CN116187578A - Wind farm booster station site selection method and system - Google Patents

Wind farm booster station site selection method and system Download PDF

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CN116187578A
CN116187578A CN202310237838.1A CN202310237838A CN116187578A CN 116187578 A CN116187578 A CN 116187578A CN 202310237838 A CN202310237838 A CN 202310237838A CN 116187578 A CN116187578 A CN 116187578A
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段瑞龙
王吉超
由梓默
郑权
史立志
刘畅
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Hebei Branch Of Huaneng New Energy Co ltd
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Abstract

The invention provides a method and a system for selecting addresses of a wind farm booster station, which relate to the technical field of wind power and comprise the following steps: acquiring geographic environment information of a wind farm through a GIS system, and collecting facility equipment information; constructing a booster station construction cost function according to the geographic environment information of the wind farm and the facility equipment information; and iterating the position of the booster station by taking the global minimum of the construction cost function of the booster station as an optimizing target to obtain the address selection result of the booster station. The invention utilizes GIS technology to analyze and arrange the geographical information of wind farm, and provides more accurate technical means for site selection of wind farm booster stations.

Description

Wind farm booster station site selection method and system
Technical Field
The invention relates to the technical field of wind power, in particular to a wind power plant booster station site selection method and system.
Background
Wind power generation is widely used as a clean renewable energy source. Wind power technology also develops from the past self-powered and independently operated small wind power generators into a multi-pole combined grid-connected operation large wind power generation field. The booster station is a heart of the wind power plant and plays a role in boosting the output voltage of the wind turbine generator to a higher-level voltage and sending the voltage. Therefore, the site selection of the booster station is an important work of engineering. The traditional wind power plant booster station site selection mostly depends on engineering experience and comprehensive analysis of a topographic map, point positions with proper positions are selected in the wind power plant range to serve as alternative schemes of booster station site selection, and then the preferred schemes of booster station site selection are determined through economic cost evaluation and measurement of various in-situ limiting factors. The method not only consumes a great deal of time, but also can influence the accuracy of the site selection scheme and compromise the economy of the whole wind power investment project because of personal errors.
With the development of a geographic information system (Geographic Information System, GIS), the combination of the GIS and the wind power industry is also gradually and tightly researched. The geographic information of the wind power plant is analyzed and arranged by using the GIS technology, so that a more accurate technical means can be provided for site selection of the wind power plant booster station. However, the existing research on site selection has the following defects: the site selection factors are listed in most of researches, the wind power related data are integrated into a database, the utilization of the data is not deep enough, and the planning method is simple; the wind field position is studied in a fuzzy set mode, and the fuzzy set attention parameter is too single, so that the influence of other site selection factors on the wind field site selection cannot be ensured.
Disclosure of Invention
Aiming at the defects in the prior art, the method and the system for selecting the address of the wind farm booster station solve the problems that the existing wind farm booster station address selecting technology is not deep in data utilization and single in parameters, so that the address selecting effect is poor.
In order to achieve the aim of the invention, the invention adopts the following technical scheme:
in a first aspect, a method for selecting a site for a booster station of a wind farm includes the steps of:
s1, acquiring geographical environment information of a wind power plant through a GIS system, and collecting facility equipment information;
s2, constructing a booster station construction cost function according to the geographic environment information of the wind power plant and the facility equipment information;
and S3, iterating the position of the booster station by taking the global minimum of the construction cost function of the booster station as an optimizing target, and obtaining the address selection result of the booster station.
Further, the wind farm geographical environment information and facility equipment information include: the method comprises the steps of total number of fans, construction cost of lines in unit length, construction cost of a booster station, position coordinates of each fan, cost for converting power loss of lines in unit length, installed capacity of each fan, running cost of the booster station, cost for placing a unit gradient of the booster station, construction cost of a road in unit length of an approach of the booster station and geographical limit of a construction forbidden area of the booster station.
Further, the booster station construction cost function is:
F cc ＝C I +C O +C S +C R
Figure BDA0004123125110000031
wherein ,Fcc To build cost function for booster station, C I C for building up the cost of the booster station O To boost station operation cost, C S For the step-up station to place gradient cost, C R For building cost of the approach road of the booster station, i is the index mark of the booster station, j is the index mark of the blower, N is the total number of the booster stations, M is the total number of the blowers,
Figure BDA0004123125110000032
