CN117132063A - Wind-solar complementary power supply system - Google Patents

Wind-solar complementary power supply system Download PDF

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Publication number
CN117132063A
CN117132063A CN202311097877.2A CN202311097877A CN117132063A CN 117132063 A CN117132063 A CN 117132063A CN 202311097877 A CN202311097877 A CN 202311097877A CN 117132063 A CN117132063 A CN 117132063A
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analysis
wind
area
value
coefficient
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CN117132063B (en
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王东
周瑞
马天
孙旺
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Shandong Tanyue Internet Of Things Technology Co ltd
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Shandong Tanyue Internet Of Things Technology Co ltd
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    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S10/00PV power plants; Combinations of PV energy systems with other systems for the generation of electric power
    • H02S10/10PV power plants; Combinations of PV energy systems with other systems for the generation of electric power including a supplementary source of electric power, e.g. hybrid diesel-PV energy systems
    • H02S10/12Hybrid wind-PV energy systems
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • H02J3/472For selectively connecting the AC sources in a particular order, e.g. sequential, alternating or subsets of sources
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S10/00PV power plants; Combinations of PV energy systems with other systems for the generation of electric power
    • H02S10/20Systems characterised by their energy storage means
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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    • HELECTRICITY
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    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/22The renewable source being solar energy
    • H02J2300/24The renewable source being solar energy of photovoltaic origin
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/28The renewable source being wind energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/40Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously

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Abstract

The invention belongs to the field of wind-solar complementary power generation, relates to a data analysis technology, and is used for solving the problem that the whole consideration of a selected building address is not carried out in the site selection analysis of the traditional wind-solar complementary power supply system, in particular to a wind-solar complementary power supply system, which comprises a server, wherein the server is in communication connection with an influence analysis module, a site selection analysis module, a layout analysis module, terminal equipment and a storage module; the influence analysis module is used for carrying out operation influence analysis on wind-solar complementary power supply equipment: dividing a power supply site selection area into a plurality of rectangular analysis areas, and obtaining a wind shadow coefficient FY and a light shadow coefficient GY of the analysis areas; the wind power generation influence degree and the photovoltaic power generation influence degree in the wind-solar complementary power supply system can be analyzed, and the wind shadow coefficient and the light shadow coefficient of the analysis area are calculated in a regional analysis mode, so that data support is provided for the site selection analysis process.

Description

Wind-solar complementary power supply system
Technical Field
The invention belongs to the field of wind-solar complementary power generation, relates to a data analysis technology, and particularly relates to a wind-solar complementary power supply system.
Background
The wind-solar complementary power generation system is a power generation application system, the system stores generated electric energy into a storage battery by utilizing a solar cell matrix and a wind driven generator (converting alternating current into direct current), and when a user needs to use electricity, an inverter converts the direct current stored in the storage battery into alternating current and sends the alternating current to a user load through a power transmission line. The wind driven generator and the solar cell array generate power together.
When the existing wind-solar complementary power supply system is used for site selection, site selection analysis can be carried out only according to current power consumption requirements, and the selected construction address is not integrally considered during site selection analysis, so that when the power generation equipment is required to be added due to insufficient supply of the requirements in the later period, the construction requirements of the peripheral area of the existing equipment are difficult to meet, the construction difficulty of the newly-added equipment is high, and the later maintenance efficiency is low.
In view of the above technical problems, a solution is proposed.
Disclosure of Invention
The invention aims to provide a wind-solar complementary power supply system which is used for solving the problem that the existing wind-solar complementary power supply system does not carry out integral consideration on a selected building address during site selection analysis;
the technical problems to be solved by the invention are as follows: how to provide a wind-solar complementary power supply system which can take the selected building address into account integrally in site selection analysis.
