CN115051416A - Data processing method, power generation method and device and cloud equipment - Google Patents
Data processing method, power generation method and device and cloud equipment Download PDFInfo
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- CN115051416A CN115051416A CN202210981602.4A CN202210981602A CN115051416A CN 115051416 A CN115051416 A CN 115051416A CN 202210981602 A CN202210981602 A CN 202210981602A CN 115051416 A CN115051416 A CN 115051416A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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Abstract
The application provides a data processing method, a power generation method, a device and cloud equipment, wherein the data processing method comprises the following steps: acquiring target electricity consumption sent by the power control equipment, wherein the target electricity consumption is predicted electricity quantity required by the electricity utilization equipment, the electricity utilization equipment is equipment for providing electricity by an electric power system, and the electric power system comprises a generator; inputting the target power consumption into a pre-trained electric quantity estimation model for analysis processing to obtain a first electric quantity of the generator; and under the condition that the first power generation amount does not meet the preset safe and feasible requirement of the power system, mapping the first power generation amount into a second power generation amount, and sending the second power generation amount to the power control equipment, wherein the second power generation amount is used for indicating the power generator to generate power based on the second power generation amount, and the second power generation amount meets the safe and feasible requirement. The method and the system can enable the generator to meet the safe and feasible requirements of the power system when generating according to the generated energy provided by the server.
Description
Technical Field
The application relates to the technical field of computers, in particular to a data processing method, a power generation device and cloud equipment.
Background
A power system typically includes a plurality of generators, each of which generates power to meet the power demand of a customer served by the circuit system. How to satisfy the power consumption requirements of users and the safety requirements of a power system is a problem which needs to be solved urgently.
At present, the power generation amount of each generator is determined by adopting an optimal power flow calculation mode when the power consumption demand is known. However, this method still has a problem in safety of the power system.
Disclosure of Invention
Aspects of the application provide a data processing method, a power generation device and cloud equipment, so as to solve the problem of safety when the power generation amount of a power generator is determined.
A first aspect of the embodiments of the present application provides a data processing method, which is applied to a server, and the data processing method includes: acquiring target electricity consumption sent by an electric power control device, wherein the target electricity consumption is the predicted electricity consumption required by electric equipment, the electric equipment is equipment for providing electric power for an electric power system, and the electric power system comprises a generator; inputting the target power consumption into a pre-trained electric quantity estimation model for analysis processing to obtain a first electric quantity of the generator; and under the condition that the first power generation amount does not meet the preset safe and feasible requirement of the power system, mapping the first power generation amount into a second power generation amount, and sending the second power generation amount to the power control equipment, wherein the second power generation amount is used for indicating the power generator to generate power based on the second power generation amount, and the second power generation amount meets the safe and feasible requirement.
A second aspect of the embodiments of the present application provides a power generation method applied to a power control device, including: the method comprises the steps that target electricity consumption is sent to a server to obtain electricity generation amount meeting a safety and feasibility requirement preset by an electric power system, the target electricity consumption is predicted electricity quantity required by electric equipment, the electric equipment is equipment for providing electric power for the electric power system, and the electric power system comprises a generator; and controlling the generator to generate electricity based on the generated energy.
In a third aspect of the embodiments of the present application, there is provided a power generation method applied to a power generation system, where the power generation method includes: the power generation system includes: the power generation method comprises the following steps: the method comprises the steps that target electricity consumption is sent to a server by an electric power control device, the target electricity consumption is predicted electricity quantity required by electric equipment, the electric equipment is equipment for providing electric power by an electric power system, and the electric power system comprises a generator; the server responds to the received target power consumption, inputs the target power consumption into a pre-trained power consumption estimation model for analysis processing, and obtains a first power generation amount of the generator; under the condition that the first power generation amount does not meet the preset safe and feasible requirement of the power system, mapping the first power generation amount into a second power generation amount, and sending the second power generation amount to the power control equipment, wherein the second power generation amount meets the safe and feasible requirement; the power control apparatus controls the generator to generate power based on the second power generation amount in response to receiving the second power generation amount; sending the first power generation amount to the power control equipment under the condition that the first power generation amount meets the safety and feasibility requirements preset by the power system; the power generation device controls the power generator to generate power based on the first power generation amount in response to receiving the first power generation amount.
A fourth aspect of the embodiments of the present application provides a data processing apparatus, which is applied to a server, and includes:
the power consumption control device comprises an acquisition module, a power consumption control module and a power consumption control module, wherein the acquisition module is used for acquiring target power consumption sent by the power control device, the target power consumption is predicted power consumption required by power consumption equipment, the power consumption equipment is equipment for providing power for a power system, and the power system comprises a generator;
the processing module is used for inputting the target power consumption into a pre-trained power estimation model for analysis processing to obtain a first power generation amount of the generator;
the mapping module is used for mapping the first power generation amount into a second power generation amount and sending the second power generation amount to the power control equipment under the condition that the first power generation amount does not meet the preset safe and feasible requirement of the power system, wherein the second power generation amount is used for indicating the power generator to generate power based on the second power generation amount, and the second power generation amount meets the safe and feasible requirement.
A fifth aspect of the embodiments of the present application provides a power generation apparatus, which is applied to a power control device, and includes:
the system comprises a sending module, a power utilization system and a control module, wherein the sending module is used for sending target power consumption to a server so as to obtain power generation amount meeting a safety and feasibility requirement preset by a power system, the target power consumption is predicted power consumption required by power utilization equipment, the power utilization equipment is equipment for providing power for the power system, and the power system comprises a generator;
and the control module is used for controlling the generator to generate electricity based on the generated energy.
