CN111291958B - A device and implementation method for interactive power supply and demand between power grid and industrial users - Google Patents

Abstract

The invention relates to a device for interacting with power supply and demand between the power grid and industrial users and an implementation method. The industrial user data collection module collects parameter data such as voltage, current, frequency and so on of the user's electrical equipment in real time; the dispatching and calculation module receives the power parameter data, and Classify and store it in its internal data cache; the scheduling and computing module calls the data to perform calculations to obtain the power parameter information of each part of the equipment, which is transmitted to the remote server by the communication module; the scheduling and computing module receives the guidance and regulation generated by the remote server Information, local control strategies are formulated based on industrial production conditions and passed to the user-side interruptible load control module to complete local equipment control. The invention can establish a power supply and demand channel between the power grid and industrial users, allowing industrial users to automatically participate in the dispatching of the power grid and new energy consumption dispatching. It has the advantages of strong versatility, rich functions, and easy use.

Description

A device and implementation method for interactive power supply and demand between power grid and industrial users

Technical field

The invention relates to a device and an implementation method for interaction between power grid and industrial users' power supply and demand, and belongs to the technical field of interaction and control technology between smart grid and user's supply and demand.

Background technique

With the reform of the commercial operation of my country's power industry, the traditional supply and demand balance control model has been broken through in the smart grid, and a demand response mechanism that promotes the interaction between the power generation side and the power consumption side has been introduced. The role of the power demand side has undergone qualitative changes, gradually turning from passive to passive. Developing in a proactive direction, the user side "comprehensively" participates in supply and demand regulation, supports power consumption tracking and power generation, and the user side becomes an important participant in maintaining the safety, stability and economic operation of the power system. Demand side regulation becomes the key to balancing supply and demand and reducing peak and valley differences. One of the main adjustment means.

"Friendly interaction" is one of the important features of smart grid. Compared with the power generation and transmission links, the connection between demand-side resources such as power distribution and electricity consumption and the system is relatively weak, which affects the overall performance and efficiency of the system. For a long time, the user side has been regarded as a pure consumption part. It is difficult for users to fully and effectively participate in the dispatching and operation optimization of the entire network. The peak load of urban power continues to rise, the peak-valley difference continues to increase, and the power supply during peak hours continues to increase. Insufficient peak-shaving capabilities and the disorderly development of high-energy-consuming enterprises have further worsened the tense situation of power consumption, exacerbating the problem of peak and valley differences in the power grid.

Improving the level of interaction on the load side and guiding users' electricity consumption behavior to shift from peak load periods to off-peak periods is undoubtedly an effective way to reduce the peak-valley difference. The level of information interaction between the user side and the dispatch center will continue to improve. It will be connected through flexible power networks and information networks, integrating advanced communication technology, Internet of Things technology, cloud computing technology, data mining technology and other cutting-edge science and technology to form a Efficient and complete power consumption and information service system, build an interactive platform for power management, integrate and analyze interactive information, mobilize users to participate in demand response through interactive strategies, realize the flexibility of power load, guide users or directly optimize power consumption methods, It is crucial to support reliable and economical operation of the power supply side.

Contents of the invention

In order to solve the above technical problems, the present invention designs a power supply and demand interaction device and implementation method between the power grid and industrial users, which can achieve detailed and diverse collection of power parameters such as voltage, current, frequency, etc. of various power-consuming equipment of industrial users; the device Utilizing its high-performance hardware resources, it can accurately analyze the overall power consumption behavior of industrial users through the device's built-in analysis algorithm software and host computer program, and upload the resulting data to a remote server; it can receive control instructions from the power grid. , form control instructions to control the work of industrial power-consuming equipment, so as to actively participate in the supply and demand interaction between the power grid and industrial users. In addition, the device can also monitor the working status of the equipment in real time. If there is abnormal data, it can analyze which specific power consumption part of the equipment has failed, reminding the user to deal with it in time to avoid losses and other practical functions.

