CN109189030B - Heat storage remote control system for multi-energy supply system - Google Patents
Heat storage remote control system for multi-energy supply system Download PDFInfo
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- 238000005338 heat storage Methods 0.000 title claims abstract description 41
- 238000012544 monitoring process Methods 0.000 claims abstract description 34
- 238000004891 communication Methods 0.000 claims abstract description 31
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 48
- 230000004044 response Effects 0.000 claims description 31
- 239000002245 particle Substances 0.000 claims description 29
- 238000006243 chemical reaction Methods 0.000 claims description 26
- 238000005457 optimization Methods 0.000 claims description 17
- 238000000034 method Methods 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 8
- 239000008400 supply water Substances 0.000 claims description 7
- 230000008859 change Effects 0.000 claims description 4
- 230000006870 function Effects 0.000 description 23
- 238000010438 heat treatment Methods 0.000 description 8
- 230000003139 buffering effect Effects 0.000 description 5
- 238000011217 control strategy Methods 0.000 description 5
- 230000003044 adaptive effect Effects 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
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- 238000009825 accumulation Methods 0.000 description 1
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- 239000003112 inhibitor Substances 0.000 description 1
- 230000002401 inhibitory effect Effects 0.000 description 1
- 238000012804 iterative process Methods 0.000 description 1
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- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B11/00—Automatic controllers
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- G05B11/36—Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential
- G05B11/42—Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential for obtaining a characteristic which is both proportional and time-dependent, e.g. P. I., P. I. D.
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication
- G05B19/4186—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication by protocol, e.g. MAP, TOP
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Abstract
The invention discloses a heat storage remote control system for a multi-energy supply system, which comprises an acquisition module for acquiring the operation information of the multi-energy supply system, a PLC module for controlling the multi-energy supply system, a remote communication module and a remote monitoring module, wherein the PLC module is in signal connection with the remote monitoring module through the remote communication module; and the operation information of the multi-energy supply system can be transmitted to the remote monitoring module through the remote communication module, so that not only is the operation of the multi-energy supply system monitored by an operator in real time facilitated, but also the remote control of the multi-energy supply system can be realized through the remote monitoring module by the operator.
Description
Technical Field
The invention relates to the technical field of heat storage control of a multi-energy supply system, in particular to a heat storage remote control device for the multi-energy supply system.
Background
In recent years, due to the continuous development of the power industry, the phenomenon that the supply is larger than the demand appears in China, and for this reason, a relevant policy is issued by a power supply department to promote the development of a multi-energy supply system.
The control system of the existing multi-energy supply system is mature, but the problems of low response speed, fuzzy temperature control and the like generally exist, and the multi-energy supply system is used as an important controllable load of a power grid and is not well connected into the consumption scheduling of a power system. Moreover, due to the characteristics of the electric power system such as non-intermittency and sudden change of the operating state, the electric power scheduling of the electric power system needs high communication reliability and short transmission time, and therefore, it is necessary to establish a special communication network adapted to the safe operation of the electric power system.
At present, a communication network with a computer as a main node is generally adopted in an electric power system, and a control and communication network with a PLC as a main node is commonly adopted in an automation system operating on a site at the same time.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a heat storage remote control device for a multi-energy supply system, which can realize data transmission among different systems.
In order to achieve the purpose of the invention, the technical scheme adopted by the invention specifically comprises the following steps:
the heat storage remote control system comprises an acquisition module for acquiring the operation information of the multi-energy supply system, a PLC module for controlling the multi-energy supply system, a remote communication module and a remote monitoring module, wherein the PLC module is in signal connection with the remote monitoring module through the remote communication module, and the PLC module controls the multi-energy supply system through a PID (proportion integration differentiation) controller.
Further, the PLC module controls the multi-energy supply system through the PID controller, and the PLC module controls the primary outlet water temperature and the primary side flow of the multi-energy supply system through the PID controller so as to realize quick response to the secondary supply water temperature of the multi-energy supply system.