the construction cost of the line per unit length is l ij For the length of the line from the ith booster station to the jth fan, f i The building cost for the ith booster station.
Further, the calculation expression of the operation cost of the booster station is as follows:
Figure BDA0004123125110000033
wherein, kappa is the power loss of the line per unit length to reduce the cost, W j For the installed capacity of the jth fan, u i Is the running cost of the ith booster station.
Further, the calculation expression of the booster station placement gradient cost is as follows:
Figure BDA0004123125110000034
wherein ,
Figure BDA0004123125110000035
placing average unit gradient cost, θ, for booster station ij And the gradient difference value between the ith booster station and the jth fan is obtained.
Further, the calculation expression of the building cost of the approach road of the booster station is as follows:
Figure BDA0004123125110000044
wherein ,
Figure BDA0004123125110000043
building cost for unit length of approach road of booster station, R i And the road length of approach of the ith booster station.
Further, the step S3 includes the following sub-steps:
s31, geographically limiting positions outside a forbidden building area of the booster stations in a wind power field, and randomly setting initial positions of the booster stations;
s32, establishing booster station position iteration by taking the global minimum of the booster station construction cost function as an optimizing target;
and S33, iterating the position of the booster station until convergence according to the position iteration of the booster station, and obtaining the booster station address selection result.
Further, the booster station position iteration is:
Figure BDA0004123125110000041
Figure BDA0004123125110000042
wherein ,xi (k) For the position x at the kth iteration of the ith booster station i (k+1) is the position at the kth+1th iteration of the ith booster station, x i′ (k) For the position of the ith booster station at the kth iteration, alpha is the first iteration step length, rand is a random real number obeying uniform distribution of more than or equal to 0 and less than 1, beta is the second iteration step length, e is a natural constant, gamma is an exponential coefficient, and x no And (5) prohibiting building of an area for the geographically limited booster station.
In a second aspect, a wind farm booster station location system, which adopts the wind farm booster station location method, includes: the system comprises an information acquisition subsystem, an objective function construction subsystem and an address selection optimizing subsystem;
the information acquisition subsystem is used for acquiring the geographic environment information of the wind power plant through the GIS system and collecting facility equipment information;
the objective function construction subsystem is used for constructing a booster station construction cost function according to the geographic environment information of the wind power plant and the facility equipment information;
the address selection optimizing subsystem is used for iterating the position of the booster station by taking the global minimum of the construction cost function of the booster station as an optimizing target to obtain the address selection result of the booster station.
The beneficial effects of the invention are as follows:
(1) The geographic information of the wind power plant is analyzed and arranged by using the GIS technology, and a more accurate technical means is provided for site selection of the wind power plant booster station.
(2) The construction cost function integrates the engineering information of the geographical information and the facility equipment information of each wind power plant, and utilizes the data in multiple layers and multiple elements to comprehensively analyze the influence of the position of the booster station on the construction and operation benefits of the wind power plant.
(3) The iteration method based on the iteration method not only considers the factors of the mutual influence of the booster stations, but also adds random disturbance factors through uniformly distributed random real number items to prevent iteration from sinking into a local optimal solution, and considers the geographical limit booster station forbidden building area, so that the address automatic searching capability of the booster stations is high, and compared with the prior art, the global optimal solution can be more searched.
Drawings
FIG. 1 is a flow chart of a method for selecting addresses of a wind farm booster station provided by an embodiment of the invention;
fig. 2 is a block diagram of a location system of a wind farm booster station according to an embodiment of the present invention.
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. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
As shown in fig. 1, in one embodiment of the present invention, a method for locating a wind farm booster station includes the steps of:
s1, acquiring geographical environment information of a wind power plant through a GIS system, and collecting facility equipment information.
The wind farm geographical environment information and facility equipment information include: the method comprises the steps of total number of fans, construction cost of lines in unit length, construction cost of a booster station, position coordinates of each fan, cost for converting power loss of lines in unit length, installed capacity of each fan, running cost of the booster station, cost for placing a unit gradient of the booster station, construction cost of a road in unit length of an approach of the booster station and geographical limit of a construction forbidden area of the booster station.
S2, constructing a booster station construction cost function according to the geographical environment information of the wind power plant and the facility equipment information.
The construction cost function of the booster station is as follows:
F cc ＝C I +C O +C S +C R
Figure BDA0004123125110000071
wherein ,Fcc To build cost function for booster station, C I C for building up the cost of the booster station O To boost station operation cost, C S For the step-up station to place gradient cost, C R For building cost of the approach road of the booster station, i is the index mark of the booster station, j is the index mark of the blower, N is the total number of the booster stations, M is the total number of the blowers,
