CN110686380A - Method and device for regulating and controlling air conditioner load cluster - Google Patents
Method and device for regulating and controlling air conditioner load cluster Download PDFInfo
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Abstract
The invention provides a method and a device for regulating and controlling an air conditioner load cluster, wherein the method for regulating and controlling the air conditioner load cluster comprises the following steps: generating a regulation and control power error according to the total power of the air conditioner load cluster and the pre-generated reference power of the air conditioner load cluster; generating control parameters used in the air conditioner load cluster regulation process according to the regulation power error based on a second-order equivalent thermal parameter model; and generating the target set temperature of the air conditioner load cluster according to the regulating power error and the control parameter. The method and the device for regulating and controlling the air conditioner load cluster solve the problem of large controlled data volume by a method of closed-loop control and broadcasting control signals; and optimizing the control parameters through a second-order equivalent thermal parameter model. Thereby ensuring reliable and accurate response of a large amount of air conditioner loads.
Description
Technical Field
The invention relates to the field of power industry, in particular to an air conditioner load cluster control strategy technology, and specifically relates to an air conditioner load cluster regulation and control method and device.
Background
The power demand response means that power load is controlled according to the demand of the power grid and is matched with power generation side resources, so that the aim of adjusting power supply and demand balance is fulfilled. With the development of economic society, air conditioning equipment is widely applied, can even reach 50-65% in large and medium-sized cities in China, and is in an increasing trend. The air conditioner load is used as a seasonal load, and the use time period is concentrated, so that load spikes of a power grid are easily caused, and even the voltage safety of the power grid is endangered. Therefore, the problems caused by the air conditioning load in the construction of the smart grid cannot be ignored. The air conditioning load has good heat storage and cold storage capacity, so that the influence of regulating the power consumption of the air conditioning load on users is small, and the air conditioning load is one of the most suitable load types participating in power demand response. However, the air conditioner load clusters have the problems of large quantity, high uncertainty and the like in the process of participating in the power demand response control, and the traditional centralized control and open-loop control method is difficult to ensure accurate and reliable response.
Disclosure of Invention
The regulation and control method of the air conditioner load cluster provided by the invention realizes accurate tracking of the reference control signal; and the control signal is sent in a broadcasting mode, so that the communication cost is saved.
In order to achieve the above object, there is provided a method for controlling an air conditioner load cluster, including:
generating a regulation and control power error according to the total power of the air conditioner load cluster and the pre-generated reference power of the air conditioner load cluster;
generating control parameters used in the air conditioner load cluster regulation process according to the regulation power error based on a second-order equivalent thermal parameter model;
and generating the target set temperature of the air conditioner load cluster according to the regulating power error and the control parameter.
In one embodiment, the method for regulating and controlling the air conditioning load cluster further includes:
generating a baseline load power of the air conditioning load cluster according to historical power data of the air conditioning load cluster;
and generating reference power of the air conditioning load cluster according to the baseline load power and the target power regulating quantity of the power grid where the air conditioning load cluster is located.
In one embodiment, the generating, based on the second-order equivalent thermal parameter model, a control parameter used in the air-conditioning load cluster regulation process according to the regulation power error includes:
generating a regulation power error curve based on the second-order equivalent thermal parameter model;
calculating the fitness of the regulation power error according to the regulation power error curve;
and generating the control parameters by using a cross and variation method according to the fitness.
In one embodiment, the method for regulating and controlling the air conditioning load cluster further includes: and transmitting the target set temperature to each air conditioner in the air conditioner load cluster in a broadcasting mode.
In a second aspect, the present invention provides a device for regulating and controlling an air conditioning load cluster, including:
the error generating unit is used for generating a regulation and control power error according to the total power of the air conditioner load cluster and the pre-generated reference power of the air conditioner load cluster;
the parameter generation unit is used for generating control parameters used in the air conditioner load cluster regulation and control process according to the regulation and control power error based on a second-order equivalent thermal parameter model;
and the temperature generating unit is used for generating the target set temperature of the air conditioner load cluster according to the regulation power error and the control parameter.
