CN117196180A - Distribution line photovoltaic collection point site selection method containing high-proportion distributed photovoltaic - Google Patents
Distribution line photovoltaic collection point site selection method containing high-proportion distributed photovoltaic Download PDFInfo
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Abstract
The invention provides a distribution line photovoltaic collection point site selection method containing high-proportion distributed photovoltaic. The method comprises the steps of obtaining data information of a distribution line of a high-proportion distributed photovoltaic; calculating the comprehensive voltage deviation value of the distribution line node at each moment, and collecting to obtain a comprehensive voltage deviation value vector; calculating the node power principal components of the distribution line at each moment to obtain node power principal component vectors; and calculating correlation coefficients of different nodes according to the voltage comprehensive deviation value vector and the node power principal component vector, and selecting a photovoltaic collection point according to the correlation coefficients. In this way, the problem of how to determine a limited number of photovoltaic collection points to configure distributed energy storage by the distribution line containing high-proportion distributed photovoltaic can be solved, and scientific site selection of the photovoltaic collection points of the distribution line containing high-proportion distributed photovoltaic can be realized.
Description
Technical Field
The present invention relates generally to the field of distributed photovoltaic grid-tie-in and, more particularly, to a distribution line photovoltaic collection point site selection method with a high proportion of distributed photovoltaic.
Background
At present, photovoltaic power generation accessed by some economic developed urban power grids in China is mainly in a low-pressure low-capacity distributed mode, power grid enterprises encourage photovoltaic access by high-quality service, and a full-consumption policy is adopted for small-capacity distributed photovoltaic in particular. However, once the distributed photovoltaic access proportion reaches a certain degree, the influence of the distributed photovoltaic access proportion on the dynamic stability of the power system is difficult to ignore, and the distributed photovoltaic access proportion is difficult to ensure that the distributed photovoltaic access proportion does not cause large-area disturbance or even faults. Especially, the seasonal power supply deficiency problem occurs in the last two years, so that the national and power grid enterprises are more careful in treating the relation between the development speed of new energy and the power supply protection. At present, a plurality of dispatching departments in part of areas test the light Fu Qun group control technology, but the technology is mainly realized by controlling the output of a photovoltaic inverter, the low power control can only be performed under the condition that the photovoltaic output suddenly increases, the control cannot be performed when the photovoltaic output suddenly decreases, the control cannot be performed under the influence of communication access and communication speed, and the response speed and the implementation effect of the light Fu Qun group control are not ideal.
The distributed energy storage system has the advantages of strong instantaneous power throughput capability, rapid response, accurate adjustment and the like, and the distributed energy storage system and the distributed photovoltaic are combined, so that the intermittent power supply power fluctuation can be effectively smoothed, the standby capacity of a power grid is increased, and the load peak-valley difference can be adjusted. However, when the proportion of distributed photovoltaics in the distribution network is high, if a set of energy storage is configured for each distributed photovoltaics, the cost of distribution network adjustment is increased significantly, and the overall economy is reduced greatly. When the local distribution network is provided with a centralized energy storage power station at the connection of the main network, the voltage fluctuation of the content of the local distribution network cannot be restrained.
Disclosure of Invention
According to an embodiment of the invention, a distribution line photovoltaic collection point site selection scheme with high proportion of distributed photovoltaic is provided. The distributed energy storage system solves the problem that how to determine the limited photovoltaic collection points to configure distributed energy storage of the distribution line containing the high-proportion distributed photovoltaic, and realizes scientific site selection of the photovoltaic collection points of the distribution line containing the high-proportion distributed photovoltaic.