The technical solution adopted by the present invention to achieve the above object is: a method for interacting with power supply and demand between the power grid and industrial users, which includes the following steps:

Step 1: The industrial equipment data acquisition module obtains operating parameters by collecting analog data of industrial equipment in real time, and collects sensor data in real time;

Step 2: The scheduling and calculation module obtains the operating parameters and sensor data of the industrial equipment from the industrial equipment data acquisition module, and establishes or corrects the mathematical model of the industrial equipment;

Step 3: The scheduling and calculation module determines the controllable range of the industrial equipment until time T in the future based on the current equipment operating parameters and industrial production index constraints;

Step 4: The scheduling and calculation module transmits the operating parameters and current controllable range of the industrial equipment to the remote server;

Step 5: The scheduling and calculation module receives the guidance and control information sent by the remote server, and transmits the instruction list to the user-side interruptible load control module according to the control strategy set by the guidance and control information and the mathematical model of the industrial equipment;

Step 6: The user-side interruptible load control module sends instructions to industrial equipment according to the instruction table to complete the interaction of power supply and demand between the power grid and industrial users.

The analog quantity data includes voltage quantity, current quantity, frequency quantity and phase angle quantity.

The operating parameters include: active power, reactive power, and power consumption during time periods.

The sensor data includes products.

The establishment or modification of a mathematical model of industrial equipment includes the following steps:

Step 2.1: Determine whether the mathematical model of the industrial equipment already exists; if it already exists, perform step 3; if it does not exist, establish a mathematical model, as follows:

n＜ΔF _t ＜m

p _i is the operating parameter at the i-th moment, that is, the input of the model, n and m are the constraints of the equipment operation, f(t) is the result of the equipment operation, that is, the output of the model, represented by the sensor data value, t is time; ΔF _t is the conversion relationship between input and output;

The scheduling and calculation module takes the operating parameters as samples and the equipment operation results as the output. It uses neural networks for training to obtain the final mathematical model of industrial equipment;

Step 2.2: The scheduling and calculation module substitutes the real-time operating parameters of the industrial equipment into the final mathematical model of the industrial equipment to obtain the equipment operation results, and then compares the results with the actual sensor data to obtain the error D; when D < Φ _d This error is ignored, Φ _d is the threshold, and the model does not need to be modified. If D≧Φ _d , return to step 2.1 to obtain the corrected mathematical model of the industrial equipment.

The industrial production indicator constraints are the output range of the mathematical model that meets the industrial production order requirements; the controllable interval of the industrial equipment is the interval in which the industrial equipment consumes electric energy.

The guidance and control information includes indicators that the power grid requires industrial equipment to complete energy consumption within a specified time period.

The instruction table includes time and corresponding power consumption of industrial equipment.

The step 6 includes the following steps:

The user-side interruptible load control module generates a period-by-period control flow table based on the instruction table with the period Δt as the unit;

The user-side interruptible load control module operates according to the time-based control flow chart, sends instructions to the controlled equipment at designated times, and completes the interaction between power supply and demand between the power grid and industrial users.

A device for interacting with electricity supply and demand between the power grid and industrial users, including

The industrial equipment data collection module is used to obtain operating parameters by collecting analog data of industrial equipment in real time, and collect sensor data in real time;

The scheduling and calculation module is used to obtain the operating parameters and sensor data of industrial equipment from the industrial equipment data acquisition module, and establish or modify the operation mathematical model of industrial equipment; based on the current equipment operating parameters and industrial production indicator constraints, determine the future T time between the controllable intervals of the industrial equipment; and transmit the operating parameters and the current controllable interval of the industrial equipment to the remote server; receive the guidance and control information sent by the remote server, and set the parameters according to the guidance and control information and the mathematical model of the industrial equipment. The specified control strategy is transmitted to the user-side interruptible load control module in the command list;

The user-side interruptible load control module is used to send instructions to industrial equipment according to the instruction table to complete the interaction of power supply and demand between the power grid and industrial users.

The invention has the following beneficial effects and advantages:

1. With data collection function. The invention integrates a high-precision electric energy parameter sensor and is installed on the three-phase incoming line side of the equipment. It can collect three-phase voltage, current, frequency, power and other information in real time when the industrial equipment is running. The collection frequency can reach 10KHz, achieving refined collection. Provide data resources for the next step of data processing.

