, the second information collection terminal 120 may measure power information of a measurement point or circuit breaker R24.

Meanwhile, the second information collection terminal 120 may be directly connected to the inverter R22. Also, the second information collection terminal 120 may receive output control information transmitted through the system system 200 . Also, the second information collection terminal 120 may control the amount of power generation of the second renewable energy source R21 by controlling the inverter R22 based on the received output control information.

In the above, it has been described that the first information collection terminal 110 and the second information collection terminal 120 control the generation amount of the renewable energy generation source using the first control device R14 and the inverter R22, respectively, but each A configuration in which the information collection terminals 110 and 120 control the amount of power generation by controlling other configurations in each power generation zone is also included in the technical spirit of the present invention.

Meanwhile, each of the information collection terminals 110 and 120 belonging to the renewable generation information collection unit 100 may be a remote terminal unit (RTU). In addition, the information collection terminal may measure power information of measurement points at intervals of up to 1 second. This is because it is necessary to monitor and analyze the instantaneous system effects due to the characteristics of renewable energy generation sources with very fast output fluctuations and large fluctuations.

That is, each of the information collection terminals 110 and 120 can accurately time-synchronize the renewable power generation status by measuring power information at intervals of up to 1 second.

And, the generation information collected by the renewable generation information collection unit 100, that is, the power information, may be transmitted to the grid system 200 via a renewable generation data linkage module.

The renewable power generation data linkage module T1 may collect power generation information transmitted from the renewable power generation information collection unit 100 and transmit it to the grid system 200 . In addition, the renewable generation data linkage module T1 may transmit the control signal received from the grid system 200 to each of the information collection terminals 110 and 120 belonging to the renewable generation information collection unit 100.

On the other hand, the grid system 200 may monitor the state of the power system in the region based on the collected power generation information.

To this end, the grid system 200 may include a Supervisory Control And Data Acquisition (SCADA) module 210 for controlling power sources in each renewable generation zone and collecting information. The SCADA module 210 may collect power generation information generated in each power generation zone in a region in real time.

In addition, the grid system 200 may include an energy management system (EMS) 220 that collects base power generation data of base load sources in a region and power usage environment data on consumption in the region. In this case, the base power source refers to a power source other than a renewable energy source in the region. However, it goes without saying that the EMS 220 may collect power generation data of all power sources in the region. Also, the EMS 220 may functionally include the SCADA module 210 .

4 is a block diagram illustrating a renewable energy control infrastructure 300 and an application unit 400 according to an embodiment of the present invention.

As shown in FIG. 4, the renewable energy control infrastructure 300 includes a system system connection unit 310, an in-memory database unit 320, an infrastructure management unit 330, an infrastructure management information memory 340, and a real-time A connection unit 350 may be included.

The system system association unit 310 may include a system data reception module 311 and a control message transmission module 312 .

The system data reception module 311 may receive facility information and real-time power generation information necessary for the operation of the application unit 400 from the system system 200 .

For example, the grid data reception module 311 may receive real-time generation information of each power generation zone in a region from the SCADA module 210 . In addition, the grid data receiving module 311 may receive facility information of each power generation zone in the region from the EMS system 220 .

Also, the system data reception module 311 may receive weather data from the distributed parallel processing unit 600 . For example, weather data may be data collected by the distributed parallel processing unit 600 from an external server. For example, the weather data may include at least one of balance forecast data, meteorological office observation data, power generation complex data, and insolation measurement data. At this time, the meteorological data may be collected by other components belonging to a renewable energy control system such as the grid system 200 in addition to the distributed parallel processing unit 600, of course.

In addition, the control message transmission module 312 may transmit output control information generated through association between the renewable energy control infrastructure 300 and the application unit 400 to the system system 200 . For example, the output control information may be delivered to each information collection terminal 110 or 120 of each power generation zone in the region via the SCADA module 210 .

The in-memory database unit 320 may include a real-time database 321 and an application database 322 .