The aim of the invention can be achieved by the following technical scheme:
the wind-solar complementary power supply system comprises a server, wherein the server is in communication connection with an influence analysis module, an address selection analysis module, a layout analysis module, terminal equipment and a storage module;
the influence analysis module is used for carrying out operation influence analysis on wind-solar complementary power supply equipment: dividing a power supply site selection area into a plurality of rectangular analysis areas, and obtaining a wind shadow coefficient FY and a light shadow coefficient GY of the analysis areas; transmitting the light shadow coefficient GY and the wind shadow coefficient FY of the analysis area to a server, and transmitting the received light shadow coefficient GY and wind shadow coefficient FY of the analysis area to an address selection analysis module by the server;
the site selection analysis module is used for site selection analysis of wind-solar complementary power supply equipment: the analysis areas are respectively arranged according to the sequence of the wind shadow coefficient FY and the light shadow coefficient GY from large to small to obtain a wind shadow priority sequence and a light shadow priority sequence, and the absolute value of the difference value of the serial numbers of the analysis areas in the wind shadow priority sequence and the light shadow priority sequence is marked as a sequential difference value SC of the analysis areas; the priority coefficient YX of the analysis area is obtained by carrying out numerical calculation on the shadow coefficient GY, the wind shadow coefficient FY and the forward difference value SC; acquiring a preselected number according to the power generation requirement, marking the preselected number as n, wherein the preselected number is the estimated number for wind-solar complementary power generation in a selected analysis area; generating an n multiplied by n addressing array at the upper left corner of the power supply addressing area, and performing traversal simulation analysis on the addressing array to obtain an addressing area and a supplementing area; the address selecting area is sent to a server, and the server sends the address selecting area to a layout analysis module after receiving the address selecting area;
the layout analysis module is used for carrying out layout analysis on the wind-solar power generation equipment in the site selection area.
As a preferred embodiment of the present invention, the process for obtaining the wind shadow coefficient FY of the analysis area includes: acquiring an environmental value HJ and an elevation value HB of the analysis area, wherein the environmental value HJ is the number of times that storm, lightning stroke and hail weather occur in the analysis area within the last L1 month, the elevation value HB is the highest elevation value of the analysis area, and the method comprises the steps of e Obtaining a wind shadow coefficient FY of the analysis area, wherein t1 is a proportionality coefficient, t1 is more than 1, e is a natural constant, eHas a value of 2.78.
As a preferred embodiment of the present invention, the process for obtaining the light and shadow coefficient GY of the analysis region includes: the process for acquiring the ground difference value DC, the sunlight value RZ and the radiation value FS of the analysis area comprises the following steps: dividing an analysis area into a plurality of analysis slopes, obtaining gradient values and gradient ranges of the analysis slopes, marking an average value of a maximum value and a minimum value of the gradient ranges as a gradient standard value, marking an absolute value of a difference value between the gradient values and the gradient standard value as a slope value of the analysis slopes, and marking an average value of slope values of all the analysis slopes as a ground difference value DC of the analysis area; the solar value RZ is the solar duration value of the analysis area in the last year, and the radiation value FS is the radiation amount of the analysis area in the last year; by the formulaThe light and shadow coefficients GY of the analysis area are obtained, wherein beta 1, beta 2 and beta 3 are all proportional coefficients, and beta 1 > beta 2 > beta 3 > 1.
As a preferred embodiment of the invention, the specific process of performing traversal simulation analysis on the addressing array comprises the following steps: summing the priority coefficients YX of all the analysis areas in the addressing array, taking an average value to obtain a priority representation value of the addressing array, and performing variance calculation on the priority coefficients YX of all the analysis areas in the addressing array to obtain a priority deviation value of the addressing array; marking the difference value between the priority expression value and the priority deviation value of the address selection array as the address selection coefficient of the address selection array; translating the addressing array to the right side by taking an analysis area as a unit and re-acquiring the addressing coefficient of the addressing array; and the like, until the addressing array moves to the rightmost side, translating the addressing array downwards by taking an analysis area as a unit, re-acquiring the addressing coefficient of the addressing array, translating the addressing array leftwards by taking the analysis area as a unit, until the addressing array moves to the lower right corner of a power supply addressing area, completing a traversal simulation analysis process, marking the maximum value of the addressing coefficient in the traversal simulation analysis process as an integrated coefficient, acquiring an integrated threshold value through a storage module, comparing the integrated coefficient with the integrated threshold value, and marking a supplement area and the addressing area through a comparison result.