Furthermore, the PLC module controls the primary outlet water temperature and the primary side flow of the multi-energy supply system through the PID controller to realize quick response to the secondary supply water temperature of the multi-energy supply system through the following steps:
s1: establishing an objective function and a constraint condition by taking the shortest response time of the secondary water supply temperature of the multi-energy supply system as a target;
s2: solving the objective function by using an optimization algorithm, and decomposing the secondary water supply temperature into two targets of primary water outlet temperature and primary side flow of the multi-energy supply system;
s3: and inputting the primary outlet water temperature and the primary side flow into the objective function, establishing two independent closed-loop control objects, and performing PID control on the two closed-loop control objects so as to realize quick response to the secondary water supply temperature.
Further, in step S2, the solving the objective function by using the optimization algorithm is to solve the response time t of the primary effluent temperature by using the optimization algorithm1And the response time t of the primary side flow2And the response time t is compared1And t2And feeding back the parameters to the parameter adjustment of the PID controller to obtain the optimal parameters of the PID controller.
Furthermore, the parameter setting method of the PID controller is empirical setting of Ziegler-Nichols.
1. Further, solving the objective function by using the optimization algorithm is realized by the following steps:
(1) establishing an equality relation between the secondary water supply temperature of the multi-energy supply system and the primary outlet water temperature and the primary side flow of the multi-energy supply system, wherein the equality relation is expressed as follows:
ΔQ=ΔT2scρ=(T1s1-T0s0)·cρ;
wherein,ΔT2the difference e between the target temperature of the target secondary water supply and the current water outlet temperature; s is the flow rate of the secondary water supply circulating pump; t is0、T1Respectively representing the current temperature and the target temperature of the primary effluent temperature; s0、s1A current flow and a target flow which are primary side flows respectively; t is the time required for the state change; p is the power of the multi-energy supply system; t is a time constant of the circulating pump motor;
(2) establishing an objective function and a constraint condition based on the shortest response time of the secondary water supply temperature by using the equation relation in the step (1), wherein the objective function is expressed as:
F(t)={ΔT2s=T1s1-T0s0},minΔt=t1-t0;
the constraint is expressed as:
1)Tmax≥Ti≥Tminwherein: t ismaxAnd TminRespectively is the upper limit value and the lower limit value of the primary effluent temperature;
2)smax≥si≥sminwherein: smaxAnd sminThe maximum value and the minimum value of the primary side flow are respectively;
3)|ΔT2|≤|ΔT2,maxl, wherein: delta T2,maxAdjusting the maximum water temperature;
(3) and solving the objective function by using a self-adaptive particle swarm optimization algorithm to obtain the optimal parameters of the PID controller.
Further, the solving the objective function by using the adaptive particle swarm optimization algorithm comprises the following steps:
(1) randomly initializing a particle swarm: the particle speed is initialized randomly, so that the initial values of the individual optimal value and the global optimal value are both 0;
(2) calculating the adaptive value of each particle to the target function;
(3) determining global optimal particles, wherein the specific method comprises the following steps: for each particle, comparing the self-adaptive value with the individual optimal value pbest, and if the self-adaptive value is greater than the individual optimal value pbest, taking the self-adaptive value as the current individual optimal value pbest; comparing the self-adaptive value with the global optimal value gbest, and if the self-adaptive value is greater than the global optimal value gbest, taking the self-adaptive value as the current global optimal value gbest;
(4) and updating the speed and the position of the globally optimal particle, wherein the speed and the position are obtained by the following formula:
wherein: subscript i denotes the ith particle, subscript d denotes the d dimension, and superscript k denotes the current time, thenRepresenting the speed of the ith particle and the d-th dimension at the current moment; omega is inertia weight and is used for adjusting the search range of the solution space; c. C1、c2Is a learning factor used for adjusting the maximum step length of learning;
(5) calculating the fitness value of the global optimal particles to the target function;
(6) judging whether the particles are converged or not or whether the iteration times are reached, and returning to the step (3) if the particles are not converged or the iteration times are not reached; and if the convergence is already realized or the iteration number is reached, outputting the optimal solution, namely the optimal parameters of the PID controller, and ending.
Preferably, the collection module comprises a thermal resistor for collecting the operating temperature of the multi-energy supply system, a power sensor for collecting the operating power of the multi-energy supply system, a pressure transmitter for collecting the pressure of the multi-energy supply system, and an electromagnetic flowmeter for collecting the primary side flow and the secondary side flow.
