CN116599125A - New energy station simulation optimization method, device, equipment and storage medium - Google Patents
New energy station simulation optimization method, device, equipment and storage medium Download PDFInfo
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Classifications
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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
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
-
- 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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- 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
- H02J2300/28—The renewable source being wind energy
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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
- H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
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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 application relates to the technical field of new energy power generation, in particular to a new energy station simulation optimization method, a device, equipment and a storage medium, wherein the method comprises the following steps: simplifying a single inverter model in a fan and a photovoltaic power generation field in a new energy station, and neglecting that the single inverter model is positioned at the side of the fan power generation field or the side of the photovoltaic power generation field; the method comprises the steps of (1) equating all simplified inverter models in a new energy station into one inverter to obtain a single-machine equivalent inverter; synchronously modifying non-per unit control parameters of the single-machine equivalent inverter; and performing impedance analysis and time domain simulation on the new energy station by using the single-machine equivalent inverter and the modified non-per-unit control parameters. In the application, in the impedance analysis and time domain simulation of the new energy station, the configuration requirement of a simulation system can be greatly reduced, and the simulation running time is shortened, so that the small-interference stability analysis can be performed on a large-scale new energy station, and the method has great value for the stable development of new energy.
Description
Technical Field
The application relates to the technical field of new energy power generation, in particular to a new energy station simulation optimization method, a device, equipment and a storage medium.
Background
The new energy power generation becomes an important component for realizing the 'double carbon' target, and the grid-connected inverter is used as a core component for electric energy conversion in the new energy power generation, and is required to have higher reliability and electric energy quality.
For new energy stations, a large number of grid-connected inverters run in parallel, which may cause instability of the system, so that many researches start to study the small disturbance stability of the energy grid-connected system through an impedance method and time domain simulation. However, a large number of grid-connected inverters in the new energy system run simultaneously, so that time domain simulation on a detailed system is difficult to realize, the system configuration requirement on simulation running is high, and the simulation time is long.
The information disclosed in this background section is only for enhancement of understanding of the general background of the application and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The application provides a new energy station simulation optimization method, a device, equipment and a storage medium, thereby effectively solving the problems in the background technology.
In order to achieve the above purpose, the technical scheme adopted by the application is as follows: a new energy station simulation optimization method comprises the following steps:
simplifying a single inverter model in a fan and a photovoltaic power generation field in a new energy station, and neglecting that the single inverter model is positioned at the side of the fan power generation field or the side of the photovoltaic power generation field;
the method comprises the steps of (1) equating all simplified inverter models in a new energy station into one inverter to obtain a single-machine equivalent inverter;
synchronously modifying the non-per unit control parameters of the single-machine equivalent inverter;
and performing impedance analysis and time domain simulation on the new energy station by using the single-machine equivalent inverter and the modified non-per-unit control parameters.
Further, the simplification of the single inverter model in the fan and the photovoltaic power generation field in the new energy station comprises the following steps: the controlled current source controlled using the ratio of power to dc voltage represents a fan or photovoltaic panel power source.
Further, when all the simplified inverter models in the new energy station are equivalent to one inverter, the following constraint is established:
the inverter model group equivalent is that the direct current voltage is unchanged after the single-machine equivalent inverter;
the inverter model group equivalent is that the alternating voltage is unchanged after the single-machine equivalent inverter;
the inverter model group equivalent is that the active power and the reactive power are unchanged after the single-machine equivalent inverter;
and the inverter model group equivalent is the transient state consistency after the single-machine equivalent inverter.
Further, in the single-machine equivalent inverter:
P ref_eq ＝nP ref
C dc_eq ＝nC dc
L f_eq ＝L f /n
Z l_eq ＝Z l /n
wherein n is the number of inverter models before equivalence, P ref_eq 、C dc_eq 、L f_eq And Z l_eq Power, DC bus capacitor, filter inductance and line impedance of constant power source of single machine equivalent inverter, P ref 、C dc 、L f And Z l The power, the direct current bus capacitance, the filter inductance and the line impedance of the constant power source of the previous inverter model are respectively equivalent.