The real-time database 321 may store facility information, real-time power generation information, and meteorological data received by the system data reception module 311 from the system system 200 . In addition, the real-time database 321 may provide the application unit 400 with stored facility information, real-time generation information, weather data, and the like.

In addition, the application unit 400 includes a weather information prediction module 410, a renewable energy output prediction module 420, a stability evaluation module 430, an acceptance limit evaluation module 440, a renewable energy output control module 450, and others. A system analysis module 460 may be included.

The weather information prediction module 410 may generate weather forecast information of a renewable energy generation zone in the region based on weather data. For example, weather prediction information may be predicted values such as insolation, wind speed, and temperature.

In addition, the renewable energy output prediction module 420 may generate output prediction information of each renewable energy generation zone in the region based on the weather prediction information and system data. At this time, the output prediction information may be the amount of power predicted to be generated in each renewable energy generation zone.

In addition, the stability evaluation module 430 may generate stability evaluation information of the power system based on at least two or more of output prediction information, state estimation result information, power facility characteristic information, and power facility information.

At this time, the power facility characteristic information is information for managing the characteristics of each power facility, and may be information such as facility name, capacity, facility type, dynamic information, generation amount, frequency, and power factor. Also, the power facility information may be power facility information linked to the power system. For example, a power facility connected to a power system may be a generator, a transformer, or a switch. In addition, the state estimation result information is based on the power facility characteristic information and power facility information, and based on the dynamic and static information of the power facility, the exact magnitude and phase angle of the bus voltage are calculated, and the line and transformer are calculated based on the calculated values. It may be information that detects overload, bus voltage constraint violation, and reactive power constraint violation of generators and synchronous ancestors. Such power facility characteristic information, power facility information, and state estimation result information may be generated by other system analysis modules 460 . Meanwhile, the power facility characteristic information and the power facility information may be information transmitted from the grid system.

Also, the stability evaluation information may be information obtained by evaluating transient stability, voltage stability, and the like during a normal state or a transient state before and after a disturbance by reflecting dynamic characteristics of a power facility based on a static state of the power system.

Next, the acceptance limit evaluation module 440 is a module for analyzing the acceptance limit for responding to the output variability of renewable energy, and may periodically evaluate the acceptance limit for the processed system data including output prediction information.

For example, the acceptance limit evaluation module 440 may generate acceptance limit evaluation information based on voltage standard violation degree, facility and transmission line overload degree, transient stability, renewable energy LVRT (Low Voltage Ride Through), and fault current size. there is.

Here, the voltage reference violation degree may be determined based on a voltage change analysis result or a voltage maintenance standard and voltage regulation target violation analysis result according to the local power system in the event of an assumed failure. Here, the assumed failure means a hypothetical single or multiple power facility failure that may occur in the power system.

In addition, the facility and transmission line overload degree may be determined based on the result of analyzing the transformer and transmission line overload in the system according to the assumed failure or the current flow change analysis result due to the output change of renewable energy.

In addition, the transient stability may be determined based on the phase angle instability analysis result after the assumed failure. At this time, screening through linearization may be performed prior to determining the transient stability.

In addition, the renewable energy LVRT may be determined based on the LVRT standard violation analysis result of the renewable energy transient voltage waveform at the time of the assumed failure.

And, the magnitude of the fault current may be the magnitude of the fault current calculated based on the power contribution of renewable energy.

Next, the renewable energy output control module 450 may generate output control information based on the stability evaluation information and the acceptance limit evaluation information. For example, the output control information may be power generation control information of each renewable energy generation zone in the region.

In addition, the application unit 400 may return each information generated in the process of generating the output control information together with the output control information to the renewable energy control infrastructure 300 . As an example, the application unit 400 transmits power facility characteristic information, power facility information, output control information, output prediction information, weather prediction information, state estimation result information, stability evaluation information, and acceptance limit evaluation information to a renewable energy control infrastructure ( 300) to return.

Specifically, information returned by the application unit 400 may be returned to the application database 322 in the in-memory database unit 320 . Also, the returned information may be recorded in the real-time database 321.