A sixth aspect of the embodiments of the present application provides a power generation system, including: server and power control apparatus
The method comprises the steps that target electricity consumption is sent to a server by an electric power control device, the target electricity consumption is predicted electricity quantity required by electric equipment, the electric equipment is equipment for providing electric power by an electric power system, and the electric power system comprises a generator;
the server responds to the received target power consumption, inputs the target power consumption into a pre-trained power consumption estimation model for analysis processing, and obtains a first power generation amount of the generator;
under the condition that the first power generation amount does not meet the preset safe and feasible requirement of the power system, mapping the first power generation amount into a second power generation amount, and sending the second power generation amount to the power control equipment, wherein the second power generation amount meets the safe and feasible requirement; the power control apparatus controls the generator to generate power based on the second power generation amount in response to receiving the second power generation amount;
sending the first power generation amount to the power control equipment under the condition that the first power generation amount meets the safety and feasibility requirements preset by the power system; the power generation device controls the power generator to generate power based on the first power generation amount in response to receiving the first power generation amount.
A seventh aspect of the present embodiment provides a cloud device, including: a processor, a memory and a computer program stored on the memory and executable on the processor, the processor implementing the data processing method of the first aspect or the power generation method of the second aspect when executing the computer program.
An eighth aspect of embodiments of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, the computer-executable instructions are used to implement the data processing method of the first aspect or the power generation method of the second aspect.
A ninth aspect of embodiments of the present application provides a computer program product, including: a computer program, the computer program being stored in a readable storage medium, from which the computer program can be read by at least one processor of the electronic device, execution of the computer program by the at least one processor causing the electronic device to perform the data processing method of the first aspect or the power generation method of the second aspect.
The method is applied to a power generation scene of a power system, the target power consumption sent by power control equipment is obtained, the target power consumption is the predicted power consumption required by power utilization equipment, the power utilization equipment is equipment for providing power for the power system, and the power system comprises a generator; inputting the target power consumption into a pre-trained power consumption estimation model for analysis processing to obtain a first power generation quantity of the generator; and under the condition that the first power generation amount does not meet the preset safe and feasible requirement of the power system, mapping the first power generation amount into a second power generation amount, and sending the second power generation amount to the power control equipment, wherein the second power generation amount is used for indicating the power generator to generate power based on the second power generation amount, and the second power generation amount meets the safe and feasible requirement. The method and the device can improve the real-time calculation capacity of the optimal power flow, and enable the generated energy to meet the safe and feasible requirements of the power system.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is an application scenario diagram of a data processing method according to an exemplary embodiment of the present application;
FIG. 2 is a flowchart illustrating steps of a method for processing data according to an exemplary embodiment of the present application;
FIG. 3 is a schematic diagram of another predictive model provided by an exemplary embodiment of the present application trained to be online;
FIG. 4 is a flow chart illustrating steps of a method of generating power according to an exemplary embodiment of the present application;
FIG. 5 is a block diagram of a power generation system provided in an exemplary embodiment of the present application;
fig. 6 is a block diagram of a data processing apparatus according to an exemplary embodiment of the present application;
FIG. 7 is a block diagram of a power generation device according to an exemplary embodiment of the present disclosure;
fig. 8 is a schematic structural diagram of a cloud device according to an exemplary embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. 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 application.
In the related art, one of the methods is to calculate the optimal power flow based on a traditional optimization method, and obtain a final result by a traditional method for solving a nonlinear optimization model, but solving the nonlinear model is always a difficult problem, and a large amount of calculation time is consumed to solve a feasible solution, so that the traditional method for solving the alternating current optimal power flow cannot be applied to real-time scheduling of a power system. The other Method is to adopt DC3 (A Learning Method For Optimization With Hard Constraints) to combine With power flow calculation to realize optimal power flow calculation. According to the scheme, the safety feasible constraint of the power system is not considered in the process of determining the optimal power flow calculation, so that the safety of the power system cannot be ensured, and the feasibility of the power generation process of the power system cannot be ensured.
Based on the foregoing background, a data processing method provided in an embodiment of the present application includes: acquiring target electricity consumption sent by the power control equipment, wherein the target electricity consumption is predicted electricity quantity required by the electricity utilization equipment, the electricity utilization equipment is equipment for providing electricity by an electric power system, and the electric power system comprises a generator; inputting the target power consumption into a pre-trained electric quantity estimation model for analysis processing to obtain a first electric quantity of the generator; and under the condition that the first power generation amount does not meet the preset safe and feasible requirement of the power system, mapping the first power generation amount into a second power generation amount, and sending the second power generation amount to the power control equipment, wherein the second power generation amount is used for indicating the power generator to generate power based on the second power generation amount, and the second power generation amount meets the safe and feasible requirement. According to the method and the device, the first power generation quantity of the generator is obtained through the power quantity pre-estimation model, and the real-time calculation capacity of the optimal power flow can be improved. After the first power generation amount is obtained, the first power generation amount is judged according to the safe and feasible requirement, and therefore the finally obtained power generation amount for power generation meets the safe and feasible requirement of the power system.
In this embodiment, the entire data processing method may be implemented by a cloud computing system. In addition, the server of the data processing method can be a cloud server so as to run various electric quantity estimation models by virtue of the advantages of resources on the cloud; as opposed to the cloud, the data processing method may also be applied to a server device such as a conventional server or a server array, and is not limited herein.
