CN117559532A - Modeling method and device for virtual synchronous power distribution network and control platform of modeling device - Google Patents
Modeling method and device for virtual synchronous power distribution network and control platform of modeling device 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
- 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
- H02J3/381—Dispersed generators
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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
- H02J3/48—Controlling the sharing of the in-phase component
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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
- H02J3/50—Controlling the sharing of the out-of-phase component
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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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- 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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
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Abstract
The invention discloses a modeling method and device for a virtual synchronous power distribution network and a control platform thereof. Wherein the method comprises the following steps: taking a power distribution network branch of a target power distribution network as an object, and equivalent the actual power distribution network branch into a power distribution network branch equivalent model with configurable parameters; checking the equivalent model of the power distribution network branch by comparing first operation data of branch merging points of the power distribution network branch by adjusting configurable parameters and controller parameters of the equivalent model of the power distribution network branch; after the verification of the power distribution network branch equivalent model is passed, establishing a power distribution network initial equivalent model with configurable parameters based on the power distribution network branch equivalent model; checking the initial equivalent model of the power distribution network by adjusting configurable parameters of the initial equivalent model of the power distribution network and comparing second operation data from the target power distribution network to a large power grid connection point, and taking the initial equivalent model of the power distribution network passing through the checking as a virtual synchronous equivalent model of the power distribution network of the target power distribution network. And the optimization of the cooperative control parameters of the source network is realized.
Description
Technical Field
The present invention relates to the field of virtual synchronous power distribution network technologies, and in particular, to a method and an apparatus for modeling a virtual synchronous power distribution network, and a control platform thereof.
Background
The county-area photovoltaic system has the characteristics of multipoint scattered access and high-permeability access, which means that a large number of distributed photovoltaic power stations are accessed into a power grid in an area range, and the capacity of the distributed photovoltaic power stations is high, so that the influence degree on the power grid is high.
The distributed photovoltaic clustered virtual synchronous power distribution network under high permeability is required to restrain frequency and transient power oscillation by controlling each distributed photovoltaic device in the virtual synchronous power distribution network, internal nodes of the power distribution network and external main nodes. Due to the high-permeability distribution network which is accessed in a multipoint scattered manner, the difference of the photovoltaic nodes in time scale and space range needs to be considered, and the optimization economic cost of the control parameters by a test method is high. Therefore, equivalent modeling is required for the source network and the virtual synchronous distribution network.
The photovoltaic power generation model in the common power system simulation software is built according to a detailed physical model, wherein the photovoltaic power generation model comprises a large number of complex modules and parameters. However, the model of the distributed device simulation is too complex, and optimization of the source network cooperative control parameters is difficult to achieve through the simulation model.
Disclosure of Invention
The invention provides a modeling method, a modeling device and a control platform of a virtual synchronous power distribution network, which are used for solving the technical problem that a simulation model of high-permeability distributed photovoltaic equipment is too complex, so that optimization of source network cooperative control parameters is difficult to realize through the simulation model.
According to an aspect of the present invention, there is provided a modeling method of a virtual synchronous power distribution network, the method including:
taking a power distribution network branch of a target power distribution network as an object, and equivalent the actual power distribution network branch to be a power distribution network branch equivalent model with configurable parameters, wherein the power distribution network branch equivalent model consists of a dominant photovoltaic inverter node, a distributed power flow controller node, a four-quadrant adjustable inverter node, an equivalent load node and power distribution network branch impedance;
checking the power distribution network branch equivalent model by adjusting the configurable parameters and the controller parameters of the power distribution network branch equivalent model and comparing the first operation data of the branch junction points of the power distribution network branch;
after the power distribution network branch equivalent model passes the verification, establishing a power distribution network initial equivalent model with configurable parameters based on the power distribution network branch equivalent model;
and checking the initial equivalent model of the power distribution network by adjusting configurable parameters of the initial equivalent model of the power distribution network and comparing second operation data of the connection point of the target power distribution network to the large power grid, and taking the initial equivalent model of the power distribution network passing the checking as a virtual synchronous equivalent model of the power distribution network of the target power distribution network.
According to another aspect of the present invention, there is provided a modeling apparatus of a virtual synchronous power distribution network, the apparatus comprising:
the branch model building module is used for taking a power distribution network branch of a target power distribution network as an object, taking the power distribution network branch as an object, and equivalent the actual power distribution network branch into a power distribution network branch equivalent model with configurable parameters, wherein the power distribution network branch equivalent model consists of a dominant photovoltaic inverter node, a distributed power flow controller node, a four-quadrant adjustable inverter node, an equivalent load node and power distribution network branch impedance;
the branch model checking module is used for checking the branch equivalent model of the power distribution network by adjusting the configurable parameters and the controller parameters of the branch equivalent model of the power distribution network and comparing the first operation data of the branch sink points of the branch of the power distribution network;
the power distribution network model building module is used for building an initial equivalent model of the power distribution network with configurable parameters based on the equivalent model of the power distribution network branch after the equivalent model of the power distribution network branch passes the check;
and the power distribution network model checking module is used for checking the power distribution network initial equivalent model by adjusting the configurable parameters of the power distribution network initial equivalent model and comparing the second operation data from the target power distribution network to the large power grid connection point, and taking the power distribution network initial equivalent model passing the checking as the power distribution network virtual synchronous equivalent model of the target power distribution network.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of modeling a virtual synchronous power distribution network according to any of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the modeling method of a virtual synchronous power distribution network according to any embodiment of the present invention when executed.