In a first aspect of the invention, a distribution line photovoltaic collection site locating method is provided that includes a high proportion of distributed photovoltaic. The method comprises the following steps:
acquiring data information of a high-proportion distributed photovoltaic power distribution line;
calculating the comprehensive voltage deviation value of the distribution line node at each moment, and collecting to obtain a comprehensive voltage deviation value vector;
calculating the node power principal components of the distribution line at each moment to obtain node power principal component vectors;
and calculating correlation coefficients of different nodes according to the voltage comprehensive deviation value vector and the node power principal component vector, and selecting a photovoltaic collection point according to the correlation coefficients.
Further, the data information of the distribution line of the high-proportion distributed photovoltaic is the voltage, active power and reactive power of each node of the distribution line in a certain time period.
Further, the calculating the comprehensive deviation value of the distribution line node voltage at each moment includes:
wherein V is j The node voltage comprehensive deviation value at the moment j; u (U) i The per-unit value of the voltage of the node i; n represents the number of all nodes.
Further, the step of collecting the voltage integrated deviation value vector comprises the following steps:
V＝[V 1 …V j …V m ] T
wherein j represents the j-th time; m represents the number of all times; v represents the node voltage integrated offset vector.
Further, the calculating the node power principal components of the distribution line at each moment to obtain a node power principal component vector includes:
wherein S is m The power principal element is the node power principal element at m time; p (P) m The active power of the node i at the moment m; q (Q) m The reactive power of the node i at the moment m; a, a 1 And a 2 To calculate P according to principal component analysis theory m And Q m Is a linear combination of the values of (a).
Further, the calculating the correlation coefficient of different nodes according to the voltage integrated deviation value vector and the node power principal component vector includes:
wherein ρ is i The voltage comprehensive deviation value of the node i and the correlation coefficient of the node power principal element are obtained; n represents the number of all nodes.
Further, the selecting a photovoltaic collection point according to the correlation coefficient includes:
and arranging the correlation coefficients of different nodes according to the order of magnitude, and selecting the node with the largest correlation coefficient as a photovoltaic collection point.
Further, if the correlation coefficients of the plurality of nodes are the same, judging whether branch lines exist in the topological connection of the nodes with the same correlation coefficients, if so, normally selecting the photovoltaic collection points according to the size sequence, otherwise, merging the nodes with the same correlation coefficients as one node to select the photovoltaic collection points.
In a second aspect of the invention, a distribution line photovoltaic collection point site selection apparatus is provided that includes a high proportion of distributed photovoltaic. The device comprises:
the acquisition module is used for acquiring data information of the distribution lines of the high-proportion distributed photovoltaic;
the first calculation module is used for calculating the comprehensive voltage deviation value of the distribution line node at each moment and collecting to obtain a comprehensive voltage deviation value vector;
the second calculation module is used for calculating the node power principal components of the distribution line at each moment to obtain a node power principal component vector;
and the selection module is used for calculating the correlation coefficient of different nodes according to the voltage comprehensive deviation value vector and the node power principal component vector, and selecting a photovoltaic collection point according to the correlation coefficient.
In a third aspect of the invention, an electronic device is provided. At least one processor of the electronic device; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the first aspect of the invention.
It should be understood that the description in this summary is not intended to limit the critical or essential features of the embodiments of the invention, nor is it intended to limit the scope of the invention. Other features of the present invention will become apparent from the description that follows.
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The above and other features, advantages and aspects of embodiments of the present invention will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, wherein like or similar reference numerals denote like or similar elements, in which:
FIG. 1 illustrates a flow chart of a distribution line photovoltaic collection point location method including a high proportion of distributed photovoltaic according to an embodiment of the present invention;
FIG. 2 illustrates a schematic diagram of a 33 node distribution line topology according to an embodiment of the present invention;
FIG. 3 shows a representative solar photovoltaic power generation 24h graph, according to an embodiment of the present invention;
FIG. 4 shows a typical daily 24h load curve schematic according to an embodiment of the invention;
FIG. 5 illustrates a node correlation coefficient diagram according to an embodiment of the present invention;
FIG. 6 illustrates a block diagram of a distribution line photovoltaic collection point site selection apparatus including a high proportion of distributed photovoltaic according to an embodiment of the present invention;
FIG. 7 illustrates a block diagram of an exemplary electronic device capable of implementing embodiments of the invention;
the device 700 is an electronic device, 701 is a computing unit, 702 is a ROM, 703 is a RAM, 704 is a bus, 705 is an I/O interface, 706 is an input unit, 707 is an output unit, 708 is a storage unit, 709 is a communication unit.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
In the invention, some distributed photovoltaic collection points are selected in the local power distribution network, and distributed energy storage is configured at the collection points, so that voltage fluctuation in the local power distribution network can be regulated, and the overall configuration cost can be reduced, therefore, the site selection of the photovoltaic collection points is very important, and related site selection method research is not seen at present.