Further, the non-per unit control parameters of the single-unit equivalent inverter are as follows:
H vdc_eq ＝nH vdc
H i_eq ＝H i /n
K i_eq ＝K i /n
H pll_eq ＝H pll
wherein H is vdc_eq 、H i_eq And H pll_eq The control transfer functions of the direct-current voltage outer ring, the current inner ring and the phase-locked loop of the single-machine equivalent inverter are respectively K i_eq Decoupling the current inner loop of the single-machine equivalent inverter;
H vdc 、H i and H pll The control transfer functions of the direct-current voltage outer ring, the current inner ring and the phase-locked loop of the equivalent pre-inverter model are respectively K i Is the decoupling of the current inner loop of the equivalent pre-inverter model.
The application also comprises a new energy station simulation optimizing device, which comprises:
the simplification module is used for simplifying a single inverter model in a fan and a photovoltaic power generation field in the new energy field station, and neglecting that the single inverter model is positioned at the side of the fan power generation field or at the side of the photovoltaic power generation field;
the equivalent module is used for equalizing all the simplified inverter models in the new energy station into one inverter to obtain a single-machine equivalent inverter;
the modification module is used for synchronously modifying the non-per unit control parameters of the single-unit equivalent inverter;
and the simulation module is used for carrying out impedance analysis and time domain simulation on the new energy station by using the single-machine equivalent inverter and the modified non-per-unit control parameters.
Further, the simplification module comprises a controlled current source module which represents a fan or photovoltaic panel power source and whose power is controlled in a ratio to direct voltage.
Further, the equivalence module includes a constraint module that includes the following constraints:
the inverter model group equivalent is that the direct current voltage is unchanged after the single-machine equivalent inverter;
the inverter model group equivalent is that the alternating voltage is unchanged after the single-machine equivalent inverter;
the inverter model group equivalent is that the active power and the reactive power are unchanged after the single-machine equivalent inverter;
and the inverter model group equivalent is the transient state consistency after the single-machine equivalent inverter.
Further, the equivalence module includes:
P ref_eq ＝nP ref
C dc_eq ＝nC dc
L f_eq ＝L f /n
Z l_eq ＝Z l /n
wherein n is the number of inverter models before equivalence, P ref_eq 、C dc_eq 、L f_eq And Z l_eq Power, DC bus capacitor, filter inductance and line impedance of constant power source of single machine equivalent inverter, P ref 、C dc 、L f And Z l The power, the direct current bus capacitance, the filter inductance and the line impedance of the constant power source of the previous inverter model are respectively equivalent.
Further, the modification module includes:
H vdc_eq ＝nH vdc
H i_eq ＝H i /n
K i_eq ＝K i /n
H pll_eq ＝H pll
wherein H is vdc_eq 、H i_eq And H pll_eq The control transfer functions of the direct-current voltage outer ring, the current inner ring and the phase-locked loop of the single-machine equivalent inverter are respectively K i_eq Decoupling the current inner loop of the single-machine equivalent inverter;
H vdc 、H i and H pll The control transfer functions of the direct-current voltage outer ring, the current inner ring and the phase-locked loop of the equivalent pre-inverter model are respectively K i Is the decoupling of the current inner loop of the equivalent pre-inverter model.
The application also includes a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, which processor implements the method as described above when executing the computer program.
The application also includes a storage medium having stored thereon a computer program which, when executed by a processor, implements a method as described above.
The beneficial effects of the application are as follows: the application simplifies the inverter model to neglect the position, then equalizes all inverter models in the new energy station into one, and synchronously modifies the non-per unit control parameters aiming at the equality process, thereby ensuring that the equivalent single-machine equivalent inverter can replace a plurality of inverter models before simplification in simulation, greatly reducing the configuration requirement of a simulation system in impedance analysis and time domain simulation of the new energy station, reducing the simulation running time, and carrying out small interference stability analysis on a large-scale new energy station, and having great value for the stable development of new energy.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings may be obtained according to the drawings without inventive effort to those skilled in the art.