In one embodiment, the control device for an air conditioning load cluster further includes:
the load power generation unit is used for generating baseline load power of the air conditioner load cluster according to historical power data of the air conditioner load cluster;
and the reference power generation unit is used for generating the reference power of the air conditioner load cluster according to the baseline load power and the target power regulation quantity of the power grid where the air conditioner load cluster is located.
In one embodiment, the parameter generation unit includes:
the curve generation module is used for generating a regulation power error curve based on the second-order equivalent thermal parameter model;
the fitness calculating module is used for calculating the fitness of the regulation power error according to the regulation power error curve;
and the control parameter generating module is used for generating the control parameters by using a crossing and variation method according to the fitness.
In one embodiment, the control device for an air conditioning load cluster further includes: and the broadcasting unit is used for sending the target set temperature to each air conditioner in the air conditioner load cluster in a broadcasting mode.
In a third aspect, the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements a method for regulating and controlling an air conditioning load cluster when executing the computer program.
In a fourth aspect, the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of a method for regulating an air conditioning load cluster.
As can be seen from the above description, the present invention provides a method and an apparatus for regulating and controlling an air conditioning load cluster, first generating a regulation and control power error according to a total power of the air conditioning load cluster and a reference power of the air conditioning load cluster generated in advance; then optimizing control parameters used in the air conditioner load cluster regulation and control process according to the regulation and control power error based on a second-order equivalent thermal parameter model; and finally, determining the target set temperature of the air conditioner load cluster through the optimized control parameters. Compared with the prior art, the method and the device for regulating and controlling the air conditioner load cluster have the following beneficial effects: 1. the control method for the participation of the air conditioner load cluster in demand response is provided, and the accurate tracking of the reference control signal is realized based on the control error signal and the AHC control method; 2. the control signal adopts the air conditioner temperature set value Tset and adopts a broadcasting mode to send the control signal, so that the communication cost is saved. 3. And the control parameters are optimized by adopting a genetic algorithm, so that the control effect is improved. In summary, the method and the device for regulating and controlling the air conditioner load cluster provided by the invention solve the problem of large controlled data volume by a method of closed-loop control and broadcasting control signals; and optimizing the control parameters through a second-order equivalent thermal parameter model. Thereby ensuring reliable and accurate response of a large amount of air conditioner loads.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a first schematic flow chart of a regulation and control method of an air conditioner load cluster in an embodiment of the present invention;
fig. 2 is a schematic flow chart of a regulating method of an air conditioner load cluster in the embodiment of the present invention;
FIG. 3 is a flowchart illustrating the steps 200 of a method for predicting the amount of cash used by a banking outlet according to an embodiment of the present invention;
fig. 4 is a schematic flow chart of a third method for regulating and controlling an air-conditioning load cluster according to an embodiment of the present invention;
fig. 5 is a schematic flow chart of a method for regulating and controlling an air conditioner load cluster in a specific application example of the present invention;
FIG. 6 is a diagram illustrating a method for regulating an air conditioning load cluster according to an embodiment of the present invention;
FIG. 7 shows a baseline load power P of an air conditioner according to an embodiment of the present inventionNAnd a reference power PreferenceA graph;
FIG. 8 shows the set value T of the air conditioner temperature in the embodiment of the present inventionsetThe curve of (d);
FIG. 9 is a graph of the total load of the system after demand response control of the air conditioning load cluster in an exemplary embodiment of the present invention;
fig. 10 is a first schematic structural diagram of a control device of an air conditioner load cluster in an embodiment of the present invention;
fig. 11 is a schematic structural diagram of a second regulating device of an air conditioner load cluster in a specific application example of the present invention;
FIG. 12 is a diagram illustrating a parameter generating unit according to an embodiment of the present invention;
fig. 13 is a third schematic structural diagram of a regulating and controlling device of an air conditioning load cluster in a specific application example of the present invention;
fig. 14 is a schematic structural diagram of an electronic device in an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In view of the problems of numerous air conditioner load clusters, large uncertainty and the like in the process of participating in power demand response control in the prior art, the traditional centralized control and open-loop control method is difficult to ensure accurate and reliable response. The embodiment of the invention provides a specific implementation mode of a regulation and control method of an air conditioner load cluster, and the method is shown in figure 110The method specifically comprises the following steps:
step 100: and generating a regulation and control power error according to the total power of the air conditioner load cluster and the pre-generated reference power of the air conditioner load cluster.