Fig. 1 shows a flow chart of a distribution line photovoltaic collection site locating method with high proportion of distributed photovoltaics according to an embodiment of the present invention.
The method comprises the following steps:
and S101, acquiring data information of a distribution line of the high-proportion distributed photovoltaic.
In this embodiment, the high-proportion distributed photovoltaic refers to the fact that when the distributed photovoltaic access reaches a degree that affects the power distribution network relatively greatly, the proportion of the distributed photovoltaic access is lower than that of the previous distributed photovoltaic access. High ratios are industry common terminology.
In this embodiment, the data information of the distribution line of the high-proportion distributed photovoltaic mainly includes the voltage, the active power and the reactive power of each node of the distribution line in a certain period. The data of the voltage, the active power and the reactive power are obtained by analyzing the distribution line topology. The certain time period can be set according to the need, for example, within 24 hours, within one month, etc., and the data time interval is not mandatory.
As an embodiment of the invention, as shown in fig. 2, the 33-node distribution line topology incorporates a photovoltaic system at three feeder end nodes 18, 22, 33 and nodes 7, 10, 27, respectively, and analysis is performed over a 24 hour period, with PV representing a photovoltaic panel and G representing a grid.
The photovoltaic power generation power 24h curve is shown in fig. 3, a typical daily 24h load curve is shown in fig. 4, according to the disclosed information such as the topology data, the power data and the like of the power distribution line of 33 nodes, the power flow calculation is carried out, the data of the voltage, the active power and the reactive power of each node of the power distribution line in the 24h time period can be obtained, and the data time interval is 1h.
It should be noted that in the above embodiment, the voltage, the active power and the reactive power of each node of the distribution line need to be guaranteed to be data on one time section.
S102, calculating the voltage comprehensive deviation value of the distribution line node at each moment, and collecting to obtain a voltage comprehensive deviation value vector.
According to the voltage information of each node of the distribution line acquired in the step S101, the following calculation is carried out:
in the formula (1), V j The node voltage comprehensive deviation value at the moment j; u (U) i The per-unit value of the voltage of the node i; n represents all nodes, for example, n takes the value 33 in the above embodiment.
The node voltage comprehensive deviation values at all moments are collected to form a node voltage comprehensive deviation value vector V as follows:
V＝[V 1 …V j …V m ] T (2)
in the formula (2), m represents all times, and the value of m is 24 in the above-described embodiment.
The node voltage integrated deviation value vector represents node voltage integrated deviation value sample data with time as a section, and is one of input vectors for calculating subsequent correlation coefficients.
And S103, calculating the node power principal components of the distribution line at each moment to obtain a node power principal component vector.
In this embodiment, according to the active power and reactive power values of the distribution line node acquired in S101, a node power principal component vector S is formed by the following calculation using principal component analysis ideas of a plurality of variables.
In the formula (3), S m Is the node power principal element at the moment m, P m And Q m The active power and reactive power values of the node i at the time m. a, a 1 And a 2 To P calculated according to principal component analysis theory m And Q m Is a linear combination of the values of S m Becomes the node power principal element of node i.