More preferably, the PLC module includes a power module for supplying power to the PLC module, a CPU module, an input module for connecting the acquisition module, and an output module for connecting the remote communication module.
More preferably, the remote communication module comprises a data conversion module and a GPRS module, wherein the data conversion module is used for processing the information acquired by the acquisition module, the data conversion module is connected with the output module through an RS-485 serial port, and the GPRS module is used for transmitting a data processing result of the data conversion module to the remote monitoring terminal.
Compared with the prior art, the invention has the beneficial effects that:
the invention discloses a heat storage remote control system for a multi-energy supply system, which comprises an acquisition module for acquiring the operation information of the multi-energy supply system, a PLC module for controlling the multi-energy supply system, a communication module and a remote monitoring module, wherein the PLC module is in signal connection with the remote monitoring module through the communication module, and controls the multi-energy supply system through a PID (proportion integration differentiation) controller, so that the quick response to the secondary water supply temperature of the multi-energy supply system is realized through the PID controller, and the reliable and economic control strategy of the multi-energy supply system is realized; and through communication module can also with the operation information transmission of multipotency source supply system extremely remote monitoring module not only makes things convenient for people real-time supervision multipotency source supply system's operation, but also can make things convenient for operating personnel to pass through remote monitoring module realizes the remote control to multipotency source supply system.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical means of the present invention more clearly understood, the present invention may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present invention more clearly understood, the following preferred embodiments are described in detail with reference to the accompanying drawings.
Drawings
Fig. 1 is a schematic structural diagram of a heat storage remote control system for a multi-energy supply system according to the present invention;
FIG. 2 is a schematic view of the multi-energy supply system according to the present invention in a heating system;
wherein the reference numerals in fig. 1 and 2 are as follows:
1. an acquisition module; 2. a PLC module; 3. a remote communication module; 4. a data conversion module; 5. a GPRS module; 6. a heat storage device; 7. a heat supply user side; 8. an electric boiler; 9. and a remote monitoring module.
Detailed Description
To further illustrate the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description of the embodiments, structures, features and effects according to the present invention with reference to the accompanying drawings and preferred embodiments is as follows:
fig. 1 shows a heat accumulation remote control system for a multi-energy supply system, which includes an acquisition module 1 for acquiring operation information of the multi-energy supply system, a PLC module 2 for controlling the multi-energy supply system, a remote communication module 3, and a remote monitoring module 9, wherein the PLC module 2 is in signal connection with the remote monitoring module 9 through the remote communication module 3, and the PLC module 2 controls the multi-energy supply system through a PID controller.
Specifically, in the invention, the PLC module 2 controls the multi-energy supply system through the PID controller, so that the PLC module 2 controls the primary outlet water temperature and the primary side flow rate of the multi-energy supply system through the PID controller to realize a quick response to the secondary supply water temperature of the multi-energy supply system, thereby realizing a quick response to the secondary supply water temperature of the multi-energy supply system and realizing a reliable and economic control strategy of the multi-energy supply system; moreover, the PLC module 2 is in signal connection with the remote monitoring module 9 through the remote communication module 3, so that the heat storage remote control system transmits the operation information of the multi-energy supply system to the remote monitoring module 9 through the remote communication module 3, thereby not only facilitating the operation of the multi-energy supply system to be monitored by an operator in real time, but also facilitating the remote control of the multi-energy supply system to be realized by the operator through the remote monitoring module 9, and further, realizing data communication between different multi-energy supply systems.
It should be noted that the fast response herein means that when the operating state of the multi-energy supply system changes or the heat demand changes, the PLC module 2 adjusts the primary outlet water temperature and the primary side flow rate of the multi-energy supply system through the PID controller, so that the secondary water supply temperature of the multi-energy supply system quickly reaches the temperature at which the heat demand is met.
As a preferred embodiment, the PLC module 2 controls the primary outlet water temperature and the primary side flow rate of the multi-energy supply system through the PID controller to realize a quick response to the secondary supply water temperature of the multi-energy supply system by the following steps:
s1: establishing an objective function and a constraint condition by taking the shortest response time of the secondary water supply temperature of the multi-energy supply system as a target;
s2: solving the objective function by using an optimization algorithm, and decomposing the secondary water supply temperature into two targets of primary water outlet temperature and primary side flow of the multi-energy supply system;
s3: and inputting the primary outlet water temperature and the primary side flow into the objective function, establishing two independent closed-loop control objects, and performing PID control on the two closed-loop control objects so as to realize quick response to the secondary water supply temperature.
