CN116360294A - Simulation method and device based on active power distribution network - Google Patents
Simulation method and device based on active power distribution network Download PDFInfo
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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
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
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- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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- H—ELECTRICITY
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- 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
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Abstract
The invention provides a simulation method and device based on an active power distribution network. The simulation method based on the active power distribution network comprises the following steps: sequentially connecting a distributed power supply simulator, a grid-connected inverter controlled by the distributed power supply simulator and a power topology model to obtain a digital simulation calculation model; simulating by using a digital simulation calculation model to obtain the operation parameters of the active power distribution network; inputting the operation parameters of the active power distribution network into an active power distribution network control model created based on the historical power distribution network parameters to obtain current active power distribution network control parameters; and correcting simulation parameters in the power topology model according to the current active power distribution network control parameters. The invention can perform real-time simulation analysis and improve the authenticity and simulation scale of the simulation modeling of the active power distribution network.
Description
Technical Field
The invention relates to the field of power grid simulation, in particular to a simulation method and device based on an active power distribution network.
Background
In the large background of the novel power system, more and more renewable energy sources are connected into the power distribution network. The interfaces of wind power, photovoltaic, energy storage, hydrogen fuel cells and the like and a power grid often need a power electronic inverter, the power electronic inverter needs to be designed and researched in a targeted way according to a control strategy and algorithm of the current scene, the adopted means are often developed based on real-time simulation software such as RTDS (real time digital simulation system, real-time digital simulation system), RT-lab and the like, then the control strategy is copied into a controller, and then multiple real tests are needed to be performed again and again for many times, so that the research and development period is longer. The industry currently adopts a rapid prototype controller to verify the adaptability of a control algorithm and a protection device, but cannot verify the influence of a distributed power supply which is currently connected with a network on a global protection device of a power distribution network.
In addition, the simulation theory based on the active power distribution network verifies the real data of the power distribution network topology, such as protection parameters of transformer substation outlets, protection parameters and load parameters of lines and the like. Each power distribution network has a large amount of data, and huge modeling workload is brought to power grid operation and maintenance personnel if more power distribution networks need to be analyzed. Current real-time simulation software such as RTDS and RT-lab cannot directly generate topology connection according to a plurality of parameters of the power distribution network, and cannot perform real-time simulation analysis.
Disclosure of Invention
The embodiment of the invention mainly aims to provide a simulation method and device based on an active power distribution network, so as to perform real-time simulation analysis and improve the reality and simulation scale of the simulation modeling of the active power distribution network.
In order to achieve the above object, an embodiment of the present invention provides a simulation method based on an active power distribution network, including:
sequentially connecting a distributed power supply simulator, a grid-connected inverter controlled by the distributed power supply simulator and a power topology model to obtain a digital simulation calculation model;
simulating by using a digital simulation calculation model to obtain the operation parameters of the active power distribution network;
inputting the operation parameters of the active power distribution network into an active power distribution network control model created based on the historical power distribution network parameters to obtain current active power distribution network control parameters;
and correcting simulation parameters in the power topology model according to the current active power distribution network control parameters.
In one embodiment, modifying the simulation parameters in the power topology model according to the current active power distribution network control parameters includes:
determining a threshold range according to the average value and standard deviation of the control parameters of the historical active power distribution network;
and correcting simulation parameters in the power topology model according to a comparison result of the current active power distribution network control parameters and the threshold range.
In one embodiment, the step of creating an active distribution network control model based on historical distribution network parameters includes:
dividing the historical power distribution network parameters into a training set and a verification set;
training a preset initial active power distribution network control model according to a training set to obtain a plurality of active power distribution network training models;
and verifying the plurality of active power distribution network training models according to the verification set, and selecting an active power distribution network control model from the plurality of active power distribution network training models according to the verification result of each active power distribution network training model.
In one embodiment, the method further comprises:
acquiring line parameters of an active power distribution network;
carrying out graphical conversion on the active power distribution network line parameters to obtain a power topology file;
and placing the power topology file into a digital simulation computing core to obtain a power topology model.
The embodiment of the invention also provides a simulation device based on the active power distribution network, which comprises:
the model connection module is used for sequentially connecting the distributed power supply simulator, the grid-connected inverter controlled by the distributed power supply simulator and the power topology model to obtain a digital simulation calculation model;
the simulation module is used for simulating by using the digital simulation calculation model to obtain the operation parameters of the active power distribution network;
the control parameter module is used for inputting the operation parameters of the active power distribution network into an active power distribution network control model created based on the historical power distribution network parameters to obtain the current active power distribution network control parameters;
and the parameter correction module is used for correcting simulation parameters in the power topology model according to the current active power distribution network control parameters.