According to the technical scheme, the actual power distribution network branch is equivalent to a power distribution network branch equivalent model with configurable parameters, wherein the power distribution network branch is formed by leading photovoltaic inverter nodes, distributed power flow controller nodes, four-quadrant adjustable inverter nodes, equivalent load nodes and power distribution network branch impedance. Then checking the power distribution network branch equivalent model by adjusting the configurable parameters and the controller parameters of the power distribution network branch equivalent model and comparing the first operation data of the branch junction points of the power distribution network branch; after the power distribution network branch equivalent model passes the verification, establishing a power distribution network initial equivalent model with configurable parameters based on the power distribution network branch equivalent model; and checking the initial equivalent model of the power distribution network by adjusting configurable parameters of the initial equivalent model of the power distribution network and comparing second operation data of the connection point of the target power distribution network to the large power grid, and taking the initial equivalent model of the power distribution network passing the checking as a virtual synchronous equivalent model of the power distribution network of the target power distribution network. The method solves the technical problem that the simulation model of the high-permeability distributed photovoltaic equipment is too complex, so that optimization of the source network cooperative control parameters is difficult to realize through the simulation model. By constructing the high-permeability distributed photovoltaic power distribution network equivalent model, the beneficial effects of optimizing the source network cooperative control of the virtual synchronous power distribution network based on the model and further assisting the popularization and application of the photovoltaic are achieved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a modeling method of a virtual synchronous power distribution network according to a first embodiment of the present invention;
fig. 2 is a flowchart of a modeling method of a virtual synchronous power distribution network according to a second embodiment of the present invention;
fig. 3 is a flowchart of a modeling method of a virtual synchronous power distribution network according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a modeling apparatus for a virtual synchronous power distribution network according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of a virtual synchronous power distribution network control platform according to a fifth embodiment of the present invention;
Fig. 6 is a schematic structural diagram of a modeling apparatus for a virtual synchronous power distribution network according to a sixth embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and "object" in the description of the present invention and the claims and the above drawings are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a modeling method of a virtual synchronous power distribution network according to an embodiment of the present invention, where the method may be performed by a modeling apparatus of the virtual synchronous power distribution network, the modeling apparatus of the virtual synchronous power distribution network may be implemented in hardware and/or software, and the modeling apparatus of the virtual synchronous power distribution network may be configured in an electronic device. As shown in fig. 1, the method includes:
s110, taking a power distribution network branch of a target power distribution network as an object, and equivalent the actual power distribution network branch to a power distribution network branch equivalent model with configurable parameters, wherein the power distribution network branch equivalent model consists of a dominant photovoltaic inverter node, a distributed power flow controller node, a four-quadrant adjustable inverter node, an equivalent load node and power distribution network branch impedance.
In this embodiment, the target power distribution network may be a power distribution network serving as a model building research object, for example, may be a high-permeability distributed photovoltaic clustered virtual synchronous power distribution network to which a large number of distributed photovoltaic power stations are connected. The actual power distribution network branch may be the actual power distribution network branch of the target power distribution network. The dominant photovoltaic inverter node may be the dominant photovoltaic inverter node in the actual distribution network branch. The photovoltaic inverter can convert direct current generated by the solar panel under the action of sunlight into alternating current, and is used by a power supply network or supplies power for own load.
The distributed power flow controller nodes may be controller nodes that enable accurate monitoring and control of the distributed power supply, making the generation, transmission and use of energy more efficient and reliable. The distributed power flow controller can dynamically adjust the output of the distributed power supply according to load demands and power network conditions so as to maximize the utilization efficiency of energy. The four-quadrant adjustable inverter node can be an inverter node which can respectively and effectively convert electric energy according to different situations of input voltage and input current of the inverter and can be adjusted and controlled according to the requirements of a power grid or a load. The equivalent load node may be a node that reflects the load on the feeder and its distribution by the voltage across the feeder and the power flowing through the switches across the feeder. The power distribution network branch impedance may be an amount by which a circuit of a power distribution network branch impedes the ability of current to pass through the power distribution network branch.
Parameters of the power distribution network branch equivalent model can be configured according to actual conditions, and the power distribution network branch equivalent model can be composed of the dominant photovoltaic inverter nodes, distributed power flow controller nodes, four-quadrant adjustable inverter nodes, equivalent load nodes and power distribution network branch impedance.
S120, checking the power distribution network branch equivalent model by adjusting the configurable parameters and the controller parameters of the power distribution network branch equivalent model and comparing the first operation data of the branch merging points of the power distribution network branch.
In this embodiment, the configurable parameters of the power distribution network branch equivalent model may be parameters associated with equivalent impedance, equivalent load, and the like of the power distribution network branch that can be configured in the power distribution network branch equivalent model. The controller parameters of the power distribution network branch equivalent model may be parameters associated with controlling generator characteristics, power system stability, dynamic characteristics, and the like in the power distribution network branch equivalent model.
Optionally, the configurable parameters of the power distribution network branch equivalent model include at least one of equivalent impedance, equivalent active load and reactive load of the power distribution network branch; the controller parameters of the power distribution network branch equivalent model comprise at least one of active frequency modulation characteristic parameters, reactive voltage regulation characteristic parameters, inertia time parameters, rotational inertia parameters and damping coefficients;
in this embodiment, the equivalent impedance may be the overall impedance presented by the branch of the power distribution network at a specific frequency, so as to implement the equivalent of the complex branch of the power distribution network. The equivalent active load and reactive load may be equivalent loads obtained by performing equivalent operation on the active load and reactive load of the power grid branch. The active load may be a load in a branch of the distribution network that generates mechanical, thermal, or other forms of energy. Reactive load can be the load that can not direct conversion to useful electric energy in the distribution network branch road, can be used for adjusting distribution network branch road voltage, improves distribution network branch road system stability.
The active frequency modulation characteristic parameter can be used for adjusting the parameter related to the frequency characteristic of the generator for stabilizing the system under the condition that the load of the branch of the power distribution network is changed. The reactive voltage regulating characteristic parameter can be the voltage regulating characteristic parameter which achieves the purpose of reactive power balance by inputting a certain reactive compensation power supply when a great amount of reactive power consumption exists in the branch circuit of the power distribution network. The inertia time parameter may be a time parameter required to accelerate the generator rotor from a stationary state to a rated rotational speed under rated torque. The rotational inertia parameter may be a parameter indicative of the magnitude of inertial action of the generator as it rotates. The damping coefficient may be a coefficient representing the resistance the motor of the generator is subjected to in mechanical rotation.
In this embodiment, the branch junction of the power distribution network branch may be an actual power distribution network branch bus junction. The first operation data may be actual operation data acquired at an observation point by taking an actual power distribution network branch bus sink point as the observation point.