Specifically, the total power P of the air conditioner load cluster is compared with the reference power Preference to obtain a regulation power error Δ err.
Δerr＝Preference-P (1)
It will be appreciated that step 100 achieves the desired system performance through closed loop feedback control, specifically, by comparing the deviation between the system behavior (output, regulated power error Δ err) and the desired behavior (reference power Preference) and eliminating the deviation. In closed-loop feedback control, there are both a forward path of the signal from the input to the output and a feedback path of the signal from the output to the input, both of which form a closed loop. The influence of various interferences in a forward channel (from input to output) surrounded by a feedback channel (from output to input) on the input quantity (total power P) of the system can be effectively inhibited, the static accuracy of the system is improved, and in addition, the total power of the air-conditioning load cluster can be measured by utilizing a power measuring device.
Step 200: and generating control parameters used in the air conditioner load cluster regulation and control process according to the regulation and control power error based on a second-order equivalent thermal parameter model.
Step 300: and generating the target set temperature of the air conditioner load cluster according to the regulating power error and the control parameter.
Specifically, a target set temperature of the air conditioner load cluster is generated according to the control power error generated in step 100 and step 200 and the optimized control parameter by using an adaptive hill climbing control method (AHC for short).
Tset(t)＝Tset(t-1)+KΔerr (2)
＝Tset(t-1)+K(Preference-P)
Wherein T isset(T) and Tset(t-1) are the temperature set values at the t-th sampling point (time) and the t-1 th sampling point (time), respectively.
It can be understood that the adaptive hill-climbing method adopted in step 300 has the advantages of fast tracking speed and high accuracy for the reference control signal, and eliminating oscillation at the maximum power point.
As can be seen from the above description, the present invention provides a method for regulating and controlling an air conditioning load cluster, which includes generating a regulation and control power error according to a total power of the air conditioning load cluster and a reference power of the air conditioning load cluster generated in advance; then, optimizing control parameters used in the air conditioner load cluster regulation and control process according to the regulation and control power error based on a second-order equivalent thermal parameter model; and finally, determining the target set temperature of the air conditioner load cluster through the optimized control parameters. Compared with the prior art, the method and the device for regulating and controlling the air conditioner load cluster have the following beneficial effects: 1. the control method for the participation of the air conditioner load cluster in demand response is provided, and the accurate tracking of the reference control signal is realized based on the control error signal and the AHC control method; 2. the control signal adopts the air conditioner temperature set value Tset and adopts a broadcasting mode to send the control signal, so that the communication cost is saved. 3. And the control parameters are optimized by adopting a genetic algorithm, so that the control effect is improved. In summary, the method and the device for regulating and controlling the air conditioner load cluster provided by the invention solve the problem of large controlled data volume by a method of closed-loop control and broadcasting control signals; and optimizing the control parameters through a second-order equivalent thermal parameter model. Thereby ensuring reliable and accurate response of a large amount of air conditioner loads.
In an embodiment, referring to fig. 2, the method for controlling an air conditioning load cluster further includes:
step 400: and generating the baseline load power of the air conditioning load cluster according to the historical power data of the air conditioning load cluster.
Step 500: and generating reference power of the air conditioning load cluster according to the baseline load power and the target power regulating quantity of the power grid where the air conditioning load cluster is located.
In steps 400 to 500, the base line load power P of N air conditioners is obtained based on a large amount of historical dataN(ii) a And obtains the required power regulation (i.e. additional control signal) Psupple of the power grid according to the operation requirement of the power grid. On the basis, obtaining the reference power Preference of the air conditioning load:
Preference＝PN+Psupple(3)
in one embodiment, referring to fig. 3, step 200 specifically includes:
step 201: and generating a regulation power error curve based on the second-order equivalent thermal parameter model.
Step 202: and calculating the fitness of the regulation power error according to the regulation power error curve.
Step 203: and generating the control parameters by using a cross and variation method according to the fitness.