In one embodiment, the parameter modification module includes:
the abnormal threshold value unit is used for determining a threshold value range according to the average value and standard deviation of the control parameters of the historical active power distribution network;
and the parameter correction unit is used for correcting the simulation parameters in the power topology model according to the comparison result of the current active power distribution network control parameters and the threshold range.
In one embodiment, the method further comprises: an active power distribution network control model creation module for:
dividing the historical power distribution network parameters into a training set and a verification set;
training a preset initial active power distribution network control model according to a training set to obtain a plurality of active power distribution network training models;
and verifying a plurality of active power distribution network training models according to the verification set, and selecting an active power distribution network control model from the plurality of active power distribution network training models according to the verification result of each active power distribution network training model.
In one embodiment, the method further comprises:
the parameter acquisition module is used for acquiring the line parameters of the active power distribution network;
the imaging conversion module is used for carrying out imaging conversion on the line parameters of the active power distribution network to obtain a power topology file;
and the power topology model module is used for placing the power topology file into the digital simulation computing core to obtain a power topology model.
The embodiment of the invention also provides electronic equipment, which comprises a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor realizes the steps of the simulation method based on the active power distribution network when executing the computer program.
The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, which when being executed by a processor, realizes the steps of the simulation method based on the active power distribution network.
According to the simulation method and device based on the active power distribution network, the distributed power supply simulator, the grid-connected inverter and the power topology model are sequentially connected to obtain the digital simulation calculation model, and then the operation parameters obtained through simulation are input into the control model to obtain the control parameters so as to correct the simulation parameters in the power topology model, so that real-time simulation analysis can be performed, and the reality and simulation scale of the simulation modeling of the active power distribution network are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an active power distribution network-based simulation method in accordance with an embodiment of the present invention;
FIG. 2 is a flow chart of an active power distribution network based simulation method in an embodiment of the invention;
FIG. 3 is a flow chart of obtaining a power topology model in an embodiment of the invention;
FIG. 4 is a flow chart of creating an active power distribution network control model in an embodiment of the invention;
FIG. 5 is a graph of a model training loss function in an embodiment of the invention;
FIG. 6 is a graph of a model verification loss function in an embodiment of the invention;
FIG. 7 is a schematic diagram of overall verification accuracy of a verification set in an embodiment of the invention;
FIG. 8 is a block diagram of an active power distribution network based simulation device in accordance with an embodiment of the present invention;
fig. 9 is a schematic block diagram of a system configuration of an electronic device 9600 of an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Those skilled in the art will appreciate that embodiments of the invention may be implemented as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the following forms, namely: complete hardware, complete software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
In view of the fact that the prior art cannot verify the influence of the current grid-connected distributed power supply on the global protection device of the power distribution network and cannot perform real-time simulation analysis, the embodiment of the invention provides a simulation method based on an active power distribution network, a carrier is a software and hardware platform based on a computer, real-time simulation analysis can be performed, and the authenticity and simulation scale of simulation modeling of the active power distribution network are improved. The achievement formed by the invention can be oriented to the fields of planning, operation, scientific research and the like. The present invention will be described in detail with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of a simulation method based on an active distribution network in an embodiment of the present invention. As shown in fig. 1, the present invention includes the following parts:
a first part: the tabular power distribution network parameters, namely the active power distribution network topology card information, can be rapidly generated into a graphical model through a graphical conversion function module, and can greatly save manpower and time; the invention develops a graphic conversion function module and a butt joint port of the graphic conversion function module with active power distribution network card information and a real-time digital simulation calculation core, and the generated dft format file (power topology file) can be used for calculation of the real-time digital simulation calculation core.
A second part: and developing a control strategy and a protection strategy of the power electronic inverter model of the distributed power modeling by a rapid prototype controller, and downloading the control strategy of the distributed power to a 'distributed power real-time simulator' by one key. At this time, the distributed power supply real-time simulator is equivalent to a controller of a real wind power, photovoltaic and energy storage system. On a 'real-time digital simulation calculation core', a primary model of a wind power, photovoltaic and energy storage system is built, then a distributed power supply real-time simulator is connected with the 'real-time digital simulation calculation core' in an optical fiber communication mode, a specific electric primary connection is connected to one node of a graphical model, and the adaptability of a relay protection strategy of the power distribution network is verified through a control algorithm in the rapid prototype controller.