Specifically, by adjusting the configurable parameters and the controller parameters of the power distribution network branch equivalent model, checking the power distribution network branch equivalent model by comparing the first operation data of the branch merging point of the power distribution network branch, the fitting degree between the power distribution network branch equivalent model and the first operation data can be used as an adjusting reference, and the fitting degree between the operation data of the power distribution network branch equivalent model and the first operation data is continuously improved by adjusting the configurable parameters and the controller parameters of the power distribution network branch equivalent model. And then, under the condition that the fitting degree reaches a preset condition, checking of the equivalent model of the power distribution network branch is completed.
S130, after checking the power distribution network branch equivalent model, establishing a power distribution network initial equivalent model with configurable parameters based on the power distribution network branch equivalent model.
In this embodiment, after the verification of the power distribution network branch equivalent model, the fitting degree between the operation data and the first operation data of the power distribution network branch equivalent model reaches a preset condition, so that the state after the verification is completed. The initial equivalent model of the power distribution network can be an equivalent model obtained by initially modeling a target power distribution network. The parameter-configurable initial equivalent model of the power distribution network is established based on the equivalent model of the power distribution network branch, and the initial equivalent model of the power distribution network is established based on one or more power distribution network branch equivalent models after verification, combined with the actual topological structure of the target power distribution network and the distribution condition of each actual power distribution network branch. It can be appreciated that parameters of the initial equivalent model of the power distribution network constructed based on the checked equivalent model of one or more power distribution network branches can be configured according to practical situations.
And S140, checking the initial equivalent model of the power distribution network by adjusting configurable parameters of the initial equivalent model of the power distribution network and comparing second operation data of the connection point of the target power distribution network to the large power grid, and taking the initial equivalent model of the power distribution network passing through the checking as a virtual synchronous equivalent model of the power distribution network of the target power distribution network.
In this embodiment, the configurable parameters of the initial equivalent model of the power distribution network may be parameters associated with the equivalent impedance, the equivalent load, and the like of the power distribution network, which may be configured in the initial equivalent model of the power distribution network. The second operation data of the connection point of the target power distribution network to the large power grid can be actual operation data acquired by taking the connection point of the target power distribution network to the large power grid as an observation point. The checking of the initial equivalent model of the power distribution network can be performed by taking the fitting degree between the initial equivalent model of the power distribution network and the second operation data as an adjustment reference, and the fitting degree between the operation data of the initial equivalent model of the power distribution network and the second operation data is continuously improved by adjusting the configurable parameters and the controller parameters of the initial equivalent model of the power distribution network. And then, under the condition that the fitting degree reaches a preset condition, checking of the initial equivalent model of the power distribution network can be completed.
Optionally, the configurable parameters of the initial equivalent model of the power distribution network include at least one of equivalent impedance, equivalent active load and reactive load of the power distribution network branch to the large power grid access point.
According to the technical scheme, the actual power distribution network branch is equivalent to a power distribution network branch equivalent model with configurable parameters, wherein the power distribution network branch is formed by leading photovoltaic inverter nodes, distributed power flow controller nodes, four-quadrant adjustable inverter nodes, equivalent load nodes and power distribution network branch impedance. Checking the power distribution network branch equivalent model by adjusting configurable parameters and controller parameters of the power distribution network branch equivalent model and comparing first operation data of branch junction points of the power distribution network branch, wherein the configurable parameters of the power distribution network branch equivalent model comprise at least one of equivalent impedance, equivalent active load and reactive load of the power distribution network branch; the controller parameters of the power distribution network branch equivalent model comprise at least one of active frequency modulation characteristic parameters, reactive voltage regulation characteristic parameters, inertia time parameters, rotational inertia parameters and damping coefficients; after the power distribution network branch equivalent model passes the verification, establishing a power distribution network initial equivalent model with configurable parameters based on the power distribution network branch equivalent model; checking the initial equivalent model of the power distribution network by adjusting the configurable parameters of the initial equivalent model of the power distribution network and comparing the second operation data of the connection point from the target power distribution network to the large power grid, and taking the initial equivalent model of the power distribution network passing through the checking as a virtual synchronous equivalent model of the power distribution network of the target power distribution network, wherein the configurable parameters of the initial equivalent model of the power distribution network comprise at least one of equivalent impedance, equivalent active load and reactive load from a branch of the power distribution network to the large power grid connection point. The method solves the technical problem that the simulation model of the high-permeability distributed photovoltaic equipment is too complex, so that optimization of the source network cooperative control parameters is difficult to realize through the simulation model. By constructing the high-permeability distributed photovoltaic power distribution network equivalent model, the beneficial effects of optimizing the source network cooperative control of the virtual synchronous power distribution network based on the model and further assisting the popularization and application of the photovoltaic are achieved.
Example two
Fig. 2 is a flowchart of a modeling method of a virtual synchronous power distribution network according to a second embodiment of the present invention, where the method for checking a branch equivalent model of the power distribution network is specifically described based on the foregoing embodiments. Reference is made to the description of this example for a specific implementation. The technical features that are the same as or similar to those of the foregoing embodiments are not described herein. As shown in fig. 2, the method includes:
s210, taking a power distribution network branch of a target power distribution network as an object, and equivalent the actual power distribution network branch to a power distribution network branch equivalent model with configurable parameters, wherein the power distribution network branch equivalent model consists of a dominant photovoltaic inverter node, a distributed power flow controller node, a four-quadrant adjustable inverter node, an equivalent load node and power distribution network branch impedance.
S220, collecting first operation data of the branch junction point of the power distribution network, wherein the first operation data comprise active power, reactive power, voltage parameters and frequency parameters.
In this embodiment, the first operation data may be operation data of an input point of a branch bus of the power distribution network, and may include active power P b Reactive power Q b Voltage parameter u L And frequency parameter f L 。
Optionally, the first operation data may further include operation data of all photovoltaic access points on the power distribution network branch, for example, when the number of photovoltaic access points is n, active power P may be included v1 ～P vn Reactive power Q v1 ～Q vn . The equivalent active load P of the branch of the power distribution network can be calculated through the bus sink point of the branch of the power distribution network and the power data of the photovoltaic access point on the branch LLoad And equivalent reactive load Q LLoad . The calculation expression is as follows:
wherein P is vi 、Q vi And the active power and the reactive power of the ith photovoltaic node on the branch of the power distribution network are respectively.