In addition, the data processing method provided by the embodiment of the application is applied to a power generation scene of a power system. Referring to fig. 1, there is a power system including a plurality of generators (m 1 to m 5), a plurality of nodes (p 1 to p 14), and a line connecting the two nodes. The power system supplies power to the power utilization equipment of users in one area, and the safety of nodes and lines is guaranteed while the power generated by the plurality of generators can meet the power utilization requirement of the users in the area.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 2 is a flowchart illustrating steps of a data processing method according to an exemplary embodiment of the present application. As shown in fig. 2, the data processing method specifically includes the following steps:
s201, acquiring the target electricity consumption sent by the power control equipment.
The target power consumption is a predicted power consumption required by the power consumption equipment, and the power consumption equipment is an equipment which is provided with power by the power system.
Specifically, the target power usage is a total power usage of all the electrical devices served by the electrical power system over a future period of time. The target power consumption is a predicted value, and may be predicted according to the power consumption in the historical time period. For example, the power system is used to provide power to area a, and the target power usage may be the power usage of area a for the next hour.
In the embodiment of the present application, the target power consumption amount includes: active power and reactive power of the power system load. An electrical power system, as shown in fig. 1, includes a plurality of generators, which are mechanical devices that convert other energy sources into electrical energy.
Further, the power control device is a device that controls the power generation of the generator, and for example, the power control device may control the generator m1 to generate 1000W and the generator m2 to generate 2000W.
S202, inputting the target power consumption into a pre-trained power consumption estimation model for analysis processing to obtain a first power generation quantity of the generator.
In the embodiment of the application, the electric quantity estimation model is trained in advance, the first electric quantity corresponding to each generator can be obtained according to the target power consumption analysis, further, the data used for training the electric quantity estimation model is the corresponding data in the historical use process of the electric power system, and the trained electric quantity estimation model is also applied to the electric power system. The electric quantity estimation model may be a neural network model, such as a fully connected neural network (DNN), or may be another model, which is not limited herein.
In which, the power generated by the generator cannot be completely supplied to the electric equipment due to the problems of circuit loss and the like. Moreover, the power generation amount of each generator is not exactly the same due to the power generation cost and the limitation of the line. For example, the target power consumption is 1 ten thousand watts of active power and 5 kilowatts of reactive power. The generator m 1-m 5 is included, and the first power generation quantity of the generator m1 is active power of 3 kilowatts and reactive power of 1.2 kilowatts. The first power generation quantity of the generator m2 is active power of 2 kilowatts, and the reactive power of 1.3 kilowatts. The first power generation quantity of the generator m3 is active power of 1 kilowatt, and the reactive power of 0.2 kilowatt. The first power generation quantity of the generator m4 is active power 4 kilowatts, and the reactive power is 1.8 kilowatts. The first power generation quantity of the generator m5 is active power 4.5 kilowatts and reactive power 2 kilowatts.
In the embodiment of the application, the safety and feasibility requirements are considered in the training process of the electric quantity estimation model. However, due to the complexity of the power system, even if the trained electric quantity estimation model is used for analyzing to obtain the first electric quantity, the safety feasibility of the generator based on the first electric quantity during power generation cannot be ensured. Therefore, in the embodiment of the application, the safety feasibility of the first power generation amount is judged, and whether the first power generation amount meets the safety feasibility is determined, so that the safety of the power system during power generation is improved.
In an alternative embodiment, the power system further comprises: a plurality of nodes. Further comprising: determining a first power value of the node according to the connection relation between the node and the generator and the first power generation amount; in case the first power value does not meet the safety feasibility requirement, it is determined that the first power generation amount does not meet the safety feasibility requirement.
Specifically, the nodes of the power system are classified into three classes, a balanced node, a PV node, and a PQ node, where the balanced node is a given node of voltage magnitude V and voltage phase angle value Ɵ. The PV node refers to the node where the active power P and the voltage magnitude V are given. The PQ node is a node given by active power P and reactive power Q.
In an embodiment of the present application, the first power value comprises: active power P, reactive power Q, voltage magnitude V and voltage angle value Ɵ of the node.
Further, a first power value of the node is determined based on a power flow technique according to a connection relationship between the node and the motor and the first power generation amount.
Specifically, the voltage amplitude of all nodes is represented as
Wherein N represents the total number of nodes in the power system,V i representing the magnitude of the voltage at node i. The power flow calculation technology specifically refers to formula (1):
In the formula (1), the first and second groups,P i which represents the active power of the node i,Q i representing the reactive power of node i. Wherein the content of the first and second substances,V j representing the magnitude of the voltage at node j,G ij andB ij representing the line parameters of the line between node i to node j. Where the line parameters are known to be a constant for a given circuitry.
And represents the difference between the voltage phase angle value at node i and the voltage phase angle value at node j.
Further, according to the circuit principle, for any node, the input power and the output power are equal, and then the power balance formula (2) is obtained, specifically as follows:
In the formula (2), the first and second groups,P d representing the active power of the load at node i,Q d representing the reactive power of the node i load.
Active power for the generator connected to node i (the first amount of power generation comprising active power)
），
For generators connected at node iOf (the first amount of power generation comprises reactive power)
）。
The first power generation amount is determined by S202, and the first power value of each node can be obtained by combining equation (1) and equation (2).