In steps 201 to 203, the analog circuit principle expresses the indoor thermodynamic relationship by using a state equation, that is, the second-order equivalent thermal parameter model of a single air conditioner load in the air conditioner load cluster can be expressed as:
wherein, TaIs the temperature of the indoor air, TmIs room solid temperature, ToOutdoor temperature, PiFor electric power of air-conditioning, RaIs the thermal resistance of air, RmIs the thermal resistance of indoor air to solid, CaIs the heat capacity of air, CmIs the solid heat capacity and eta is the thermal efficiency. A and B are coefficient matrices of the state equation (A is represented by R)a，Rm，Ca，CmConsists of To, Pi，η，Ra，CaComposed of T) and x is a state vector (composed of T)a，TmComposition).
By discretization, the differential equation can be converted into the form of a differential equation:
x(t+1)＝(1+A·Δt)x(t)+B·Δt (5)
and the electric power of the air conditioner may be expressed as:
wherein P is0For the rated power of the air conditioner, Δ T is the dead zone temperature of the air conditioner control.
The total power P of the air-conditioning cluster is obtained by summing the power of the individual air-conditioners, i.e.
P＝ΣPi。 (7)
The combination formulas (2) to (7) can be used for performing dynamic simulation on participation of the air-conditioning cluster in demand response control to obtain a delta err curve, and the delta err curve and the T are used forsetAnd calculating the fitness to determine the control effect. The fitness function may be expressed as:
wherein T isset0For reference values of air-conditioning temperature, i.e. temperature set values not taking into account demand response control, tsimFor the duration of the dynamic simulation, a relatively large value is generally taken, and W1And W2Are weights. By writing the fitness function as Δ err and TsetIs used to reflect the dual requirements on control effectiveness (control error) and temperature (comfort).
It can be understood that optimizing the control parameter K based on the second-order equivalent thermal parameter model has the advantage of high accuracy, and in addition, the optimized fitness function is expressed in the form of the square integral of the control error and the deviation of the temperature set value, so that the dual requirements of control effect (control error) and temperature (user comfort) are considered in the optimization process.
In an embodiment, referring to fig. 4, the method for controlling an air conditioning load cluster further includes:
step 600: and transmitting the target set temperature to each air conditioner in the air conditioner load cluster in a broadcasting mode.
It can be understood that the control signal adopts the air conditioner temperature set value TsetBy broadcasting TsetAnd issuing the data to each air conditioning load. The control signal is sent in a broadcasting mode, so that the problems of large data volume and communication blockage caused by bidirectional communication can be effectively avoided, and the communication cost is saved.
As can be seen from the above description, the present invention provides a method for regulating and controlling an air conditioning load cluster, which includes generating a regulation and control power error according to a total power of the air conditioning load cluster and a reference power of the air conditioning load cluster generated in advance; then, optimizing control parameters used in the air conditioner load cluster regulation and control process according to the regulation and control power error based on a second-order equivalent thermal parameter model; and finally, determining the target set temperature of the air conditioner load cluster through the optimized control parameters. Compared with the prior art, the method and the device for regulating and controlling the air conditioner load cluster have the following beneficial effects: 1. the control method for the participation of the air conditioner load cluster in demand response is provided, and the accurate tracking of the reference control signal is realized based on the control error signal and the AHC control method; 2. the control signal adopts the air conditioner temperature set value Tset and adopts a broadcasting mode to send the control signal, so that the communication cost is saved. 3. And the control parameters are optimized by adopting a genetic algorithm, so that the control effect is improved. In summary, the method and the device for regulating and controlling the air conditioner load cluster provided by the invention solve the problem of large controlled data volume by a method of closed-loop control and broadcasting control signals; and optimizing the control parameters through a second-order equivalent thermal parameter model. Thereby ensuring reliable and accurate response of a large amount of air conditioner loads.
To further explain the scheme, the invention further provides a specific application example of the regulation and control method of the air conditioner load cluster, and the specific application example specifically includes the following contents, and refer to fig. 5.
S0: and generating the baseline load power of the air conditioning load cluster according to the historical power data of the air conditioning load cluster.
S1: and generating reference power of the air conditioning load cluster according to the baseline load power and the target power regulating quantity of the power grid where the air conditioning load cluster is located.
