CN117349019A - Autonomous control terminal of distributed energy storage equipment and operation method - Google Patents
Autonomous control terminal of distributed energy storage equipment and operation method Download PDFInfo
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- CN117349019A CN117349019A CN202311396515.3A CN202311396515A CN117349019A CN 117349019 A CN117349019 A CN 117349019A CN 202311396515 A CN202311396515 A CN 202311396515A CN 117349019 A CN117349019 A CN 117349019A
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- 238000004458 analytical method Methods 0.000 claims abstract description 8
- 238000011217 control strategy Methods 0.000 claims description 3
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
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- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3006—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
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Abstract
The invention discloses an autonomous control terminal of distributed energy storage equipment, which comprises a data acquisition module, an edge calculation module, a decision control module and a communication module, wherein the data acquisition module, the decision control module and the communication module are all connected with the edge calculation module, the data acquisition module is used for acquiring data of the distributed energy storage equipment and sending the acquired data into the edge calculation module for analysis, and the decision control module makes a corresponding decision instruction to control the running state of the energy storage equipment according to an analysis result in the edge calculation module. Compared with the prior art, the CPU performance of the invention is high, and the data can be rapidly collected, calculated and analyzed; the memory and the storage space are large, and the cost of various algorithms can be met; the acquisition interfaces are diversified, and energy storage controllers of different types can be accessed; the remote network has diversified forms, multiple supported protocols and data can be accessed into master station systems of different types.
Description
Technical Field
The invention relates to the technical field of distributed energy storage regulation and control in the power industry, in particular to an intelligent distributed energy storage autonomous control terminal of a power system based on an edge computing technology.
Background
With the increasing demand for energy and the increasing environmental awareness, distributed energy storage technology has gained widespread attention. The energy storage installation scale target, market position and business mode in 2025 are clear, the relevant national and local policies are further perfected, the energy storage is accelerated to develop along with renewable energy, the application of novel ecosystems derived from superposition distributed power stations, charging piles, micro-grids and the like is realized, and the energy storage on the power generation side, the power grid side and the user side is in charge of new application demands.
However, conventional distributed energy storage systems often lack intelligent and autonomous capabilities, and do not allow for efficient utilization and management of energy.
Disclosure of Invention
In order to solve the existing problems, the invention provides an autonomous control terminal of a distributed energy storage device, which can realize intelligent management of the distributed energy storage device and can more comprehensively maintain daily operation.
The invention is realized by the following technical means:
the autonomous control terminal of the distributed energy storage device comprises a data acquisition module, an edge calculation module, a decision control module and a communication module, wherein the data acquisition module, the decision control module and the communication module are all connected with the edge calculation module, the data acquisition module is used for acquiring data of the distributed energy storage device and sending the acquired data into the edge calculation module for analysis, and the decision control module makes corresponding decision instructions according to analysis results in the edge calculation module to control the running state of the energy storage device.
The data acquisition modules are provided with a plurality of communication serial ports and network interfaces.
The communication serial port can be connected with multi-path equipment, and the maximum number of paths of the single-path communication interface connected with the energy storage controller is 32.
The network interface is a 10M/100M/1000M rate self-adaptive port.
The algorithm of the decision control module is applied to distributed energy storage self-control.
The communication module supports mobile networks of three operators, a power private network interface of 1.8GHz is arranged on the communication module, and the storage module is a Sqlite3 lightweight database.
An autonomous control terminal operation method comprises the following specific steps:
and (1) after the system is electrified, the autonomous control terminal reads configuration parameters from a local Sqlite3 database, and initializes each module including serial port parameters, network parameters and autonomous algorithm configuration parameters according to the parameters. The serial port initialization mainly works to configure the baud rate, the data bit, the check bit and the parity bit of the serial port arranged on the data acquisition module, and initialize the receiving and transmitting buffer; the network port initialization mainly works to configure various parameters of a network card where a network interface is located, including an IP address, a subnet mask and a gateway; initializing the communication module to mainly work as configuring APN parameters of the module and dial-up networking; initializing main work of an autonomous management and control algorithm into associated ledger information and data point location information;
and (2) after the initialization is successful, entering a normal working state. Entering a data acquisition step, and acquiring various data of distributed energy storage, such as SOC, SOH, battery voltage, current, active power and reactive power, through a serial port and/or a network port;
and (3) reading a calculation formula stored in the Sqlite3 database based on the configuration read in the step (1) and the data acquired in the step (2), and further calculating the data to generate new data. The data specifically related are: power, voltage, frequency of the grid-connected point; the power, the communication state and the working state of each energy storage device;
step (4), based on the configuration read in the step (1) and the data calculated in the step (3), reading a control strategy stored in a Sqlite3 database, matching a corresponding autonomous control algorithm according to the configured strategy, circularly comparing current target data with data in the strategy by the autonomous control algorithm, if the current target data is lower than a lower limit or higher than an upper limit, starting a decision control module, calculating an adjustment target value by the decision control module, decomposing a regulation instruction according to the current energy storage quantity, the capacity of each energy storage and the adjustable allowance, and then issuing the decomposed regulation instruction to each energy storage controller to execute regulation;
and (5) when the autonomous management and control terminal operates, the communication module can receive a control instruction of the remote master station at any time. At this time, the terminal will perform the corresponding operation according to the instruction. If the master station requests real-time data, the terminal sends the data to the master station through a communication module according to a point table defined in advance with the master station; if the master station executes the regulation and control operation, the terminal analyzes the regulation and control target of the master station, and then issues the regulation and control target to the corresponding energy storage inverter to execute the regulation and control operation; if the master station is to perform mode switching, the terminal enters/exits the autonomous control mode according to the requirements.