Further, the safety feasible requirement of each node is preset, and the nodes can work normally within the safety feasible requirement. In particular, the active power at node iP i Reactive powerQ i Amplitude of voltageV i And voltage phase angle value
When the requirement of the following formula (3) is satisfied, the first power value is determined to satisfy the safe and feasible requirement, that is, the first power generation amount satisfies the safe and feasible requirement.
In the formula (3), the first and second groups,
to
Represents the safe range of the active power of node i,
to
Represents the safe feasible range of reactive power for node i,
to
Representing a safe feasible range of voltage amplitudes at node i,
to
Representing a safe feasible range of voltage phase angle values for node i.
And if any one of the active power P, the reactive power Q, the voltage amplitude V and the voltage angle value Ɵ of the node does not meet the safe feasible range, determining that the first power value does not meet the safe feasible range.
In an optional embodiment, the power system further comprises: the data processing method further includes: determining a second power value of the line according to the connection relation between the node and the line and the first power value; in case the second power value does not meet the safety feasibility requirement, it is determined that the first power generation amount does not meet the safety feasibility requirement.
In particular, the second power value comprises the active power of the line, wherein the active power of the line is calculated with reference to formula (4):
Wherein the content of the first and second substances,
representing the active power of the line between node i to node j. And if the active power value is larger than the maximum bearable active power value of the line, determining that the line does not meet the safe and feasible requirement, further determining that the first power generation quantity does not meet the safe and feasible requirement, and otherwise, determining that the line meets the safe and feasible requirement.
Further, in the embodiment of the present application, when each node and each line both satisfy the safe and feasible requirement, it is determined that the first power generation amount satisfies the safe and feasible requirement, otherwise, it is determined that the first power generation amount does not satisfy the safe and feasible requirement.
In the embodiment of the application, the safety of the power system can be ensured with higher quality by detecting the safety feasible requirements of each node and each line in the power system.
And S203, under the condition that the first power generation amount does not meet the preset safe and feasible requirement of the power system, mapping the first power generation amount into a second power generation amount, and sending the second power generation amount to the power control equipment.
And the second power generation amount is used for indicating the power generator to generate power based on the second power generation amount, and the second power generation amount meets the safe and feasible requirement. In the embodiment of the application, the second power generation amount meets the safe and feasible requirement, which means that when the generator generates power according to the second power generation amount, the power system can be ensured to be safe, and the requirement of the target power consumption of the electric equipment can also be met.
Further, the condition that the first power generation amount does not meet the preset safe and feasible requirement of the power system means that any one of the active power P, the reactive power Q, the voltage amplitude V and the voltage angle value Ɵ of any node does not meet the range of the formula (3), or the active power of the line is in the range of the formula (3)
If the value of the active power that can be borne by the line is greater than the maximum value of the active power that can be borne by the line, it can be determined that the first power generation amount does not meet the preset safe and feasible requirement of the power system.
In an alternative embodiment, mapping the first amount of power generation to the second amount of power generation comprises: determining a plurality of third power generations, wherein a third power value of the node meets the safe feasibility requirement at the third power generation; the third power generation amount, of the plurality of third power generation amounts, that has the smallest difference from the first power generation amount is determined as the second power generation amount.
The first power generation amount can be input into a preset mapping model, and then the second power generation amount can be output. The mapping model works on the principle that a plurality of third power generation quantities are determined, and the third power generation quantity with the minimum difference value with the first power generation quantity is determined as the second power generation quantity in the plurality of third power generation quantities. The specific mathematical model of the mapping model refers to equation (5) and equation (6):
In the formula (5), the first and second groups,
the matrix representing the first amount of power generated by each generator, e.g. 5 generators in fig. 1
Wherein, in the step (A),P 11 toP 15 Corresponding to the active power (first generation amount) of the generators m1 to m5,Q 11 toQ 15 The reactive power (first power generation amount) of the generators m1 to m5 correspond, respectively. Then
Matrices representing the third power generation of the individual generators, e.g.
Wherein, in the step (A),P 21 toP 25 Corresponding to the active power (third power generation) of the generators m1 to m5,Q 21 toQ 25 Corresponding to reactive powers (third power generation amounts) of the generators m1 to m5, respectively. In addition to this, the present invention is,
for coefficient matrix, in the embodiment of the present application
Indicates a difference between the third power generation amount and the first power generation amount,
a plurality may be obtained in which the difference C is determined to be the smallest
Is the second power generation amount.
Further, each third power generation amount also needs to satisfy the constraint of the formula (6), specifically as follows:
In the case of the formula (6),l1 to N are taken, wherein N represents the number of generators and b is a constant vector related to the load.
Is a constant matrix related to the generator position. L is l Is a matrix of constants associated with the power system.
Is a matrix representing the third amount of power generation of each generator.vIndicating the third power generation amount
Next, the power values of each node and/or line are a matrix.mTaking the number of the carbon atoms from 1 to N,
for safety and feasibility requirements, a constant associated with the power system,M m is a constant matrix. Wherein, in
When satisfied, corresponds to
Is a third power generation vector. Further, the air conditioner is provided with a fan,
representing the selection of the power value of a balanced node in a matrix v using k (a matrix of coefficients)The power value at the balancing node is h, which is a given voltage magnitude V and voltage angle value Ɵ.
In summary, the third power generation amount that will satisfy the formula (5) and the formula (6)
The second power generation amount is determined. The second generating capacity meets the constraints of the target power consumption, each node and each line, and the difference value between the second generating capacity and the first generating capacity is minimum, so that the feasibility of generating by the generator can be realized, and the generating capacity which is most consistent with the power system is provided.