That is, the real-time database 321 may store all information returned from the application unit 400 as well as system data acquired from the system system 200 and meteorological data obtained from the distributed parallel processing unit 600.

Also, the information stored in the real-time database 321 may be provided to the integrated control unit 500 or the distributed parallel processing unit 600. In addition, power sources belonging to each renewable power generation zone in the region may be controlled based on the returned information.

Meanwhile, the infrastructure management unit 330 may include an in-memory database management module 331 , an integrated process management module 332 , an alarm/event management module 333 and a log management module 334 .

The in-memory database management module 331 may perform execution, control, and status management of the in-memory database unit 320 . In addition, the in-memory database management module 331 may execute and manage a management process (node management, integrated management process, etc.) for controlling applications operating based on the in-memory database unit 320 .

The integrated process management module 332 refers to the information stored in the in-memory database unit 320 (process management information, priority, current status, etc.) to execute, control, and schedule processes of each component in the renewable energy control infrastructure. It can perform management, state management, process alarms and event handling.

The alarm/event management module 333 may store and handle alarm and event information generated in the system system 200 and transmit the alarm and event information to the integrated control unit 500 and the distributed parallel processing unit 600.

The log management module 334 refers to the process log information stored in the in-memory database unit 320 to create a log file, records the log information in the log file according to the log level, and records the log file according to a predetermined cycle. Log information can be deleted.

In addition, the infrastructure management information memory 340 includes process management information necessary for driving each module in the infrastructure management unit 330, in-memory database meta information, power facility modeling information, power facility characteristic information, and SCADA module 210 information can be stored. That is, the infrastructure management unit 330 may access the infrastructure management information memory 340 to load and use data necessary for operation when a module belonging therein is driven.

And, the real-time connection unit 350 may include a real-time transmission module 351, a real-time control module 352 and a real-time reception module 353, and the renewable energy control infrastructure 300 and the integrated control unit 500 and the distributed parallel processing unit 600 perform communication.

5 is a diagram for explaining a process in which the renewable energy control infrastructure 300 according to an embodiment of the present invention is linked with the integrated control unit 500 and the distributed parallel processing unit 600.

As shown in FIG. 5 , the real-time transmission module 351 may transmit information stored in the in-memory database unit 320 to the distributed parallel processing unit 600 .

The distributed parallel processing unit 600 may provide a distributed parallel processing environment for distributing and rapidly processing data acquired in large quantities from the grid system 200 associated with the renewable energy control infrastructure 300 .

This is because the amount of system data acquired in relation to renewable energy generation information and data generated as a result of the operation of the application unit 400 is enormous. These data have high utilization as basic data for analysis and prediction of system risk according to the increase in renewable energy, but when information is collected in multiple regions, it is not easy to store and analyze due to the large amount of data.

That is, the distributed parallel processing unit 600 according to an embodiment of the present invention can perform storage and analysis of large-capacity data, and through tools such as the visualization analysis module 641, the stability and reliability of the local grid for renewable energy can be improved. It functions so that it can accurately calculate.

Specifically, the distributed parallel processing unit 600 may include a data collection unit 610, a data loading unit 620, a data processing search unit 630, and a data analysis application unit 640.

The data collection unit 610 may collect data from the renewable energy control infrastructure 300 or an external network or server.

To this end, the data collection unit 610 may include a first distributed queue module 611, a system data collection/loading module 612, a second distributed queue module 613, and a meteorological data collection/loading module 614. there is.

The first distributed queue module 611 may receive data stored in the real-time database 321 in the in-memory database unit 320 from the real-time transmission module 351 . For example, the first distributed queue module 611 may be system data or a plurality of pieces of information data generated by the application unit 400 . Also, the first distributed queue module 611 may push the received data.

Then, the system data collection/loading module 612 pulls the data loaded in the first distributed queue module 611 to receive the data, and stores the received data in the non-relational database 621 in the data loading unit 620 or It can be loaded into the distributed file system 622. For example, the non-relational database 621 may be No-SQL. For example, the distributed file system 622 may be a Hadoop Distributed File System (HDFS).

