CN111291958B - Power grid and industrial user electricity supply and demand interaction device and implementation method - Google Patents
Power grid and industrial user electricity supply and demand interaction device and implementation method Download PDFInfo
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Abstract
The invention relates to a power grid and industrial user power consumption supply and demand interaction device and an implementation method thereof, wherein an industrial user data acquisition module acquires parameter data such as voltage, current, frequency and the like of user electric equipment in real time; the scheduling and calculating module receives the power consumption parameter data and stores the power consumption parameter data into a data cache area in the scheduling and calculating module in a classified manner; the scheduling and calculating module calls data to operate so as to obtain power parameter information of each part of the equipment, and the power parameter information is transmitted to a remote server by the communication module; the scheduling and calculating module receives the guiding regulation information generated by the remote server, prepares a local control strategy according to the industrial production condition and transmits the local control strategy to the user side interruptible load control module to complete the local equipment control. The invention can establish the power supply and demand channels of the power grid and the industrial users, so that the industrial users can automatically participate in the dispatching of the power grid and the dispatching of new energy consumption, and the invention has the advantages of strong universality, rich functions, convenient use and the like.
Description
Technical Field
The invention relates to a power grid and industrial user power supply and demand interaction device and an implementation method, and belongs to the technical field of intelligent power grid and user supply and demand interaction and control.
Background
Along with the reform of commercial operation of the electric power industry in China, a traditional supply-demand balance control mode is broken through in the intelligent power grid, a demand response mechanism for promoting interaction of a power generation side and a power utilization side is introduced, roles of the power demand side are gradually developed from a passive direction to an active direction, a user side participates in supply-demand regulation in a comprehensive manner, power utilization tracking power generation is supported, the user side becomes an important participant for maintaining safe, stable and economic operation of a power system, and the demand side regulation becomes one of main regulation means for balancing supply and demand and reducing peak-valley difference.
"friendly interaction" is one of the important features of smart grids. Compared with the power generation and transmission links, the connection between power distribution, power consumption and other demand side resources and the system is relatively weak, and the overall performance and efficiency of the system are affected. The user side is considered as a simple consumption part in a long period of time, users are difficult to fully and effectively participate in the dispatching operation optimization of the whole network, urban power peak load continuously climbs high, peak-valley difference continuously increases, peak period power peak regulation capacity is insufficient, the disorder development of high-energy-consumption enterprises further worsens the situation of power utilization tension, and the problem of power grid peak-valley difference is aggravated.
Improving the interaction level of the load side, guiding the user electricity behavior to shift from the load peak period to the valley period is certainly an effective way to reduce peak-valley difference. The information interaction level between the user side and the dispatching center is continuously improved, the user side and the dispatching center are connected with the information network through a flexible power network, a plurality of front-edge scientific technologies such as an advanced communication technology, an Internet of things technology, a cloud computing technology and a data mining technology are fused, a high-efficiency complete electricity and information service system is formed, an electric energy management interaction platform is constructed, interaction information is integrated and analyzed, a user is mobilized to participate in demand response through an interaction strategy, the flexibility of power load is achieved, the user is guided or the electricity utilization mode is directly optimized, and the method is very important for supporting reliable and economic operation of a power supply side.
Disclosure of Invention
In order to solve the technical problems, the invention designs a power grid and industrial user power supply and demand interaction device and an implementation method thereof, which can realize the fine and multiple acquisition of power consumption parameters such as voltage, current, frequency and the like of each power consumption device of the industrial user; the device utilizes high-performance hardware resources thereof, accurately analyzes the overall electricity utilization behavior of the industrial user through analysis algorithm software and an upper computer program built in the device, and uploads formed data to a remote server; the control command given by the power grid can be received to form a control command, and the industrial power consumption equipment is controlled to work, so that the active participation in the supply and demand interaction of the power grid and industrial users is achieved. In addition, the device can also monitor the working state of the equipment in real time, and if abnormal data exist, the specific electricity utilization part of the equipment can be analyzed to fail, so that a user is reminded of timely processing practical functions such as avoiding loss.