In an optional embodiment, when the first power generation amount meets a preset safe and feasible requirement of the power system, the first power generation amount is sent to the power control device, and the first power generation amount is used for indicating the power generator to generate power based on the first power generation amount.
And if the first power generation quantity meets the preset safe and feasible requirement of the power system, inputting the first power generation quantity into the mapping model to obtain a second power generation quantity which is the same as the first power generation quantity.
In the embodiment of the application, under the condition that the first power generation amount does not meet the preset safe and feasible requirement of the power system, the first power generation amount is processed to obtain the second power generation amount meeting the safe and feasible requirement and is provided for the power control equipment, and under the condition that the first power generation amount meets the preset safe and feasible requirement of the power system, the first power generation amount is provided for the power control equipment. The power control equipment controls the generator to generate power by adopting the power generation amount provided by the server, and can ensure that the power system provides the power consumption equipment with the power consumption meeting the target power consumption requirement and ensures the safety of the power system.
Further, after mapping the first power generation amount to the second power generation amount, the method further includes: determining a first loss value of the first power generation amount relative to the second power generation amount according to a preset loss function; and adjusting the electric quantity estimation model by adopting the first loss value.
Specifically, the preset function may be, but is not limited to, KKT (hidden function of Karush-Kuhn-Tucker Conditions.) the first loss value is the reciprocal of the second power generation amount to the first power generation amount.
In the embodiment of the application, the electric quantity estimation model is adjusted by adopting the first loss value, so that the electric quantity estimation model can output the generated energy which meets the safe and feasible requirement when the target power consumption is input.
In another optional embodiment, after mapping the first power generation amount to the second power generation amount, the method further includes: receiving a fourth power generation amount transmitted by the power control apparatus, the fourth power generation amount being an actual power generation amount transmitted by the power control apparatus to control the generator; and determining a second loss value of the first power generation amount relative to the fourth power generation amount according to the preset loss function, and adjusting the power estimation model by adopting the second loss value.
In the actual use process, due to the complexity of the power system, a worker may not control the power generator to generate power by using the generated power quantity provided by the server, and according to the actual situation, fine adjustment is performed on the basis of the generated power quantity provided by the server so as to better meet the actual safe and feasible situation.
Referring to fig. 3, in the embodiment of the present application, the electric quantity prediction model, the load flow calculation, the safe and feasible judgment, and the mapping model may be packaged into a prediction model for offline training, the trained prediction model is used after being online, and the online prediction model inputs the target electric quantity and outputs the first electric quantity and the second electric quantity meeting the safe and feasible requirement.
In the training process of the prediction model, the parameters of the electric quantity estimation model are mainly trained, and the method specifically comprises the following steps: obtaining training samples, the training samples comprising: the method comprises the steps of sampling power consumption, inputting the sampling power consumption into an electric quantity estimation model to obtain first predicted electric generation, inputting the first predicted electric generation into a mapping model to output second predicted electric generation, calculating a loss value of the first predicted electric generation relative to the second predicted electric generation if the second predicted electric generation is different from the first predicted electric generation, adjusting the electric quantity estimation model by using the loss value, and finishing training of the electric quantity estimation model if the second predicted electric generation is the same as the first predicted electric generation.
In the embodiment of the application, the training electric quantity estimation model does not need a large amount of actual power generation and power consumption data, the training of the electric quantity estimation model can be completed only by setting the power consumption, and the training process is simple and convenient. The electric quantity estimation model obtained through training can quickly obtain the first electricity generation quantity, so that the requirements of real-time scheduling and quick response of the electric power system are met, and the subsequent processing of safe and feasible requirements can ensure the safety of the electric power system.
According to the embodiment of the application, the first power generation amount of the generator is obtained through the power estimation model, and the real-time calculation capacity of the optimal power flow can be improved. After the first power generation amount is obtained, the first power generation amount is judged according to the safe and feasible requirement, and therefore the finally obtained power generation amount for power generation meets the safe and feasible requirement of the power system.
FIG. 4 is a flow chart illustrating steps of a method for generating power according to an exemplary embodiment of the present application. As shown in fig. 4, the data processing method is applied to a power control device, and specifically includes the following steps:
and S401, sending the target electricity consumption amount to a server.
The target electricity consumption is the predicted electricity quantity required by the electricity utilization equipment, the electricity utilization equipment is the equipment which provides electricity for the electricity system, and the electricity system comprises a generator.
Referring to fig. 5, the power control apparatus transmits the acquired target power consumption amount to the server, and the server returns the power generation amount, which may be the first power generation amount or the second power generation amount satisfying the safety feasibility requirement, to the power control apparatus after processing. The power control apparatus controls a generator of the power system to generate power in accordance with the power generation amount transmitted by the server.
S402, controlling the generator to generate power based on the power generation amount.
In the embodiment of the application, the generated energy meeting the safe and feasible requirements can be obtained quickly and efficiently by interacting with the server, and the real-time performance and the quick response of the power system are realized.
