CN118137452A - Method, device, equipment and storage medium for selecting key variables of photovoltaic cluster - Google Patents
Method, device, equipment and storage medium for selecting key variables of photovoltaic cluster 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
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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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Abstract
The invention relates to the technical field of power grids, and discloses a key variable selection method, device and equipment of a photovoltaic cluster and a storage medium. The method comprises the following steps: acquiring voltage increment corresponding to each bus under reactive fluctuation of the photovoltaic cluster, and determining a first target bus according to each voltage increment; acquiring voltage change rates corresponding to all buses, and acquiring active power change rates corresponding to all branches in all buses; and acquiring a second target bus and a target branch according to the voltage change rate corresponding to each bus and the active power change rate corresponding to each branch. According to the technical scheme, the most sensitive bus and branch of the photovoltaic cluster influence output are selected through screening the bus influenced by reactive power fluctuation of the photovoltaic cluster and according to the bus voltage change rate and the branch power change rate of cluster output change, so that the data quantity of key variables can be reduced, and a reference basis can be provided for grid connection of the photovoltaic cluster.
Description
Technical Field
The present invention relates to the field of power grid technologies, and in particular, to a method, an apparatus, a device, and a storage medium for selecting key variables of a photovoltaic cluster.
Background
The large-scale photovoltaic cluster access power system is an important direction of the current development of the power system, and the centralized grid connection of the large-scale photovoltaic cluster seriously threatens the static safety of the power grid operation due to the randomness and fluctuation of the photovoltaic. In particular, short-term, large-amplitude fluctuations in the photovoltaic may cause significant fluctuations in the operating state of the electrical power system containing a high proportion of photovoltaic, thereby threatening the stability of the system.
In order to monitor the impact of photovoltaic power fluctuations on the grid, researchers at home and abroad have proposed a set of thousands of high-dimensional state variables to describe the impact of photovoltaic clusters on the system operating state, with key variables that are greatly affected by the photovoltaic clusters mainly coming from the bus voltage and the power of the branches.
At present, in the existing key variable selection method of the photovoltaic cluster, all bus voltage and branch power are generally selected as key variables, and a photovoltaic cluster system is generally complex, so that the data volume of the key variables is huge, and grid connection judgment of the photovoltaic cluster is not facilitated.
Disclosure of Invention
The invention provides a key variable selection method, device, equipment and storage medium for a photovoltaic cluster, which can acquire the most sensitive bus and branch of the influence output of the photovoltaic cluster, can reduce the data volume of the key variable and can provide a reference basis for grid connection of the photovoltaic cluster.
According to an aspect of the present invention, there is provided a key variable selection method for a photovoltaic cluster, including:
Acquiring voltage increment corresponding to each bus under reactive fluctuation of the photovoltaic cluster, and determining a first target bus with larger reactive power change rate according to the voltage increment corresponding to each bus;
When the output of the photovoltaic cluster changes from an initial running state to a critical limit state, acquiring the voltage change rate corresponding to each bus and the active power change rate corresponding to each branch in each bus;
And acquiring a second target bus and a target branch with larger influence of the active output change of the photovoltaic cluster according to the voltage change rate corresponding to each bus and the active power change rate corresponding to each branch.
According to another aspect of the present invention, there is provided a key variable selection device for a photovoltaic cluster, including:
The first target bus determining module is used for obtaining voltage increment corresponding to each bus under reactive fluctuation of the photovoltaic cluster and determining a first target bus with larger reactive power change rate according to the voltage increment corresponding to each bus;
the voltage change rate acquisition module is used for acquiring the voltage change rate corresponding to each bus and the active power change rate corresponding to each branch in each bus when the output of the photovoltaic cluster changes from an initial running state to a critical limit state;
The second target bus acquisition module is used for acquiring a second target bus and a target branch circuit with larger influence of active output change of the photovoltaic cluster according to the voltage change rate corresponding to each bus and the active power change rate corresponding to each branch circuit.
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 selecting a key variable of a photovoltaic cluster 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 method for selecting a key variable of a photovoltaic cluster according to any of the embodiments of the present invention when executed.