In steps S0 and S1, as shown in fig. 6, in order to control the air conditioning load cluster, the reference power P of the air conditioning load needs to be calculated firstreference. Firstly, based on a large amount of historical data, obtaining base line load power P of N air conditionersN(ii) a And obtains the power regulation (i.e. additional control signal) P required by the power grid according to the operation requirement of the power gridsupple. On the basis, the reference power P of the air conditioning load is obtainedreference，PNAnd PreferenceThe curve of (a) is shown in fig. 7.
S2: and generating a regulation power error curve based on the second-order equivalent thermal parameter model.
S3: and calculating the fitness of the regulation power error according to the regulation power error curve.
S4: and generating the control parameters by using a cross and variation method according to the fitness.
S5: and generating the target set temperature of the air conditioner load cluster according to the regulating power error and the control parameter.
In steps S2 to S5, the power control is AHC control, and the total power P of the N air conditioners measured by the mass power measuring units and the reference power P arereferenceComparing to obtain an error signal delta err ═ Preference-P. Sending the error signal delta err to an AHC calculation module to obtain an air conditioner temperature set value T through calculation of a formula (2)set，TsetThe curve of (a) is shown in fig. 8.
When the control parameter K is optimized by adopting a genetic algorithm, based on a second-order equivalent thermal parameter model, the combination formulas (2) - (7) can be used for performing dynamic simulation on participation of the air conditioner cluster in demand response control to obtain a curve of delta err, and the fitness (such as the square integral of the delta err) is calculated according to the curve of the delta err to determine the quality of the control effect. And finally obtaining the optimal value of K by adopting a genetic algorithm. Specifically, the process of optimizing the control parameter K by using the genetic algorithm is as follows:
the first step is as follows: initializing values of a set of parameters K;
the second step is that: and (3) calculating a delta err curve through the dynamic model described in the (2) to (7) according to the value of K, and calculating the fitness (such as the square integral of the delta err) according to the delta err.
The third step: and selecting proper K according to the value of the fitness, and performing operations such as crossing, mutation and the like to generate a group of new K values. If the termination condition is met, ending; if not, returning to the second step.
The final obtained K value is the optimization result.
S6: and transmitting the target set temperature to each air conditioner in the air conditioner load cluster in a broadcasting mode.
The control result of the air conditioner load cluster by adopting the method is shown in fig. 9, and the peak clipping and valley filling of the power grid load can be realized by accurately tracking the air conditioner load reference power signal, so that the requirement of safe and stable operation of the power grid is met.
As can be seen from the above description, the present invention provides a method for regulating and controlling an air conditioning load cluster, which includes generating a regulation and control power error according to a total power of the air conditioning load cluster and a reference power of the air conditioning load cluster generated in advance; then, optimizing control parameters used in the air conditioner load cluster regulation and control process according to the regulation and control power error based on a second-order equivalent thermal parameter model; and finally, determining the target set temperature of the air conditioner load cluster through the optimized control parameters. Compared with the prior art, the method and the device for regulating and controlling the air conditioner load cluster have the following beneficial effects: 1. the control method for the participation of the air conditioner load cluster in demand response is provided, and the accurate tracking of the reference control signal is realized based on the control error signal and the AHC control method; 2. the control signal adopts the air conditioner temperature set value Tset and adopts a broadcasting mode to send the control signal, so that the communication cost is saved. 3. And the control parameters are optimized by adopting a genetic algorithm, so that the control effect is improved. In summary, the method and the device for regulating and controlling the air conditioner load cluster provided by the invention solve the problem of large controlled data volume by a method of closed-loop control and broadcasting control signals; and optimizing the control parameters through a second-order equivalent thermal parameter model. Thereby ensuring reliable and accurate response of a large amount of air conditioner loads.
Based on the same inventive concept, the embodiment of the present application further provides a control device for an air conditioner load cluster, which can be used to implement the method described in the above embodiment, such as the following embodiments. The principle of the regulation and control device of the air conditioner load cluster for solving the problems is similar to that of the regulation and control method of the air conditioner load cluster, so that the implementation of the regulation and control device of the air conditioner load cluster can be realized by the regulation and control method of the air conditioner load cluster, and repeated parts are not repeated. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. While the system described in the embodiments below is preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.