As a preferred embodiment of the present invention, the specific process of performing the combination coefficient and the combination threshold value includes: if the comprehensive coefficient is smaller than the comprehensive threshold, generating an n x (n+1) addressing array at the upper left corner of the power supply addressing area, and performing traversal simulation analysis on the addressing array again until the comprehensive coefficient is not smaller than the comprehensive threshold; if the comprehensive coefficient is greater than or equal to the comprehensive threshold, an address selection set is formed by the analysis areas corresponding to the address selection array with the largest address selection coefficient, the elements in the address selection set are sequenced according to the sequence from the large value to the small value of the priority coefficient YX to obtain an address selection sequence, the first n analysis areas in the address selection sequence are marked as address selection areas, and the nth to the n+mth address selection areas in the address selection sequence are marked as supplementary areas.
As a preferred implementation manner of the invention, the specific process of the layout analysis module for carrying out the layout analysis of the wind-solar power generation equipment on the site selection area comprises the following steps: obtaining the wind power quantity and the photovoltaic quantity through the power generation requirement, the rated power of a power generation fan and the rated power of a photovoltaic electric plate, marking the ratio of the wind power quantity to n as a wind power average value, marking the ratio of the photovoltaic quantity to n as a photovoltaic average value, and marking the wind power average value and the photovoltaic average value as equipment distribution quantity of an address selection area with a forward difference value SC smaller than a preset forward difference threshold value; marking an addressing area with the forward difference value SC not smaller than a preset forward difference threshold value as a scheduling area, respectively arranging the scheduling areas according to the sequence from big to small of a wind shadow coefficient FY and a light shadow coefficient GY to obtain a wind shadow scheduling sequence and a light shadow scheduling sequence, distributing one power generation fan of the last scheduling area in the wind shadow scheduling sequence to the first scheduling area, distributing one power generation fan of the last but one scheduling area in the wind shadow scheduling sequence to the second scheduling area, and so on; and dispatching and distributing the photovoltaic electric plates according to the same quantity, after the quantity distribution of the photovoltaic electric plates and the power generation fans is completed, sending the equipment distribution quantity of all the site selection areas to a server, and sending the received equipment distribution quantity to a mobile phone terminal of a manager by the server.
As a preferred embodiment of the invention, the terminal device comprises a power generation fan and a photovoltaic panel, wherein the output ends of the power generation fan and the photovoltaic panel are electrically connected with an intelligent controller, the intelligent controller is electrically connected with a reverse control integrated machine, and the reverse control integrated machine is used for outputting electric quantity in the form of alternating current load or direct current load; the intelligent controller is in communication connection with the server.
The invention has the following beneficial effects:
1. the wind power generation influence degree and the photovoltaic power generation influence degree in the wind-solar complementary power supply system can be analyzed through the influence analysis module, the wind shadow coefficient and the light shadow coefficient of the analysis area are calculated through a regional analysis mode, so that the wind power generation site selection priority of the analysis area is fed back according to the wind shadow coefficient, the photovoltaic power generation site selection priority of the analysis area is fed back according to the light shadow coefficient, and data support is provided for the site selection analysis process;
2. the address selection analysis module can combine the priority coefficient of each analysis area to screen the address selection area, and the address selection direction formed by a plurality of analysis areas is restrained by the address selection coefficient of the address selection array, so that most analysis areas except the address selection area in the finally selected address selection array can meet the equipment construction requirement, the equipment construction cost is reduced, the equipment construction resource is saved, and the later equipment maintenance management is facilitated;
3. the layout analysis module can perform layout analysis on wind-solar power generation equipment in the site selection area, the equipment distribution quantity in the site selection area is marked through the numerical value of the order value, then the quantity of power generation fans and the quantity of photovoltaic electric plates in the site selection area are finely adjusted by combining the wind shadow scheduling sequence and the light shadow scheduling sequence, so that the equipment distribution quantity in the site selection area is matched with the landform characteristics of the equipment distribution quantity in the site selection area, and the power generation efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating a process of traversing a simulation analysis according to a first embodiment of the present invention;
fig. 3 is a schematic diagram illustrating an operation of a power supply system according to a second embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious 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 invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in FIG. 1, the wind-solar complementary power supply system comprises a server, wherein the server is in communication connection with an impact analysis module, an address analysis module, a layout analysis module, terminal equipment and a storage module.