According to the technical scheme, the first target bus with larger reactive power change rate is determined by acquiring the voltage increment corresponding to each bus under reactive fluctuation of the photovoltaic cluster and according to the voltage increment corresponding to each bus; when the output of the photovoltaic cluster changes from an initial running state to a critical limit state, acquiring voltage change rates corresponding to all buses, and acquiring active power change rates corresponding to all branches in all buses; according to the voltage change rate corresponding to each busbar and the active power change rate corresponding to each branch, acquiring a second target busbar and a target branch with larger influence of active power output change of the photovoltaic cluster; the most sensitive bus and branch of the photovoltaic cluster influencing output are selected by screening the bus influenced by reactive power fluctuation of the photovoltaic cluster and according to the bus voltage change rate and the branch power change rate of the cluster output change, the most sensitive bus and branch of the photovoltaic cluster influencing output can be obtained, the data quantity of key variables can be reduced, and a reference basis can be provided for grid connection of the photovoltaic cluster.
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. 1A is a flowchart of a method for selecting key variables of a photovoltaic cluster according to a first embodiment of the present invention;
FIG. 1B is a schematic diagram of a network diagram according to a first embodiment of the present invention;
Fig. 2 is a schematic structural diagram of a key variable selecting device of a photovoltaic cluster according to a second embodiment of the present invention;
Fig. 3 is a schematic structural diagram of an electronic device implementing a method for selecting key variables of a photovoltaic cluster according to an 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," "target," and the like in the description and claims of the present invention and in the above figures 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. 1A is a flowchart of a method for selecting a key variable of a photovoltaic cluster according to an embodiment of the present invention, where the method may be applicable to a case of screening a key variable of the photovoltaic cluster that affects an operation state of an electric power system, and the method may be performed by a key variable selecting device of the photovoltaic cluster, where the key variable selecting device of the photovoltaic cluster may be implemented in a form of hardware and/or software, and typically, the key variable selecting device of the photovoltaic cluster may be configured in an electronic device, and typically, the electronic device may be a computer device or a server. As shown in fig. 1A, the method includes:
S110, acquiring voltage increment corresponding to each bus under reactive fluctuation of the photovoltaic cluster, and determining a first target bus with larger reactive power change rate according to the voltage increment corresponding to each bus.
In this embodiment, when key variable selection is performed, a bus voltage with high sensitivity may be selected first; specifically, when the reactive power of the photovoltaic cluster fluctuates, calculating voltage increment of each node aiming at any bus of the photovoltaic grid-connected point respectively, and accumulating the voltage increment of each node to obtain the voltage increment corresponding to each bus; then, the voltage increment corresponding to each bus can be compared with a preset increment threshold, and if the voltage increment corresponding to the current bus is determined to be greater than or equal to the preset increment threshold, the reactive power change rate of the current bus can be determined to be greater, and the current bus can be used as a first target bus; if the voltage increment corresponding to the current bus is determined to be smaller than the preset increment threshold, the current bus can be skipped. Thus, each first target bus with a large reactive power change rate can be obtained by screening all buses.
S120, when the output of the photovoltaic cluster changes from an initial running state to a critical limit state, obtaining the voltage change rate corresponding to each bus, and obtaining the active power change rate corresponding to each branch in each bus.
In this embodiment, after the high-sensitivity busbar voltage is selected, the high-sensitivity branch power affected by the output of the photovoltaic cluster can be selected; specifically, when the output force of the photovoltaic cluster changes from an initial running state to a critical limit state, calculating to obtain a voltage change rate corresponding to each bus, wherein the larger the absolute value of the voltage change rate is, the larger the influence of the output force of the photovoltaic cluster on the bus voltage is; then, for each branch connected with each bus, the corresponding active power change rate is calculated, and the larger the absolute value of the active power change rate is, the larger the influence of the photovoltaic cluster output on the branch is.
S130, acquiring a second target bus and a target branch with larger influence of active output change of the photovoltaic cluster according to the voltage change rate corresponding to each bus and the active power change rate corresponding to each branch.
Specifically, whether the voltage change rate corresponding to each bus is larger than a preset voltage change rate threshold value can be judged, if yes, the current bus can be determined to be a second target bus with larger influence of the active power output change of the photovoltaic cluster; meanwhile, whether the change rate of the active power corresponding to each branch is larger than a preset change rate threshold value can be judged, and if yes, the current branch can be determined to be the target branch. Or calculating the ratio of the absolute value of the voltage change rate corresponding to each bus to the maximum value of the voltage change rate, normalizing the ratio, and arranging the normalized ratio in ascending order; then, extracting a plurality of normalized ratios greater than a set threshold value from the queue, and determining a bus corresponding to each extracted normalized ratio as a second target bus; similarly, the same method can be adopted to screen and obtain the target branch.