The technical scheme adopted by the invention for achieving the purpose is as follows: the power supply and demand interaction method for the power grid and the industrial user comprises the following steps:
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;
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 instructions to industrial equipment according to the instruction list to complete the electricity supply and demand interaction between the power grid and industrial users.
The analog quantity data includes a voltage quantity, an amount of current, a frequency quantity, and a phase angle quantity.
The operating parameters include: active power, reactive power, period consumed power.
The sensor data includes a product.
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:
n＜ΔF t ＜m
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 < phi 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 And (2) returning to the step (2.1) to obtain the corrected mathematical model of the industrial equipment.
The industrial production index constraint condition is an output range according to a mathematical model meeting the industrial production order requirement; the adjustable region of the industrial equipment is a region where the industrial equipment consumes electric energy.
The instructional regulation information includes an indicator that the power grid requires the industrial equipment to complete energy consumption in a specified period of time.
The instruction list comprises time and corresponding industrial equipment electric energy consumption.
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.
An interactive device for power supply and demand of power grid and industrial user comprises
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;
and the user side interruptible load control module is used for sending instructions to industrial equipment according to the instruction list to complete the power supply and demand interaction of the power grid and the industrial user.
The invention has the following beneficial effects and advantages:
1. has the function of data acquisition. The integrated high-precision electric energy parameter sensor is arranged on the three-phase incoming line side of equipment, can acquire information such as three-phase voltage, current, frequency, power and the like when industrial equipment operates in real time, and can acquire the information with the frequency of 10KHz, so that data resources are provided for the next data processing by fine acquisition.
2. The method has the advantage that an industrial user actively participates in the power grid regulation function. The invention establishes an information channel between the power grid and the industrial user, allows the user to participate in the dispatching of the power grid under a certain condition, has great benefit for peak clipping and valley filling of the power grid, and simultaneously can give the industrial user certain incentive measures economically to achieve the purposes of friendly electricity utilization and intelligent electricity utilization.
3. Has the function of safety protection. The integrated relay controller is matched with the data acquisition and data processing operation unit, and can realize frequency abnormality, voltage abnormality, overcurrent, three-phase power unbalance and no-load electric shock protection of tested equipment. The use safety of industrial equipment is greatly improved.
4. Has a network communication function. The invention is carried with the Ethernet communication module, can communicate with the upper computer through the Ethernet module, has a unique MAC address, can read the electric quantity information of the electric equipment in the network section by only one computer, and is convenient for matching with the upper computer software to further optimize energy conservation and monitor the upper layer.
5. Has an autonomous learning function. The invention establishes a mathematical model of the electrical parameters of the equipment in the electrical energy data processing process, and continuously strengthens the learning and perfects the parameters in the subsequent calculation.
Drawings
FIG. 1 is a block diagram of the function and mounting of the present invention;
FIG. 2 is a block diagram of the internal principle of the present invention;
FIG. 3 is a flow chart of a data acquisition and processing procedure of the present invention;
fig. 4 is a flow chart of the scheduling control program of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
An electric network and industrial user electricity supply and demand interaction device and an implementation method thereof, comprising:
the industrial equipment data acquisition module is respectively connected with the power utilization incoming line, the dispatching and calculating module of the electric equipment; the system comprises a dispatching and calculating module, a power factor calculating module and a power factor calculating module, wherein the power factor calculating module is used for calculating the power factor of the current electric equipment;
the scheduling and calculating module is used for calculating according to the electricity consumption parameters of the electric equipment to obtain the input and output corresponding relation of the current electric equipment, further obtaining a mathematical model of the equipment, and temporarily storing the electricity consumption parameters and the mathematical model of the equipment into a data storage area in the module; the power consumption parameters of the electric equipment are sent to a remote server through a communication module; receiving guiding regulation information from a server, converting the guiding regulation information into a command and sending the command to a user side interruptible load control module;
the user side interruptible load control module is respectively connected with a control bus interface of the electric equipment and the scheduling and calculating module; receiving a scheduling instruction of the industrial equipment from a scheduling and calculating module; and provide the control interface that the customer's industrial equipment controls and need, control the industrial equipment directly through the control interface;
the communication module is connected with the scheduling and calculating module; for communication between the device and a remote server;
the equipment industrial equipment data acquisition module is connected with the voltage transformer module and the current transformer module; the voltage transformer module and the current transformer module are connected with an electric power incoming line of industrial electric equipment, acquire analog voltage and current signals of the equipment and output the analog voltage and current signals to an analog/digital converter unit in the industrial equipment data acquisition module; the analog/digital converter unit converts analog voltage and current signals of the equipment into digital voltage and current signals and outputs the digital voltage and current signals; the simulation operation data of the current electric equipment comprises simulation voltage signals and current signals; the comprehensive electricity utilization parameters of the current electric equipment comprise digital voltage signals, current signals, calculated real-time power signals, power factor signals, frequency and the like, and industrial sensor information can be acquired.