An embodiment of the present invention provides a specific implementation manner of a control device of an air conditioning load cluster, which is capable of implementing a control method of the air conditioning load cluster, and referring to fig. 10, the control device of the air conditioning load cluster specifically includes the following contents:
the error generating unit 10 is configured to generate a regulation and control power error according to the total power of the air-conditioning load cluster and a reference power of the air-conditioning load cluster generated in advance;
the parameter generating unit 20 is configured to generate a control parameter used in the air conditioner load cluster regulation process according to the regulation power error based on a second-order equivalent thermal parameter model;
and the temperature generating unit 30 is configured to generate a target set temperature of the air-conditioning load cluster according to the control power error and the control parameter.
In one embodiment, referring to fig. 11, the control device for an air conditioning load cluster further includes:
a load power generation unit 40, configured to generate a baseline load power of the air-conditioning load cluster according to historical power data of the air-conditioning load cluster;
and the reference power generation unit 50 is configured to generate reference power of the air conditioning load cluster according to the baseline load power and the target power adjustment amount of the power grid where the air conditioning load cluster is located.
In one embodiment, referring to fig. 12, the parameter generating unit 20 includes:
a curve generating module 201, configured to generate a regulation power error curve based on the second-order equivalent thermal parameter model;
a fitness calculating module 202, configured to calculate a fitness of the regulated power error according to the regulated power error curve;
and a control parameter generating module 203, configured to generate the control parameter by using a cross and variance method according to the fitness.
In one embodiment, referring to fig. 13, the control device for an air conditioning load cluster further includes: and a broadcasting unit 60, configured to issue the target set temperature to each air conditioner in the air conditioner load cluster in a broadcasting manner.
As can be seen from the above description, the present invention provides a regulation and control device for an air conditioning load cluster, which first generates a regulation and control power error according to the total power of the air conditioning load cluster and the reference power of the air conditioning load cluster generated in advance; then, optimizing control parameters used in the air conditioner load cluster regulation and control process according to the regulation and control power error based on a second-order equivalent thermal parameter model; and finally, determining the target set temperature of the air conditioner load cluster through the optimized control parameters. Compared with the prior art, the method and the device for regulating and controlling the air conditioner load cluster have the following beneficial effects: 1. the control method for the participation of the air conditioner load cluster in demand response is provided, and the accurate tracking of the reference control signal is realized based on the control error signal and the AHC control method; 2. the control signal adopts the air conditioner temperature set value Tset and adopts a broadcasting mode to send the control signal, so that the communication cost is saved. 3. And the control parameters are optimized by adopting a genetic algorithm, so that the control effect is improved. In summary, the method and the device for regulating and controlling the air conditioner load cluster provided by the invention solve the problem of large controlled data volume by a method of closed-loop control and broadcasting control signals; and optimizing the control parameters through a second-order equivalent thermal parameter model. Thereby ensuring reliable and accurate response of a large amount of air conditioner loads.
An embodiment of the present application further provides a specific implementation manner of an electronic device, which is capable of implementing all steps in the method for regulating and controlling an air-conditioning load cluster in the foregoing embodiment, and referring to fig. 14, the electronic device specifically includes the following contents:
a processor (processor)1201, a memory (memory)1202, a communication interface 1203, and a bus 1204;
the processor 1201, the memory 1202 and the communication interface 1203 complete communication with each other through the bus 1204; the communication interface 1203 is configured to implement information transmission between related devices, such as a server-side device, a power measurement device, an air conditioning device, and a client device.
The processor 1201 is configured to call a computer program in the memory 1202, and when the processor executes the computer program, all steps in the method for regulating and controlling an air conditioning load cluster in the foregoing embodiment are implemented, for example, when the processor executes the computer program, the following steps are implemented:
step 100: generating a regulation and control power error according to the total power of the air conditioner load cluster and the pre-generated reference power of the air conditioner load cluster;
step 200: generating control parameters used in the air conditioner load cluster regulation process according to the regulation power error based on a second-order equivalent thermal parameter model;
step 300: and generating the target set temperature of the air conditioner load cluster according to the regulating power error and the control parameter.