The influence analysis module is used for carrying out operation influence analysis on the wind-solar complementary power supply equipment: dividing the power supply site selection area into a plurality of rectangular analysis areas, and acquiring the wind shadow coefficient FY and the light shadow coefficient GY of the analysis areas, wherein the acquisition process of the wind shadow coefficient FY of the analysis areas comprises the following steps: acquiring an environmental value HJ and an elevation value HB of an analysis area, wherein the environmental value HJ is the number of times of storm, lightning stroke and hail weather in the latest L1 month of the analysis area, L1 is a numerical constant, and the specific numerical value of L1 is set by a manager; the altitude value HB is the highest altitude value of the analysis area, and is represented by the formula fy=t1×hb/HJ e Obtaining a wind shadow coefficient FY of an analysis area, wherein t1 is a proportionality coefficient, t1 is more than 1, e is a natural constant, and the value of e is 2.78; the process for obtaining the light and shadow coefficient GY of the analysis area includes: the process for acquiring the ground difference value DC, the sunlight value RZ and the radiation value FS of the analysis area comprises the following steps: dividing the analysis area into a plurality of analysis slopes, and obtaining the gradient value and slope of the analysis slopesThe degree range is characterized in that the average value of the maximum value and the minimum value of the gradient range is marked as a gradient standard value, the absolute value of the difference value between the gradient value and the gradient standard value is marked as a slope value of an analysis slope, and the average value of the slope values of all the analysis slopes is marked as a ground difference value DC of an analysis area; the solar value RZ is the solar duration value of the analysis area in the last year, and the radiation value FS is the radiation amount of the analysis area in the last year; by the formulaObtaining a shadow coefficient GY of an analysis area, wherein beta 1, beta 2 and beta 3 are all proportional coefficients, and beta 1 is more than beta 2 and more than beta 3 is more than 1; transmitting the light shadow coefficient GY and the wind shadow coefficient FY of the analysis area to a server, and transmitting the received light shadow coefficient GY and wind shadow coefficient FY of the analysis area to an address selection analysis module by the server; the wind power generation influence degree and the photovoltaic power generation influence degree in the wind-solar complementary power supply system are analyzed, wind shadow coefficients and light shadow coefficients of an analysis area are calculated in a regional analysis mode, so that the wind power generation site selection priority of the analysis area is fed back according to the wind shadow coefficients, the photovoltaic power generation site selection priority of the analysis area is fed back according to the light shadow coefficients, and data support is provided for site selection analysis processes.
The site selection analysis module is used for site selection analysis of wind-solar complementary power supply equipment: the analysis areas are respectively arranged according to the sequence of the wind shadow coefficient FY and the light shadow coefficient GY from large to small to obtain a wind shadow priority sequence and a light shadow priority sequence, and the absolute value of the difference value of the serial numbers of the analysis areas in the wind shadow priority sequence and the light shadow priority sequence is marked as a sequential difference value SC of the analysis areas; by the formulaObtaining a priority coefficient YX of the analysis area, wherein gamma 1, gamma 2 and gamma 3 are all proportional coefficients, and gamma 1 is larger than gamma 2 and gamma 3 is larger than 1; acquiring a preselected number according to the power generation requirement, marking the preselected number as n, wherein the preselected number is the estimated number for wind-solar complementary power generation in a selected analysis area; generating an n x n addressing array at the upper left corner of the power supply addressing area, and performing traversal simulation separation on the addressing arrayAnd (3) analysis: summing the priority coefficients YX of all the analysis areas in the addressing array, taking an average value to obtain a priority representation value of the addressing array, and performing variance calculation on the priority coefficients YX of all the analysis areas in the addressing array to obtain a priority deviation value of the addressing array; marking the difference value between the priority expression value and the priority deviation value of the address selection array as the address selection coefficient of the address selection array; translating the addressing array to the right side by taking an analysis area as a unit and re-acquiring the addressing coefficient of the addressing array; and so on, until the addressing array moves to the rightmost side, translating the addressing array downwards by taking an analysis area as a unit and re-acquiring the addressing coefficient of the addressing