Meanwhile, the second distributed queue module 613 may be connected to an external network, system or server.

As an example, the second distributed queue module 613 is connected to a distribution automation system (DAS) (I1), and information about the status information, current, voltage, or failure of distribution facilities from a distribution line automation terminal device. can receive

As another example, the second distributed queue module 613 may receive metering data by being connected to a meter data management system (MDMS) (I2).

As another example, the second distributed queue module 613 may be connected to the weather database I3 or the weather server I3 to receive local weather data.

Also, the second distributed queue module 613 may transmit information to the weather data collection/loading module 614 . And the system data collection/loading module 612 pulls the data loaded in the second distributed queue module 613 to receive the data, and transfers the received data to the non-relational database 621 in the data loader 620 or distributed data. It can be loaded into the file system 622.

Meanwhile, the loaded weather data may be transmitted to the real-time reception module 353 via the first distributed queue module or the second distributed queue module. In addition, the weather data received by the real-time receiving module 353 may be transferred to the real-time database 321 and used as a basis for generating weather prediction information.

The memory cache 623 may function as a cache memory in the process of storing data received by the first distributed queue module 611 in the non-relational database 621 or the distributed file system 622 .

The data processing search unit 630 may include a SQL processing engine 631, a data warehousing module 632, an aggregate information generation module 633, and an aggregate information generation history management module 634.

The SQL processing engine 631 may query, manage, or process loaded data in association with the non-relational database 621 or the distributed file system 622.

In addition, the aggregated information generation module 633 may generate aggregated information based on the load data of the non-relational database 621 or the distributed file system 622, and then load the aggregated information into the data warehousing module 632.

In addition, the aggregate information generation history management module 634 may generate history information, generation history information, or main aggregate/statistic meta information when generating aggregate information, and load and process the data warehousing module 632 .

Also, the data warehousing module 632 may be connected to the SQL processing engine 631 . For example, the data warehousing module 632 may be a database that converts data loaded by the SQL processing engine from the non-relational database 621 or the distributed file system 622 into a predetermined format and manages the data. In addition, the data warehousing module 632 may transmit data converted in a predetermined format to the integrated control unit 500 upon request from the integrated control unit 500 .

In addition, the data analysis application unit 640 may perform a secondary analysis on the stability of the local power system for renewable energy using the visualization analysis module 641 . For example, the visualization analysis module may analyze and visualize data stored in the data warehousing module 632 as power data. In addition, the data analysis application unit 640 learns based on the data stored in the data warehousing module 632, and receives at least some system data as an input value to predict the amount of renewable energy generation in the region. city) may be included.

Meanwhile, the integrated control unit 500 may receive data from the distributed parallel processing unit 600, that is, the data warehousing module 632, visualize the received data, and provide the data to the user. At this time, the integrated control unit 500 may receive data directly from the data that does not go through the distributed parallel processing unit 600, that is, from the renewable energy control infrastructure 300.

For example, the integrated control unit 500 includes a real-time monitoring module 510, an infrastructure resource monitoring module 520, a distributed parallel resource monitoring module 530, a power facility information management module 540, and a renewable energy monitoring/control process. It may include a management module 550, an infrastructure process management module 560, and a statistics and aggregated information management module 570.

The real-time monitoring module 510 may provide various information required for power system management.

For example, the real-time monitoring module 510 provides the user with real-time renewable power generation comprehensive status information, real-time weather information comprehensive status information, and real-time link status information for each line based on the data received from the distributed parallel processing unit 600. can

In addition, the real-time monitoring module 510 monitors the status of the SCADA module 210, the EMS system 220, the distribution automation system I1, the metering data management system I2 or the weather database I3, and the threshold value ( Collection period, speed, I/O, etc.) can be set to provide an alarm function when the threshold is exceeded.