In some other embodiments, in step S2, the solving the objective function by using the optimization algorithm is to solve the response time t of the primary effluent temperature by using the optimization algorithm1And the response time t of the primary side flow2And the response time t is compared1And t2And feeding back the parameters to the parameter adjustment of the PID controller to obtain the optimal parameters of the PID controller.
Because the PID control can be described by using a hysteresis loop adapted to a second-order system, and for the second-order system, the order can be reduced to a first-order system by a parameter identification method, the transfer functions of two closed-loop control objects are:
wherein: k, T, τ represent the open loop gain, the inertia time constant, and the lag time constant of the control subject, respectively. Due to the response time t1And t2Setting the lag time constant to τ in accordance with the lag timei=(1-1/e)tiThen, the control strategy of PID control is as follows:
specifically, in this embodiment, the parameter setting method of the PID controller is empirical setting of Ziegler-Nichols, and a parameter of a corresponding controller is calculated according to the selected controller, where α ═ K τ/T, and a formula of the empirical setting of the Ziegler-Nichols is as follows:
as a preferred embodiment, said solving said objective function by using an optimization algorithm comprises the steps of:
(1) establishing an equality relation between the secondary water supply temperature of the multi-energy supply system and the primary outlet water temperature and the primary side flow of the multi-energy supply system, wherein the equality relation is expressed as follows:
ΔQ=ΔT2scρ=(T1s1-T0s0)·cρ,
wherein,ΔT2the difference e between the target temperature of the target secondary water supply and the current water outlet temperature; s is the flow rate of the secondary water supply circulating pump; t is0、T1Respectively representing the current temperature and the target temperature of the primary effluent temperature; s0、s1A current flow and a target flow which are primary side flows respectively; t is the time required for the state change; p is the power of the multi-energy supply system; t is a time constant of the circulating pump motor;
(2) establishing an objective function and a constraint condition based on the shortest response time of the secondary water supply temperature by using the equation relation in the step (1), wherein the objective function is expressed as:
F(t)={ΔT2s=T1s1-T0s0},minΔt=t1-t0;
the constraint is expressed as:
1)Tmax≥Ti≥Tminwherein: t ismaxAnd TminRespectively is the upper limit value and the lower limit value of the primary effluent temperature;
2)smax≥si≥sminwherein: smaxAnd sminThe maximum value and the minimum value of the primary side flow are respectively;
3)|ΔT2|≤|ΔT2,maxl, wherein: delta T2,maxAdjusting the maximum water temperature;
(3) and solving the objective function by using a self-adaptive particle swarm optimization algorithm to obtain the optimal PID control parameter.
As a preferred embodiment, the solving the objective function by using the adaptive particle swarm optimization algorithm comprises the following steps:
(1) randomly initializing a particle swarm: the particle speed is initialized randomly, so that the initial values of the individual optimal value and the global optimal value are both 0;
(2) calculating the adaptive value of each particle to the target function;
(3) determining global optimal particles, wherein the specific method comprises the following steps: for each particle, comparing the self-adaptive value with the individual optimal value pbest, and if the self-adaptive value is greater than the individual optimal value pbest, taking the self-adaptive value as the current individual optimal value pbest; comparing the self-adaptive value with the global optimal value gbest, and if the self-adaptive value is greater than the global optimal value gbest, taking the self-adaptive value as the current global optimal value gbest;
(4) and updating the speed and the position of the globally optimal particle, wherein the speed and the position are obtained by the following formula:
wherein: subscript i denotes the ith particle, subscript d denotes the d dimension, and superscript k denotes the current time, thenRepresenting the speed of the ith particle and the d-th dimension at the current moment; omega is inertia weight and is used for adjusting the search range of the solution space; c. C1、c2Is a learning factor used to adjust the maximum step size for learning.
(5) Calculating the fitness value of the global optimal particles to the target function;
(6) judging whether the particles are converged or not or whether the iteration times are reached, and returning to the step (3) if the particles are not converged or the iteration times are not reached; and if the convergence is already realized or the iteration number is reached, outputting the optimal solution, namely the optimal parameters of the PID controller, and ending.