array, then translating the addressing array leftwards by taking an analysis area as a unit, until the addressing array moves to the lower right corner of a power supply addressing area, completing a traversal simulation analysis process, marking the maximum value of the addressing coefficient in the traversal simulation analysis process as an integrated coefficient, acquiring an integrated threshold value by a storage module, and comparing the integrated coefficient with the integrated threshold value: if the comprehensive coefficient is smaller than the comprehensive threshold, generating an n x (n+1) addressing array at the upper left corner of the power supply addressing area, and performing traversal simulation analysis on the addressing array again until the comprehensive coefficient is not smaller than the comprehensive threshold; if the comprehensive coefficient is greater than or equal to the comprehensive threshold, forming an address selection set by an analysis area corresponding to the address selection array with the largest address selection coefficient, sorting elements in the address selection set according to the sequence from the large value to the small value of the priority coefficient YX to obtain an address selection sequence, marking the first n analysis areas in the address selection sequence as address selection areas, and marking the nth to the n+mth address selection areas in the address selection sequence as supplementary areas; the address selecting area is sent to a server, and the server sends the address selecting area to a layout analysis module after receiving the address selecting area; the method combines the priority coefficient of each analysis area to screen the address selection area, and the address selection direction formed by a plurality of analysis areas is constrained by the address selection coefficient of the address selection array, so that most of analysis areas except the address selection area in the finally selected address selection array can meet the equipment construction requirement, thereby reducing the equipment construction cost, saving the equipment construction resource and being beneficial to later equipment maintenance management.
For example, as shown in fig. 2, when the addressing analysis area is divided into 25 analysis areas with a preselected number of 3, a 3×3 addressing array is generated at the upper left corner of the addressing analysis area, after the priority coefficient of the addressing array is calculated, the addressing array is moved to the right, and so on until the addressing array moves to the lower right corner of the power supply analysis area, the priority coefficients corresponding to the nine addressing arrays are obtained, and the traversal simulation analysis is completed.
The layout analysis module is used for carrying out layout analysis on the wind-solar power generation equipment in the site selection area: obtaining the wind power quantity and the photovoltaic quantity through the power generation requirement, the rated power of a power generation fan and the rated power of a photovoltaic electric plate, marking the ratio of the wind power quantity to n as a wind power average value, marking the ratio of the photovoltaic quantity to n as a photovoltaic average value, and marking the wind power average value and the photovoltaic average value as equipment distribution quantity of an address selection area with a forward difference value SC smaller than a preset forward difference threshold value; marking an addressing area with the forward difference value SC not smaller than a preset forward difference threshold value as a scheduling area, respectively arranging the scheduling areas according to the sequence from big to small of a wind shadow coefficient FY and a light shadow coefficient GY to obtain a wind shadow scheduling sequence and a light shadow scheduling sequence, distributing one power generation fan of the last scheduling area in the wind shadow scheduling sequence to the first scheduling area, distributing one power generation fan of the last but one scheduling area in the wind shadow scheduling sequence to the second scheduling area, and so on; scheduling and distributing the photovoltaic electric plates according to the same quantity, after the quantity distribution of the photovoltaic electric plates and the power generation fans is completed, transmitting the equipment distribution quantity of all the site selection areas to a server, and transmitting the received equipment distribution quantity to a mobile phone terminal of a manager by the server; and carrying out layout analysis on wind-solar power generation equipment in the site selection area, marking the equipment distribution quantity in the site selection area through the numerical value of the order difference value, and then carrying out fine adjustment on the quantity of power generation fans and the quantity of photovoltaic electric plates in the site selection area by combining the wind shadow scheduling sequence and the light shadow scheduling sequence, so that the equipment distribution quantity in the site selection area is matched with the landform characteristics of the equipment distribution quantity in the site selection area, and the power generation efficiency is improved.