In this embodiment, the first target bus, the second target bus and the target branch may be obtained through screening, and determined as key variables of the photovoltaic cluster, and grid-connected evaluation may be performed on the photovoltaic cluster based on each key variable, so as to determine the state influence on the power system after grid connection of the photovoltaic cluster.
Optionally, obtaining the second target bus and the target branch with larger influence of the active output change of the photovoltaic cluster according to the voltage change rate corresponding to each bus and the active power change rate corresponding to each branch may include:
Obtaining the maximum voltage change rate in the absolute value of each voltage change rate, and calculating to obtain a first ratio of the absolute value of each voltage change rate to the maximum voltage change rate;
Normalizing the first ratios to obtain normalized first ratios, and obtaining the second target bus according to the normalized first ratios;
Obtaining the maximum active power change rate in the absolute values of the active power change rates, and calculating to obtain a second ratio of the absolute value of the active power change rate to the maximum active power change rate;
And carrying out normalization processing on each second ratio to obtain each normalized second ratio, and obtaining the target branch according to each normalized second ratio.
Specifically, assuming that the voltage change rate corresponding to the bus i is K i, recording that K max is the maximum value in |k i |, namely, the maximum voltage change rate, carrying out 0-1 normalization on { |k i|/Kmax } to obtain each normalized first ratio, and carrying out ascending order on the normalized first ratios to obtain a set { beta i }, wherein beta 1 is the minimum value, beta n is the maximum value, and the conditions are satisfiedN represents the number of bus bars. Then, each β value is compared with a set threshold k 2, if/>The bus corresponding to the first ratio normalized from the q-th to the n-th is considered to be the second target bus.
Further, let the active power change rate corresponding to the branch k of the bus i be R ik, and record R max as the maximum value in |r ik |, that is, the maximum active power change rate; then, 0 to 1 normalization is carried out on { |R ik|/Rmax }, each normalized second ratio is obtained, and the normalized second ratios are arranged in an ascending order to obtain a set { gamma k }, wherein gamma 1 is the minimum value, gamma l is the maximum value, and the conditions are satisfiedL represents the number of branches. Finally, each gamma value is compared with a set threshold k 3, if/>The branch corresponding to the second ratio from the t-th to the l-th normalized is considered as the target branch.
According to the technical scheme, the first target bus with larger reactive power change rate is determined by acquiring the voltage increment corresponding to each bus under reactive fluctuation of the photovoltaic cluster and according to the voltage increment corresponding to each bus; when the output of the photovoltaic cluster changes from an initial running state to a critical limit state, acquiring voltage change rates corresponding to all buses, and acquiring active power change rates corresponding to all branches in all buses; according to the voltage change rate corresponding to each busbar and the active power change rate corresponding to each branch, acquiring a second target busbar and a target branch with larger influence of active power output change of the photovoltaic cluster; the most sensitive bus and branch of the photovoltaic cluster influencing output are selected by screening the bus influenced by reactive power fluctuation of the photovoltaic cluster and according to the bus voltage change rate and the branch power change rate of the cluster output change, the most sensitive bus and branch of the photovoltaic cluster influencing output can be obtained, the data quantity of key variables can be reduced, and a reference basis can be provided for grid connection of the photovoltaic cluster.
In another optional implementation manner of this embodiment, obtaining the second target busbar and the target branch with a larger influence of the active output change of the photovoltaic cluster according to the voltage change rate corresponding to each busbar and the active power change rate corresponding to each branch may include:
Generating a network diagram corresponding to the photovoltaic cluster according to the voltage change rate corresponding to each bus and the active power change rate corresponding to each branch;
Wherein each vertex in the network diagram corresponds to each bus, a connecting line between different vertexes corresponds to each branch, and a distance between different vertexes is determined based on a voltage change rate corresponding to each bus and an active power change rate corresponding to each branch;
And carrying out optimal path searching on the network diagram to obtain a second target bus and a target branch which are greatly influenced by the active output change of the photovoltaic cluster.
In the embodiment, the most sensitive bus and the branches thereof can be solved by using an optimal searching method of graph theory; specifically, let the vertexes in the graph be the buses of the photovoltaic clusters, and let the connection lines between the vertexes be branches of the buses, so as to construct a network graph; then, a preset optimal path searching method is adopted to find an optimal path corresponding to the network diagram, a bus corresponding to each vertex in the optimal path can be determined to be a second target bus, and a branch corresponding to each connecting line in the optimal path can be determined to be a target branch. The present embodiment may not be particularly limited to the optimum path search method.