FIG. 1 is a flow chart of the method of example 1;
FIG. 2 is a schematic view of the structure of the device in example 1;
FIG. 3 is a main circuit diagram of an inverter model;
FIG. 4 is a control system diagram of an inverter model;
FIG. 5 is a simulated waveform of a simplified inverter model;
FIGS. 6 to 9 are comparison diagrams of simulation results before and after equivalence;
FIG. 10 is a graph comparing impedance analysis before and after equivalence;
fig. 11 is a schematic structural diagram of a computer device.
Detailed Description
The following description of the embodiments of the present application 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 application, but not all embodiments.
Example 1:
as shown in fig. 1: a new energy station simulation optimization method comprises the following steps:
simplifying a single inverter model in a fan and a photovoltaic power generation field in a new energy station, and neglecting that the single inverter model is positioned at the side of the fan power generation field or the side of the photovoltaic power generation field;
the method comprises the steps of (1) equating all simplified inverter models in a new energy station into one inverter to obtain a single-machine equivalent inverter;
synchronously modifying non-per unit control parameters of the single-machine equivalent inverter;
and performing impedance analysis and time domain simulation on the new energy station by using the single-machine equivalent inverter and the modified non-per-unit control parameters.
The inverter model is simplified to neglect the position, all inverter models in the new energy station are equivalent to one, and the non-per-unit control parameters are synchronously modified for the equivalent process, so that the equivalent single-machine equivalent inverter can replace a plurality of inverter models before simplification in simulation, the configuration requirement of a simulation system can be greatly reduced in impedance analysis and time domain simulation of the new energy station, the simulation running time is shortened, small-interference stability analysis can be carried out on the large-scale new energy station, and the simulation system has great value for stable development of new energy.
In this embodiment, simplifying a single inverter model in a fan and a photovoltaic power generation field in a new energy station includes: the controlled current source controlled using the ratio of power to dc voltage represents a fan or photovoltaic panel power source.
When all the simplified inverter models in the new energy station are equivalent to one inverter, the following constraint is established:
the inverter model group equivalent is the direct current voltage after the single-machine equivalent inverter is unchanged;
the inverter model group equivalent is the alternating voltage after a single-machine equivalent inverter is unchanged;
the inverter model group equivalent is that the active power and the reactive power are unchanged after the single-machine equivalent inverter;
the inverter model group equivalent is the transient state consistency after the single-machine equivalent inverter.
As a preferred embodiment of the above embodiment, in the single-unit equivalent inverter:
P ref_eq ＝nP ref
C dc_eq ＝nC dc
L f_eq ＝L f /n
Z l_eq ＝Z l /n
wherein n is the number of inverter models before equivalence, P ref_eq 、C dc_eq 、L f_eq And Z l_eq Power, DC bus capacitor, filter inductance and line impedance of constant power source of single machine equivalent inverter, P ref 、C dc 、L f And Z l Respectively equal valueThe power of the constant power source of the previous inverter model, the DC bus capacitance, the filter inductance and the line impedance.
The non-per unit control parameters of the single-machine equivalent inverter are as follows:
H vdc_eq ＝nH vdc
H i_eq ＝H i /n
K i_eq ＝K i /n
H pll_eq ＝H pll
wherein H is vdc_eq 、H i_eq And H pll_eq The control transfer functions of the direct-current voltage outer ring, the current inner ring and the phase-locked loop of the single-machine equivalent inverter are respectively K i_eq Decoupling the current inner loop of the single-machine equivalent inverter;
H vdc 、H i and H pll The control transfer functions of the direct-current voltage outer ring, the current inner ring and the phase-locked loop of the equivalent pre-inverter model are respectively K i Is the decoupling of the current inner loop of the equivalent pre-inverter model.
As shown in fig. 2, the embodiment further includes a new energy station simulation optimizing device, including:
the simplification module is used for simplifying a single inverter model in a fan and a photovoltaic power generation field in the new energy field station, and neglecting that the single inverter model is positioned at the side of the fan power generation field or at the side of the photovoltaic power generation field;
the equivalent module is used for equalizing all the simplified inverter models in the new energy station into one inverter to obtain a single-machine equivalent inverter;
the modification module is used for synchronously modifying the non-per unit control parameters of the single-machine equivalent inverter;
and the simulation module is used for carrying out impedance analysis and time domain simulation on the new energy station by using the single-machine equivalent inverter and the modified non-per-unit control parameters.