Example two
As shown in fig. 3, the terminal device comprises a power generation fan and a photovoltaic panel, the output ends of the power generation fan and the photovoltaic panel are electrically connected with an intelligent controller, the intelligent controller is electrically connected with a reverse control integrated machine, and the reverse control integrated machine is used for outputting electric quantity in the form of alternating current load or direct current load; the intelligent controller is in communication connection with the server;
the power generation fan converts wind energy into mechanical energy by using a wind turbine, converts the mechanical energy into electric energy by using a wind turbine, charges a storage battery by using a controller, and supplies power to a load by using an inverter;
the photovoltaic panel converts light energy into electric energy by utilizing the photovoltaic effect of the solar panel, then the storage battery is charged, and the direct current is converted into alternating current through the inverter to supply power to the load.
When the wind-solar complementary power supply system works, a power supply site selection area is divided into a plurality of rectangular analysis areas, and a wind shadow coefficient FY and a light shadow coefficient GY of the analysis areas are obtained; transmitting the light shadow coefficient GY and the wind shadow coefficient FY of the analysis area to a server, and transmitting the received light shadow coefficient GY and wind shadow coefficient FY of the analysis area to an address selection analysis module by the server; the analysis areas are respectively arranged according to the sequence of the wind shadow coefficient FY and the light shadow coefficient GY from large to small to obtain a wind shadow priority sequence and a light shadow priority sequence, and the absolute value of the difference value of the serial numbers of the analysis areas in the wind shadow priority sequence and the light shadow priority sequence is marked as a sequential difference value SC of the analysis areas; the priority coefficient YX of the analysis area is obtained by carrying out numerical calculation on the shadow coefficient GY, the wind shadow coefficient FY and the forward difference value SC; acquiring a preselected number according to the power generation requirement, marking the preselected number as n, wherein the preselected number is the estimated number for wind-solar complementary power generation in a selected analysis area; generating an n multiplied by n addressing array at the upper left corner of the power supply addressing area, and performing traversal simulation analysis on the addressing array to obtain an addressing area and a supplementing area.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: formula (VI)Collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding priority coefficient for each group of sample data; substituting the set priority coefficient and the acquired sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, and taking an average value to obtain values of gamma 1, gamma 2 and gamma 3 of 4.48, 3.25 and 2.03 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding priority coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the priority coefficient is proportional to the value of the wind shadow coefficient.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.

Claims (7)

1. The wind-solar complementary power supply system is characterized by comprising a server, wherein the server is in communication connection with an influence analysis module, an address selection analysis module, a layout analysis module, terminal equipment and a storage module;
the influence analysis module is used for carrying out operation influence analysis on wind-solar complementary power supply equipment: dividing a power supply site selection area into a plurality of rectangular analysis areas, and obtaining a wind shadow coefficient FY and a light shadow coefficient GY of the analysis areas; transmitting the light shadow coefficient GY and the wind shadow coefficient FY of the analysis area to a server, and transmitting the received light shadow coefficient GY and wind shadow coefficient FY of the analysis area to an address selection analysis module by the server;
the site selection analysis module is used for site selection analysis of wind-solar complementary power supply equipment: the analysis areas are respectively arranged according to the sequence of the wind shadow coefficient FY and the light shadow coefficient GY from large to small to obtain a wind shadow priority sequence and a light shadow priority sequence, and the absolute value of the difference value of the serial numbers of the analysis areas in the wind shadow priority sequence and the light shadow priority sequence is marked as a sequential difference value SC of the analysis areas; the priority coefficient YX of the analysis area is obtained by carrying out numerical calculation on the shadow coefficient GY, the wind shadow coefficient FY and the forward difference value SC; acquiring a preselected number according to the power generation requirement, marking the preselected number as n, wherein the preselected number is the estimated number for wind-solar complementary power generation in a selected analysis area; generating an n multiplied by n addressing array at the upper left corner of the power supply addressing area, and performing traversal simulation analysis on the addressing array to obtain an addressing area and a supplementing area; the address selecting area is sent to a server, and the server sends the address selecting area to a layout analysis module after receiving the address selecting area;
the layout analysis module is used for carrying out layout analysis on the wind-solar power generation equipment in the site selection area.