2. It has the function of industrial users actively participating in power grid regulation. The invention establishes an information channel between the power grid and industrial users, allows users to participate in the dispatching of the power grid under certain conditions, and is of great benefit to the "peak shaving and valley filling" of the power grid. At the same time, the power grid can economically benefit industrial users. Certain incentives should be provided to achieve the goal of friendly and smart electricity use.

3. Has safety protection function. The integrated relay controller of the present invention, combined with the data acquisition and data processing calculation unit, can realize the protection against frequency anomaly, voltage anomaly, overcurrent, three-phase power imbalance and no-load electric shock protection of the equipment under test. Greatly improve the safety of industrial equipment use.

4. With network communication function. The invention is equipped with an Ethernet communication module, which can communicate with the host computer through the Ethernet module. It has a unique MAC address and only needs one computer to read the power information of the electrical equipment in the network segment, which is convenient for cooperating with the host computer software. Further energy saving optimization and upper-level monitoring.

5. With independent learning function. The present invention establishes a mathematical model of equipment power parameters in the process of processing electric energy data, and continuously strengthens learning and continuously improves parameters in subsequent calculations.

Description of drawings

Figure 1 is a module function and installation wiring diagram of the present invention;

Figure 2 is a block diagram of the internal principle structure of the present invention;

Figure 3 is a flow chart of the data collection and processing program of the present invention;

Figure 4 is a flow chart of the scheduling control program of the present invention.

Detailed ways

The present invention will be further described in detail below in conjunction with the accompanying drawings and examples.

A device and implementation method for interactive power supply and demand between the power grid and industrial users, including:

The industrial equipment data acquisition module is connected to the power incoming line, dispatching and calculation modules of the electrical equipment respectively; it is used to collect analog signals of the current power consumption data (including voltage and current) of the electrical equipment, and convert these data It is a digital quantity. After calculation, comprehensive power parameters (including real-time power, power factor, frequency, etc.) are obtained, environmental sensor values are collected, and this information is output to the dispatching and calculation module;

The scheduling and calculation module is used to calculate the input and output correspondence of the current electrical equipment based on the electrical parameters of the electrical equipment, and then obtain the mathematical model of the equipment, and temporarily store the electrical parameters and the mathematical model of the equipment in the module data storage area; send the power consumption parameters of the electrical equipment to the remote server through the communication module; receive guidance and control information from the server, and convert it into instructions and send them to the user-side interruptible load control module;

The user-side interruptible load control module is connected to the control bus interface, dispatching and calculation module of the electrical equipment respectively; it receives the dispatching instructions of the industrial equipment from the dispatching and calculation module; and provides the control interface required for the user's industrial equipment control, through the control interface direct control of industrial equipment;

Communication module, connected to the scheduling and computing module; used for communication between the device and the remote server;

The equipment industrial equipment data acquisition module is connected to a voltage transformer module and a current transformer module; the voltage transformer module and current transformer module are connected to the power incoming lines of industrial electrical equipment, and collect the analog voltage and current signals of the equipment and It is output to the analog/digital converter unit in the industrial equipment data acquisition module; the analog/digital converter unit converts the analog voltage and current signals of the equipment into digital voltage and current signals and outputs them; the current power consumption The simulated operation data of the equipment includes simulated voltage signals and current signals; the comprehensive power parameters of the current electrical equipment include digital voltage signals, current signals and calculated real-time power signals, power factor signals, frequencies, etc., and can be collected from industrial Sensor information.

The user-side interruptible load control module includes: interfaces for control and data transmission of various types of industrial equipment, and an instruction parsing processor; the interfaces for control and data transmission are various types of industrial buses and hard node control interfaces; so The industrial bus includes; DSP microprocessor unit, RS232, RS485, CAN bus, and Ethernet interface. The hard node control interface is a relay output interface; the instruction parsing processor is used to parse the control received from the scheduling and calculation module. Instruction and bus data encoding and decoding work; the analysis processor is composed of an embedded processor and peripheral devices.