In addition, an embodiment of the present application further provides a power generation method, which is applied to a power generation system, where the power generation system includes: the power generation method comprises the following steps: the method comprises the steps that target electricity consumption is sent to a server by an electric power control device, wherein the target electricity consumption is predicted electricity quantity required by an electric power utilization device, the electric power utilization device is a device which provides electric power for an electric power system, and the electric power system comprises a generator; the server responds to the received target power consumption, inputs the target power consumption into a pre-trained power consumption estimation model for analysis processing, and obtains a first power generation amount of the generator; under the condition that the first power generation amount does not meet the preset safe and feasible requirement of the power system, mapping the first power generation amount into a second power generation amount, and sending the second power generation amount to the power control equipment, wherein the second power generation amount meets the safe and feasible requirement; the power control apparatus controls the generator to generate power based on the second power generation amount in response to receiving the second power generation amount; sending the first power generation amount to the power control equipment under the condition that the first power generation amount meets the safety and feasibility requirements preset by the power system; the power generation device controls the power generator to generate power based on the first power generation amount in response to receiving the first power generation amount.
The specific working principle of the power generation system of the present application refers to the above embodiments, and is not described herein again.
The power generation system provided by the embodiment of the application is shown in fig. 5, the first power generation amount of the power generator is obtained through the power estimation model, and the real-time calculation capacity of the optimal power flow can be improved. After the first power generation amount is obtained, the first power generation amount is judged according to the safe and feasible requirement, and therefore the finally obtained power generation amount for power generation meets the safe and feasible requirement of the power system.
In the embodiment of the present application, referring to fig. 6, in addition to providing a data processing method, there is provided a data processing apparatus 60, the data processing apparatus 60 including:
the acquiring module 61 is configured to acquire a target power consumption sent by the power control device, where the target power consumption is a predicted power consumption required by a power consumption device, and the power consumption device is a device provided with power by a power system, and the power system includes a generator;
the processing module 62 is configured to input the target power consumption into a pre-trained power estimation model for analysis processing, so as to obtain a first power generation amount of the generator;
and the mapping module 63 is configured to map the first power generation amount into a second power generation amount when the first power generation amount does not meet a preset safe and feasible requirement of the power system, and send the second power generation amount to the power control device, where the second power generation amount is used to instruct the generator to generate power based on the second power generation amount, and the second power generation amount meets the safe and feasible requirement.
In an optional embodiment, the power system further comprises: a plurality of nodes connected to the generator, the data processing device 60 further includes a determining module (not shown) for determining a first power value of the node according to a connection relationship between the node and the generator and a first power generation amount; in case the first power value does not meet the safety feasibility requirement, it is determined that the first power generation amount does not meet the safety feasibility requirement.
In an alternative embodiment, the determining module (not shown) is specifically configured to determine the first power value of the node based on a power flow technique according to a connection relationship between the node and the electric machine and the first power generation amount.
In an optional embodiment, the power system further comprises: the determining module is further used for determining a second power value of the line according to the connection relation between the node and the line and the first power value; in case the second power value does not meet the safety feasibility requirement, it is determined that the first power generation amount does not meet the safety feasibility requirement.
In an alternative embodiment, the mapping module 63 is specifically configured to determine a plurality of third power generations, wherein the third power value of the node meets the safe feasibility requirement at the third power generations; the third power generation amount, of the plurality of third power generation amounts, that has the smallest difference from the first power generation amount is determined as the second power generation amount.
In an alternative embodiment, the data processing device 60 further comprises an adjustment module (not shown) for determining a first loss value of the first power generation amount relative to the second power generation amount according to a preset loss function; and adjusting the electric quantity estimation model by adopting the first loss value.
In an optional embodiment, the adjusting module is further configured to receive a fourth power generation amount sent by the power control device, where the fourth power generation amount is an actual power generation amount sent by the power control device to control the generator; and determining a second loss value of the first power generation amount relative to the fourth power generation amount according to the preset loss function, and adjusting the power estimation model by adopting the second loss value.
In an optional embodiment, the data processing apparatus 60 further includes a sending module (not shown) configured to send a first power generation amount to the power control device, where the first power generation amount meets a safety feasibility requirement preset by the power system, and the first power generation amount is used to instruct the power generator to generate power based on the first power generation amount.
The data processing device provided by the embodiment of the application obtains the first power generation amount of the generator through the power estimation model, and can improve the real-time calculation capacity of the optimal power flow. After the first power generation amount is obtained, the first power generation amount is judged according to the safe and feasible requirement, and therefore the finally obtained power generation amount for power generation meets the safe and feasible requirement of the power system.
In the embodiment of the present application, referring to fig. 7, there is also provided a power generation device 70, where the power generation device 70 includes:
the sending module 71 is configured to send a target power consumption to the server to obtain a power generation amount meeting a preset safe and feasible requirement of the power system, where the target power consumption is a predicted power consumption required by a power consumption device, the power consumption device is a device for providing power to the power system, and the power system includes a generator;
and a control module 72 for controlling the generator to generate electricity based on the amount of electricity generated.
The power generation device provided by the embodiment of the application can quickly and efficiently obtain the generated energy meeting the safe and feasible requirements, and realizes real-time performance and quick response of the power system
In addition, in some of the flows described in the above embodiments and the drawings, a plurality of operations are included in a certain order, but it should be clearly understood that the operations may be executed out of the order presented herein or in parallel, and only for distinguishing between different operations, and the sequence number itself does not represent any execution order. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.
Fig. 8 is a schematic structural diagram of a cloud device 80 according to an exemplary embodiment of the present disclosure. The cloud device 80 is used to operate the above-described data processing method or power generation method. As shown in fig. 8, the cloud apparatus includes: a memory 84 and a processor 85.
The memory 84 is used to store computer programs and may be configured to store various other information to support operations on the cloud device. The store 84 may be an Object Storage Service (OSS).