The simplification module comprises a controlled current source module which represents a fan or photovoltaic panel power source and controls the ratio of power to direct current voltage.
The equivalence module comprises a constraint module, and the constraint module comprises the following constraints:
the inverter model group equivalent is the direct current voltage after the single-machine equivalent inverter is unchanged;
the inverter model group equivalent is the alternating voltage after a single-machine equivalent inverter is unchanged;
the inverter model group equivalent is that the active power and the reactive power are unchanged after the single-machine equivalent inverter;
the inverter model group equivalent is the transient state consistency after the single-machine equivalent inverter.
The equivalence module comprises:
P ref_eq ＝nP ref
C dc_eq ＝nC dc
L f_eq ＝L f /n
Z l_eq ＝Z l /n
wherein n is the number of inverter models before equivalence, P ref_eq 、C dc_eq 、L f_eq And Z l_eq Power, DC bus capacitor, filter inductance and line impedance of constant power source of single machine equivalent inverter, P ref 、C dc 、L f And Z l The power, the direct current bus capacitance, the filter inductance and the line impedance of the constant power source of the previous inverter model are respectively equivalent.
The modification module comprises the following steps:
H vdc_eq ＝nH vdc
H i_eq ＝H i /n
K i_eq ＝K i /n
H pll_eq ＝H pll
wherein H is vdc_eq 、H i_eq And H pll_eq The control transfer functions of the direct-current voltage outer ring, the current inner ring and the phase-locked loop of the single-machine equivalent inverter are respectively K i_eq Decoupling the current inner loop of the single-machine equivalent inverter;
H vdc 、H i and H pll Respectively equivalent front invertersControl transfer function of direct-current voltage outer ring, current inner ring and phase-locked loop of model, K i Is the decoupling of the current inner loop of the equivalent pre-inverter model.
Example 2:
the grid-connected inverter main circuit is shown in FIG. 3, wherein L f Is a filter inductance, C dc Is a direct current bus capacitor, Z l Is the line impedance, u dc Is a direct current voltage, P ref The power fluctuation of the photovoltaic panel or the fan in front of the general direct current bus is the fluctuation in seconds, and the frequency band of the power electronic equipment is completely diverged, so that the fan or the photovoltaic panel can be similar to a constant power source, and can be represented by a controlled current source controlled by the ratio of power to direct current voltage; u (u) abc ,i abc Is three-phase voltage or three-phase current after filtering inductance; k (k) wf Is the step-up transformer transformation ratio. The output current of the inverter is filtered by the filter inductor, boosted by the transformer, and finally flows through the line impedance and flows into the PCC point.
The control system structure of the grid-connected inverter is shown in fig. 4, the grid-connected inverter adopts direct-current voltage control, the whole control system operates under a dq coordinate system, PWM control is adopted, a phase angle theta used for coordinate transformation is generated by phase-locked loop control, the control adopts a direct-current voltage outer loop and a current inner loop, the direct-current voltage outer loop realizes direct-current voltage stabilization and power balance, a current inner loop reference value is provided, and the current inner loop ensures the rapidity of the control system. Wherein U is dc Is the rated DC voltage amplitude, v gd ,v gq Is the value of the alternating voltage in the dq coordinate system, i gd ,i gq Is the value of the alternating current in the dq coordinate system. H vdc ,H i ，H pll The control transfer functions of the direct-current voltage outer ring, the current inner ring and the phase-locked loop are respectively, K i Is decoupling of inner loop of current, v m Is the control system outputs the modulated wave.
The operating waveforms of this grid-tied inverter are given in figure 5,
when reasonably simplifying a new energy station, the capacity of a single inverter must be amplified, but some equivalent principles must be satisfied:
(1) The DC voltage can not be changed when the inverter groups are polymerized, namely, the DC voltage is unchanged before and after polymerization;
(2) The alternating voltage before and after the polymerization is unchanged during the polymerization of the inverter group;
(3) The active power and the reactive power of the inverter are unchanged after polymerization, and the power of a PCC (point ofcommon coupling ) point is taken as the reference;
(4) The transients in the inverter group and the single machine equivalent inverter should be identical.