S230, adjusting the controller parameters and the configurable parameters of the power distribution network branch equivalent model so that the first fitting goodness of the data curve and the actual response curve obtained by the power distribution network branch equivalent model meets a first preset condition.
In this embodiment, the data curve obtained by the power distribution network branch equivalent model may be an external characteristic curve obtained by the power distribution network branch equivalent model data. The actual response curve may be a response curve obtained from operational data of an actual distribution network branch bus sink. The first goodness of fit may be a goodness of fit obtained by performing goodness of fit calculation on a data curve and an actual response curve obtained by the power distribution network branch equivalent model. The first preset condition can be a condition which is met by the numerical value of the first fitting goodness, and under the condition that the first preset condition is met, the power distribution network branch equivalent model can be regarded as passing check and has engineering test precision.
Optionally, the step of enabling the first goodness of fit of the data curve and the actual response curve obtained by the power distribution network branch equivalent model to meet a first preset condition includes: selecting a first preset number of first reference points at equal intervals before the response curve obtained by the power distribution network branch equivalent model and the branch converging point actual response curve reach a steady state, and calculating a first fitting goodness based on the first reference points, wherein the first fitting goodness comprises a first active curve fitting goodness, a first voltage curve fitting goodness and a first frequency curve fitting goodness; and determining that the first fitting goodness meets a first preset condition under the condition that the maximum value of the first active curve fitting goodness, the first voltage curve fitting goodness and the first frequency curve fitting goodness is larger than a first preset parameter.
In this embodiment, the first preset number of first reference points may be a preset number of first reference points according to actual situations. The first reference points can be reference points which are selected at equal intervals on respective curves when the fitting goodness of the response curves obtained by the power distribution network branch equivalent model and the actual response curves of branch afflux points is calculated. The first goodness of fit may be a goodness of fit of a response curve obtained by the power distribution network branch equivalent model and a branch sink actual response curve. Including active curve goodness-of-fit, reactive curve goodness-of-fit, voltage curve goodness-of-fit, and frequency curve goodness-of-fit. The first preset parameter may be a parameter preset according to an actual situation and used for judging whether the first goodness of fit meets a first preset condition.
For example, n (n is more than or equal to 100) points are equally spaced on the output external characteristic curve of the equivalent model and the response curve before the actual distribution network branch junction reaches steady state to perform fitting goodness calculation, and when the data curve obtained by the distribution network branch equivalent model is matched with the first active curve fitting goodness R of the actual response curve PL Goodness of fit of first passive curve R QL Goodness of first voltage curve fitting R uL First frequency curve fitting goodness R fL The maximum value of (a) is greater than or equal to a first preset parameter sigma L The simulation model is proved to pass the check and has engineering test precision, and the expression is as follows:
Max{R PL ，R QL ，R uL ，R fL }≥σ L
optionally, the expressions of the first active curve goodness-of-fit, the first voltage curve goodness-of-fit, and the first frequency curve goodness-of-fit are respectively:
wherein R is PL Fitting goodness, P, to a first active curve Li Active response curve, P for power distribution network branch equivalent model Lmi Active power of the ith point on the actual active response curve of the branch afflux point; r is R QL Goodness of fit, Q, for first passive curve Li Reactive response curve, Q of power distribution network branch equivalent model Lmi Reactive power of the ith point on the actual reactive response curve of the branch afflux point respectively; r is R uL Fitting goodness, u to first Voltage Curve Li Voltage response curve u for power distribution network branch equivalent model Lmi The voltage of the ith point on the actual voltage response curve of the branch junction point is the voltage of the ith point; r is R fL Fitting goodness, f to a first frequency curve Li Frequency response curve f for power distribution network branch equivalent model Lmi The frequency of the ith point on the actual frequency response curve for the branch sink point.
S240, after the power distribution network branch equivalent model passes verification, establishing a power distribution network initial equivalent model with configurable parameters based on the power distribution network branch equivalent model.
S250, checking the initial equivalent model of the power distribution network by adjusting configurable parameters of the initial equivalent model of the power distribution network and comparing second operation data of the connection point of the target power distribution network to the large power grid, and taking the initial equivalent model of the power distribution network passing through the checking as a virtual synchronous equivalent model of the power distribution network of the target power distribution network.
According to the technical scheme, the actual power distribution network branch is equivalent to a power distribution network branch equivalent model with configurable parameters, wherein the power distribution network branch is formed by leading photovoltaic inverter nodes, distributed power flow controller nodes, four-quadrant adjustable inverter nodes, equivalent load nodes and power distribution network branch impedance. Then collecting first operation data of the branch junction point of the power distribution network; selecting a first preset number of first reference points at equal intervals before a response curve obtained by the power distribution network branch equivalent model and an actual response curve of a branch afflux point reach a steady state, and calculating a first fitting goodness based on the first reference points; and adjusting the controller parameters and the configurable parameters of the power distribution network branch equivalent model so that a first fitting goodness of a data curve and an actual response curve obtained by the power distribution network branch equivalent model meets a first preset condition, wherein when the maximum value of the first active curve fitting goodness, the first voltage curve fitting goodness and the first frequency curve fitting goodness is larger than the first preset parameter, the first fitting goodness is determined to meet the first preset condition. After the power distribution network branch equivalent model passes the verification, establishing a power distribution network initial equivalent model with configurable parameters based on the power distribution network branch equivalent model; checking the initial equivalent model of the power distribution network by adjusting the configurable parameters of the initial equivalent model of the power distribution network and comparing the second operation data of the connection point from the target power distribution network to the large power grid, and taking the initial equivalent model of the power distribution network passing through the checking as a virtual synchronous equivalent model of the power distribution network of the target power distribution network, wherein the configurable parameters of the initial equivalent model of the power distribution network comprise at least one of equivalent impedance, equivalent active load and reactive load from a branch of the power distribution network to the large power grid connection point. The method solves the technical problem that the simulation model of the high-permeability distributed photovoltaic equipment is too complex, so that optimization of the source network cooperative control parameters is difficult to realize through the simulation model. By constructing the high-permeability distributed photovoltaic power distribution network equivalent model, the beneficial effects of optimizing the source network cooperative control of the virtual synchronous power distribution network based on the model and further assisting the popularization and application of the photovoltaic are achieved.