As can be seen from the above description, in the electronic device in the embodiment of the present application, a regulation power error is generated according to the total power of an air-conditioning load cluster and the reference power of the air-conditioning load cluster generated in advance; then, optimizing control parameters used in the air conditioner load cluster regulation and control process according to the regulation and control power error based on a second-order equivalent thermal parameter model; and finally, determining the target set temperature of the air conditioner load cluster through the optimized control parameters. Compared with the prior art, the method and the device for regulating and controlling the air conditioner load cluster have the following beneficial effects: 1. the control method for the participation of the air conditioner load cluster in demand response is provided, and the accurate tracking of the reference control signal is realized based on the control error signal and the AHC control method; 2. the control signal adopts the air conditioner temperature set value Tset and adopts a broadcasting mode to send the control signal, so that the communication cost is saved. 3. And the control parameters are optimized by adopting a genetic algorithm, so that the control effect is improved. In summary, the method and the device for regulating and controlling the air conditioner load cluster provided by the invention solve the problem of large controlled data volume by a method of closed-loop control and broadcasting control signals; and optimizing the control parameters through a second-order equivalent thermal parameter model. Thereby ensuring reliable and accurate response of a large amount of air conditioner loads.
An embodiment of the present application further provides a computer-readable storage medium capable of implementing all the steps in the method for controlling an air conditioning load cluster in the foregoing embodiment, where the computer-readable storage medium stores a computer program, and the computer program, when executed by a processor, implements all the steps in the method for controlling an air conditioning load cluster in the foregoing embodiment, for example, when the processor executes the computer program, the processor implements the following steps:
step 100: generating a regulation and control power error according to the total power of the air conditioner load cluster and the pre-generated reference power of the air conditioner load cluster;
step 200: generating control parameters used in the air conditioner load cluster regulation process according to the regulation power error based on a second-order equivalent thermal parameter model;
step 300: and generating the target set temperature of the air conditioner load cluster according to the regulating power error and the control parameter.
As can be seen from the above description, in the computer-readable storage medium in the embodiment of the present application, first, a regulation and control power error is generated according to the total power of an air-conditioning load cluster and the reference power of the air-conditioning load cluster generated in advance; then, optimizing control parameters used in the air conditioner load cluster regulation and control process according to the regulation and control power error based on a second-order equivalent thermal parameter model; and finally, determining the target set temperature of the air conditioner load cluster through the optimized control parameters. Compared with the prior art, the method and the device for regulating and controlling the air conditioner load cluster have the following beneficial effects: 1. the control method for the participation of the air conditioner load cluster in demand response is provided, and the accurate tracking of the reference control signal is realized based on the control error signal and the AHC control method; 2. the control signal adopts the air conditioner temperature set value Tset and adopts a broadcasting mode to send the control signal, so that the communication cost is saved. 3. And the control parameters are optimized by adopting a genetic algorithm, so that the control effect is improved. In summary, the method and the device for regulating and controlling the air conditioner load cluster provided by the invention solve the problem of large controlled data volume by a method of closed-loop control and broadcasting control signals; and optimizing the control parameters through a second-order equivalent thermal parameter model. Thereby ensuring reliable and accurate response of a large amount of air conditioner loads.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and the relevant points can be referred to the partial description of the method embodiment.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Although the present application provides method steps as in an embodiment or a flowchart, more or fewer steps may be included based on conventional or non-inventive labor. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or client product executes, it may execute sequentially or in parallel (e.g., in the context of parallel processors or multi-threaded processing) according to the embodiments or methods shown in the figures.
Although embodiments of the present description provide method steps as described in embodiments or flowcharts, more or fewer steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or end product executes, it may execute sequentially or in parallel (e.g., parallel processors or multi-threaded environments, or even distributed data processing environments) according to the method shown in the embodiment or the figures. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded.
For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, in implementing the embodiments of the present description, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of multiple sub-modules or sub-units, and the like. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may therefore be considered as a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The embodiments of this specification may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The described embodiments may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of an embodiment of the specification. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
The above description is only an example of the embodiments of the present disclosure, and is not intended to limit the embodiments of the present disclosure. Various modifications and variations to the embodiments described herein will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present specification should be included in the scope of the claims of the embodiments of the present specification.
Claims (10)
1. A method for regulating and controlling an air conditioner load cluster is characterized by comprising the following steps:
generating a regulation and control power error according to the total power of the air conditioner load cluster and the pre-generated reference power of the air conditioner load cluster;
generating control parameters used in the air conditioner load cluster regulation process according to the regulation power error based on a second-order equivalent thermal parameter model;
and generating the target set temperature of the air conditioner load cluster according to the regulating power error and the control parameter.