The single-machine equivalent model of the inverter needs to consider parameters in the system and the equivalent of line impedance besides parameters of the inverter group.
According to the principle, single-machine equivalence is carried out on n inverters, and the main circuit parameters after the equivalence are expressed by subscript 'eq'.
Power of a constant power source in front of a single-machine equivalent direct current capacitor:
P ref_eq ＝nP ref
for a single-machine equivalent direct current bus capacitor:
C dc_eq ＝nC dc
for a single machine equivalent filter inductance:
L f_eq ＝L f /n
for line impedance:
Z l_eq ＝Z l_eq /n
for a transformer, its capacity should also be multiplied by n, and its leakage reactance should be divided by n.
Summarizing, for a single machine equivalence model, power is multiplied by n, and the resistance, inductance and capacitance are processed in parallel, i.e., resistance, inductance divided by n, and capacitance multiplied by n.
For a non-per unit control system, the output modulation waveform of the control system is ensured to be unchanged in single-unit equivalence, which is the basic principle of single-unit equivalence of the control system. However, the input of the control system is changed due to the multiple change of various amounts in the single machine equivalent, so that the control parameters need to be changed correspondingly.
Firstly summarizing the change of each electric quantity in the single machine equivalent system after the main circuit parameters are changed according to the requirements. First, since the ac voltage is unchanged, but the total power is n times the original ac current. Similarly, since the dc voltage is unchanged and the power is n times, the dc current will also be n times.
With the control system shown in fig. 4, since the ac voltage is unchanged, the phase-locked loop control parameters, which have only the ac voltage as input, will not change. For the current inner loop, since the alternating current becomes n times of the original current, the input of the current inner loop is enlarged by n times, the current inner loop parameter is divided by n, which comprises H i And K i . For the DC voltage outer ring, although the DC current becomes n times, the DC capacitance becomes n times, so the DC voltage fluctuation caused by the power fluctuation of the same proportion is unchanged, namely the DC voltage outer ring input is unchanged, but the output of the DC voltage outer ring needs to be enlarged n times to keep the output of the control system unchanged because the control parameter of the current inner ring is reduced by n times, so the H needs to be enlarged vdc Enlarging by n times.
The summary is as follows:
H vdc_eq ＝nH vdc
H i_eq ＝H i /n
K i_eq ＝K i /n
H pll_eq ＝H pll
a simulation will verify the correctness of the stand-alone equivalence model. Simulation results of the single-machine equivalent model of one inverter and 4000 inverters are shown in fig. 6 to 9.
It can be seen that except that the current is 400 times, the transient processes of the voltage and the current are completely consistent, and the universality of the single machine equivalent model in time domain simulation is proved.
For the problem of small interference stability of the existing new energy station access system, an impedance method is one of the most common methods, and the single machine equivalent model provided herein also has good applicability to the application of the impedance method, and the case verification is as follows.
For example, a single inverter is formed by equating 1 inverter with 10 inverters, and the impedance comparison chart is shown in fig. 10. The red line is the impedance of 1 inverter, the blue line is the impedance of a single-machine equivalent inverter of 10 inverters, and the amplitude-frequency characteristics of two impedance curves are always 20dB (10 times) worse because the graph is a logarithmic graph, and the phase-frequency characteristics of the two impedance curves are completely the same as the theoretical deduction result, so that the method has good applicability to an impedance analysis method.
Please refer to fig. 11, which illustrates a schematic structure of a computer device according to an embodiment of the present application. The computer device 400 provided in the embodiment of the present application includes: a processor 410 and a memory 420, the memory 420 storing a computer program executable by the processor 410, which when executed by the processor 410 performs the method as described above.
The embodiment of the present application also provides a storage medium 430, on which storage medium 430 a computer program is stored which, when executed by the processor 410, performs a method as above.