In addition, the real-time monitoring module 510 may provide a function capable of monitoring Mvar information, controllable capacity information, facility capacity, and meteorological information suitable for the type of generator of each renewable energy power source in the region.

In addition, the real-time monitoring module 510 may provide a function capable of monitoring voltage, supply capacity, current load, output, and the like for each DL unit generator.

In addition, the real-time monitoring module 510 may provide a function capable of monitoring information on renewable energy sources, current measured output values, predicted output values, weather prediction information, and the like.

In addition, the real-time monitoring module 510 may provide real-time event information of renewable energy sources and provide an alarm function when a set threshold value is exceeded or exceeded.

In addition, the infrastructure resource monitoring module 520 may provide a function capable of monitoring the CPU usage rate, Memory usage rate, Disk usage rate, RTDB status information, etc. of components in the renewable energy control infrastructure 300 .

And, the distributed parallel resource monitoring module 530 performs real-time DISK IO of each component in the distributed parallel processing unit 600. Provides the ability to monitor cluster CPU utilization, network IO, and distributed file system (622) IO.

Also, the power facility information management module 540 may manage power facility characteristic information, modeling (layer/link) information, and information acquired by the SCADA module 210 .

And, the renewable energy monitoring/control process management module 550 may monitor the state of each renewable energy generator belonging to each renewable power generation zone in the region. For example, the renewable energy monitoring/control process management module 550 may monitor real-time generation information of each renewable energy generation source collected by the SCADA module 210. For example, the renewable energy monitoring/control process management module 550 may obtain real-time generation information of each renewable energy generation source from system data.

In addition, the renewable energy monitoring/control process management module 550 may monitor alarm and event information. At this time, the monitored information may be visualized and provided to the user.

In addition, the infrastructure process management module 560 provides a function capable of performing schedule inquiry, registration, modification, deletion, and execution management of each component in the renewable energy control infrastructure 300 .

In addition, the statistics and aggregated information management module 570 provides statistics management functions for data collection status, alarm data, event data, and system data.

Meanwhile, the renewable energy detection/control process management module 550 may transmit a control message to the real-time control module 352 in the real-time connection unit 350 of the renewable energy control infrastructure 300 . In addition, the real-time control module 352 may transmit a control message to a terminal device of each power generation zone in the region through the control message transmission module 312 in the grid system linking unit 310 . At this time, the control message generated by the renewable energy detection/control process management module may be preferentially applied to a control command transmitted to each renewable energy generation zone in the region, that is, each information collection terminal. For example, the control message may be applied prior to output control information.

6 is a diagram for explaining a process of controlling a system or querying/editing system data according to a user's input.

The user may input various messages necessary for management of the renewable energy integrated control system through the integrated control unit 500 . The integrated control unit 500 may be implemented based on WEB and provided to users.

For example, the user may be provided with various information required for system management through the real-time monitoring module 510 and the power facility information management module 540. In addition, the user may input a message necessary for management of the renewable energy integrated control system to the renewable energy detection/control process management module 550.

The command input by the user to the integrated control unit 500 may be implemented as a preset in-memory database query language (IQL). The in-memory database query language is a predefined language for controlling SCADA or efficiently querying/editing systematic data stored in the in-memory database unit 322.

The in-memory database query language may include at least one of a control message and a database message, and may be transmitted to the real-time interface 350 .

When the message received by the real-time connection unit 350 is a control message, the real-time connection unit 350 may transmit the control message to the branch system 200 . For example, the renewable energy generation amount of each renewable energy generation zone in the region may be adjusted based on the control message.

When the message received by the real-time association unit 350 is a database message, the real-time association unit 350 may transmit the database message to the in-memory database unit 322 . Also, based on the database message, at least some of system data and output control information in the in-memory database unit 322 may be inquired or edited. And the resulting value may be returned to the integrated control unit 500 .

7 is a diagram specifically illustrating an in-memory database query language according to an embodiment of the present invention. 8 is an example of commands included in an in-memory database query language according to an embodiment of the present invention.