Here, a specific method of determining whether or not the particle converges is: firstly, setting a value-added threshold value of the optimal fitness value, simultaneously determining the global fitness increment in the iterative process, and if the local fitness increment is smaller than the value-added threshold value of the optimal fitness value, judging that the particles are converged.
As a preferred embodiment, the collection module 1 includes a thermal resistor for collecting the operating temperature of the multi-energy supply system, a power sensor for collecting the operating power of the multi-energy supply system, a pressure transmitter for collecting the pressure of the multi-energy supply system, and an electromagnetic flowmeter for collecting the primary side flow and the secondary side flow, and in the present invention, the operation information includes an indoor temperature, an outdoor temperature, the temperature of the multi-energy supply system, the current operating power of the multi-energy supply system, the current heat storage capacity of the multi-energy supply system, the on-off condition of the circulation pump, the current operation mode (manual or automatic), the secondary water supply (flow, temperature), the secondary water return (flow, temperature), the secondary pressure supply, the secondary water return, the valve opening, the peak-valley level electric quantity data, the time coordinate, and the like.
In the invention, the PLC module 2 includes a power module for supplying power to the PLC module 2, a CPU module, an input module for connecting the acquisition module 1, and an output module for connecting the remote communication module 3.
Specifically, the input module includes a signal analog input module for connecting the signal analog terminal strip of the acquisition module 1, a digital analog input module for connecting the digital terminal strip of the acquisition module 1, and a thermal resistance input module for connecting the temperature terminal strip of the acquisition module 1. In order to facilitate the operator to realize real-time monitoring and remote control of the heat storage remote control system through the remote monitoring module 9, the remote monitoring module 9 comprises a touch display screen, the touch display screen is used for displaying the operation information, so that the operator can conveniently monitor the multi-energy supply system in real time, and the touch display screen can also be used for facilitating setting of the operator according to local power utilization data on peaks, valleys and ordinary times, so that different control strategies can be realized when the multi-energy supply system is applied to heating.
The remote communication module 3 comprises a data conversion module 4 and a GPRS module 5, wherein the data conversion module 4 is used for processing data of the information acquired by the acquisition module 1, the data conversion module 4 is connected with the output module through an RS-485 serial port, and the GPRS module 5 is used for transmitting a data processing result of the data conversion module 4 to the remote monitoring module 9.
In the present invention, the data conversion module 4 is a protocol converter for converting Modbus-RTU into DL/T634.5104-2009 (104 for short), so that a master-slave communication mode is adopted between the PLC module 2 and the remote monitoring module 9, that is, the remote monitoring module 9 sends an inquiry or control instruction to the PLC module 2 through the GPRS module 5, the PLC module 2 completes an instruction task, reads register data or controls the multi-energy supply system, and sends a response instruction to the remote monitoring module 9, where it is indicated whether to complete the task of the inquiry instruction and feed back required data to the remote monitoring module.
Specifically, the method for the PLC module 2 to communicate with the remote monitoring module 9 is as follows:
if the remote monitoring module 9 sends out an inquiry command for communication, it includes the following steps:
step 1: the GPRS module 5 receives data frame data of 104 specifications sent by the remote monitoring module 9 through the ethernet;
step 2: sending the data frame to the data conversion module 4;
and step 3: the data conversion module 4 performs data conversion on the data frame data of the 104 specification;
and 4, step 4: storing the data after protocol conversion, and converting the parallel data into serial data through buffering of a UART chip;
and 5: and the data is transmitted to an RS-485 interface connected with the PLC module 2 through the driving of an RS-485 transceiver.
If the PLC module 2 sends out a response instruction for communication, the method comprises the following steps:
step 1: the PLC transmits data frame data of a Modbus-RTU protocol to the protocol converter through the RS-485 interface;
step 2: the data frame data is subjected to level conversion through the driving of an RS-485 transceiver;
and step 3: the serial data is converted into parallel data through buffering of a UART chip and transmitted to a main controller;
and 4, step 4: the main controller performs data conversion on data frame data of a Modbus protocol;
and 5: and storing the data after the protocol conversion, and sending the data to the remote monitoring module 9 through the GPRS module 5.