The user side interruptible load control module comprises: the interface is used for controlling various industrial equipment and transmitting data, and the instruction analysis processor; the interfaces of control and data transmission are various industrial bus and hard node control interfaces; the industrial bus, comprising; the hard node control interface is a relay output interface; the instruction analysis processor is used for analyzing the control instruction received from the scheduling and calculating module and the bus data encoding and decoding work; the analysis processor consists of an embedded processor and peripheral devices.
The dispatching and computing module comprises a DSP microprocessor unit, an active crystal oscillator unit, an RC reset circuit unit, a power supply unit, an upper computer and a communication interface.
The system reset and data storage module is connected with the processor and is used for providing stable time sequence required by power-on reset and exception handling reset for the processor module and protecting data when the system is abnormal, power-down or program is in error.
The communication module comprises 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, and the communication units select one of the communication units to use according to a specific communication scene; the Ethernet connection unit is used for being convenient for industrial users to connect with the broadband Internet, and the LoRa communication unit is used for being inconvenient for industrial users to directly connect with the broadband Internet.
A method for realizing power supply and demand interaction between a power grid and an industrial user comprises the following steps:
step 1: the industrial equipment data acquisition module acquires analog quantity data of the current industrial equipment in real time and converts the analog quantity data into digital quantity data, wherein the method comprises the following steps of: voltage value, current value and frequency value; the industrial equipment data acquisition module calculates an operation parameter according to the voltage value, the current value and the frequency value of the current electric equipment; the operating parameters include: active power, reactive power, period consumed power; the industrial equipment data acquisition module acquires data of the sensor in real time.
Step 2: the dispatching and calculating module acquires the operation parameters and sensor values of the industrial equipment from the industrial equipment data acquisition module, and establishes or corrects an operation mathematical model of the industrial equipment;
step 2.1: judging whether the mathematical model of the industrial equipment exists or not, if so, skipping the step, and if not, continuing the step;
general expressions for a mathematical model of a device are listed:n＜ΔF t < m, wherein: t is the unit time period of model operation, p i Inputting operation parameters (active power, reactive power, period consumption power) for the device at the ith moment, ΔF t For the conversion relation expression of input parameters and output results, n and m are constraint bars for running the equipmentAnd f (t) is the result of the operation of the device and can be characterized by the values of the environmental sensors.
The scheduling and calculating module applies a neural network algorithm to iterate the operation parameters of the industrial equipment into the equipment model to solve the operation parameters to obtain a relational expression delta F t And then a mathematical model of the device is built.
Step 2.2: the scheduling and calculating module substitutes the real-time operation parameters of the industrial equipment and the values of the sensors into the mathematical model of the equipment to obtain an error D, and when D is smaller than phi d When the error is negligible, the model does not need to be corrected, if D is larger than or equal to phi d And (3) when the model is built, the model building process in step 2.1 is carried out again, and the corrected model is obtained.