Third section: parameters such as node voltage, feeder line current and power of the active power distribution network accumulated in an active power distribution network simulation database are imported into an artificial intelligent big data platform, and certain operation parameters of the active power distribution network are optimized, such as whether the starting time and the operation time of a reactive power regulator of a 0.4kV low-voltage transformer area are associated with the output fluctuation of the distributed photovoltaic or not, and the like. The operation condition of the active power distribution network can be analyzed through the artificial intelligence big data platform, and particularly, different events with correlation are difficult to summarize.
Fig. 2 is a flow chart of an active power distribution network-based simulation method in an embodiment of the invention. As shown in fig. 2, the simulation method based on the active power distribution network includes:
s101: and sequentially connecting the distributed power supply simulator, the grid-connected inverter controlled by the distributed power supply simulator and the power topology model to obtain a digital simulation calculation model.
In the implementation, a distributed power supply simulator and a grid-connected inverter controlled by an RCP (distributed power supply simulator) are connected into a power topology model through optical fibers, an accessory board card and the like to perform active power distribution network joint simulation.
Before executing S101, further comprising:
and downloading the distributed power supply control strategy into the distributed power supply simulator.
In the specific implementation, configuration software (distributed power control strategy) is built in desktop PC end simulation software, so that a monitoring function is realized; the DIDO interface and the AIAO interface of the RCP (Rapid Control Prototype, rapid control prototyping) controller are connected with the real-time simulator, and the control algorithm model (distributed power control strategy) is downloaded into the RCP simulator (distributed power simulator).
FIG. 3 is a flow chart of obtaining a power topology model in an embodiment of the invention. As shown in fig. 3, before executing S101, the method further includes:
s201: and acquiring the line parameters of the active power distribution network.
The active power distribution network line parameters can comprise balance node parameters, PV node parameters, load node parameters, transformer parameters, feeder node parameters and the like.
S202: and carrying out graphical conversion on the active power distribution network line parameters to obtain a power topology file.
S203: and placing the power topology file into a digital simulation computing core to obtain a power topology model.
S102: and simulating by using the digital simulation calculation model to obtain the operation parameters of the active power distribution network.
In specific implementation, the 'real-time digital simulation calculation core' in the digital simulation calculation model is utilized to calculate the currently formed real-time digital simulation calculation architecture. The electrical parameters (active power distribution network operation parameters such as voltage, current and the like) of the distributed photovoltaic and power distribution network connection points can be observed through oscilloscope controls in the configuration software. The data generated by the joint simulation can be stored and enter an active distribution network simulation database.
S103: and inputting the operation parameters of the active power distribution network into an active power distribution network control model created based on the historical power distribution network parameters to obtain the current active power distribution network control parameters.
Fig. 4 is a flow chart of creating an active distribution network control model in an embodiment of the invention. As shown in fig. 4, the step of creating an active distribution network control model based on historical distribution network parameters includes:
s301: the historical distribution network parameters are divided into a training set and a verification set.
In the implementation, a plurality of data pieces with a plurality of attributes are obtained from an active distribution network simulation database. Several attributes include "start-up time and run time of reactive power regulator of 0.4kV low voltage transformer area" and whether there is a certain correlation with "distributed photovoltaic output ripple", etc. And then cleaning the data, and removing abnormal points and bad points of the data. Data outliers include unreasonable sudden increases and decreases. Common data dead spots include: suddenly 0, nan, null, etc. The current link is provided with a special data outlier detection function, so that the data outlier can be detected and removed.
S302: and training a preset initial active power distribution network control model according to the training set to obtain a plurality of active power distribution network training models.
In practice, training functions may be defined and training started, including model training, verification, and printing of loss values, typically written as code segments implemented in loops.
for eval_x,eval_y in eval_loader:
outs＝model(eval_x)
loss＝loss_func(outs,eval_y)
eval_loss+＝loss
The model training included several rounds (epoch), with the example set to 20 rounds.