In another optional implementation manner of this embodiment, performing an optimal path search on the network map to obtain a second target busbar and a target branch with a larger influence of the active output variation of the photovoltaic cluster may include:
obtaining the distance between a current vertex and each adjacent vertex, and determining a target adjacent vertex with the maximum distance between the current vertex and each adjacent vertex;
And determining a generatrix corresponding to the target adjacent vertex as the second target generatrix, and determining a branch corresponding to a connecting line between the current vertex and the target adjacent vertex as the target branch.
Optionally, obtaining the distance between the current vertex and each adjacent vertex may include:
Based on the formula d= |k i|/Kmax×|Rik|/Rmax, determining the distance d between the current vertex and each adjacent vertex according to the voltage change rate K i corresponding to the bus i and the active power change rate R ik corresponding to the branch K, wherein K max represents the maximum voltage change rate and R max represents the maximum active power change rate.
In a specific example, performing the best path search on the network map may include the steps of:
Step 1, a set S only comprising source points is established, namely, S= { v s},vs distance is 0, a set U comprising other vertexes except v s is established, namely, U= { U }, and if U is not an out-edge adjacent vertex of v s, the weight value of < U, v s > is infinity; step 2, selecting an adjacent top point a with the largest distance from U, adding a into S, and simultaneously removing a from U; step 3, taking a as a newly considered intermediate point, and updating the distance from each vertex in U to a source point v s; for example, if the distance from the source point v s to the vertex u (passing the vertex a) is longer than the original distance (not passing the vertex a), the distance value of the vertex u is modified, that is, dist [ u ] = max (dist [ u ], d+w [ a ] [ u ]), where dist [ u ] represents the distance value of the vertex u, D represents the distance from the source point to the vertex u, w [ a ] [ u ] represents the weight of the vertex a to the vertex u, and max () represents the solution maximum function; and 4, repeating the step 1 and the step 2 until all vertexes are contained in the S, and outputting the vertex and the branch with the largest result.
In another optional implementation manner of this embodiment, obtaining the voltage increment corresponding to each bus under reactive fluctuation of the photovoltaic cluster may include:
based on the formula DeltaV ij＝Sij×ΔQj and Obtaining a voltage increment H i corresponding to each bus;
wherein DeltaV ij represents the voltage increment among different nodes of the bus, S ij represents the change sensitivity of reactive power, deltaQ j represents the reactive increment of the nodes, j represents the node index, and m represents the number of the nodes.
Specifically, when calculating the voltage increment corresponding to each bus, the voltage increment corresponding to each node in the bus can be calculated based on the formula DeltaV ij＝Sij×ΔQj; then, can be based onAnd accumulating the voltage increment corresponding to each node, and taking the sum value as the final voltage increment corresponding to each bus i.
In another optional implementation manner of this embodiment, determining, according to the voltage increment corresponding to each bus, the first target bus with a larger reactive power change rate may include:
Obtaining the maximum voltage increment in each voltage increment, and calculating to obtain a third ratio of each voltage increment to the maximum voltage increment;
And carrying out normalization processing on each third ratio to obtain each normalized third ratio, and obtaining the first target bus according to each normalized third ratio.
Specifically, when determining the first target bus, H max may be recorded as the largest value in { H i }, that is, the maximum voltage increment; then, the third ratio { H i/Hmax } of the voltage increment and the maximum voltage increment can be normalized from 0 to 1 to obtain each normalized third ratio, and the normalized third ratios are arranged in an ascending order to obtain a set { alpha i }, wherein alpha 1 is the minimum value, alpha n is the maximum value, and the conditions are satisfiedFinally, each alpha value is compared with a set threshold k 1, if it is determined/>The bus corresponding to the p-th to n-th alpha values is considered to be the bus with larger reactive power change rate of the photovoltaic cluster, namely the first target bus.