The storage medium 430 may be implemented by any type or combination of volatile or nonvolatile Memory devices, such as a static random access Memory (Static Random Access Memory, SRAM), an electrically erasable Programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), an erasable Programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), a Programmable Read-Only Memory (PROM), a Read-Only Memory (ROM), a magnetic Memory, a flash Memory, a magnetic disk, or an optical disk.
In the description of the present application, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. The meaning of "a plurality of" is two or more, unless specifically defined otherwise.
In the present application, unless explicitly specified and limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communicated with the inside of two elements or the interaction relationship of the two elements. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art according to the specific circumstances.
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 present application. In this specification, schematic representations of the above terms are not necessarily for 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.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.
Claims (12)
1. The new energy station simulation optimization method is characterized by comprising the following steps of:
simplifying a single inverter model in a fan and a photovoltaic power generation field in a new energy station, and neglecting that the single inverter model is positioned at the side of the fan power generation field or the side of the photovoltaic power generation field;
the method comprises the steps of (1) equating all simplified inverter models in a new energy station into one inverter to obtain a single-machine equivalent inverter;
synchronously modifying the non-per unit control parameters of the single-machine equivalent inverter;
and performing impedance analysis and time domain simulation on the new energy station by using the single-machine equivalent inverter and the modified non-per-unit control parameters.
2. The method for optimizing new energy station simulation according to claim 1, wherein the simplifying the single inverter model in the fan and the photovoltaic power generation field in the new energy station comprises: the controlled current source controlled using the ratio of power to dc voltage represents a fan or photovoltaic panel power source.
3. The new energy station simulation optimization method according to claim 1, wherein when all the simplified inverter models in the new energy station are equivalent to one inverter, the following constraint is established:
the inverter model group equivalent is that the direct current voltage is unchanged after the single-machine equivalent inverter;
the inverter model group equivalent is that the alternating voltage is unchanged after the single-machine equivalent inverter;
the inverter model group equivalent is that the active power and the reactive power are unchanged after the single-machine equivalent inverter;
and the inverter model group equivalent is the transient state consistency after the single-machine equivalent inverter.
4. The new energy station simulation optimization method according to claim 3, wherein in the single-machine equivalent inverter:
P ref_eq ＝nP ref
C dc_eq ＝nC dc
L f_eq ＝L f /n
Z l_eq ＝Z l /n
wherein n is the number of inverter models before equivalence, P ref_eq 、C dc_eq 、L f_eq And Z l_eq Power, DC bus capacitor, filter inductance and line impedance of constant power source of single machine equivalent inverter, P ref 、C dc 、L f And Z l The power, the direct current bus capacitance, the filter inductance and the line impedance of the constant power source of the previous inverter model are respectively equivalent.
5. The new energy station simulation optimization method according to claim 4, wherein the non-per unit control parameters of the single-unit equivalent inverter are:
H vdc_eq ＝nH vdc
H i_eq ＝H i /n
K i_eq ＝K i /n
H pll_eq ＝H pll
wherein H is vdc_eq 、H i_eq And H pll_eq The control transfer functions of the direct-current voltage outer ring, the current inner ring and the phase-locked loop of the single-machine equivalent inverter are respectively K i_eq Decoupling the current inner loop of the single-machine equivalent inverter;
H vdc 、H i and H pll The control transfer functions of the direct-current voltage outer ring, the current inner ring and the phase-locked loop of the equivalent pre-inverter model are respectively K i Is the decoupling of the current inner loop of the equivalent pre-inverter model.
6. The new energy station simulation optimizing device is characterized by comprising:
the simplification module is used for simplifying a single inverter model in a fan and a photovoltaic power generation field in the new energy field station, and neglecting that the single inverter model is positioned at the side of the fan power generation field or at the side of the photovoltaic power generation field;
the equivalent module is used for equalizing all the simplified inverter models in the new energy station into one inverter to obtain a single-machine equivalent inverter;
the modification module is used for synchronously modifying the non-per unit control parameters of the single-unit equivalent inverter;
and the simulation module is used for carrying out impedance analysis and time domain simulation on the new energy station by using the single-machine equivalent inverter and the modified non-per-unit control parameters.