The scheduling and calculation module includes a DSP microprocessor unit, an active crystal oscillator unit, an RC reset circuit unit, a power supply unit, and a host and communication interface.

It also includes a system reset and data storage module connected to the processor, which is used to provide the processor module with the stable timing required for power-on reset and exception handling reset, as well as data protection when the system is abnormal, powered down, or has a program error. .

The communication module includes a microprocessor unit, an Ethernet connection unit, and a LoRa communication unit. The microprocessor unit is used for communication control and management of communication protocols. Multiple communication units can be selected to be used according to specific communication scenarios; the Ethernet connection unit is used by industrial users to facilitate connection to the broadband Internet, LoRa communication Unit is used when it is inconvenient for industrial users to directly connect to broadband Internet.

A method for realizing interaction between power supply and demand between power grid and industrial users, including the following steps:

Step 1: The industrial equipment data acquisition module collects the analog data of the current industrial equipment in real time and converts it into digital data, including: voltage value, current value and frequency value; the industrial equipment data acquisition module collects the current voltage value of the electrical equipment according to the voltage value, The current value and frequency value are used to calculate the operating parameters; the operating parameters include: active power, reactive power, and power consumption during the period; the industrial equipment data acquisition module collects sensor data in real time.

Step 2: The scheduling and calculation module obtains the operating parameters and sensor values of the industrial equipment from the industrial equipment data acquisition module, and establishes or corrects the operation mathematical model of the industrial equipment;

Step 2.1: Determine whether the mathematical model of industrial equipment already exists. If it already exists, skip this step. If it does not exist, continue this step;

List the general expressions of the equipment mathematical model: n＜ΔF _t ＜m, where: t is the unit time period of model operation, p _i is the equipment input operating parameters (active power, reactive power, power consumption during the period) at the i-th moment, ΔF _t is the input parameters and output The conversion relationship expression of the result, n and m are the constraints of the equipment operation, f(t) is the result of the equipment operation, which can be characterized by the value of the environmental sensor.

The scheduling and calculation module applies the neural network algorithm to iteratively solve the operating parameters of the industrial equipment into the equipment model, obtain the optimal solution of the relational expression ΔF _t , and then establish the mathematical model of the equipment.

Step 2.2: The scheduling and calculation module substitutes the real-time operating parameters and sensor values of the industrial equipment into the mathematical model of the equipment to obtain the error D. When D<Φ _d , this error can be ignored and the model does not need to be modified. If D≧Φ _d , re-perform the model establishment process in step 2.1 to obtain the revised model.

Step 3: The scheduling and calculation module determines the controllable interval of the industrial equipment until time T in the future based on the mathematical model of the current equipment and the constraints of the industrial production indicators, that is, the interval in which the industrial equipment consumes electric energy;

The industrial production constraints are the output range of industrial equipment that meets the requirements of industrial production orders. This parameter is input through the host computer communication interface of the scheduling and calculation module.

The host computer communication interface is a USB interface used for connection and communication with the host computer.

Step 4: The scheduling and calculation module transmits the operating parameters and current controllable range of the industrial equipment to the remote server through the communication module;

Step 5: The scheduling and calculation module waits to receive the guidance and control information sent from the remote server. If there is control information, it receives the control information through the communication module, that is, the energy consumption indicators that the power grid requires industrial equipment to complete within the specified time period, combined with the industrial The mathematical model of the equipment formulates a local control strategy, that is, the power consumption time distribution table under the premise of meeting production requirements, and passes it to the user-side interruptible load control module;

Step 6: The user-side interruptible load control module generates a period-by-period control flow table based on the local control strategy and the local equipment control instruction encoding table, with the period Δt as the unit;

Step 7: The user-side interruptible load control module operates according to the time-based control flow chart, and sends specific instructions to the controlled equipment through the control and data transmission interface at specific times to complete the interaction process of power supply and demand between the power grid and industrial users.