In a specific implementation manner of this embodiment, an analysis is performed by taking a photovoltaic cluster in a certain area as an example, a network diagram corresponding to the photovoltaic cluster may be shown in fig. 1B, where there are 14 buses in the diagram, v i, i=1, 2, …, and 14 are respectively used, and branches are respectively described by e k, and k=1, 2, …, and 24. Then, the variation H of each busbar voltage under the reactive power fluctuation of the photovoltaic cluster is calculated, for example, as shown in table 1, when the threshold k 1 is set to 0.7, the busbars corresponding to the variation H4, H5, H8, H9, H10 and H11 can be determined as the busbars greatly affected by the reactive power variation of the photovoltaic cluster, that is, the first target busbar.
TABLE 1 variation of bus voltages
Further, the change rate |k i | of each busbar voltage may be calculated, for example, as shown in table 2, when the threshold K 2 is set to 0.6, the busbars corresponding to the change rates |k 1|、|K5|、|K6|、|K7|、|K9 | and |k 11 | may be determined as the busbars that are greatly affected by the change of the active power of the photovoltaic cluster, that is, the second target busbar.
TABLE 2 bus voltage change Rate
Finally, the power change rate of the bus-bar branch is calculated |r ik |, and for convenience of representation, the power change rate of the adjacent node branch is represented by the branch symbol e k, and the values thereof are shown in table 3. When the threshold k 3 is set to 0.3, bus branches corresponding to e 3、e4、e5、e17 and e 19 can be determined as branches that are greatly affected by the active power change of the photovoltaic cluster, namely target branches. From this, the bus bar and its branches that are most affected by the photovoltaic cluster output can be found to be { e5, v5, e12, v10, e18, v12}.
TABLE 3 bus branch power rate of change
In the embodiment, a sensitivity analysis method is introduced to screen and obtain a bus affected by reactive power fluctuation of the photovoltaic cluster, a key variable set of a system is selected according to the voltage change rate of the bus and the power change rate of a branch circuit with the change of the cluster output, and the most sensitive bus and branch circuit of the photovoltaic cluster affecting the output are obtained by utilizing an optimal searching mode of graph theory.
Example two
Fig. 2 is a schematic structural diagram of a key variable selection device of a photovoltaic cluster according to a second embodiment of the present invention. As shown in fig. 2, the apparatus includes: a first target bus determination module 210, a voltage change rate acquisition module 220, and a second target bus acquisition module 230; wherein,
The first target bus determining module 210 is configured to obtain voltage increments corresponding to each bus under reactive power fluctuation of the photovoltaic cluster, and determine a first target bus with a larger reactive power change rate according to the voltage increment corresponding to each bus;
the voltage change rate obtaining module 220 is configured to obtain a voltage change rate corresponding to each bus and obtain an active power change rate corresponding to each branch in each bus when the output of the photovoltaic cluster changes from an initial operation state to a critical limit state;
The second target bus obtaining module 230 is configured to obtain, according to the voltage change rate corresponding to each bus and the active power change rate corresponding to each branch, a second target bus and a target branch, where the active power change of the photovoltaic cluster affects the second target bus and the target branch greatly.
According to the technical scheme, the first target bus with larger reactive power change rate is determined by acquiring the voltage increment corresponding to each bus under reactive fluctuation of the photovoltaic cluster and according to the voltage increment corresponding to each bus; when the output of the photovoltaic cluster changes from an initial running state to a critical limit state, acquiring voltage change rates corresponding to all buses, and acquiring active power change rates corresponding to all branches in all buses; according to the voltage change rate corresponding to each busbar and the active power change rate corresponding to each branch, acquiring a second target busbar and a target branch with larger influence of active power output change of the photovoltaic cluster; the most sensitive bus and branch of the photovoltaic cluster influencing output are selected by screening the bus influenced by reactive power fluctuation of the photovoltaic cluster and according to the bus voltage change rate and the branch power change rate of the cluster output change, the most sensitive bus and branch of the photovoltaic cluster influencing output can be obtained, the data quantity of key variables can be reduced, and a reference basis can be provided for grid connection of the photovoltaic cluster.
Optionally, the second target bus obtaining module 230 is specifically configured to obtain a maximum voltage change rate in the absolute values of the voltage change rates, and calculate a first ratio of the absolute value of the voltage change rate to the maximum voltage change rate;
Normalizing the first ratios to obtain normalized first ratios, and obtaining the second target bus according to the normalized first ratios;
Obtaining the maximum active power change rate in the absolute values of the active power change rates, and calculating to obtain a second ratio of the absolute value of the active power change rate to the maximum active power change rate;
And carrying out normalization processing on each second ratio to obtain each normalized second ratio, and obtaining the target branch according to each normalized second ratio.