Example III
Fig. 3 is a flowchart of a modeling method of a virtual synchronous power distribution network according to a second embodiment of the present invention, where the method for checking an initial equivalent model of the power distribution network is specifically described based on the foregoing embodiments. Reference is made to the description of this example for a specific implementation. The technical features that are the same as or similar to those of the foregoing embodiments are not described herein. As shown in fig. 3, the method includes:
and S310, taking a power distribution network branch of a target power distribution network as an object, and equivalent the actual power distribution network branch into a power distribution network branch equivalent model with configurable parameters, wherein the power distribution network branch equivalent model consists of a dominant photovoltaic inverter node, a distributed power flow controller node, a four-quadrant adjustable inverter node, an equivalent load node and power distribution network branch impedance.
S320, checking the power distribution network branch equivalent model by adjusting the configurable parameters and the controller parameters of the power distribution network branch equivalent model and comparing the first operation data of the branch merging points of the power distribution network branch.
S330, after the power distribution network branch equivalent model passes verification, establishing a power distribution network initial equivalent model with configurable parameters based on the power distribution network branch equivalent model.
S340, collecting second operation data of the connection point of the target power distribution network to the large power grid, wherein the second operation data comprise active power, reactive power, voltage parameters and frequency parameters.
In this embodiment, the second operation data may be operation data from the actual power distribution network to the access point of the large power grid, and may include active power P t Reactive power Q t A voltage parameter u and a frequency parameter f.
Optionally, the second operation data may further include power data of all branch bus access points of the actual power distribution network, and the power data of the power distribution network to the large power grid access point and all branch bus access points of the power distribution network may be calculated to obtain an equivalent active load PLoad and an equivalent reactive load QLoad of the large power grid access point, where the calculation expression is as follows:
s350, adjusting the configurable parameters of the initial equivalent model of the power distribution network to enable the second fitting goodness between the data curve and the actual response curve obtained by the initial equivalent model of the power distribution network to meet a second preset condition.
In this embodiment, the data curve obtained by the initial equivalent model of the power distribution network may be an external characteristic curve obtained by the initial equivalent model data of the power distribution network. The actual response curve may be a response curve derived from actual large grid access point operational data. The second goodness-of-fit may be a goodness-of-fit calculated from a goodness-of-fit calculation of a data curve and an actual response curve obtained from an initial equivalent model of the power distribution network. The second preset condition may be a condition that the numerical value of the second goodness of fit meets, and under the condition that the second preset condition is met, the initial equivalent model of the power distribution network can be regarded as passing check and has engineering test precision.
Optionally, the step of enabling the second goodness of fit between the data curve obtained by the initial equivalent model of the power distribution network and the actual response curve to meet a second preset condition includes: selecting a second preset number of second reference points at equal intervals before the data curve obtained by the initial equivalent model of the power distribution network and the actual response curve of the large power grid sink point reach a steady state, and calculating a second fitting goodness based on the second reference points, wherein the second fitting goodness comprises a second active curve fitting goodness, a second reactive curve fitting goodness, a second voltage curve fitting goodness and a second frequency curve fitting goodness; and determining that the second fitting goodness meets a second preset condition under the condition that the maximum value of the second active curve fitting goodness, the second reactive curve fitting goodness, the second voltage curve fitting goodness and the second frequency curve fitting goodness is larger than a second preset parameter.
In this embodiment, the second preset number of second reference points may be a preset number of second reference points according to actual situations. The second reference points can be reference points which are selected at equal intervals on the respective curves when the goodness of fit of the data curve obtained by the initial equivalent model of the power distribution network and the actual response curve of the large power grid sink point is calculated. The second goodness of fit may be a data curve obtained from the initial equivalent model of the distribution network and an actual response curve of the large grid sink. Including active curve goodness-of-fit, reactive curve goodness-of-fit, voltage curve goodness-of-fit, and frequency curve goodness-of-fit. The second preset parameter may be a parameter preset according to an actual situation and used for judging whether the second goodness of fit meets a second preset condition.
Optionally, the expressions of the second power curve goodness-of-fit, the second reactive curve goodness-of-fit, the second voltage curve goodness-of-fit, and the second frequency curve goodness-of-fit are respectively:
wherein R is P Fitting goodness, P, to a second active curve i Active response curve, P, for initial equivalent model of power distribution network mi The active power of the ith point on the actual active response curve of the large power grid access point is obtained; r is R Q Fitting goodness, Q to a second reactive curve i Reactive response curve, Q of initial equivalent model of power distribution network mi Reactive power of the i-th point on the actual reactive response curve of the large power grid access point is respectively; r is R u Fitting goodness, u to the second voltage curve i Voltage response curve u for initial equivalent model of power distribution network mi The voltage of the ith point on the actual voltage response curve of the large power grid access point is obtained; r is R f Fitting goodness, f to a second frequency curve i Frequency response curve f for initial equivalent model of power distribution network mi Actual frequency response curve for large power grid access pointi points.
S360, taking the initial equivalent model of the power distribution network passing through the verification as a virtual synchronous equivalent model of the power distribution network of the target power distribution network.
According to the technical scheme, the actual power distribution network branch is equivalent to a power distribution network branch equivalent model with configurable parameters, wherein the power distribution network branch is formed by leading photovoltaic inverter nodes, distributed power flow controller nodes, four-quadrant adjustable inverter nodes, equivalent load nodes and power distribution network branch impedance. And then collecting first operation data of the branch junction point of the power distribution network, and checking the branch equivalent model of the power distribution network by adjusting configurable parameters and controller parameters of the branch equivalent model of the power distribution network and comparing the first operation data of the branch junction point of the branch of the power distribution network. After the power distribution network branch equivalent model passes the verification, a power distribution network initial equivalent model with configurable parameters is established based on the power distribution network branch equivalent model. And acquiring second operation data from the target power distribution network to a large power grid connection point, and adjusting configurable parameters of the initial equivalent model of the power distribution network so that a second fitting goodness between a data curve and an actual response curve obtained by the initial equivalent model of the power distribution network meets a second preset condition. And finally, taking the checked initial equivalent model of the power distribution network as a virtual synchronous equivalent model of the power distribution network of the target power distribution network. The method solves the technical problem that the simulation model of the high-permeability distributed photovoltaic equipment is too complex, so that optimization of the source network cooperative control parameters is difficult to realize through the simulation model. By constructing the high-permeability distributed photovoltaic power distribution network equivalent model, the beneficial effects of optimizing the source network cooperative control of the virtual synchronous power distribution network based on the model and further assisting the popularization and application of the photovoltaic are achieved.