A device for interacting with power supply and demand between the power grid and industrial users, as shown in Figure 1. This design is functionally divided into an industrial equipment data collection module, a user-side interruptible load control module, a scheduling and calculation module, a communication module, and a real-time clock. modules, power modules.

1) Industrial equipment data acquisition module, including 4~20mA sensor interface, external voltage transformer, current transformer, back-end analog/digital converter and ARM microprocessor unit, which can collect real-time equipment environment information and equipment operation time voltage and current values.

2) The user-side interruptible load control module includes: It can realize the opening/closing of the main circuit breaker of the control equipment, thereby realizing emergency power-off protection in case of serious equipment failure.

3) The scheduling and calculation module is responsible for analyzing and calculating the data collected by the power acquisition module. Based on the real-time voltage and current data, it calculates frequency, electric power and other information, and simultaneously classifies and subdivides multiple devices or multiple power consumption units accurately. Get the parameters of each power consumption unit. At the same time, the DSP microprocessor also serves as the core control unit to coordinate the work of various functional modules; the processor module includes the TMS320F28335 DSP microprocessor unit, data memory unit, 30MHz active crystal oscillator unit, RC reset circuit unit, TPS767D301 core power supply unit.

4) The communication module is used to communicate between the industrial user's electricity usage behavior collection device and the computer. It can send the collected data to the host computer for further analysis, or connect multiple industrial users' electricity usage behavior collection devices through the computer. It is used as a host computer to display information such as the energy consumption status of each device for visual management.

5) Power module provides highly reliable power supply for the system to ensure the reliability and stability of the system.

6) The real-time clock module provides a precise reference clock source for the entire system to ensure a high degree of time synchronization in real-time data collection.

7) System reset and data storage module. The reset module provides the stable timing required for system power-on reset and exception handling reset of the DSP microprocessor. The storage module provides system abnormal status (power-down exception or program error watchdog reset). ) emergency data protection function to improve system reliability.

As shown in Figure 2, the specific hardware composition of each module in the embodiment of the present invention is given:

The front-end processor of this design uses the STM32F103RE embedded microcontroller from STMicroelectronics. It requires an 8MHz crystal oscillator and RC reset circuit to form its minimum system. The STM32 series microcontrollers have rich on-chip resources and peripheral interfaces. Can be easily connected with other modules.

The main processor uses the TMS320F28335 DSP microprocessor from Texas Semiconductor Company in the United States. It requires a 30MHz crystal oscillator and reset circuit to form its minimum system. The TMS320F28335 DSP microprocessor is a TMS320C28X series floating point DSP from TI. controller. Compared with previous fixed-point DSPs, this device has high precision, low cost, low power consumption, high performance, high peripheral integration, and large data and program storage.

The voltage and current measurement uses the ADS8558IPM analog/digital conversion chip. A single chip can realize real-time collection of 6 channels of voltage/current. It exactly corresponds to the voltage and current of the three-phase electricity used by the equipment.

The LTE data communication module is composed of Huawei's ME906C full network communication module and peripheral circuits. The ME906C module is connected to the Internet through 4G nodes. The ME906C module integrates a full hardware TCP/IP protocol stack + MAC + PHY. The full hardware protocol stack technology uses hardware logic gate circuits to implement complex TCP/IP protocol clusters; it integrates MAC and PHY technology internally, and uses AT commands to communicate with embedded systems, allowing embedded systems to access the Internet simply and efficiently. The LoRa communication module uses a long-distance, low-power wireless transceiver launched by Semtech, which can be used as a network relay.

The user-side interruptible load control module includes: a hardware control node using a ULN2003 Darlington tube current expansion relay and an RS232 bus composed of MAX3232, an RS485 bus composed of MAX485, and a CAN bus composed of AU5790D.

The power module uses a two-level power chip. Because this system needs to be able to generate 5V and 3.3V voltages for use by each module in the system. The 5V power supply mainly supplies the relay module, while other modules and chips require 3.3V power supply. The 5V power supply part uses LNK613 AC/DC chip. LNK613 uses the principle of switching power supply to convert 95V ~ 230V AC power into 5V DC power, completing the voltage reduction, rectification and voltage stabilization work at one time. The output power of this designed circuit is ≥3.5W, and the 5V power supply accuracy reaches ±5% to meet the system requirements. The 3.3V circuit uses LDO power chip PAM3101-3.3.