The in-memory database query language may be in JSON (JavaScript Object Notation) format and may include a plurality of preset commands.

Also, the real-time connection unit 350 may receive the in-memory database query language generated by the integrated control unit 500 and perform a preset function according to the type of command.

For example, the database message includes an INSERT command for inputting at least some values of system data and output control information, a SELECT command for inquiring at least some values of system data and output control information, and a modification of at least some values of system data and output control information. UPDATE command, DELETE command for deleting at least some values of system data and output control information, TBL command for designating a specific table among system data and output control information, COL command for designating a specific column among system data and output control information, system It may include a LOOKUP command for searching for at least some values of data and output control information, and a WHERE command for conditionally searching for at least some values of system data and output control information.

For example, the control message includes information for SCADA control, and the grid system 200 may be controlled according to the control message.

Meanwhile, as shown in FIG. 7, each command may be requested to a port of a specific domain.

For example, when an INSERT command is executed, the INSERT command may be transmitted to a port of a specific domain, such as 'http://domain:port/in-memory/insert'.

In addition, each command may be used in conjunction with each other. For example, when selecting a specific row of a specific table, SELECT, TBL, and COL commands may be used in conjunction with each other as follows.

"SELECT":{

"TBL":["DIVISION:A"]

,"COL":["A.ID","A.RIDX","A.VALUE"]

}

In addition, as shown in FIG. 8, the in-memory database query language may have a sequence ID assigned to each function such as a process management API and real-time control. FIG. 9 is a renewable energy output prediction module ( 420) is an exemplary diagram for explaining a process of generating output prediction information of a power generation zone in a region.

In FIG. 9 , for convenience of explanation, it will be described as an example of a renewable energy generation source located in a power generation area being a wind power generation source.

First, as shown in (a) of FIG. 9 , a step of collecting wind speed and wind power generation data of a renewable energy source for a certain period of time may be performed. (S510)

In this case, when the renewable energy generation source is not a wind power generation source, wind speed and wind power generation data may be replaced with meteorological data, of course.

Then, a step of setting an ARIMAX model based on at least some wind speed and wind power generation data among the data collected in step S510 and estimating the first generation amount may be performed. (S520)

Then, a step of estimating the second generation amount by setting a polynomial regression model based on at least some wind speed and wind power generation data among the data collected in step S510 may be performed. (S530)

Then, a step of estimating a third power generation amount based on wind speed data at a nearby point of a renewable energy power source may be performed. (S540)

Then, a step of calculating a predicted value of the generation amount based on the analog ensemble using the first generation amount, the second generation amount, the third generation amount, and past data among the data collected in step S510 may be performed. (S550)

(b) of FIG. 9 is a flowchart for explaining the process of estimating the third generation amount in step S540.

As shown in (b) of FIG. 9 , a step of collecting wind speed prediction data of a point near a renewable energy power source and spatial data near the renewable energy power source may be performed. (S541)

Then, a step of predicting the wind speed of the location of the renewable energy power source based on a kriging technique may be performed. (S542)

In this case, the wind speed may be predicted in advance by the weather information prediction module 410 .

Then, a step of correcting the wind speed according to the altitude based on the Deacon equation may be performed. (S543)

Then, a step of estimating the third generation amount based on the corrected wind speed may be performed. (S544)

The above description of the present invention is for illustrative purposes, and those skilled in the art can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, the embodiments described above should be understood as illustrative in all respects and not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the following claims, and all changes or modifications derived from the meaning and scope of the claims and equivalent concepts should be interpreted as being included in the scope of the present invention.