Example IV
Fig. 4 is a schematic structural diagram of a modeling apparatus for a virtual synchronous power distribution network according to a third embodiment of the present invention. As shown in fig. 4, the apparatus includes: the branch model building module 410, the branch model checking module 420, the distribution network model building module 430, and the distribution network model checking module 440.
The branch model building module 410 is configured to take a power distribution network branch of a target power distribution network as an object, take the power distribution network branch as an object, and equivalent the actual power distribution network branch into a power distribution network branch equivalent model with configurable parameters, which is composed of a dominant photovoltaic inverter node, a distributed power flow controller node, a four-quadrant adjustable inverter node, an equivalent load node and power distribution network branch impedance;
the branch model checking module 420 is configured to check the power distribution network branch equivalent model by adjusting a configurable parameter and a controller parameter of the power distribution network branch equivalent model and comparing first operation data of a branch sink of the power distribution network branch;
the power distribution network model establishing module 430 is configured to establish an initial equivalent model of the power distribution network with configurable parameters based on the power distribution network branch equivalent model after the power distribution network branch equivalent model passes the verification;
The power distribution network model checking module 440 is configured to check the power distribution network initial equivalent model by adjusting a configurable parameter of the power distribution network initial equivalent model and comparing second operation data from the target power distribution network to a large power distribution network connection point, and take the power distribution network initial equivalent model passing the check as a power distribution network virtual synchronization equivalent model of the target power distribution network.
According to the technical scheme, the actual power distribution network branch is equivalent to a power distribution network branch equivalent model with configurable parameters, wherein the power distribution network branch is formed by leading photovoltaic inverter nodes, distributed power flow controller nodes, four-quadrant adjustable inverter nodes, equivalent load nodes and power distribution network branch impedance. Then checking the power distribution network branch equivalent model by adjusting the configurable parameters and the controller parameters of the power distribution network branch equivalent model and comparing the first operation data of the branch junction points of the power distribution network branch; after the power distribution network branch equivalent model passes the verification, establishing a power distribution network initial equivalent model with configurable parameters based on the power distribution network branch equivalent model; and checking the initial equivalent model of the power distribution network by adjusting configurable parameters of the initial equivalent model of the power distribution network and comparing second operation data of the connection point of the target power distribution network to the large power grid, and taking the initial equivalent model of the power distribution network passing the checking as a virtual synchronous equivalent model of the power distribution network of the target power distribution network. The method solves the technical problem that the simulation model of the high-permeability distributed photovoltaic equipment is too complex, so that optimization of the source network cooperative control parameters is difficult to realize through the simulation model. By constructing the high-permeability distributed photovoltaic power distribution network equivalent model, the beneficial effects of optimizing the source network cooperative control of the virtual synchronous power distribution network based on the model and further assisting the popularization and application of the photovoltaic are achieved.
On the basis of the technical scheme, further, the configurable parameters of the power distribution network branch equivalent model comprise at least one of equivalent impedance, equivalent active load and reactive load of the power distribution network branch; the controller parameters of the power distribution network branch equivalent model comprise at least one of active frequency modulation characteristic parameters, reactive voltage regulation characteristic parameters, inertia time parameters, rotational inertia parameters and damping coefficients; the configurable parameters of the initial equivalent model of the power distribution network comprise at least one of equivalent impedance, equivalent active load and reactive load from a branch of the power distribution network to a large power grid access point.
Based on the above technical solution, further, the branch model checking module 420 is specifically configured to: collecting first operation data of a branch junction point of the power distribution network, wherein the first operation data comprises active power, reactive power, voltage parameters and frequency parameters; and adjusting the controller parameters and the configurable parameters of the power distribution network branch equivalent model so that the first fitting goodness of the data curve and the actual response curve obtained by the power distribution network branch equivalent model meets a first preset condition.
Based on the above technical solution, further, the branch model checking module 420 includes a first preset condition determining unit.
The power distribution network branch equivalent model comprises a first preset condition determining unit, a second preset condition determining unit and a second preset condition determining unit, wherein the first preset condition determining unit is used for selecting a first preset number of first reference points at equal intervals before a response curve obtained by the power distribution network branch equivalent model and an actual response curve of a branch sink point reach a steady state, and calculating a first fitting goodness based on the first reference points, wherein the first fitting goodness comprises a first active curve fitting goodness, a first voltage curve fitting goodness and a first frequency curve fitting goodness; and determining that the first fitting goodness meets a first preset condition under the condition that the maximum value of the first active curve fitting goodness, the first voltage curve fitting goodness and the first frequency curve fitting goodness is larger than a first preset parameter.
On the basis of the above technical solution, further, the expressions of the first active curve fitting goodness, the first voltage curve fitting goodness and the first frequency curve fitting goodness are respectively:
/>
Wherein R is PL Fitting goodness, P, to a first active curve Li Active response curve, P for power distribution network branch equivalent model Lmi Active power of the ith point on the actual active response curve of the branch afflux point; r is R QL Goodness of fit, Q, for first passive curve Li Reactive response curve, Q of power distribution network branch equivalent model Lmi Reactive power at the i-th point on the actual reactive response curve, respectively the branch sink pointA rate; r is R uL Fitting goodness, u to first Voltage Curve Li Voltage response curve u for power distribution network branch equivalent model Lmi The voltage of the ith point on the actual voltage response curve of the branch junction point is the voltage of the ith point; r is R fL Fitting goodness, f to a first frequency curve Li Frequency response curve f for power distribution network branch equivalent model Lmi The frequency of the ith point on the actual frequency response curve for the branch sink point.