Because each node has two variables of active power and reactive power, the node power is converted into a principal component variable by using the formula (3), namely, the two variables of active power and reactive power of each node are converted into a principal component variable, and then are combined into a node power principal component vector S according to m moments.
Since the subsequent correlation coefficient calculation can only process the operation between two vectors, the active power and reactive power variables are converted into a principal component variable, and the principal component vector of the section synthetic node vector is taken as one of input vectors of the subsequent correlation coefficient calculation.
And S104, calculating correlation coefficients of different nodes according to the voltage comprehensive deviation value vector and the node power principal component vector, and selecting a photovoltaic collection point according to the correlation coefficients.
In the present embodiment, from the node voltage integrated deviation value vector V and the node power principal component vector S calculated in S102 and S103, the following is calculated using a simple correlation coefficient:
in formula (4), ρ i And the node voltage comprehensive deviation value of the node i and the correlation coefficient of the node power principal element are obtained.
In the above embodiment, the correlation coefficients of all n nodes calculated according to the formula (4) are first sorted by size, and the larger the correlation coefficient value is, the larger the correlation coefficient value is selected as a photovoltaic collection point.
In some embodiments, in the process of actually selecting the photovoltaic collection points, if the correlation coefficient values of the plurality of nodes are the same, whether branch lines exist in the topological connection of the nodes is judged, if not, the nodes can be combined to select only one photovoltaic collection point, and if so, the nodes are normally selected according to the order of the sizes. As shown in fig. 5, the correlation coefficient values of the nodes 2, 7, 8, 9 and 26 are calculated to be the highest, and considering that no branch line exists in the topological connection of the nodes 7, 8 and 9, the 3 nodes are combined to select a photovoltaic collection point. The final photovoltaic collection sites are node 2, node 7 and node 26.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present invention is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present invention. Further, those skilled in the art will also appreciate that the embodiments described in the specification are alternative embodiments, and that the acts and modules referred to are not necessarily required for the present invention.
The above description of the method embodiments further describes the solution of the present invention by means of device embodiments.
As shown in fig. 6, the apparatus 600 includes:
an acquisition module 610, configured to acquire data information of a distribution line of a high-proportion distributed photovoltaic;
the first calculating module 620 is configured to calculate a comprehensive voltage deviation value of the distribution line node at each moment, and aggregate the comprehensive voltage deviation value vectors;
the second calculating module 630 is configured to calculate a main component of the node power of the distribution line at each moment to obtain a main component vector of the node power;
and the selecting module 640 is configured to calculate correlation coefficients of different nodes according to the voltage integrated deviation value vector and the node power principal component vector, and select a photovoltaic collection point according to the correlation coefficients.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the described modules may refer to corresponding procedures in the foregoing method embodiments, which are not described herein again.
In the technical scheme of the invention, the acquisition, storage, application and the like of the related user personal information all conform to the regulations of related laws and regulations, and the public sequence is not violated.
According to the embodiment of the invention, the invention further provides electronic equipment.
Fig. 7 shows a schematic block diagram of an electronic device 700 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. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, 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.
The electronic device 700 includes a computing unit 701 that can perform various suitable actions and processes according to a computer program stored in a Read Only Memory (ROM) 702 or a computer program loaded from a storage unit 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the electronic device 700 may also be stored. The computing unit 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
Various components in the electronic device 700 are connected to the I/O interface 705, including: an input unit 706 such as a keyboard, a mouse, etc.; an output unit 707 such as various types of displays, speakers, and the like; a storage unit 708 such as a magnetic disk, an optical disk, or the like; and a communication unit 709 such as a network card, modem, wireless communication transceiver, etc. The communication unit 709 allows the electronic device 700 to exchange information/data with other devices through a computer network, such as the internet, and/or various telecommunication networks.