Compared with the prior art, the intelligent distributed energy storage autonomous control terminal based on the edge computing technology has the following beneficial effects:
1. the CPU performance is high, and data can be rapidly collected, calculated and analyzed;
2. the memory and the storage space are large, and the cost of various algorithms can be met;
3. the acquisition interfaces are diversified, and energy storage controllers of different types can be accessed;
4. the remote network has diversified forms, multiple supported protocols and data can be accessed into master station systems of different types.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent distributed energy storage autonomous control terminal based on an edge computing technology;
fig. 2 is a flow chart of the operation of the system.
Detailed Description
The invention is further described in detail below with reference to the attached drawing figures of the specification:
the invention relates to an autonomous control terminal of distributed energy storage equipment, which comprises a data acquisition module, an edge calculation module, a decision control module and a communication module, wherein the data acquisition module, the decision control module and the communication module are all connected with the edge calculation module, the data acquisition module is used for acquiring data of the distributed energy storage equipment and sending the acquired data into the edge calculation module for analysis, the decision control module makes corresponding decision instructions according to analysis results in the edge calculation module to control the running state of the energy storage equipment, and the communication module is responsible for carrying out data exchange and communication with other equipment or systems so as to realize real-time sharing of information.
The data acquisition modules are provided with a plurality of communication serial ports and network interfaces.
The communication serial port can be connected with the multi-path equipment, and the maximum number of paths of the single-path communication interface connected with the energy storage controller is 32.
The invention adopts the CPU with the main frequency of 4 cores, 64 bits ARM Cortex-A72.0 GHz and double ARM Cortex-A53.5 GHz, has strong edge computing capability, and can deploy various algorithms. And the chip has rich types of external interfaces and is easy to expand various interfaces.
The network interface is a 10M/100M/1000M rate self-adaptive port.
The algorithm of the decision control module is applied to distributed energy storage automatic control in the power industry.
The communication module supports mobile networks of three operators, and is provided with a power private network interface of 1.8 GHz.
The invention also relates to the operation steps of the autonomous control terminal, which are as follows:
and (1) after the system is electrified, the autonomous control terminal reads configuration parameters from a local Sqlite3 database, and initializes each module including serial port parameters, network parameters and autonomous algorithm configuration parameters according to the parameters. The serial port initialization mainly works to configure the baud rate, the data bit, the check bit and the parity bit of the serial port arranged on the data acquisition module, and initialize the receiving and transmitting buffer; the network port initialization mainly works to configure various parameters of a network card where a network interface is located, including an IP address, a subnet mask and a gateway; initializing the communication module to mainly work as configuring APN parameters of the module and dial-up networking; initializing main work of an autonomous management and control algorithm into associated ledger information and data point location information;
and (2) after the initialization is successful, entering a normal working state. Entering a data acquisition step, and acquiring various data of distributed energy storage, such as SOC, SOH, battery voltage, current, active power and reactive power, through a serial port and/or a network port;
and (3) reading a calculation formula stored in the Sqlite3 database based on the configuration read in the step (1) and the data acquired in the step (2), and further calculating the data to generate new data. The data specifically related are: power, voltage, frequency of the grid-connected point; the power, the communication state and the working state of each energy storage device;
step (4), based on the configuration read in the step (1) and the data calculated in the step (3), reading a control strategy stored in a Sqlite3 database, matching a corresponding autonomous control algorithm according to the configured strategy, circularly comparing current target data with data in the strategy by the autonomous control algorithm, if the current target data is lower than a lower limit or higher than an upper limit, starting a decision control module, calculating an adjustment target value by the decision control module, decomposing a regulation instruction according to the current energy storage quantity, the capacity of each energy storage and the adjustable allowance, and then issuing the decomposed regulation instruction to each energy storage controller to execute regulation;
and (5) when the autonomous management and control terminal operates, the communication module can receive a control instruction of the remote master station at any time. At this time, the terminal will perform the corresponding operation according to the instruction. If the master station requests real-time data, the terminal sends the data to the master station through a communication module according to a point table defined in advance with the master station; if the master station executes the regulation and control operation, the terminal analyzes the regulation and control target of the master station, and then issues the regulation and control target to the corresponding energy storage inverter to execute the regulation and control operation; if the master station is to perform mode switching, the terminal enters/exits the autonomous control mode according to the requirements.