The memory 84 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
A processor 85 coupled to the memory 84 for executing computer programs in the memory 84 for: acquiring target electricity consumption sent by the power control equipment, wherein the target electricity consumption is predicted electricity quantity required by the electricity utilization equipment, the electricity utilization equipment is equipment for providing electricity by an electric power system, and the electric power system comprises a generator; inputting the target power consumption into a pre-trained electric quantity estimation model for analysis processing to obtain a first electric quantity of the generator; and under the condition that the first power generation amount does not meet the preset safe and feasible requirement of the power system, mapping the first power generation amount into a second power generation amount, and sending the second power generation amount to the power control equipment, wherein the second power generation amount is used for indicating the power generator to generate power based on the second power generation amount, and the second power generation amount meets the safe and feasible requirement.
Further optionally, the power system further comprises: the nodes are connected with the generator, and the processor 85 is specifically configured to map the first power generation amount to a second power generation amount before the first power generation amount does not meet a preset safe and feasible requirement of the power system: determining a first power value of the node according to the connection relation between the node and the generator and the first power generation amount; in case the first power value does not meet the safety feasibility requirement, it is determined that the first power generation amount does not meet the safety feasibility requirement.
Further optionally, the power system further comprises: the processor 85 is specifically configured to, when determining the first power value of the node according to the connection relationship between the node and the generator and the first power generation amount: and determining a first power value of the node based on the power flow technology according to the connection relation between the node and the motor and the first power generation amount.
Further optionally, the processor 85 is further configured to: determining a second power value of the line according to the connection relation between the node and the line and the first power value; in case the second power value does not meet the safety feasibility requirement, it is determined that the first power generation amount does not meet the safety feasibility requirement.
Further optionally, when mapping the first power generation amount to the second power generation amount, the processor 85 is specifically configured to: determining a plurality of third power generations, wherein a third power value of the node meets the safe feasibility requirement at the third power generation; the third power generation amount, of the plurality of third power generation amounts, that has the smallest difference from the first power generation amount is determined as the second power generation amount.
Further optionally, the processor 85, after mapping the first power generation amount to the second power generation amount, is further configured to: determining a first loss value of the first power generation amount relative to the second power generation amount according to a preset loss function; and adjusting the electric quantity estimation model by adopting the first loss value.
Further optionally, the processor 85 is further configured to, after mapping the first power generation amount to the second power generation amount: receiving a fourth power generation amount transmitted by the power control apparatus, the fourth power generation amount being an actual power generation amount transmitted by the power control apparatus to control the generator; and determining a second loss value of the first power generation amount relative to the fourth power generation amount according to the preset loss function, and adjusting the power estimation model by adopting the second loss value.
In an alternative embodiment, the processor 85 is further configured to: and under the condition that the first power generation amount meets the preset safe and feasible requirement of the power system, sending the first power generation amount to the power control equipment, wherein the first power generation amount is used for indicating the power generator to generate power based on the first power generation amount.
In an alternative embodiment, the processor 85, coupled to the memory 84, is configured to execute computer programs in the memory 84 for: the method comprises the steps that target electricity consumption is sent to a server to obtain electricity generation amount meeting a safety and feasibility requirement preset by an electric power system, the target electricity consumption is predicted electricity quantity required by electric equipment, the electric equipment is equipment for providing electric power for the electric power system, and the electric power system comprises a generator; and controlling the generator to generate power based on the generated power.
Further, as shown in fig. 8, the cloud device further includes: firewall 81, load balancer 82, communications component 86, power component 83, and other components. Only some of the components are schematically shown in fig. 8, and the cloud device is not meant to include only the components shown in fig. 8.
The cloud equipment provided by the embodiment of the application can obtain the compressed visual network model, and the compressed visual network model occupies a smaller memory and has higher calculation efficiency under the condition of not influencing the identification precision.
Accordingly, the present application also provides a computer readable storage medium storing a computer program, which when executed by a processor causes the processor to implement the steps of the above-mentioned method.
Accordingly, embodiments of the present application also provide a computer program product, which includes computer programs/instructions, when executed by a processor, cause the processor to implement the steps in the above-described illustrated method.
The communications component of fig. 8 described above is configured to facilitate communications between the device in which the communications component is located and other devices in a wired or wireless manner. The device where the communication component is located can access a wireless network based on a communication standard, such as a WiFi, a 2G, 3G, 4G/LTE, 5G and other mobile communication networks, or a combination thereof. In an exemplary embodiment, the communication component receives a broadcast signal or broadcast associated text from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared information association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
The power supply module of fig. 8 provides power to various components of the device in which the power supply module is located. The power components may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device in which the power component is located.
In the several embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, 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, systems or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It is obvious to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above functions may be distributed by different functional modules according to needs, that is, the internal structure of the system is divided into different functional modules to complete all or part of the above described functions. For the specific working process of the system described above, reference may be made to the corresponding process in the foregoing method embodiment, which is not described herein again.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (12)
1. A data processing method is applied to a server, and the data processing method comprises the following steps:
acquiring target electricity consumption sent by an electric power control device, wherein the target electricity consumption is predicted electricity quantity required by an electric power utilization device, the electric power utilization device is a device which provides electric power for an electric power system, and the electric power system comprises a generator;
inputting the target power consumption into a pre-trained power consumption estimation model for analysis processing to obtain a first power generation quantity of the generator;
and under the condition that the first power generation amount does not meet a preset safe and feasible requirement of the power system, mapping the first power generation amount into a second power generation amount, and sending the second power generation amount to the power control equipment, wherein the second power generation amount is used for indicating the power generator to generate power based on the second power generation amount, and the second power generation amount meets the safe and feasible requirement.