Optionally, the second target bus obtaining module 230 is specifically configured to generate a network map corresponding to the photovoltaic cluster according to a voltage change rate corresponding to each bus and an active power change rate corresponding to each branch;
Wherein each vertex in the network diagram corresponds to each bus, a connecting line between different vertexes corresponds to each branch, and a distance between different vertexes is determined based on a voltage change rate corresponding to each bus and an active power change rate corresponding to each branch;
And carrying out optimal path searching on the network diagram to obtain a second target bus and a target branch which are greatly influenced by the active output change of the photovoltaic cluster.
Optionally, the second target bus obtaining module 230 is specifically configured to obtain a distance between a current vertex and each adjacent vertex, and determine a target adjacent vertex having a maximum distance from the current vertex in each adjacent vertex;
And determining a generatrix corresponding to the target adjacent vertex as the second target generatrix, and determining a branch corresponding to a connecting line between the current vertex and the target adjacent vertex as the target branch.
Optionally, the second target bus obtaining module 230 is specifically configured to determine, based on a formula d= |k i|/Kmax×|Rik|/Rmax, a distance d between the current vertex and each adjacent vertex according to a voltage change rate K i corresponding to the bus i and an active power change rate R ik corresponding to the branch K, where K max represents a maximum voltage change rate, and R max represents a maximum active power change rate.
Optionally, the first target bus determination module 210 is specifically configured to base on the formulas Δv ij＝Sij×ΔQj and Δv ij＝Sij×ΔQj And obtaining a voltage increment H i corresponding to each bus, wherein DeltaV ij represents the voltage increment among different nodes of the bus, S ij represents the change sensitivity of reactive power, deltaQ j represents the reactive increment of the node, j represents the node index, and m represents the number of the nodes.
Optionally, the first target bus determining module 210 is specifically configured to obtain a maximum voltage increment in each voltage increment, and calculate a third ratio of each voltage increment to the maximum voltage increment;
And carrying out normalization processing on each third ratio to obtain each normalized third ratio, and obtaining the first target bus according to each normalized third ratio.
The key variable selection device of the photovoltaic cluster provided by the embodiment of the invention can execute the key variable selection method of the photovoltaic cluster provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example III
Fig. 3 shows a schematic diagram of an electronic device 30 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. 3, the electronic device 30 includes at least one processor 31, and a memory, such as a Read Only Memory (ROM) 32, a Random Access Memory (RAM) 33, etc., communicatively connected to the at least one processor 31, wherein the memory stores a computer program executable by the at least one processor, and the processor 31 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 32 or the computer program loaded from the storage unit 38 into the Random Access Memory (RAM) 33. In the RAM 33, various programs and data required for the operation of the electronic device 30 may also be stored. The processor 31, the ROM 32 and the RAM 33 are connected to each other via a bus 34. An input/output (I/O) interface 35 is also connected to bus 34.
Various components in electronic device 30 are connected to I/O interface 35, including: an input unit 36 such as a keyboard, a mouse, etc.; an output unit 37 such as various types of displays, speakers, and the like; a storage unit 38 such as a magnetic disk, an optical disk, or the like; and a communication unit 39 such as a network card, modem, wireless communication transceiver, etc. The communication unit 39 allows the electronic device 30 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 31 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 31 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 31 performs the various methods and processes described above, such as the key variable selection method of the photovoltaic cluster.
In some embodiments, the method of key variable selection of a photovoltaic cluster may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 38. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 30 via the ROM 32 and/or the communication unit 39. When the computer program is loaded into RAM 33 and executed by processor 31, one or more steps of the above-described method of selecting a key variable of a photovoltaic cluster may be performed. Alternatively, in other embodiments, the processor 31 may be configured to perform the key variable selection method of the photovoltaic cluster in any other suitable way (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 for selecting key variables of a photovoltaic cluster, comprising:
Acquiring voltage increment corresponding to each bus under reactive fluctuation of the photovoltaic cluster, and determining a first target bus with larger reactive power change rate according to the voltage increment corresponding to each bus;
When the output of the photovoltaic cluster changes from an initial running state to a critical limit state, acquiring the voltage change rate corresponding to each bus and the active power change rate corresponding to each branch in each bus;
And acquiring a second target bus and a target branch with larger influence of the active output change of the photovoltaic cluster according to the voltage change rate corresponding to each bus and the active power change rate corresponding to each branch.