It will be readily understood by those skilled in the art that the present invention, including any combination of parts described in the summary and detailed description of the invention above and shown in the drawings, is limited in scope and does not constitute a complete description of the various aspects of these combinations for the sake of brevity. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. An autonomous control terminal of a distributed energy storage device, which is characterized in that: the system comprises a data acquisition module, an edge calculation module, a decision control module, a communication module and a storage module, wherein the data acquisition module, the decision control module and the communication module are all connected with the edge calculation module, the data acquisition module is used for acquiring data of the distributed energy storage device and sending the acquired data into the edge calculation module for analysis, the decision control module makes corresponding decision instructions to control the running state of the energy storage device according to analysis results in the edge calculation module, the communication module is responsible for carrying out data exchange and communication with other devices or systems to realize real-time sharing of information, and the storage module is responsible for storing data required by the operation of the system.
2. The autonomous management terminal of claim 1, wherein: the data acquisition modules are provided with a plurality of communication serial ports and network interfaces.
3. The autonomous management terminal as defined in claim 2, wherein: the communication serial port adopts a hardware isolation design, and the number of the communication port single-way communication interface access to the energy storage controller is 32 at most.
4. The autonomous management terminal as defined in claim 2, wherein: the network interface is a 10M/100M/1000M rate self-adaptive port.
5. The autonomous management terminal of claim 1, wherein: the algorithm of the decision control module is applied to distributed energy storage self-control.
6. The autonomous management terminal of claim 1, wherein: the communication module supports mobile networks of three operators, and is provided with a power private network interface of 1.8 GHz.
7. The autonomous management terminal of claim 1, wherein: the storage module is a Sqlite3 lightweight database.
8. An operation method of an autonomous control terminal is characterized in that: the method comprises the following specific steps:
and (1) after the system is electrified, the autonomous control terminal reads configuration parameters from a local Sqlite3 database, and initializes each module including serial port parameters, network parameters and autonomous algorithm configuration parameters according to the parameters. The serial port initialization mainly works to configure the baud rate, the data bit, the check bit and the parity bit of the serial port arranged on the data acquisition module, and initialize the receiving and transmitting buffer; the network port initialization mainly works to configure various parameters of a network card where a network interface is located, including an IP address, a subnet mask and a gateway; initializing the communication module to mainly work as configuring APN parameters of the module and dial-up networking; initializing main work of an autonomous management and control algorithm into associated ledger information and data point location information;
and (2) after the initialization is successful, entering a normal working state. Entering a data acquisition step, and acquiring various data of distributed energy storage, such as SOC, SOH, battery voltage, current, active power and reactive power, through a serial port and/or a network port;
and (3) reading a calculation formula stored in the Sqlite3 database based on the configuration read in the step (1) and the data acquired in the step (2), and further calculating the data to generate new data. The data specifically related are: power, voltage, frequency of the grid-connected point; the power, the communication state and the working state of each energy storage device;
step (4), based on the configuration read in the step (1) and the data calculated in the step (3), reading a control strategy stored in a Sqlite3 database, matching a corresponding autonomous control algorithm according to the configured strategy, circularly comparing current target data with data in the strategy by the autonomous control algorithm, if the current target data is lower than a lower limit or higher than an upper limit, starting a decision control module, calculating an adjustment target value by the decision control module, decomposing a regulation instruction according to the current energy storage quantity, the capacity of each energy storage and the adjustable allowance, and then issuing the decomposed regulation instruction to each energy storage controller to execute regulation;
and (5) when the autonomous management and control terminal operates, the communication module can receive a control instruction of the remote master station at any time. At this time, the terminal will perform the corresponding operation according to the instruction. If the master station requests real-time data, the terminal sends the data to the master station through a communication module according to a point table defined in advance with the master station; if the master station executes the regulation and control operation, the terminal analyzes the regulation and control target of the master station, and then issues the regulation and control target to the corresponding energy storage inverter to execute the regulation and control operation; if the master station is to perform mode switching, the terminal enters/exits the autonomous control mode according to the requirements.
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