Based on the above technical solution, further, the power distribution network model checking module 440 is specifically configured to: collecting second operation data from the target power distribution network to a large power grid connection point, wherein the second operation data comprises active power, reactive power, voltage parameters and frequency parameters; and adjusting the configurable parameters of the initial equivalent model of the power distribution network so that a second fitting goodness between a data curve and an actual response curve obtained by the initial equivalent model of the power distribution network meets a second preset condition.
Based on the above technical solution, further, the power distribution network model checking module 440 includes a second preset condition determining unit.
The second preset condition determining unit is used for selecting a second preset number of second reference points at equal intervals before the data curve obtained by the initial equivalent model of the power distribution network and the actual response curve of the large power grid sink point reach a steady state, and calculating a second fitting goodness based on the second reference points, wherein the second fitting goodness comprises a second active curve fitting goodness, a second reactive curve fitting goodness, a second voltage curve fitting goodness and a second frequency curve fitting goodness;
and determining that the second fitting goodness meets a second preset condition under the condition that the maximum value of the second active curve fitting goodness, the second reactive curve fitting goodness, the second voltage curve fitting goodness and the second frequency curve fitting goodness is larger than a second preset parameter.
On the basis of the above technical solution, further, the expressions of the second power curve goodness of fit, the second reactive curve goodness of fit, the second voltage curve goodness of fit, and the second frequency curve goodness of fit are respectively:
/>
Wherein R is P Fitting goodness, P, to a second active curve i Active response curve, P, for initial equivalent model of power distribution network mi The active power of the ith point on the actual active response curve of the large power grid access point is obtained; r is R Q Fitting goodness, Q to a second reactive curve i Reactive response curve, Q of initial equivalent model of power distribution network mi Reactive power of the i-th point on the actual reactive response curve of the large power grid access point is respectively; r is R u Fitting goodness, u to the second voltage curve i Voltage response curve u for initial equivalent model of power distribution network mi The voltage of the ith point on the actual voltage response curve of the large power grid access point is obtained; r is R f Fitting goodness, f to a second frequency curve i Frequency response curve f for initial equivalent model of power distribution network mi Is the frequency of the i-th point on the actual frequency response curve of the large power grid access point.
The modeling device of the virtual synchronous power distribution network provided by the embodiment of the invention can execute the modeling method of the virtual synchronous power distribution network provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example five
Fig. 5 is a schematic structural diagram of a virtual synchronous power distribution network control platform according to a fifth embodiment of the present invention. The virtual synchronous power distribution network control platform comprises: the power distribution network virtual synchronization equivalent model, the control communication and data interface card, the distributed photovoltaic node, the distributed power flow controller and the four-quadrant adjustable inverter physical controller are any one of the power distribution network virtual synchronization equivalent model, the control communication and data interface card, the distributed photovoltaic node, the distributed power flow controller and the four-quadrant adjustable inverter physical controller.
The virtual synchronous equivalent model of the power distribution network is established through a real-time digital simulator, and is respectively communicated with a dominant distributed photovoltaic node, a distributed power flow controller and a four-quadrant adjustable inverter physical controller through the control communication and data interface card; and the control communication and data interface card is integrated with an AD/DA conversion chip for carrying out data interaction with the real-time digital simulator.
In addition, an RS485 communication interface which is in physical control with a distribution network leading distributed photovoltaic node/distributed power flow controller/four-quadrant adjustable inverter is integrated in the communication board, and the communication interface supports a common communication protocol of field devices such as photovoltaic power generation, for example Modbus.
The dominant distributed photovoltaic node/distributed power flow controller/four-quadrant adjustable inverter physical controller can realize active support function of a photovoltaic system and cooperative control of a source network.
Through the platform construction of the example, frequency and voltage disturbance can be applied to the power distribution network, frequency and voltage response conditions are observed through the distributed photovoltaic controller/the four-quadrant controller/the distributed power flow controller, the multistage regulation and control and active supporting capacity of the cooperative control of the power distribution network source network are tested, and finally the purpose of optimizing control parameters is achieved.
Example six
Fig. 6 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 6, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as modeling methods of a virtual synchronous power distribution network.
In some embodiments, the modeling method of the virtual synchronous power distribution network may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the modeling method of a virtual synchronous power distribution network described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the modeling method of the virtual synchronous power distribution network in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method of modeling a virtually synchronous power distribution network, comprising:
taking a power distribution network branch of a target power distribution network as an object, and equivalent the actual power distribution network branch to be a power distribution network branch equivalent model with configurable parameters, wherein the power distribution network branch equivalent model consists of a dominant photovoltaic inverter node, a distributed power flow controller node, a four-quadrant adjustable inverter node, an equivalent load node and power distribution network branch impedance;
checking the power distribution network branch equivalent model by adjusting the configurable parameters and the controller parameters of the power distribution network branch equivalent model and comparing the first operation data of the branch junction points of the power distribution network branch;
After the power distribution network branch equivalent model passes the verification, establishing a power distribution network initial equivalent model with configurable parameters based on the power distribution network branch equivalent model;
and checking the initial equivalent model of the power distribution network by adjusting configurable parameters of the initial equivalent model of the power distribution network and comparing second operation data of the connection point of the target power distribution network to the large power grid, and taking the initial equivalent model of the power distribution network passing the checking as a virtual synchronous equivalent model of the power distribution network of the target power distribution network.
2. The method of claim 1, wherein the configurable parameters of the power distribution network branch equivalent model include at least one of equivalent impedance, equivalent active load, and reactive load of the power distribution network branch; the controller parameters of the power distribution network branch equivalent model comprise at least one of active frequency modulation characteristic parameters, reactive voltage regulation characteristic parameters, inertia time parameters, rotational inertia parameters and damping coefficients; the configurable parameters of the initial equivalent model of the power distribution network comprise at least one of equivalent impedance, equivalent active load and reactive load from a branch of the power distribution network to a large power grid access point.
