CN112928751B - New energy power grid-connected equipment configuration method based on robust optimization - Google Patents
New energy power grid-connected equipment configuration method based on robust optimization Download PDFInfo
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- CN112928751B CN112928751B CN202110142902.9A CN202110142902A CN112928751B CN 112928751 B CN112928751 B CN 112928751B CN 202110142902 A CN202110142902 A CN 202110142902A CN 112928751 B CN112928751 B CN 112928751B
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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
- H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
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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
- 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
-
- 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
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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
Abstract
The invention provides a new energy power grid connection equipment configuration method based on robust optimization. The method comprises the following steps: establishing a topology circuit all-condition model based on performance parameters, equipment parameters and energy parameters, and analyzing the coupling relation between device parameters and modulation modes by using the topology circuit all-condition model; and establishing a first-stage modulation mode optimization model and a second-stage device parameter robust optimization model by nested optimization, respectively completing the first-stage modulation mode optimization and the second-stage device parameter robust optimization, realizing interactive iteration between the two stages, obtaining the performance index range of the device parameters, and outputting the device meeting the conditions according to the performance index range of the device parameters.
Description
Technical Field
The invention belongs to the technical field of new energy grid-connected power generation, and provides a configuration method based on robust optimization aiming at new energy grid-connected equipment.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The topology design is a key for realizing the efficient and stable operation of the grid-connected converter, and the reasonable selection of the device parameters is the core of the topology design, but the topology circuit comprises a plurality of different types of power electronic elements, the integration forms are complex and various, the quantity is numerous, and strong coupling exists among different device parameters. Therefore, device selection, capacity and parameter setting are great challenges for topological optimization of new energy power generation grid-connected equipment. However, the inherent uncertainty of renewable energy sources leads to the power output of the new energy power generation system being more complex and variable, the coupling relation between the device parameters and the operation conditions is deepened, and the difficulty of device parameter configuration is increased. Therefore, to solve the problem of uncertainty of renewable energy sources, the number of devices is often required to be increased, but the economy is poor.
Disclosure of Invention
In order to solve the problems, the invention provides a new energy power grid connection equipment configuration method based on robust optimization.
In order to solve the problems, the invention adopts the following technical scheme:
the first aspect of the invention provides a new energy power grid connection equipment configuration method based on robust optimization.
A new energy power grid-connected equipment configuration method based on robust optimization comprises the following steps:
establishing a topology circuit all-condition model based on performance parameters, equipment parameters and energy parameters, and analyzing the coupling relation between device parameters and modulation modes by using the topology circuit all-condition model;
and establishing a first-stage modulation mode optimization model and a second-stage device parameter robust optimization model by nested optimization, respectively completing the first-stage modulation mode optimization and the second-stage device parameter robust optimization, realizing interactive iteration between the two stages, obtaining the performance index range of the device parameters, and outputting the device meeting the conditions according to the performance index range of the device parameters.
A second aspect of the present invention provides a computer-readable storage medium.
A computer readable storage medium having stored thereon a computer program which when executed by a processor realizes the steps in the new energy grid-tie equipment configuration method based on robust optimization as described in the first aspect.
A third aspect of the invention provides a computer device.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps in the new energy grid-tie equipment configuration method based on robust optimization as described in the first aspect when the program is executed.
Compared with the prior art, the invention has the beneficial effects that:
the invention adopts the idea of nested optimization, establishes a two-stage optimization configuration model, and realizes interactive iteration between the two stages, thereby obtaining the configuration scheme of the device.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention.
FIG. 1 is a topological circuit diagram of new energy grid-connected equipment;
FIG. 2 is a logic relationship diagram of a double-layer optimization configuration method based on robust optimization;
fig. 3 is a schematic diagram of a new energy power grid connection equipment parameter configuration method based on robust optimization.
The specific embodiment is as follows:
the invention will be further described with reference to the drawings and examples.
It should be noted that the following detailed description is illustrative and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present invention. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
Fig. 1 is a topological circuit diagram of a new energy grid-connected equipment, as shown in fig. 1: the device is composed of a power electronic converter topology part, a filter part, an EMI filter part and a controller part.
Based on the circuit structure, the invention provides a new energy power grid connection equipment configuration method based on robust optimization.
Example 1
The embodiment provides a new energy power grid connection equipment configuration method based on robust optimization, as shown in fig. 2-3.
A new energy power grid-connected equipment configuration method based on robust optimization fully considers uncertainty of renewable energy, takes performance parameters, equipment parameters and energy parameters as input, establishes a topological circuit full-working-condition model, further analyzes coupling relation between device parameters and modulation modes, adopts a nested optimization idea, establishes a two-stage optimization configuration model, namely a first-stage modulation mode optimization model and a second-stage device parameter robust optimization model, respectively completes the first-stage modulation mode optimization and the second-stage device parameter robust optimization, realizes interactive iteration between the two stages, obtains a device parameter performance index range, and outputs a device meeting the conditions according to the performance index range of the device parameters.
Optimizing the first-stage modulation mode, comprising: based on the determined topology architecture, a modulation strategy feasible set conforming to the selected topology condition is constructed, and under the constraint of maximum efficiency, grid-connected current harmonic requirement and direct current voltage utilization rate, based on the optimized target value of the next stage, the optimal modulation strategy is selected from the modulation feasible set, and the modulation strategy is transferred to the next stage.
Wherein the optimal target values for the next stage include efficiency and cost.
Robust optimization of second level device parameters, comprising:
step (1): the source nuclear uncertainty interval is determined based on renewable energy yield prediction and random distribution characteristics.