The process of total model training was printed as follows:
---------epoch:0,train_loss:0.729,eval_loss:0.773,eval_acc:0.734-------
---------epoch:1,train_loss:0.408,eval_loss:0.367,eval_acc:0.859-------
---------epoch:2,train_loss:0.307,eval_loss:0.431,eval_acc:0.828-------
---------epoch:3,train_loss:0.256,eval_loss:0.541,eval_acc:0.828-------
---------epoch:4,train_loss:0.270,eval_loss:0.404,eval_acc:0.922-------
---------epoch:5,train_loss:0.271,eval_loss:0.535,eval_acc:0.906-------
---------epoch:6,train_loss:0.245,eval_loss:0.584,eval_acc:0.906-------
---------epoch:7,train_loss:0.158,eval_loss:0.394,eval_acc:0.922-------
---------epoch:8,train_loss:0.100,eval_loss:0.446,eval_acc:0.938-------
---------epoch:9,train_loss:0.096,eval_loss:0.438,eval_acc:0.938-------
---------epoch:10,train_loss:0.094,eval_loss:0.414,eval_acc:0.938-------
---------epoch:11,train_loss:0.081,eval_loss:0.436,eval_acc:0.938-------
---------epoch:12,train_loss:0.057,eval_loss:0.444,eval_acc:0.938-------
---------epoch:13,train_loss:0.068,eval_loss:0.580,eval_acc:0.922-------
---------epoch:14,train_loss:0.073,eval_loss:0.479,eval_acc:0.938-------
---------epoch:15,train_loss:0.053,eval_loss:0.507,eval_acc:0.938-------
---------epoch:16,train_loss:0.031,eval_loss:0.545,eval_acc:0.938-------
---------epoch:17,train_loss:0.031,eval_loss:0.511,eval_acc:0.953-------
---------epoch:18,train_loss:0.039,eval_loss:0.436,eval_acc:0.938-------
---------epoch:19,train_loss:0.049,eval_loss:0.508,eval_acc:0.906-------
s303: and verifying the plurality of active power distribution network training models according to the verification set, and selecting an active power distribution network control model from the plurality of active power distribution network training models according to the verification result of each active power distribution network training model.
FIG. 5 is a graph of model training loss functions in an embodiment of the invention. FIG. 6 is a graph of model verification loss functions in an embodiment of the invention. FIG. 7 is a schematic diagram of overall verification accuracy of a verification set in an embodiment of the invention. 5-7, drawing a loss function curve, wherein the ordinate comprises a falling curve of a loss value in the training process of training set data, namely a model training loss function train_loss; the falling curve of the loss value in the verification set data training process is the model verification loss function eval_loss; the overall verification accuracy of the verification set is eval_acc. It can be seen that the accuracy is highest at round 17, and the model obtained by training round 17 can be selected. And after training is completed, the obtained network model weight parameters are stored.
S104: and correcting simulation parameters in the power topology model according to the current active power distribution network control parameters.
In one embodiment, S104 includes: and determining a threshold range according to the average value and the standard deviation of the historical active power distribution network control parameters, and correcting simulation parameters in the power topology model according to the comparison result of the current active power distribution network control parameters and the threshold range.
In specific implementation, the threshold range (mu-3σ to mu+3σ, μ is the average value and σ is the standard deviation) can be determined according to the average value and the standard deviation which is 3 times, so that the simulation parameters in the power topology model are corrected by the current active power distribution network control parameters exceeding the threshold range.
The simulation method based on the active power distribution network shown in fig. 1 may be executed by a computer. As can be seen from the flow shown in fig. 1, the simulation method based on the active power distribution network in the embodiment of the invention sequentially connects the distributed power supply simulator, the grid-connected inverter and the power topology model to obtain a digital simulation calculation model, and then inputs the operation parameters obtained by simulation into the control model to obtain the control parameters so as to correct the simulation parameters in the power topology model, so that the graphic transformation technology, the control strategy rapid prototyping test and the artificial intelligence big data technology of the active power distribution network can be combined, the data penetration, the joint simulation and the large-scale implementation are realized through the real-time digital simulation calculation core, and the reality and the simulation scale of the simulation modeling of the active power distribution network are greatly improved.
Based on the same inventive concept, the embodiment of the invention also provides a simulation device based on the active power distribution network, and because the principle of the device for solving the problems is similar to that of the simulation method based on the active power distribution network, the implementation of the device can be referred to the implementation of the method, and the repetition is omitted.