3. The method according to claim 1, wherein said checking the distribution network branch equivalent model by comparing the first operation data of the branch junction points of the distribution network branches comprises:
Collecting first operation data of a branch junction point of the power distribution network, wherein the first operation data comprises active power, reactive power, voltage parameters and frequency parameters;
and adjusting the controller parameters and the configurable parameters of the power distribution network branch equivalent model so that the first fitting goodness of the data curve and the actual response curve obtained by the power distribution network branch equivalent model meets a first preset condition.
4. A method according to claim 3, wherein said meeting a first preset condition with a first goodness of fit of a data curve and an actual response curve obtained by the distribution network branch equivalent model comprises:
selecting a first preset number of first reference points at equal intervals before the response curve obtained by the power distribution network branch equivalent model and the branch converging point actual response curve reach a steady state, and calculating a first fitting goodness based on the first reference points, wherein the first fitting goodness comprises a first active curve fitting goodness, a first voltage curve fitting goodness and a first frequency curve fitting goodness;
and determining that the first fitting goodness meets a first preset condition under the condition that the maximum value of the first active curve fitting goodness, the first voltage curve fitting goodness and the first frequency curve fitting goodness is larger than a first preset parameter.
5. The method of claim 4, wherein the expressions for the first goodness-of-fit, the first voltage curve goodness-of-fit, and the first frequency curve goodness-of-fit are:
wherein R is PL Fitting goodness, P, to a first active curve Li Active response curve, P for power distribution network branch equivalent model Lmi Active power of the ith point on the actual active response curve of the branch afflux point; r is R Q Goodness of fit, Q, for first passive curve Li Reactive response curve, Q of power distribution network branch equivalent model Lm Reactive power of the ith point on the actual reactive response curve of the branch afflux point respectively; r is R uL Fitting goodness, u to first Voltage Curve Li Voltage response curve u for power distribution network branch equivalent model Lmi The voltage of the ith point on the actual voltage response curve of the branch junction point is the voltage of the ith point; r is R fL Fitting goodness, f to a first frequency curve L Frequency response curve f for power distribution network branch equivalent model Lmi The frequency of the ith point on the actual frequency response curve for the branch sink point.
6. The method of claim 1, wherein the checking the initial equivalent model of the distribution network by comparing the second operational data of the target distribution network to the large grid connection point comprises:
Collecting second operation data from the target power distribution network to a large power grid connection point, wherein the second operation data comprises active power, reactive power, voltage parameters and frequency parameters;
and adjusting the configurable parameters of the initial equivalent model of the power distribution network so that a second fitting goodness between a data curve and an actual response curve obtained by the initial equivalent model of the power distribution network meets a second preset condition.
7. The method of claim 6, wherein said satisfying a second preset condition by a second goodness of fit between a data curve and an actual response curve obtained by the initial equivalent model of the power distribution network comprises:
selecting a second preset number of second reference points at equal intervals before the data curve obtained by the initial equivalent model of the power distribution network and the actual response curve of the large power grid sink point reach a steady state, and calculating a second fitting goodness based on the second reference points, wherein the second fitting goodness comprises a second active curve fitting goodness, a second reactive curve fitting goodness, a second voltage curve fitting goodness and a second frequency curve fitting goodness;
and determining that the second fitting goodness meets a second preset condition under the condition that the maximum value of the second active curve fitting goodness, the second reactive curve fitting goodness, the second voltage curve fitting goodness and the second frequency curve fitting goodness is larger than a second preset parameter.
8. The method of claim 7, wherein the expressions for the second power curve goodness-of-fit, the second reactive curve goodness-of-fit, the second voltage curve goodness-of-fit, and the second frequency curve goodness-of-fit are:
wherein R is P Is the firstGoodness of fit, P of two active curves i Active response curve, P, for initial equivalent model of power distribution network mi The active power of the ith point on the actual active response curve of the large power grid access point is obtained; r is R Q Fitting goodness, Q to a second reactive curve i Reactive response curve, Q of initial equivalent model of power distribution network mi Reactive power of the i-th point on the actual reactive response curve of the large power grid access point is respectively; r is R u Fitting goodness, u to the second voltage curve i Voltage response curve u for initial equivalent model of power distribution network mi The voltage of the ith point on the actual voltage response curve of the large power grid access point is obtained; r is R f Fitting goodness, f to a second frequency curve i Frequency response curve f for initial equivalent model of power distribution network mi Is the frequency of the i-th point on the actual frequency response curve of the large power grid access point.
9. A modeling apparatus for a virtually synchronous power distribution network, comprising:
the branch model building module is used for taking a power distribution network branch of a target power distribution network as an object, taking the power distribution network branch as an object, and equivalent the actual power distribution network branch into a power distribution network branch equivalent model with configurable parameters, wherein the power distribution network branch equivalent model consists of a dominant photovoltaic inverter node, a distributed power flow controller node, a four-quadrant adjustable inverter node, an equivalent load node and power distribution network branch impedance;
The branch model checking module is used for checking the branch equivalent model of the power distribution network by adjusting the configurable parameters and the controller parameters of the branch equivalent model of the power distribution network and comparing the first operation data of the branch sink points of the branch of the power distribution network;
the power distribution network model building module is used for building an initial equivalent model of the power distribution network with configurable parameters based on the equivalent model of the power distribution network branch after the equivalent model of the power distribution network branch passes the check;
and the power distribution network model checking module is used for checking the power distribution network initial equivalent model by adjusting the configurable parameters of the power distribution network initial equivalent model and comparing the second operation data from the target power distribution network to the large power grid connection point, and taking the power distribution network initial equivalent model passing the checking as the power distribution network virtual synchronous equivalent model of the target power distribution network.
10. A virtual synchronous power distribution network control platform, comprising: the virtual synchronous equivalent model, control communication and data interface card, distributed photovoltaic node, distributed power flow controller and four-quadrant adjustable inverter physical controller of the power distribution network of any one of claims 1-8; the virtual synchronous equivalent model of the power distribution network is established through a real-time digital simulator, and is respectively communicated with a dominant distributed photovoltaic node, a distributed power flow controller and a four-quadrant adjustable inverter physical controller through the control communication and data interface card; and the control communication and data interface card is integrated with an AD/DA conversion chip for carrying out data interaction with the real-time digital simulator.
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