The computing unit 701 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 701 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The calculation unit 701 performs the respective methods and processes described above, for example, the methods S101 to S104. For example, in some embodiments, methods S101-S104 may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 708. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 700 via the ROM 702 and/or the communication unit 709. When the computer program is loaded into the RAM 703 and executed by the computing unit 701, one or more steps of the methods S101 to S104 described above may be performed. Alternatively, in other embodiments, the computing unit 701 may be configured to perform the methods S101-S104 by any other suitable means (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 Chips (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.
Program code for carrying out methods of the present invention may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code 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 machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable 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. 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), an optical fiber, a 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 a computer 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 pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. 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), and the internet.
The computer system may include a client and a server. 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 may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.
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 locating a photovoltaic collection point of a distribution line containing a high proportion of distributed photovoltaic, comprising:
acquiring data information of a high-proportion distributed photovoltaic power distribution line;
calculating the comprehensive voltage deviation value of the distribution line node at each moment, and collecting to obtain a comprehensive voltage deviation value vector;
calculating the node power principal components of the distribution line at each moment to obtain node power principal component vectors;
and calculating correlation coefficients of different nodes according to the voltage comprehensive deviation value vector and the node power principal component vector, and selecting a photovoltaic collection point according to the correlation coefficients.
2. The method of claim 1, wherein the data information of the high-proportion distributed photovoltaic distribution line is voltage, active power and reactive power of each node of the distribution line during a certain period of time.
3. The method of claim 1, wherein calculating the integrated distribution line node voltage bias values for each time instant comprises:
wherein V is j For the integrated deviation of the node voltage at time jA value; u (U) i The per-unit value of the voltage of the node i; n represents the number of all nodes.
4. A method according to claim 3, wherein said pooling results in a vector of voltage integrated bias values, comprising:
V＝[V 1 …V j …V m ] T
wherein j represents the j-th time; m represents the number of all times; v represents the node voltage integrated offset vector.
5. The method according to claim 1, wherein calculating the distribution line node power principal components at each time instant to obtain a node power principal component vector comprises:
wherein S is m The power principal element is the node power principal element at m time; p (P) m The active power of the node i at the moment m; q (Q) m The reactive power of the node i at the moment m; a, a 1 And a 2 To calculate P according to principal component analysis theory m And Q m Is a linear combination of the values of (a).
6. The method of claim 1, wherein said calculating correlation coefficients for different nodes from said voltage integrated offset vector and node power principal component vector comprises:
wherein ρ is i The voltage comprehensive deviation value of the node i and the correlation coefficient of the node power principal element are obtained; n represents the number of all nodes.
7. The method of claim 1, wherein selecting a photovoltaic collection point based on the correlation coefficient comprises:
and arranging the correlation coefficients of different nodes according to the order of magnitude, and selecting the node with the largest correlation coefficient as a photovoltaic collection point.
8. The method of claim 7, wherein if there are a plurality of nodes with the same correlation coefficient, determining whether there is a branch line in the topology connection of the nodes with the same correlation coefficient, if there is a branch line, selecting the photovoltaic collection points in order of magnitude normally, otherwise, merging the nodes with the same correlation coefficient as one node to perform photovoltaic collection point selection.
9. A distribution line photovoltaic collection point site selection apparatus including a high proportion of distributed photovoltaic, comprising:
the acquisition module is used for acquiring data information of the distribution lines of the high-proportion distributed photovoltaic;
the first calculation module is used for calculating the comprehensive voltage deviation value of the distribution line node at each moment and collecting to obtain a comprehensive voltage deviation value vector;
the second calculation module is used for calculating the node power principal components of the distribution line at each moment to obtain a node power principal component vector;
and the selection module is used for calculating the correlation coefficient of different nodes according to the voltage comprehensive deviation value vector and the node power principal component vector, and selecting a photovoltaic collection point according to the correlation coefficient.
10. An electronic device comprising at least one processor; and
a memory communicatively coupled to the at least one processor; it is characterized in that the method comprises the steps of,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-8.
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