100: renewable generation information collection unit 200: grid system
300: renewable energy control infrastructure 400: application unit
500: integrated control unit 600: distributed parallel processing unit

Claims (16)

A renewable energy control infrastructure that is connected to a grid system that collects renewable energy generation information from renewable energy sources in each renewable energy development zone in the region and collects system data including the renewable energy generation information;
An application unit that communicates with the renewable energy control infrastructure to receive the system data, determine power system stability of the region based on the system data, and generate output control information according to the power system stability; and
Including an integrated control unit that receives the system data and the output control information from the renewable energy control infrastructure and visualizes and provides them to the user,
The grid system collects the renewable energy generation information of the renewable energy generation source through a plurality of information collection terminals,
The renewable energy control infrastructure controls the renewable energy generation amount of each renewable energy generation zone in the region according to the output control information,
The renewable energy control infrastructure includes a real-time connection unit that communicates with the integrated control unit,
The integrated control unit generates an in-memory database query language according to a user's input and transmits it to the real-time connection unit;
The in-memory database query language includes at least one of a control message and a database message;
If the real-time linking unit receives the control message, it transmits the control message to the grid system to adjust the renewable energy generation amount of each renewable energy generation zone in the region,
If the real-time linking unit receives the database message, the system data and at least a portion of the output control information are retrieved or edited, and then the resultant value is returned to the integrated control unit. Regional renewable energy integrated control system.
The database message includes a plurality of preset commands in a JSON (JavaScript Object Notation) format,
The plurality of commands
an INSERT command for inputting at least some values of the system data and the output control information;
a SELECT command for inquiring at least some values of the system data and the output control information;
an UPDATE command for modifying at least some values of the system data and the output control information;
a DELETE command for deleting at least some values of the system data and the output control information;
a TBL command designating a specific table among the system data and the output control information;
a COL command designating a specific column among the system data and the output control information;
a LOOKUP command for searching at least some values of the system data and the output control information;
Regional renewable energy integrated control system comprising a WHERE command for conditionally searching at least some value of the system data and the output control information.
According to claim 1,
The control message controls the renewable energy generation amount of each renewable energy development zone in the region in preference to the output control information.
According to claim 1,
The system system is a regional renewable energy integrated control system that includes a SCADA (Supervisory Control And Data Acquisition) module that communicates with each of the plurality of information collection terminals in real time to collect the renewable energy generation information.
According to claim 4,
The grid system includes an EMS (Energy Management System) that collects base power generation data, power facility information, and power facility characteristic information in the region, and the grid data is data collected by the EMS when collecting the renewable energy generation information Including more,
The power facility information is information on power facilities connected to the local power system,
The power facility characteristic information is information indicating the characteristics of each power facility connected to the local power system.
According to claim 5,
Further comprising a distributed parallel processing unit for providing weather data of the region to the renewable energy control infrastructure,
The application part,
A weather prediction module generating weather prediction information of the renewable energy generation zone based on the weather data;
A renewable energy output prediction module for generating output prediction information of the renewable energy generation zone based on the weather prediction information and the grid data;
Based on the power facility characteristic information and power facility information, and based on the dynamic and static information of the power facility, the magnitude and phase angle of the bus voltage are calculated accurately, and the overload and bus voltage of the line and transformer are calculated based on the calculated values. Other system analysis modules that generate state estimation result information for detecting constraint violations and reactive power constraint violations of generators and synchronous ancestors;
a stability evaluation module generating stability evaluation information of the local power system based on at least two or more of the output prediction information, state estimation result information, power facility characteristic information, and power facility information;
An acceptance limit evaluation module for generating acceptance limit evaluation information based on voltage standard violation degree, facility and transmission line overload degree, transient stability, renewable energy LVRT (Low Voltage Ride Through) and fault current magnitude of the local power system;
A renewable energy output control module for generating the output control information based on the stability evaluation information and the acceptance limit evaluation information,
A regional renewable energy integrated control system that returns the weather prediction information, the output prediction information, the state estimation result information, the stability evaluation information, the acceptance limit evaluation information, and the output control information to the renewable energy control infrastructure. .
According to claim 6,
The renewable energy power source is a wind power source,