2. The wind-solar hybrid power supply system according to claim 1, wherein the process of obtaining the wind shadow coefficient FY of the analysis area comprises: acquiring an environmental value HJ and an altitude value H of an analysis areaB, the environmental value HJ is the frequency of storm, lightning strike and hail weather occurring in the analysis area within the last L1 month, the elevation value HB is the highest elevation value of the analysis area, and the formula FY=t1 is used for HB/HJ e And obtaining a wind shadow coefficient FY of the analysis area, wherein t1 is a proportionality coefficient, t1 is more than 1, e is a natural constant, and the value of e is 2.78.
3. The wind-solar hybrid power supply system according to claim 2, wherein the process of obtaining the light-shadow coefficient GY of the analysis area comprises: the process for acquiring the ground difference value DC, the sunlight value RZ and the radiation value FS of the analysis area comprises the following steps: dividing an analysis area into a plurality of analysis slopes, obtaining gradient values and gradient ranges of the analysis slopes, marking an average value of a maximum value and a minimum value of the gradient ranges as a gradient standard value, marking an absolute value of a difference value between the gradient values and the gradient standard value as a slope value of the analysis slopes, and marking an average value of slope values of all the analysis slopes as a ground difference value DC of the analysis area; the solar value RZ is the solar duration value of the analysis area in the last year, and the radiation value FS is the radiation amount of the analysis area in the last year; by the formulaThe light and shadow coefficients GY of the analysis area are obtained, wherein beta 1, beta 2 and beta 3 are all proportional coefficients, and beta 1 > beta 2 > beta 3 > 1.
4. A wind-solar hybrid power supply system according to claim 3, wherein the specific process of performing a traversal simulation analysis on the addressing array comprises: summing the priority coefficients YX of all the analysis areas in the addressing array, taking an average value to obtain a priority representation value of the addressing array, and performing variance calculation on the priority coefficients YX of all the analysis areas in the addressing array to obtain a priority deviation value of the addressing array; marking the difference value between the priority expression value and the priority deviation value of the address selection array as the address selection coefficient of the address selection array; translating the addressing array to the right side by taking an analysis area as a unit and re-acquiring the addressing coefficient of the addressing array; and the like, until the addressing array moves to the rightmost side, translating the addressing array downwards by taking an analysis area as a unit, re-acquiring the addressing coefficient of the addressing array, translating the addressing array leftwards by taking the analysis area as a unit, until the addressing array moves to the lower right corner of a power supply addressing area, completing a traversal simulation analysis process, marking the maximum value of the addressing coefficient in the traversal simulation analysis process as an integrated coefficient, acquiring an integrated threshold value through a storage module, comparing the integrated coefficient with the integrated threshold value, and marking a supplement area and the addressing area through a comparison result.
5. The wind-solar complementary power supply system according to claim 4, wherein the specific process of carrying out the combination coefficient and the combination threshold value comprises: if the comprehensive coefficient is smaller than the comprehensive threshold, generating an n x (n+1) addressing array at the upper left corner of the power supply addressing area, and performing traversal simulation analysis on the addressing array again until the comprehensive coefficient is not smaller than the comprehensive threshold; if the comprehensive coefficient is greater than or equal to the comprehensive threshold, an address selection set is formed by the analysis areas corresponding to the address selection array with the largest address selection coefficient, the elements in the address selection set are sequenced according to the sequence from the large value to the small value of the priority coefficient YX to obtain an address selection sequence, the first n analysis areas in the address selection sequence are marked as address selection areas, and the nth to the n+mth address selection areas in the address selection sequence are marked as supplementary areas.
6. The wind-solar complementary power supply system according to claim 5, wherein the specific process of the layout analysis module for performing layout analysis of wind-solar power generation equipment on the site selection area comprises the following steps: obtaining the wind power quantity and the photovoltaic quantity through the power generation requirement, the rated power of a power generation fan and the rated power of a photovoltaic electric plate, marking the ratio of the wind power quantity to n as a wind power average value, marking the ratio of the photovoltaic quantity to n as a photovoltaic average value, and marking the wind power average value and the photovoltaic average value as equipment distribution quantity of an address selection area with a forward difference value SC smaller than a preset forward difference threshold value; marking an addressing area with the forward difference value SC not smaller than a preset forward difference threshold value as a scheduling area, respectively arranging the scheduling areas according to the sequence from big to small of a wind shadow coefficient FY and a light shadow coefficient GY to obtain a wind shadow scheduling sequence and a light shadow scheduling sequence, distributing one power generation fan of the last scheduling area in the wind shadow scheduling sequence to the first scheduling area, distributing one power generation fan of the last but one scheduling area in the wind shadow scheduling sequence to the second scheduling area, and so on; and dispatching and distributing the photovoltaic electric plates according to the same quantity, after the quantity distribution of the photovoltaic electric plates and the power generation fans is completed, sending the equipment distribution quantity of all the site selection areas to a server, and sending the received equipment distribution quantity to a mobile phone terminal of a manager by the server.