As shown in Figure 3, it is the data collection and processing workflow of the device. After the device is running, first the voltage transformer and current transformer external to the device convert the large signal into a small signal which is collected by the analog/digital converter; then preliminary data processing is performed, mainly filtering the collected data. Calculate and obtain the effective value of voltage and current, active power value, reactive power value, frequency and other information; judge the above information, and the judgment standard is the general electrical equipment operating standard (overcurrent, low voltage, frequency abnormality, etc.); if the parameters If there is an abnormality, it will enter the alarm mode; if there is no abnormality, it will enter the equipment monitoring mode. In addition, the environment variables of the device need to be collected at this stage.

In the alarm mode, the alarm is first started to remind the operator to handle equipment abnormalities in a timely manner; if the automatic protection strategy is started, the brake relay cuts off the power supply of the equipment; and finally an exception report is recorded.

In the monitoring mode, it is first determined whether the mathematical model of the equipment already exists. If the mathematical model of the equipment already exists, the model is modified; if the mathematical model of the equipment does not exist, historical data need to be called to establish the mathematical model. In the model correction stage, the data collected this time are substituted into the existing model, and the error D is calculated. If the error D is greater than the specified value Φ _d , the model needs to be re-established. Apply the mathematical model of the equipment, environmental parameters and input order status to calculate the controllable interval of the equipment. Finally, the device parameters, environmental parameters and the controllable interval of the device are sent to the remote server through the communication module.

As shown in Figure 4, it is the scheduling instruction execution flow of the device. When the device receives the guidance control information sent by the server, the device formulates a local control strategy based on the controllable range of the device. The local control strategy is a control instruction list with a timeline. When the time point of the control strategy is reached, the user-side interruptible load control module in the device writes corresponding control instructions and sends them to the data bus interface of the controlled equipment through the data bus interface. Loop execution until the scheduling policy is completed.

Claims (8)

1. The power supply and demand interaction method for the power grid and the industrial user is characterized by comprising the following steps of:

step 1: the industrial equipment data acquisition module acquires the operation parameters by acquiring analog quantity data of industrial equipment in real time and acquires sensor data in real time;

step 2: the dispatching and calculating module acquires the operation parameters and sensor data of the industrial equipment from the industrial equipment data acquisition module, and establishes or corrects a mathematical model of the industrial equipment;

the establishing or correcting the mathematical model of the industrial equipment comprises the following steps:

step 2.1: judging whether a mathematical model of the industrial equipment exists or not; if so, executing the step 3; if not, establishing a mathematical model, which is specifically as follows:

p _i for the operation parameter at the ith moment, namely the input of the model, n and m are the constraint conditions of the operation of the equipment, and f (t) is the operation of the equipmentThe result is the output of the model, represented by the sensor data values, t is time; ΔF (delta F) _t Is the conversion relation between input and output;

the scheduling and calculating module takes the operation parameters as samples, the operation result of the equipment is output, and a neural network is adopted for training to obtain a final mathematical model of the industrial equipment;

step 2.2: the scheduling and calculating module substitutes the real-time operation parameters of the industrial equipment into a final mathematical model of the industrial equipment to obtain an equipment operation result, and the result is subjected to difference with the actual sensor data to obtain an error D; when D is<Φ _d When the error is ignored, phi _d The model does not need to be corrected for the threshold value, if D is larger than or equal to phi _d When the mathematical model is obtained, returning to the step 2.1 to obtain the corrected mathematical model of the industrial equipment;

step 3: the scheduling and calculating module determines an adjustable interval of the industrial equipment from the time point of the future T moment according to the current equipment operation parameters and the industrial production index constraint conditions;

step 4: the scheduling and calculating module transmits the operation parameters of the industrial equipment and the current adjustable interval to a remote server;