Taking a photovoltaic system as an example, the output uncertainty interval is shown as the following formula:
p pv,foc (t)(1-α pv,red )＜p pv (t)＜p pv,foc (t)(1+α pv,inc ) (1)
wherein: p is p pv Solar energy (pv) at time t; p is p pv,foc Representing a predicted value at time t; alpha pv,red And alpha pv,inc The minimum deviation degree and the maximum deviation degree are respectively determined according to the random model, the values are between 0 and 1, and the output change of the renewable energy source is within the range of the interval.
Step (2): and acquiring a decision variable and an optimization target, establishing a min-max robust optimization model considering an uncertain interval of renewable energy, and determining the ranges of the decision variable interval and the renewable energy output interval according to the full-working-condition model of the topological circuit and the uncertain interval.
At rated voltage (P) D ) Rated current (I) D ) Junction temperature (T) J ) And the decision variables of device parameter optimization are taken as optimization targets, efficiency, cost, weight and volume are selected, and a min-max robust optimization model considering the uncertain interval of renewable energy sources is established:
wherein: a refers to decision variables in a unified way; w represents renewable energy output; meanwhile, according to the full-working-condition model and the uncertain interval, the change ranges A and W of the full-working-condition model and the uncertain interval are respectively given. The uncertain intervals comprise a source nuclear uncertain interval and a renewable energy source output uncertain interval.
Step (3): solving the min-max robust optimization model which is described in the step (2) and accounts for the uncertain interval of renewable energy sources by adopting a two-stage relaxation algorithm to obtain the performance index under the worst influence of the output of the renewable energy sources; and feeding back the optimal configuration result to the upper modulation mode optimizing layer.
Considering the problem that robust optimization belongs to nonlinear programming and is difficult to solve, a two-stage relaxation algorithm with higher calculation efficiency is adopted to solve the model (2), and the performance index under the worst influence of the renewable energy output is obtained. And simultaneously, feeding back the optimal configuration result to the upper-level modulation mode optimizing layer.
Wherein, the performance index under the worst influence of renewable energy source output includes: the rated voltage, rated current and junction temperature of the device are under the worst influence of the renewable energy source output.
Example two
The present embodiment provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps in the new energy grid-connected equipment configuration method based on robust optimization as described in embodiment one.
Example III
The embodiment provides a computer device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the steps in the new energy power grid connection equipment configuration method based on the robust optimization in the first embodiment when executing the program.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random access Memory (Random AccessMemory, RAM), or the like.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A new energy power grid connection equipment configuration method based on robust optimization is characterized by comprising the following steps:
establishing a full-working-condition model of power grid voltage, inductance, resistance, a switch and an input source based on performance parameters, equipment parameters and energy parameters, and analyzing the coupling relation between device parameters and a modulation mode by using the full-working-condition model of the power grid voltage, the inductance, the resistance, the switch and the input source;
the method comprises the steps of adopting nested optimization, establishing a first-stage modulation mode optimization model and a second-stage device parameter robust optimization model, respectively completing the first-stage modulation mode optimization and the second-stage device parameter robust optimization, realizing interactive iteration between two stages, obtaining a performance index range of device parameters, and outputting devices meeting the conditions according to the performance index range of the device parameters;
the second-stage device parameter robust optimization includes:
step 1: determining a source core uncertainty interval based on renewable energy output prediction and random distribution characteristics;
step 2: acquiring a decision variable and an optimization target, establishing a min-max robust optimization model for taking into account an uncertain interval of renewable energy sources, and determining the ranges of the decision variable interval and the output interval of the renewable energy sources according to the all-condition model of the power grid voltage, the inductance, the resistance, the switch and the input source and the uncertain interval;
at rated voltage P D Rated current I D Junction temperature T J For decision variables of device parameter optimization, selecting efficiency, cost, weight and volume as optimization targets, and establishing a min-max robust optimization model considering a renewable energy uncertain interval:
wherein: a refers to decision variables in a unified way; w represents renewable energy output; p is p pv Solar pv at time t; meanwhile, according to the full-working-condition model and the uncertain interval, a change range A and a change range W of the full-working-condition model and the uncertain interval are respectively given;
the uncertain interval comprises a source core uncertain interval and a renewable energy source output uncertain interval;
step 3: solving the min-max robust optimization model which is described in the step 2 and accounts for the uncertain interval of the renewable energy source by adopting a two-stage relaxation algorithm to obtain the performance index under the worst influence of the output of the renewable energy source; and feeding back the optimal configuration result to the upper modulation mode optimizing layer.
2. The new energy grid-connected equipment configuration method based on robust optimization according to claim 1, wherein the first-stage modulation mode optimization comprises: based on the determined topology architecture, a modulation strategy feasible set conforming to the selected topology condition is constructed, and under the constraint of maximum efficiency, grid-connected current harmonic requirement and direct current voltage utilization rate, based on the optimized target value of the next stage, the optimal modulation strategy is selected from the modulation feasible set, and the modulation strategy is transferred to the next stage.
3. The new energy grid-connected equipment configuration method based on robust optimization according to claim 2, wherein the optimization target values of the next stage include efficiency and cost.
4. The new energy grid-connected equipment configuration method based on robust optimization according to claim 1, wherein the performance index under the worst influence of the renewable energy output comprises: the rated voltage, rated current and junction temperature of the device are under the worst influence of the renewable energy source output.
5. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the steps of the new energy grid-tie equipment configuration method based on robust optimization as claimed in any one of claims 1-4.
6. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps in the new energy grid-tie equipment configuration method based on robust optimization as claimed in any one of claims 1-4 when the program is executed.
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