According to the above, the heat storage remote control system for the multi-energy supply system transmits the operation parameters of the multi-energy supply system to the remote monitoring module 9 through the PLC module 2, so that not only is the remote monitoring of the multi-energy supply system by the staff realized, but also the regulation and the planning of the power grid by the scheduling staff are facilitated.
In the present invention, the data conversion module 4 includes a first power module for supplying power to the data conversion module, a driving module, a buffering module, a main control module, and a storage module, wherein: the first power module adopts LH10-13B05 which can provide 5V and 3.3V voltage for the main control module, and further comprises an overcurrent protection unit, an overvoltage protection unit and a reverse connection protection unit.
As a preferred embodiment, the first power supply module includes an EMI suppressor, a regulator controller, a regulator filter, and a level shifter, wherein: the EMI inhibitor is used for inhibiting electromagnetic interference of input voltage and adopts a BNX012-01 chip; the voltage stabilizing controller is used for converting an input voltage into a stable direct current voltage and adopts an LTC1624I chip; the level shifter is used for converting 5V voltage into 3.3V voltage, and an SPX1117M3 chip is adopted.
The driving module is used for receiving the signal of the RS-485 transceiver, processing the signal and transmitting the processed signal to the buffering module, and specifically, an SN65HVD82D is adopted by a main chip of the driving module, is connected with a 485 or 232 interface and can withstand ESD events; the buffering module adopts SC16C550B and is used for realizing information conversion between serial communication and parallel communication and transmitting signals to the main control module; the main control module is used for realizing data processing in the data conversion process, and an embedded ARM processor of the main control module adopts an STM32F217ZGT chip as a main chip in the conference converter; in the main control module, a clock chip for providing a clock signal by an ARM chip adopts a PCF8563T chip, the PCF chip provides a programmable clock output, an interrupt output and a power failure detector, and the maximum bus speed is 400 kbits/s; the storage module is used for storing data frame data after protocol conversion of the main controller, is connected with the main control module, and in the storage module, an AT45DB161D chip is a FLASH ROM of an SPI interface, and provides a 4M storage space.
As shown in fig. 2, which is a schematic structural diagram of the multi-energy supply system when the multi-energy supply system is a heating system and heats a heating user 7, since a daily operation time period is divided into a peak power period, a flat power period, and a valley power period according to a power grid scheduling condition, when the thermal storage remote control system is applied to the heating system, the thermal storage remote control system includes the following three control strategies for the heating system:
(1) peak power period: if the heat storage temperature of the heat storage device 6 is greater than the lower heat charging limit + (upper heat charging limit-lower heat charging limit)/3, the heat storage device 6 heats at the moment, and the electric boiler 8 stops operating; if the lower heat charging limit is less than the heat storage temperature of the heat storage device 6 less than the lower heat charging limit + (upper heat charging limit-lower heat charging limit)/3, the heat storage device 6 and the electric boiler 8 simultaneously heat; when the heat storage temperature of the heat storage device 6 is less than the lower limit of the charging temperature, the electric boiler 8 heats and stores heat in the heat storage device 6.
(2) In the flat period: if the heat storage temperature of the heat storage device 6 is greater than the lower heat charging limit +2 (upper heat charging limit-lower heat charging limit)/3, the heat storage device 6 heats at the moment, and the electric boiler 8 stops operating; if the lower charging limit + (upper charging limit-lower charging limit)/3 < the heat storage temperature of the heat storage device 6 < lower charging limit +2 (upper charging limit-lower charging limit)/3, the heat storage device 6 and the electric boiler 8 simultaneously perform heating; when the heat storage temperature of the heat storage device 6 is less than the lower charging limit + (upper charging limit-lower charging limit)/3, the electric boiler 8 heats and stores heat in the heat storage device 6.
(3) In a valley power period: if the heat storage temperature of the heat storage device 6 is higher than the upper heat charging limit, the heat storage device 6 supplies heat, and the electric boiler 8 stops running; if the heat storage temperature of the heat storage device 6 is less than the upper limit of heat charging, the heat storage device 6 does not participate in heating, and the electric boiler 8 heats and stores heat in the heat storage device 6.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.