Fig. 8 is a block diagram of a simulation apparatus based on an active power distribution network in an embodiment of the present invention. As shown in fig. 8, the simulation apparatus based on the active power distribution network includes:
the model connection module is used for sequentially connecting the distributed power supply simulator, the grid-connected inverter controlled by the distributed power supply simulator and the power topology model to obtain a digital simulation calculation model;
the simulation module is used for simulating by using the digital simulation calculation model to obtain the operation parameters of the active power distribution network;
the control parameter module is used for inputting the operation parameters of the active power distribution network into an active power distribution network control model created based on the historical power distribution network parameters to obtain the current active power distribution network control parameters;
and the parameter correction module is used for correcting simulation parameters in the power topology model according to the current active power distribution network control parameters.
In one embodiment, the parameter modification module includes:
the abnormal threshold value unit is used for determining a threshold value range according to the average value and standard deviation of the control parameters of the historical active power distribution network;
and the parameter correction unit is used for correcting the simulation parameters in the power topology model according to the comparison result of the current active power distribution network control parameters and the threshold range.
In one embodiment, the method further comprises: an active power distribution network control model creation module for:
dividing the historical power distribution network parameters into a training set and a verification set;
training a preset initial active power distribution network control model according to a training set to obtain a plurality of active power distribution network training models;
and verifying a plurality of active power distribution network training models according to the verification set, and selecting an active power distribution network control model from the plurality of active power distribution network training models according to the verification result of each active power distribution network training model.
In one embodiment, the method further comprises:
the parameter acquisition module is used for acquiring the line parameters of the active power distribution network;
the imaging conversion module is used for carrying out imaging conversion on the line parameters of the active power distribution network to obtain a power topology file;
and the power topology model module is used for placing the power topology file into the digital simulation computing core to obtain a power topology model.
According to the simulation device based on the active power distribution network, the distributed power supply simulator, the grid-connected inverter and the power topology model are sequentially connected to obtain the digital simulation calculation model, and then the operation parameters obtained through simulation are input into the control model to obtain the control parameters so as to correct the simulation parameters in the power topology model, so that real-time simulation analysis can be performed, and the reality and simulation scale of the simulation modeling of the active power distribution network are improved.
Fig. 9 is a schematic block diagram of a system configuration of an electronic device 9600 of an embodiment of the present application. As shown in fig. 9, the electronic device 9600 may include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. Notably, this fig. 9 is exemplary; other types of structures may also be used in addition to or in place of the structures to implement telecommunications functions or other functions.
In one embodiment, the active power distribution network based simulation method functionality may be integrated into the central processor 9100. The central processor 9100 may be configured to perform the following control:
sequentially connecting a distributed power supply simulator, a grid-connected inverter controlled by the distributed power supply simulator and a power topology model to obtain a digital simulation calculation model;
simulating by using a digital simulation calculation model to obtain the operation parameters of the active power distribution network;
inputting the operation parameters of the active power distribution network into an active power distribution network control model created based on the historical power distribution network parameters to obtain current active power distribution network control parameters;
and correcting simulation parameters in the power topology model according to the current active power distribution network control parameters.
From the above description, the simulation method based on the active power distribution network provided by the application is sequentially connected with the distributed power supply simulator, the grid-connected inverter and the power topology model to obtain a digital simulation calculation model, and then the operation parameters obtained by simulation are input into the control model to obtain control parameters so as to correct the simulation parameters in the power topology model, so that real-time simulation analysis can be performed, and the reality and simulation scale of the simulation modeling of the active power distribution network are improved.
In another embodiment, the active power distribution network-based simulation device may be configured separately from the central processor 9100, for example, the active power distribution network-based simulation device may be configured as a chip connected to the central processor 9100, and the function of the active power distribution network-based simulation method is implemented by control of the central processor.
As shown in fig. 9, the electronic device 9600 may further include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is noted that the electronic device 9600 need not include all of the components shown in fig. 9; in addition, the electronic device 9600 may further include components not shown in fig. 9, and reference may be made to the related art.
As shown in fig. 9, the central processor 9100, sometimes referred to as a controller or operational control, may include a microprocessor or other processor device and/or logic device, which central processor 9100 receives inputs and controls the operation of the various components of the electronic device 9600.
The memory 9140 may be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information about failure may be stored, and a program for executing the information may be stored. And the central processor 9100 can execute the program stored in the memory 9140 to realize information storage or processing, and the like.
The input unit 9120 provides input to the central processor 9100. The input unit 9120 is, for example, a key or a touch input device. The power supply 9170 is used to provide power to the electronic device 9600. The display 9160 is used for displaying display objects such as images and characters. The display may be, for example, but not limited to, an LCD display.