7. The new energy station simulation optimizing device according to claim 6, wherein the simplifying module comprises a controlled current source module, the controlled current source module represents a fan or a photovoltaic panel power source, and the power and the direct current voltage of the controlled current source module are controlled in a ratio.
8. The new energy station simulation optimizing device according to claim 6, wherein the equivalence module comprises a constraint module, and the constraint module comprises the following constraints:
the inverter model group equivalent is that the direct current voltage is unchanged after the single-machine equivalent inverter;
the inverter model group equivalent is that the alternating voltage is unchanged after the single-machine equivalent inverter;
the inverter model group equivalent is that the active power and the reactive power are unchanged after the single-machine equivalent inverter;
and the inverter model group equivalent is the transient state consistency after the single-machine equivalent inverter.
9. The new energy station simulation optimizing device according to claim 8, wherein the equivalence module comprises:
P ref_eq ＝nP ref
C dc_eq ＝nC dc
L f_eq ＝L f /n
Z l_eq ＝Z l /n
wherein n is the number of inverter models before equivalence, P ref_eq 、C dc_eq 、L f_eq And Z l_eq Power, DC bus capacitor, filter inductance and line impedance of constant power source of single machine equivalent inverter, P ref 、C dc 、L f And Z l The power, the direct current bus capacitance, the filter inductance and the line impedance of the constant power source of the previous inverter model are respectively equivalent.
10. The new energy station simulation optimizing device according to claim 9, wherein the modification module comprises:
H vdc_eq ＝nH vdc
H i_eq ＝H i /n
K i_eq ＝K i /n
H pll_eq ＝H pll
wherein H is vdc_eq 、H i_eq And H pll_eq The control transfer functions of the direct-current voltage outer ring, the current inner ring and the phase-locked loop of the single-machine equivalent inverter are respectively K i_eq Decoupling the current inner loop of the single-machine equivalent inverter;
H vdc 、H i and H pll The control transfer functions of the direct-current voltage outer ring, the current inner ring and the phase-locked loop of the equivalent pre-inverter model are respectively K i Is equivalent to the model electricity of the front inverterDecoupling of the inner stream ring.
11. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any of claims 1-5 when the computer program is executed.
12. A storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any of claims 1-5.
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060227472A1 (en) * | 2005-04-07 | 2006-10-12 | William Taylor | Inverter ground fault circuit |
| CN102185513A (en) * | 2011-05-18 | 2011-09-14 | 华北电力大学（保定） | Parallel structure and control method for photovoltaic power generation grid-connected inverter |
| US20130250635A1 (en) * | 2012-03-22 | 2013-09-26 | Seshadri Sivakumar | Control techniques for photovoltaic power plants |
| CN103825297A (en) * | 2013-12-24 | 2014-05-28 | 南方电网科学研究院有限责任公司 | Photovoltaic power station equivalence modeling system and method based on inverter control equation transformation |
| CN104659815A (en) * | 2015-02-28 | 2015-05-27 | 武汉大学 | Dynamic equivalence method of grid-connected inverter system |
| CN105356507A (en) * | 2015-11-23 | 2016-02-24 | 合肥工业大学 | Power grid impedance self-adaption based LC type grid-connected inverter dual-mode control method |
| AU2016100886A4 (en) * | 2016-06-17 | 2016-07-28 | Plasmatronics Pty Ltd | 1. A Photovoltaic solar heating system comprising an inverter capable of being used with a PV array, a load element and no other major components, specifically not requiring a battery or a connection to an electricity supply network and incorporating several innovations |