7. The wind-solar complementary power supply system according to claim 6, wherein the terminal equipment comprises a power generation fan and a photovoltaic panel, the output ends of the power generation fan and the photovoltaic panel are electrically connected with an intelligent controller, the intelligent controller is electrically connected with a reverse control integrated machine, and the reverse control integrated machine is used for outputting electric quantity in the form of alternating current load or direct current load; the intelligent controller is in communication connection with the server.
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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011113219A1 (en) * 2010-03-15 2011-09-22 三一电气有限责任公司 Grid-connected wind-photovoltaic hybrid power generation system and power generation method thereof
US20160233682A1 (en) * 2013-09-30 2016-08-11 Jackseario Antonio Dionisio DO ROSARIO Power Quality of Service Optimization for Microgrids
CN109146204A (en) * 2018-09-27 2019-01-04 浙江中海达空间信息技术有限公司 A kind of wind power plant booster stations automatic addressing method of comprehensiveestimation
CN113128786A (en) * 2021-05-08 2021-07-16 河海大学 Wind, light and water complementary capacity and site selection optimization method based on space grid search
CN113256033A (en) * 2021-07-05 2021-08-13 广东电网有限责任公司惠州供电局 Power station site selection and volume fixing method, device, system and medium based on mode complementation
CN114662985A (en) * 2022-04-19 2022-06-24 武汉广旺科技有限公司 Mountain area power engineering site selection method and device based on oblique photography modeling and computer storage medium
CN116054167A (en) * 2023-03-06 2023-05-02 国网山东省电力公司聊城供电公司 Power grid comprehensive dispatching management system and method based on power distribution network flexible controller
CN116523211A (en) * 2023-04-12 2023-08-01 公安县前锋科技能源有限公司 Photovoltaic power station location method based on image recognition and multidimensional monitoring analysis

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011113219A1 (en) * 2010-03-15 2011-09-22 三一电气有限责任公司 Grid-connected wind-photovoltaic hybrid power generation system and power generation method thereof
US20160233682A1 (en) * 2013-09-30 2016-08-11 Jackseario Antonio Dionisio DO ROSARIO Power Quality of Service Optimization for Microgrids
CN109146204A (en) * 2018-09-27 2019-01-04 浙江中海达空间信息技术有限公司 A kind of wind power plant booster stations automatic addressing method of comprehensiveestimation
CN113128786A (en) * 2021-05-08 2021-07-16 河海大学 Wind, light and water complementary capacity and site selection optimization method based on space grid search
CN113256033A (en) * 2021-07-05 2021-08-13 广东电网有限责任公司惠州供电局 Power station site selection and volume fixing method, device, system and medium based on mode complementation
CN114662985A (en) * 2022-04-19 2022-06-24 武汉广旺科技有限公司 Mountain area power engineering site selection method and device based on oblique photography modeling and computer storage medium
CN116054167A (en) * 2023-03-06 2023-05-02 国网山东省电力公司聊城供电公司 Power grid comprehensive dispatching management system and method based on power distribution network flexible controller
CN116523211A (en) * 2023-04-12 2023-08-01 公安县前锋科技能源有限公司 Photovoltaic power station location method based on image recognition and multidimensional monitoring analysis

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
闫征;赵世文;马平;王文兴;: "大规模并网风电场选址及装机容量优化研究", 青岛大学学报(工程技术版), no. 02, 15 May 2018 (2018-05-15), pages 64 - 69 *

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