Step 3: the scheduling and calculating module determines an adjustable interval of the industrial equipment, namely an interval of the industrial equipment consuming electric energy, from a future time T according to a mathematical model of the current equipment and constraint conditions of industrial production indexes;
the industrial production constraint condition is the output range of industrial equipment meeting the industrial production order requirement, and the parameter is input through an upper computer communication interface of the scheduling and calculating module.
The upper computer communication interface is a USB interface for connecting and communicating with an upper computer.
Step 4: the scheduling and calculating module transmits the operation parameters of the industrial equipment and the current adjustable interval to a remote server through the communication module;
step 5: the scheduling and calculating module waits for receiving the guiding regulation information sent by the remote server, if the regulation information exists, the regulation information is received through the communication module, namely, the index of energy consumption of the power grid, which is required to be completed by the industrial equipment in a specified time period, is combined with the mathematical model of the industrial equipment to prepare a local control strategy, namely, the electric quantity consumption time distribution table on the premise of meeting the production requirement is transmitted to the user side interruptible load control module;
step 6: the user side interruptible load control module generates a time period control flow chart taking a time period deltat as a unit according to a local control strategy and a local equipment control instruction encoding table;
step 7: the user side interruptible load control module operates according to a time-sharing control flow chart, and sends a specific instruction to the controlled equipment through the interface of control and data transmission at a specific moment to complete the electricity supply and demand interaction process of the power grid and the industrial user.
As shown in figure 1, the power supply and demand interaction device for the power grid and the industrial user comprises an industrial equipment data acquisition module, a user side interruptible load control module, a scheduling and calculating module, a communication module, a real-time clock module and a power module.
1) The industrial equipment data acquisition module comprises a 4-20 mA sensor interface, an external voltage transformer, a current transformer, a rear-end analog/digital converter and an ARM microprocessor unit, and can be used for real-time equipment environment information and voltage and current values when the acquisition equipment operates.
2) The user side interruptible load control module comprises: the switching on/off of the total breaker of the control equipment can be realized, and then the emergency power-off protection of severe faults of the equipment is realized.
3) The scheduling and calculating module is in charge of analyzing and calculating the data acquired by the power acquisition module, calculating information such as frequency, electric power and the like according to real-time voltage and current data, classifying and subdividing a plurality of devices or a plurality of power utilization units, and accurately obtaining parameters of each power utilization unit. Meanwhile, the DSP microprocessor also serves as a core control unit to coordinate the work of each functional module; the processor module comprises a TMS320F28335 DSP microprocessor unit, a data memory unit, a 30MHz active crystal oscillator unit, an RC reset circuit unit and a TPS767D301 core power supply unit.
4) The communication module is used for communicating the industrial user electricity consumption behavior acquisition device with the computer, and can send the acquired data to the upper computer for further analysis, or is connected with a plurality of industrial user electricity consumption behavior acquisition devices through the computer, and the information such as the energy consumption state of each device is displayed by one computer as the upper computer for visual management.
5) The power module provides a highly reliable power supply for the system and ensures the reliability and stability of the system.
6) And the real-time clock module provides a precise reference clock source for the whole system and ensures high time synchronism of real-time data acquisition.
7) And the system reset and data storage module is used for providing a stable time sequence required by system power-on reset and exception handling reset of the DSP microprocessor, and the storage module is used for providing an emergency data protection function of system exception state (power-down exception or program error watchdog reset) so as to improve the reliability of the system.
As shown in fig. 2, specific hardware components of each module in the embodiment of the present invention are given:
the design front-end processor adopts STM32F103RE embedded microcontroller of an Italian semiconductor company, a minimum system can be formed by an 8MHz crystal oscillator and an RC reset circuit, and STM32 series microcontrollers have abundant on-chip resources and peripheral interfaces, and can be conveniently connected with other modules.