| WO2016202859A1 (en) * | 2015-06-16 | 2016-12-22 | Universite Du Luxembourg | Power inverter, control unit for power inverters and network of power inverters |
| WO2019184389A1 (en) * | 2018-03-29 | 2019-10-03 | 山东大学 | System and method for voltage-free sampling coordination control for multiple grid-connected inverters |
| CN110535178A (en) * | 2019-09-05 | 2019-12-03 | 浙江大学城市学院 | Photovoltaic based on single-particle physical model/lithium battery hybrid system energy control strategy |
| CN111490539A (en) * | 2020-04-26 | 2020-08-04 | 湖南工业大学 | Photovoltaic inverter cluster resonance suppression method based on active harmonic conductance method |
| CN113964858A (en) * | 2021-07-09 | 2022-01-21 | 浙江大学 | Three-phase inverter grid-connected control system based on dual synchronization principle |
| WO2022027722A1 (en) * | 2020-08-04 | 2022-02-10 | 西安热工研究院有限公司 | Pi and mpr-based harmonic suppression method for photovoltaic lcl grid-connected inverter |
-
2023
- 2023-05-04 CN CN202310488456.6A patent/CN116599125B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060227472A1 (en) * | 2005-04-07 | 2006-10-12 | William Taylor | Inverter ground fault circuit |
| CN102185513A (en) * | 2011-05-18 | 2011-09-14 | 华北电力大学（保定） | Parallel structure and control method for photovoltaic power generation grid-connected inverter |
| US20130250635A1 (en) * | 2012-03-22 | 2013-09-26 | Seshadri Sivakumar | Control techniques for photovoltaic power plants |
| CN103825297A (en) * | 2013-12-24 | 2014-05-28 | 南方电网科学研究院有限责任公司 | Photovoltaic power station equivalence modeling system and method based on inverter control equation transformation |
| CN104659815A (en) * | 2015-02-28 | 2015-05-27 | 武汉大学 | Dynamic equivalence method of grid-connected inverter system |
| WO2016202859A1 (en) * | 2015-06-16 | 2016-12-22 | Universite Du Luxembourg | Power inverter, control unit for power inverters and network of power inverters |
| CN105356507A (en) * | 2015-11-23 | 2016-02-24 | 合肥工业大学 | Power grid impedance self-adaption based LC type grid-connected inverter dual-mode control method |
| AU2016100886A4 (en) * | 2016-06-17 | 2016-07-28 | Plasmatronics Pty Ltd | 1. A Photovoltaic solar heating system comprising an inverter capable of being used with a PV array, a load element and no other major components, specifically not requiring a battery or a connection to an electricity supply network and incorporating several innovations |
| WO2019184389A1 (en) * | 2018-03-29 | 2019-10-03 | 山东大学 | System and method for voltage-free sampling coordination control for multiple grid-connected inverters |
| CN110535178A (en) * | 2019-09-05 | 2019-12-03 | 浙江大学城市学院 | Photovoltaic based on single-particle physical model/lithium battery hybrid system energy control strategy |
| CN111490539A (en) * | 2020-04-26 | 2020-08-04 | 湖南工业大学 | Photovoltaic inverter cluster resonance suppression method based on active harmonic conductance method |
| WO2022027722A1 (en) * | 2020-08-04 | 2022-02-10 | 西安热工研究院有限公司 | Pi and mpr-based harmonic suppression method for photovoltaic lcl grid-connected inverter |
| CN113964858A (en) * | 2021-07-09 | 2022-01-21 | 浙江大学 | Three-phase inverter grid-connected control system based on dual synchronization principle |
Non-Patent Citations (6)
| Title |
|---|
| 孙振奥;杨子龙;王一波;许洪华;: "光伏并网逆变器集群的谐振原因及其抑制方法", 《中国电机工程学报》, no. 2 * |
| 徐香菊: "计及闭环策略的并网逆变器集群阻抗特性比较分析", 《电源学报》, vol. 17, no. 5 * |
| 盛万兴;季宇;吴鸣;刘海涛;寇凌峰;: "基于改进模糊C均值聚类算法的区域集中式光伏发电系统动态分群建模", 《电网技术》, no. 10 * |
| 贾祺;严干贵;李泳霖;蔡玉汝;张华鲁;: "多光伏发电单元并联接入弱交流系统的稳定性分析", 《电力系统自动化》, no. 03 * |
| 闫凯;张保会;瞿继平;吴兴全;: "光伏发电系统暂态建模与等值", 《电力系统保护与控制》, no. 1 * |
| 韩华春，李强: "基于自适应选取下垂系数的多储能联合电压源协同调频方法", 《电网与清洁能源》, vol. 39, no. 3 * |
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