Claims (4)
1. A heat storage remote control system for a multi-energy supply system comprises an acquisition module for acquiring operation information of the multi-energy supply system, a PLC module for controlling the multi-energy supply system, a remote communication module and a remote monitoring module, wherein the PLC module is in signal connection with the remote monitoring module through the remote communication module, and the heat storage remote control system is characterized in that: the PLC module controls the multi-energy supply system through a PID controller;
the PLC module controls the multi-energy supply system through the PID controller, and controls the primary outlet water temperature and the primary side flow of the multi-energy supply system through the PID controller so as to realize quick response to the secondary supply water temperature of the multi-energy supply system;
the PLC module controls the primary outlet water temperature and the primary side flow of the multi-energy supply system through the PID controller to realize the quick response to the secondary supply water temperature of the multi-energy supply system through the following steps:
s1: establishing an objective function and a constraint condition by taking the shortest response time of the secondary water supply temperature of the multi-energy supply system as a target;
s2: solving the objective function by using an optimization algorithm, and decomposing the secondary water supply temperature into two targets of primary water outlet temperature and primary side flow of the multi-energy supply system;
s3: inputting the primary outlet water temperature and the primary side flow into the objective function, establishing two independent closed-loop control objects, and then carrying out PID control on the two closed-loop control objects so as to realize quick response to the secondary water supply temperature;
in step S2, the solving the objective function by using the optimization algorithm is to solve the response time t of the primary effluent temperature by using the optimization algorithm1And the response time t of the primary side flow2And the response time t is compared1And t2Feeding back the parameters to the parameter adjustment of the PID controller to obtain the optimal parameters of the PID controller;
the parameter setting method of the PID controller is the empirical setting of Ziegler-Nichols;
solving the objective function by using an optimization algorithm is realized by the following steps: (1) establishing an equality relation between the secondary water supply temperature of the multi-energy supply system and the primary outlet water temperature and the primary side flow of the multi-energy supply system, wherein the equality relation is expressed as follows: Δ Q ═ Δ T2scp=(T1s1-T0s0)·cρ,
Wherein,ΔT2the difference e between the target temperature of the target secondary water supply and the current water outlet temperature; s is the flow rate of the secondary water supply circulating pump; t is0、T1Respectively representing the current temperature and the target temperature of the primary effluent temperature; s0、s1A current flow and a target flow which are primary side flows respectively; t is the time required for the state change; p is the power of the multi-energy supply system; t is a time constant of the circulating pump motor;
(2) establishing an objective function and constraint based on the shortest response time of the secondary water supply temperature by using the equation relation in the step (1)The condition, the objective function, is expressed as: f (T) { Δ T ═ T2s=T1s1-T0s0},minΔt=t1-t0;
The constraint is expressed as:
1)Tmax≥Ti≥Tminwherein: t ismaxAnd TminRespectively is the upper limit value and the lower limit value of the primary effluent temperature;
2)smax≥si≥sminwherein: smaxAnd sminThe maximum value and the minimum value of the primary side flow are respectively;
3)|ΔT2|≤|ΔT2,maxl, wherein: delta T2,maxAdjusting the maximum water temperature;
(3) and solving the objective function by using a self-adaptive particle swarm optimization algorithm to obtain the optimal parameters of the PID controller.
2. The thermal storage remote control system for a multi-energy supply system according to claim 1, characterized in that: the acquisition module comprises a thermal resistor for acquiring the operating temperature of the multi-energy supply system, a power sensor for acquiring the operating power of the multi-energy supply system, a pressure transmitter for acquiring the pressure of the multi-energy supply system and an electromagnetic flowmeter for acquiring the primary side flow and the secondary side flow.
3. The thermal storage remote control system for a multi-energy supply system according to claim 2, characterized in that: the PLC module comprises a power module for supplying power to the PLC module, a CPU module, an input module for connecting the acquisition module and an output module for connecting the remote communication module.
4. The thermal storage remote control system for a multi-energy supply system according to claim 3, characterized in that: the remote communication module comprises a data conversion module and a GPRS module, wherein the data conversion module is used for processing the information acquired by the acquisition module, the data conversion module is connected with the output module through an RS-485 serial port, and the GPRS module is used for transmitting a data processing result of the data conversion module to the remote monitoring terminal.
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