The renewable energy output prediction module collects wind speed and wind power generation data for a certain period of the renewable energy generation source,
Estimating a first amount of power generation by setting an ARIMAX model based on at least some wind speed and wind power generation data among the wind speed and wind power generation data for the predetermined period;
Estimating a second amount of power generation by setting a polynomial regression model based on at least some wind speed and wind power generation data among the wind speed and wind power generation data for the predetermined period;
Estimating a third power generation amount based on wind speed data at a point near the renewable energy power source,
Regional unit renewable energy integration to generate output prediction information based on an analog ensemble using the first generation amount, the second generation amount, the third generation amount, and past wind speed and wind power generation data of the renewable energy generation source control system.
According to claim 7,
The renewable energy output prediction module
Collect wind speed prediction data at a point near the renewable energy power source and spatial data near the renewable energy power source,
Predicting the wind speed of the renewable energy source location based on a Kriging technique,
Correcting the wind speed according to the altitude of the renewable energy source based on the Deacon equation,
Regional unit renewable energy integrated control system to estimate the third power generation based on the corrected wind speed.
According to claim 6,
The renewable energy control infrastructure includes an infrastructure management unit,
The infrastructure management unit includes an in-memory database management module, an integrated process management module, an alarm/event management module, and a log management module,
The in-memory database management module controls execution, control, status management of the in-memory database unit, and processes of modules belonging to the application unit;
The integrated process management module controls the process of each component in the renewable energy control infrastructure based on the process management information, preset priorities, and current status of each component in the renewable energy control infrastructure, and alarms and store and handle events;
The alarm/event management module stores and handles alarm and event information generated in the system system, transmits the alarm and event information to the integrated control unit and distributed parallel processing unit,
The log management module creates a log file by referring to the process log information stored in the in-memory database unit, records log information in the log file according to a log level, and records the log information in the log file according to a predetermined cycle. A regional renewable energy integrated control system that deletes information.
According to claim 9,
The renewable energy control infrastructure,
An infrastructure management information memory connected to the infrastructure management unit and storing the process management information, the meta information of the in-memory database, the power facility modeling information, the power facility characteristic information, and the module information of the SCADA module Further comprising A regional unit renewable energy integrated control system.
According to claim 6,
The distributed parallel processing unit receives the weather data of the region from an external weather database or weather server and provides it to the renewable energy control infrastructure.
According to claim 6,
The renewable energy control infrastructure includes a real-time database,
The real-time database stores the grid data and the information returned from the application unit. Regional renewable energy integrated control system.
According to claim 12,
The distributed parallel processing unit includes a data collection unit that collects data and information stored in the real-time database;
a data loading unit that distributes the data or information collected by the data collection unit and loads them into a non-relational database or a distributed file system;
a data processing search unit for querying the data or information loaded in the data loading unit, converting the data into a predetermined format, and warehousing the converted data; and
Regional unit renewable energy integrated control system that includes a data analysis application for secondly analyzing the stability of the regional power system.
According to claim 13,
The data collection unit includes a first distributed queue module, a system data collection/loading module, a second distributed queue module, and a meteorological data collection/loading module;
The first distributed queue module is connected to the real-time database, receives data stored in the real-time database, and pushes it to the system data collection/loading module;
The second distributed queue module is connected to at least one of a distribution automation system, a metering data management system, a weather database, or a weather server, receives data from a connected configuration, and pushes data to the weather data collection/loading module. Integrated energy control system.
According to claim 13,
The data processing search unit includes a SQL processing engine, an aggregate information generation module, an aggregate information generation history management module, and a data warehousing module,
The SQL processing engine queries the data loaded in the non-relational database or the distributed file system and loads the data into the data warehousing module;
The aggregate information generation module generates aggregate information of load data in the non-relational database or distributed file system and loads it in the data warehousing module;
The aggregated information generation history management module generates the generation history information of the aggregated information, main aggregates and statistical meta information and loads them into the data warehousing module.
According to claim 15,
The data analysis application unit learns based on the data stored in the data warehousing module, receives at least some of the data loaded in the non-relational database or the distributed file system as an input value, and estimates the amount of renewable energy generation in the region. A regional renewable energy integrated control system that includes a neural network model.

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