The main processor adopts TMS320F28335 DSP microprocessor of semiconductor company in Texas, a crystal oscillator of 30MHz and a reset circuit are needed to form the minimum system, and the TMS320F28335 DSP microprocessor is a TMS320C28X series floating point DSP controller of TI company. Compared with the traditional fixed-point DSP, the device has the advantages of high precision, low cost, low power consumption, high performance, high peripheral integration level and large data and program storage capacity.
The voltage and current measurement adopts an ADS8558IPM analog/digital conversion chip, and a single chip can realize the real-time acquisition of the voltage/current of 6 channels. Exactly corresponds to the voltage and current of the three-phase power used by the equipment.
The LTE data communication module is composed of an ME906C full-network communication module and peripheral circuits. The ME906C module is connected to the Internet through a 4G node. The ME906C module integrates the full hardware TCP/IP protocol stack+MAC+PHY internally. The full hardware protocol stack technology adopts a hardware logic gate circuit to realize a complex TCP/IP protocol cluster; and the MAC and PHY processes are integrated internally, and the embedded system is communicated with the AT command, so that the embedded system is simply and efficiently accessed to the Internet. The LoRa communication module selects a wireless transceiver with long distance and low power consumption, which is proposed by Semtech company, and can be used as a network relay.
The user side interruptible load control module comprises: the hardware control node of the relay adopting ULN2003 Darlington tube current expansion and the RS232 bus formed by MAX3232, the RS485 bus formed by MAX485 and the CAN bus formed by AU5790D are adopted.
The power supply module adopts a two-stage power supply chip. Since the system needs to be able to generate 5V and 3.3V voltages, it is used by the various modules in the system. The 5V power is mainly supplied to the relay module, while the other modules and chips require 3.3V power. The 5V power supply part adopts an LNK613 AC/DC chip. The LNK613 can convert 95V-230V alternating current energy into 5V direct current by utilizing the switching power supply principle, the voltage reduction and rectification and voltage stabilization work are completed at one time, the output power of the designed circuit is more than or equal to 3.5W, and the 5V power supply precision reaches +/-5% to meet the system requirement. The 3.3V circuit adopts LDO power supply chips PAM3101-3.3.
As shown in fig. 3, is a data acquisition and processing workflow of the device. After the device operates, firstly, a voltage transformer and a current transformer which are arranged outside the device convert large signals into small signals and are collected by an analog-to-digital converter; then, preliminary data processing is carried out, wherein the data is mainly acquired through filtering and calculation, and information such as effective values, active power values, reactive power values, frequencies and the like of voltage and current are obtained; judging the information, wherein the judging standard is the operation standard (overcurrent, low voltage, abnormal frequency and the like) of general electric equipment; if the parameters are abnormal, the device enters an alarm mode, and if the parameters are abnormal, the device enters a device monitoring mode. In addition, environmental variables of the device need to be acquired at this stage.
In the alarm mode, firstly, starting an alarm to remind operators of equipment abnormality and timely processing; if the automatic protection strategy is started, the brake relay cuts off the power supply of the equipment; and finally recording an exception report.
In the monitoring mode, firstly judging whether a mathematical model of the equipment exists, and if the mathematical model of the equipment exists, carrying out model correction; if the mathematical model of the device does not exist, the historical data is called to build the mathematical model. In the model correction stage, the current acquisition is carried outSubstituting the data into the existing model, calculating to obtain an error D, and if the error D is larger than a specified value phi d Then the model needs to be re-built. And calculating to obtain the controllable interval of the equipment by applying the mathematical model, the environmental parameters and the input order condition of the equipment. And finally, transmitting the equipment parameters, the environment parameters and the controllable interval of the equipment to a remote server through a communication module.
As shown in fig. 4, a flow is performed for the scheduling instruction of the device. When the device receives the guiding regulation information sent by the server, the device prepares a local control strategy according to the equipment adjustable interval. The local control strategy is a control instruction table with a time axis. When the time point of the control strategy is reached, the user side in the device can interrupt the load control module to write a corresponding control instruction and send the corresponding control instruction to the data bus interface of the controlled equipment through the data bus interface. And executing circularly until the scheduling strategy 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.
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