2. The data processing method of claim 1, wherein the power system further comprises: the nodes are connected with the generator, and before mapping the first power generation amount to a second power generation amount when the first power generation amount does not meet a preset safe and feasible requirement of a power system, the method further comprises the following steps:
determining a first power value of the node according to the connection relation between the node and the generator and the first power generation amount;
determining that the first amount of power generation does not meet the safety feasibility requirement if the first power value does not meet the safety feasibility requirement.
3. The data processing method according to claim 2, wherein the determining a first power value of the node according to the connection relationship between the node and the generator and the first power generation amount comprises:
and determining a first power value of the node based on a power flow technology according to the connection relation between the node and the motor and the first power generation amount.
4. The data processing method of claim 2, wherein the power system further comprises: a line connecting the nodes, the data processing method further comprising:
determining a second power value of the line according to the connection relationship between the node and the line and the first power value;
determining that the first amount of power generation does not meet the safety feasibility requirement if the second power value does not meet the safety feasibility requirement.
5. The data processing method according to any one of claims 2 to 4, wherein the mapping the first power generation amount to a second power generation amount includes:
determining a plurality of third power generations, wherein a third power value of the node at the third power generation meets the safe feasibility requirement;
determining a third power generation amount having a smallest difference from the first power generation amount as the second power generation amount among the plurality of third power generation amounts.
6. The data processing method according to any one of claims 1 to 4, wherein after mapping the first power generation amount to a second power generation amount, further comprising:
determining a first loss value of the first power generation amount relative to the second power generation amount according to a preset loss function;
and adjusting the electric quantity estimation model by adopting the first loss value.
7. The data processing method according to any one of claims 1 to 4, wherein after mapping the first power generation amount to a second power generation amount, further comprising:
receiving a fourth amount of power generation transmitted by a power control apparatus, the fourth amount of power generation being an actual amount of power generation transmitted by the power control apparatus to control a generator;
and determining a second loss value of the first power generation amount relative to the fourth power generation amount according to a preset loss function, and adjusting the power estimation model by adopting the second loss value.
8. The data processing method according to any one of claims 1 to 4, further comprising:
and sending the first power generation amount to the power control equipment under the condition that the first power generation amount meets a safety and feasibility requirement preset by the power system, wherein the first power generation amount is used for indicating the power generator to generate power based on the first power generation amount.
9. A method of generating power, for use in a power generation system, the power generation system comprising: a server and a power control apparatus, the power generation method comprising:
the power control equipment sends target power consumption to a server, wherein the target power consumption is the predicted power required by power utilization equipment, the power utilization equipment is equipment which is provided with power by a power system, and the power system comprises a generator;
the server responds to the received target power consumption, inputs the target power consumption into a pre-trained power consumption estimation model for analysis processing, and obtains a first power generation amount of the generator;
under the condition that the first power generation amount does not meet a safety feasible requirement preset by the power system, mapping the first power generation amount into a second power generation amount, and sending the second power generation amount to the power control equipment, wherein the second power generation amount meets the safety feasible requirement; the power control apparatus controls the generator to generate power based on the second power generation amount in response to receiving the second power generation amount;
sending the first power generation amount to the power control equipment under the condition that the first power generation amount meets a safety and feasibility requirement preset by the power system; the power generation device controls the power generator to generate power based on the first power generation amount in response to receiving the first power generation amount.
10. A data processing apparatus, applied to a server, the data processing apparatus comprising:
the power consumption control system comprises an acquisition module, a power consumption control module and a power consumption control module, wherein the acquisition module is used for acquiring target power consumption sent by power control equipment, the target power consumption is predicted power consumption required by power consumption equipment, the power consumption equipment is equipment for providing power by a power system, and the power system comprises a generator;
the processing module is used for inputting the target power consumption into a pre-trained electric quantity estimation model for analysis processing to obtain a first electric quantity of the generator;
the mapping module is used for mapping the first power generation amount into a second power generation amount and sending the second power generation amount to the power control equipment under the condition that the first power generation amount does not meet a preset safe and feasible requirement of the power system, wherein the second power generation amount is used for indicating the power generator to generate power based on the second power generation amount, and the second power generation amount meets the safe and feasible requirement.
11. A power generation system, characterized in that the power generation system comprises: server and power control apparatus
The power control equipment sends target power consumption to a server, wherein the target power consumption is the predicted power required by power utilization equipment, the power utilization equipment is equipment which is provided with power by a power system, and the power system comprises a generator;
the server responds to the received target power consumption, inputs the target power consumption into a pre-trained power consumption estimation model for analysis processing, and obtains a first power generation amount of the generator;
under the condition that the first power generation amount does not meet a safety feasible requirement preset by the power system, mapping the first power generation amount into a second power generation amount, and sending the second power generation amount to the power control equipment, wherein the second power generation amount meets the safety feasible requirement; the power control apparatus controls the generator to generate power based on the second power generation amount in response to receiving the second power generation amount;
sending the first power generation amount to the power control equipment under the condition that the first power generation amount meets a safety and feasibility requirement preset by the power system; the power generation device controls the power generator to generate power based on the first power generation amount in response to receiving the first power generation amount.
12. A cloud device, comprising: a processor, a memory and a computer program stored on the memory and executable on the processor, the processor implementing the data processing method of any one of claims 1 to 8 or the power generation method of claim 9 when executing the computer program.
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