The memory 9140 may be a solid state memory such as Read Only Memory (ROM), random Access Memory (RAM), SIM card, etc. But also a memory which holds information even when powered down, can be selectively erased and provided with further data, an example of which is sometimes referred to as EPROM or the like. The memory 9140 may also be some other type of device. The memory 9140 includes a buffer 9141 (sometimes referred to as a buffer memory). The memory 9140 may include an application/function storage portion 9142, the application/function storage portion 9142 storing application programs and function programs or a flow for executing operations of the electronic device 9600 by the central processor 9100.
The memory 9140 may also include a data store 9143, the data store 9143 for storing data, such as contacts, digital data, pictures, sounds, and/or any other data used by an electronic device. The driver storage portion 9144 of the memory 9140 may include various drivers of the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging applications, address book applications, etc.).
The communication module 9110 is a transmitter/receiver 9110 that transmits and receives signals via an antenna 9111. A communication module (transmitter/receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, as in the case of conventional mobile communication terminals.
Based on different communication technologies, a plurality of communication modules 9110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, etc., may be provided in the same electronic device. The communication module (transmitter/receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide audio output via the speaker 9131 and to receive audio input from the microphone 9132 to implement usual telecommunications functions. The audio processor 9130 can include any suitable buffers, decoders, amplifiers and so forth. In addition, the audio processor 9130 is also coupled to the central processor 9100 so that sound can be recorded locally through the microphone 9132 and sound stored locally can be played through the speaker 9131.
The embodiment of the present invention further provides a computer readable storage medium capable of implementing all the steps in the active power distribution network based simulation method in which the execution subject in the above embodiment is a server or a client, where the computer readable storage medium stores a computer program, and when the computer program is executed by a processor, the computer program implements all the steps in the active power distribution network based simulation method in the above embodiment, for example, the processor implements the following steps when executing the computer program:
sequentially connecting a distributed power supply simulator, a grid-connected inverter controlled by the distributed power supply simulator and a power topology model to obtain a digital simulation calculation model;
simulating by using a digital simulation calculation model to obtain the operation parameters of the active power distribution network;
inputting the operation parameters of the active power distribution network into an active power distribution network control model created based on the historical power distribution network parameters to obtain current active power distribution network control parameters;
and correcting simulation parameters in the power topology model according to the current active power distribution network control parameters.
In summary, the computer readable storage medium of the embodiment of the invention is sequentially connected with the distributed power supply simulator, the grid-connected inverter and the power topology model to obtain a digital simulation calculation model, and then the operation parameters obtained by simulation are input into the control model to obtain control parameters so as to correct simulation parameters in the power topology model, so that real-time simulation analysis can be performed, and the reality and simulation scale of the simulation modeling of the active power distribution network are improved.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for a hardware+program class embodiment, the description is relatively simple, as it is substantially similar to the method embodiment, as relevant see the partial description of the method embodiment.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can 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 are also possible or may be advantageous.
Although the present application provides method operational steps as described in the examples or flowcharts, more or fewer operational steps may be included based on conventional or non-inventive labor. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution. When implemented by an actual device or client product, the instructions may be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment) as shown in the embodiments or figures.
Although the present description provides method operational steps as described in the examples or flowcharts, more or fewer operational steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution. When implemented in an actual device or end product, the instructions may be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment, or even in a distributed data processing environment) as illustrated by the embodiments or by 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, it is not excluded that additional identical or equivalent elements may be present in a process, method, article, or apparatus that comprises a described element.
For convenience of description, the above devices are described as being functionally divided into various modules, respectively. Of course, when implementing the embodiments of the present disclosure, the functions of each module may be implemented in the same or multiple pieces of software and/or hardware, or a module that implements the same function may be implemented by multiple sub-modules or a combination of sub-units, or the like. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
Those skilled in the art will also appreciate that, in addition to implementing the controller in a pure computer readable program code, it is well possible to implement the same functionality by logically programming the method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Such a controller can be regarded as a hardware component, and means for implementing various functions included therein can also be regarded as a structure within the hardware component. Or even means for achieving the various functions may be regarded as either software modules implementing the methods or structures within hardware components.