step 5: the scheduling and calculating module receives the guiding and regulating information sent by the remote server, and transmits an instruction list to the user side interruptible load control module according to a control strategy set by the guiding and regulating information and a mathematical model of the industrial equipment;

step 6: the user side interruptible load control module sends an instruction to industrial equipment according to the instruction list to complete the power consumption supply and demand interaction of the power grid and the industrial user;

the step 6 comprises the following steps:

the user side interruptible load control module generates a time-division control flow chart taking a time-division deltat as a unit according to the instruction table;

the user side interruptible load control module operates according to a time-sharing control flow chart, and sends a command to the controlled equipment at a designated moment to complete the power supply and demand interaction of the power grid and the industrial user.

2. The method of claim 1, wherein the analog data includes voltage, current, frequency and phase angle.

3. A method of grid and industrial consumer power supply and demand interaction as in claim 1, wherein the operating parameters include: active power, reactive power, period consumed power.

4. A method of grid and industrial consumer power supply and demand interaction as in claim 1, wherein the sensor data comprises a product.

5. The method for power supply and demand interaction between a power grid and industrial users according to claim 1, wherein the industrial production index constraint condition is an output range according to a mathematical model meeting industrial production order requirements; the adjustable region of the industrial equipment is a region where the industrial equipment consumes electric energy.

6. The method for interacting power supply and demand of power grid and industrial user according to claim 1, wherein the guiding and controlling information comprises an index that the power grid needs industrial equipment to complete energy consumption in a specified time period.

7. The method of claim 1, wherein the instruction list includes time and corresponding power consumption of the industrial equipment.

8. An interactive device for power supply and demand of power grid and industrial user, which is characterized by comprising

The industrial equipment data acquisition module is used for acquiring the analog quantity data of the industrial equipment in real time to obtain the operation parameters and acquiring the sensor data in real time;

the dispatching and calculating module is used for acquiring the operation parameters and the sensor data of the industrial equipment from the industrial equipment data acquisition module and establishing or correcting an operation mathematical model of the industrial equipment; determining an adjustable interval of industrial equipment from the current equipment operation parameter to the future T moment according to the constraint condition of the industrial production index; transmitting the operation parameters of the industrial equipment and the current adjustable interval to a remote server; receiving guiding regulation information sent by a remote server, and transmitting an instruction list to a user side interruptible load control module according to a control strategy set by the guiding regulation information and a mathematical model of industrial equipment;

the method for establishing or modifying the mathematical model of the industrial equipment comprises the following steps:

step 2.1: judging whether a mathematical model of the industrial equipment exists or not; if so, executing the step 3; if not, establishing a mathematical model, which is specifically as follows:

p _i the method is characterized in that the method is used for inputting operation parameters at the ith moment, namely a model, n and m are constraint conditions of equipment operation, f (t) is the result of equipment operation, namely the output of the model, and is represented by a sensor data value, and t is time; ΔF (delta F) _t Is the conversion relation between input and output;

the scheduling and calculating module takes the operation parameters as samples, the operation result of the equipment is output, and a neural network is adopted for training to obtain a final mathematical model of the industrial equipment;

step 2.2: the scheduling and calculating module substitutes the real-time operation parameters of the industrial equipment into a final mathematical model of the industrial equipment to obtain an equipment operation result, and the result is subjected to difference with the actual sensor data to obtain an error D; when D is<Φ _d When the error is ignored, phi _d The model does not need to be corrected for the threshold value, if D is larger than or equal to phi _d When the mathematical model is obtained, returning to the step 2.1 to obtain the corrected mathematical model of the industrial equipment;

the user side interruptible load control module is used for sending instructions to industrial equipment according to the instruction list to complete power consumption supply and demand interaction between the power grid and industrial users;

the user side interruptible load control module generates a time-division control flow chart taking a time-division deltat as a unit according to the instruction table;

the user side interruptible load control module operates according to a time-sharing control flow chart, and sends a command to the controlled equipment at a designated moment to complete the power supply and demand interaction of the power grid and the industrial user.