2. The method of claim 1, wherein obtaining a second target busbar and a target branch having a greater influence of active power output variation of a photovoltaic cluster according to the voltage variation rate corresponding to each busbar and the active power variation rate corresponding to each branch comprises:
Obtaining the maximum voltage change rate in the absolute value of each voltage change rate, and calculating to obtain a first ratio of the absolute value of each voltage change rate to the maximum voltage change rate;
Normalizing the first ratios to obtain normalized first ratios, and obtaining the second target bus according to the normalized first ratios;
Obtaining the maximum active power change rate in the absolute values of the active power change rates, and calculating to obtain a second ratio of the absolute value of the active power change rate to the maximum active power change rate;
And carrying out normalization processing on each second ratio to obtain each normalized second ratio, and obtaining the target branch according to each normalized second ratio.
3. The method of claim 1, wherein obtaining a second target busbar and a target branch having a greater influence of active power output variation of a photovoltaic cluster according to the voltage variation rate corresponding to each busbar and the active power variation rate corresponding to each branch comprises:
Generating a network diagram corresponding to the photovoltaic cluster according to the voltage change rate corresponding to each bus and the active power change rate corresponding to each branch;
Wherein each vertex in the network diagram corresponds to each bus, a connecting line between different vertexes corresponds to each branch, and a distance between different vertexes is determined based on a voltage change rate corresponding to each bus and an active power change rate corresponding to each branch;
And carrying out optimal path searching on the network diagram to obtain a second target bus and a target branch which are greatly influenced by the active output change of the photovoltaic cluster.
4. A method according to claim 3, wherein performing an optimal path search on the network map to obtain a second target busbar and a target branch having a greater influence on the change in active output of the photovoltaic cluster comprises:
obtaining the distance between a current vertex and each adjacent vertex, and determining a target adjacent vertex with the maximum distance between the current vertex and each adjacent vertex;
And determining a generatrix corresponding to the target adjacent vertex as the second target generatrix, and determining a branch corresponding to a connecting line between the current vertex and the target adjacent vertex as the target branch.
5. The method of claim 4, wherein obtaining the distance between the current vertex and each neighboring vertex comprises:
Based on the formula d= |k i|/Kmax×|Rik|/Rmax, determining the distance d between the current vertex and each adjacent vertex according to the voltage change rate K i corresponding to the bus i and the active power change rate R ik corresponding to the branch K, wherein K max represents the maximum voltage change rate and R max represents the maximum active power change rate.
6. The method of claim 1, wherein obtaining the voltage increment corresponding to each bus under reactive power fluctuation of the photovoltaic cluster comprises:
based on the formula DeltaV ij＝Sij×ΔQj and And obtaining a voltage increment H i corresponding to each bus, wherein DeltaV ij represents the voltage increment among different nodes of the bus, S ij represents the change sensitivity of reactive power, deltaQ j represents the reactive increment of the node, j represents the node index, and m represents the number of the nodes.
7. The method of claim 1, wherein determining a first target bus having a greater rate of change of reactive power based on the voltage increment corresponding to each bus comprises:
Obtaining the maximum voltage increment in each voltage increment, and calculating to obtain a third ratio of each voltage increment to the maximum voltage increment;
And carrying out normalization processing on each third ratio to obtain each normalized third ratio, and obtaining the first target bus according to each normalized third ratio.
8. A key variable selection device for a photovoltaic cluster, comprising:
The first target bus determining module is used for obtaining voltage increment corresponding to each bus under reactive fluctuation of the photovoltaic cluster and determining a first target bus with larger reactive power change rate according to the voltage increment corresponding to each bus;
the voltage change rate acquisition module is used for acquiring the voltage change rate corresponding to each bus and the active power change rate corresponding to each branch in each bus when the output of the photovoltaic cluster changes from an initial running state to a critical limit state;
The second target bus acquisition module is used for acquiring a second target bus and a target branch circuit with larger influence of active output change of the photovoltaic cluster according to the voltage change rate corresponding to each bus and the active power change rate corresponding to each branch circuit.
9. An electronic device, the electronic device comprising:
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 key variable selection of a photovoltaic cluster of any one of claims 1-7.
10. A computer readable storage medium storing computer instructions for causing a processor to implement the method of key variable selection of a photovoltaic cluster according to any one of claims 1-7 when executed.
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