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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
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 storage media for a computer 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 disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It will be appreciated by those skilled in the art that embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the present specification embodiments may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present description embodiments may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Embodiments in 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 embodiments of the specification 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.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments. In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means 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 the embodiments of the present specification. In this specification, schematic representations of the above terms are not necessarily directed 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, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
The foregoing is merely an example of an embodiment of the present disclosure and is not intended to limit the embodiment of the present disclosure. Various modifications and variations of the illustrative embodiments will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, or the like, which is within the spirit and principles 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. The simulation method based on the active power distribution network is characterized by comprising the following steps of:
sequentially connecting a distributed power supply simulator, a grid-connected inverter controlled by the distributed power supply simulator and a power topology model to obtain a digital simulation calculation model;
simulating by using the digital simulation calculation model to obtain the operation parameters of the active power distribution network;
inputting the operation parameters of the active power distribution network into an active power distribution network control model created based on historical power distribution network parameters to obtain current active power distribution network control parameters;
and correcting simulation parameters in the power topology model according to the current active power distribution network control parameters.
2. The active power distribution network-based simulation method of claim 1, wherein modifying the simulation parameters in the power topology model according to the current active power distribution network control parameters comprises:
determining a threshold range according to the average value and standard deviation of the control parameters of the historical active power distribution network;
and correcting simulation parameters in the power topology model according to a comparison result of the current active power distribution network control parameters and the threshold range.
3. The active power distribution network-based simulation method of claim 1, wherein the step of creating an active power distribution network control model based on historical power distribution network parameters comprises:
dividing the historical power distribution network parameters into a training set and a verification set;
training a preset initial active power distribution network control model according to the training set to obtain a plurality of active power distribution network training models;
and verifying the plurality of active power distribution network training models according to the verification set, and selecting an active power distribution network control model from the plurality of active power distribution network training models according to verification results of each active power distribution network training model.
4. The active power distribution network-based simulation method of claim 1, further comprising:
acquiring line parameters of an active power distribution network;
carrying out graphical conversion on the active power distribution network line parameters to obtain a power topology file;
and placing the power topology file into a digital simulation computing core to obtain the power topology model.
5. An active power distribution network-based simulation device, comprising:
the model connection module is used for sequentially connecting the distributed power supply simulator, the grid-connected inverter controlled by the distributed power supply simulator and the power topology model to obtain a digital simulation calculation model;
the simulation module is used for simulating by using the digital simulation calculation model to obtain the operation parameters of the active power distribution network;
the control parameter module is used for inputting the operation parameters of the active power distribution network into an active power distribution network control model created based on the historical power distribution network parameters to obtain current active power distribution network control parameters;
and the parameter correction module is used for correcting the simulation parameters in the power topology model according to the current active power distribution network control parameters.
6. The active power distribution network-based simulation apparatus of claim 5, wherein the parameter modification module comprises:
the abnormal threshold value unit is used for determining a threshold value range according to the average value and standard deviation of the control parameters of the historical active power distribution network;
and the parameter correction unit is used for correcting the simulation parameters in the power topology model according to the comparison result of the current active power distribution network control parameters and the threshold range.
7. The active power distribution network-based simulation apparatus of claim 5, further comprising: an active power distribution network control model creation module for:
dividing the historical power distribution network parameters into a training set and a verification set;
training a preset initial active power distribution network control model according to the training set to obtain a plurality of active power distribution network training models;
and verifying the plurality of active power distribution network training models according to the verification set, and selecting an active power distribution network control model from the plurality of active power distribution network training models according to verification results of each active power distribution network training model.
8. The active power distribution network-based simulation apparatus of claim 5, further comprising:
the parameter acquisition module is used for acquiring the line parameters of the active power distribution network;
the imaging conversion module is used for carrying out imaging conversion on the active power distribution network line parameters to obtain a power topology file;
and the power topology model module is used for placing the power topology file into a digital simulation computing core to obtain the power topology model.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and running on the processor, characterized in that the processor implements the steps of the active power distribution network based simulation method of any of claims 1 to 4 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the active power distribution network based simulation method of any of claims 1 to 4.
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| CN116702523A (en) * | 2023-08-08 | 2023-09-05 | 北京中电普华信息技术有限公司 | Simulation method for power resource regulation, electronic equipment and computer medium |
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| CN116702523A (en) * | 2023-08-08 | 2023-09-05 | 北京中电普华信息技术有限公司 | Simulation method for power resource regulation, electronic equipment and computer medium |
| CN116702523B (en) * | 2023-08-08 | 2023-10-27 | 北京中电普华信息技术有限公司 | Simulation method for power resource regulation, electronic equipment and computer medium |
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