2. The method for regulating and controlling according to claim 1, further comprising:
generating a baseline load power of the air conditioning load cluster according to historical power data of the air conditioning load cluster;
and generating reference power of the air conditioning load cluster according to the baseline load power and the target power regulating quantity of the power grid where the air conditioning load cluster is located.
3. The method according to claim 1, wherein the generating control parameters used in the air-conditioning load cluster regulation process according to the regulation power error based on the second-order equivalent thermal parameter model comprises:
generating a regulation power error curve based on the second-order equivalent thermal parameter model;
calculating the fitness of the regulation power error according to the regulation power error curve;
and generating the control parameters by using a cross and variation method according to the fitness.
4. The method for regulating and controlling according to claim 1, further comprising: and transmitting the target set temperature to each air conditioner in the air conditioner load cluster in a broadcasting mode.
5. A regulation and control device of an air conditioner load cluster is characterized by comprising:
the error generating unit is used for generating a regulation and control power error according to the total power of the air conditioner load cluster and the pre-generated reference power of the air conditioner load cluster;
the parameter generation unit is used for generating control parameters used in the air conditioner load cluster regulation and control process according to the regulation and control power error based on a second-order equivalent thermal parameter model;
and the temperature generating unit is used for generating the target set temperature of the air conditioner load cluster according to the regulation power error and the control parameter.
6. The regulatory device of claim 5, further comprising:
the load power generation unit is used for generating baseline load power of the air conditioner load cluster according to historical power data of the air conditioner load cluster;
and the reference power generation unit is used for generating the reference power of the air conditioner load cluster according to the baseline load power and the target power regulation quantity of the power grid where the air conditioner load cluster is located.
7. The control device according to claim 5, wherein the parameter generating unit comprises:
the curve generation module is used for generating a regulation power error curve based on the second-order equivalent thermal parameter model;
the fitness calculating module is used for calculating the fitness of the regulation power error according to the regulation power error curve;
and the control parameter generating module is used for generating the control parameters by using a crossing and variation method according to the fitness.
8. The regulatory device of claim 5, further comprising: and the broadcasting unit is used for sending the target set temperature to each air conditioner in the air conditioner load cluster in a broadcasting mode.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the processor implements the steps of the method for controlling an air conditioning load cluster according to any one of claims 1 to 4 when executing the program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for regulating and controlling a load cluster of air conditioners of any one of claims 1 to 4.
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| CN201910976366.5A CN110686380A (en) | 2019-10-15 | 2019-10-15 | Method and device for regulating and controlling air conditioner load cluster |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111486573A (en) * | 2020-04-16 | 2020-08-04 | 南方电网科学研究院有限责任公司 | Central air conditioner cluster regulation and control method, system and equipment |
| CN113218055A (en) * | 2020-05-29 | 2021-08-06 | 国网河北省电力有限公司 | Air conditioner load regulation and control method and device and terminal equipment |
| CN113219930A (en) * | 2021-05-21 | 2021-08-06 | 上海交通大学 | Variable frequency air conditioner second-order equivalent thermal parameter model online identification method based on particle swarm optimization |
-
2019
- 2019-10-15 CN CN201910976366.5A patent/CN110686380A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111486573A (en) * | 2020-04-16 | 2020-08-04 | 南方电网科学研究院有限责任公司 | Central air conditioner cluster regulation and control method, system and equipment |
| CN111486573B (en) * | 2020-04-16 | 2021-09-14 | 南方电网科学研究院有限责任公司 | Central air conditioner cluster regulation and control method, system and equipment |
| CN113218055A (en) * | 2020-05-29 | 2021-08-06 | 国网河北省电力有限公司 | Air conditioner load regulation and control method and device and terminal equipment |
| CN113218055B (en) * | 2020-05-29 | 2022-06-07 | 国网河北省电力有限公司 | Air conditioner load regulation and control method and device and terminal equipment |
| CN113219930A (en) * | 2021-05-21 | 2021-08-06 | 上海交通大学 | Variable frequency air conditioner second-order equivalent thermal parameter model online identification method based on particle swarm optimization |
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