Figure BDA0004123125110000078
the construction cost of the line per unit length is l ij For the length of the line from the ith booster station to the jth fan, f i The building cost for the ith booster station.
The calculation expression of the operation cost of the booster station is as follows:
Figure BDA0004123125110000073
wherein, kappa is the power loss of the line per unit length to reduce the cost, W j For the installed capacity of the jth fan, u i Is the running cost of the ith booster station.
The calculation expression of the gradient cost of the booster station is as follows:
Figure BDA0004123125110000074
wherein ,
Figure BDA0004123125110000075
placing average unit gradient cost, θ, for booster station ij For the gradient of the ith booster station and the jth fanDifference value.
The calculation expression of the construction cost of the approach road of the booster station is as follows:
Figure BDA0004123125110000076
wherein ,
Figure BDA0004123125110000077
building cost for unit length of approach road of booster station, R i And the road length of approach of the ith booster station.
And S3, iterating the position of the booster station by taking the global minimum of the construction cost function of the booster station as an optimizing target, and obtaining the address selection result of the booster station.
Step S3 comprises the following sub-steps:
s31, geographically limiting positions outside a forbidden area of the booster stations in the wind power field, and randomly setting initial positions of the booster stations.
S32, establishing booster station position iteration by taking the global minimum of the booster station construction cost function as an optimizing target.
The booster station position iteration formula is:
Figure BDA0004123125110000081
Figure BDA0004123125110000082
wherein ,xi (k) For the position x at the kth iteration of the ith booster station i (k+1) is the position at the kth+1th iteration of the ith booster station, x i′ (k) Is the ith ′ The position of the booster station at the kth iteration is alpha is a first iteration step length, rand is a random real number obeying uniform distribution which is more than or equal to 0 and less than 1, beta is a second iteration step length, e is a natural constant, gamma is an exponential coefficient, and x no And (5) prohibiting building of an area for the geographically limited booster station.
And S33, iterating the position of the booster station until convergence according to the position iteration of the booster station, and obtaining the booster station address selection result.
As shown in fig. 2, a wind farm booster station location system, adopting the wind farm booster station location method, includes: the system comprises an information acquisition subsystem, an objective function construction subsystem and an address selection optimizing subsystem.
The information acquisition subsystem is used for acquiring the geographic environment information of the wind power plant through the GIS system and collecting facility equipment information.
And the objective function construction subsystem is used for constructing a booster station construction cost function according to the geographic environment information of the wind power plant and the facility equipment information.
And the address selection optimizing subsystem is used for iterating the position of the booster station by taking the global minimum of the construction cost function of the booster station as an optimizing target to obtain the address selection result of the booster station.
The invention utilizes GIS technology to analyze and arrange the geographical information of wind farm, and provides more accurate technical means for site selection of wind farm booster stations. The construction cost function integrates the engineering information of the geographical information of each wind power plant and the facility equipment information, and the influence of the position of the booster station on the construction and operation benefits of the wind power plant is comprehensively analyzed by using the data in multiple layers and multiple elements. The iteration method based on the iteration method not only considers the factors of the mutual influence of the booster stations, but also adds random disturbance factors through uniformly distributed random real number items to prevent iteration from sinking into a local optimal solution, and considers the geographical limit booster station forbidden building area, so that the address automatic searching capability of the booster stations is high, and compared with the prior art, the global optimal solution can be more searched.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (9)

1. The wind farm booster station site selection method is characterized by comprising the following steps of:
s1, acquiring geographical environment information of a wind power plant through a GIS system, and collecting facility equipment information;
s2, constructing a booster station construction cost function according to the geographic environment information of the wind power plant and the facility equipment information;
and S3, iterating the position of the booster station by taking the global minimum of the construction cost function of the booster station as an optimizing target, and obtaining the address selection result of the booster station.
2. The wind farm booster station site selection method of claim 1, wherein the wind farm geographic environment information and facility equipment information comprises: the method comprises the steps of total number of fans, construction cost of lines in unit length, construction cost of a booster station, position coordinates of each fan, cost for converting power loss of lines in unit length, installed capacity of each fan, running cost of the booster station, cost for placing a unit gradient of the booster station, construction cost of a road in unit length of an approach of the booster station and geographical limit of a construction forbidden area of the booster station.
3. The wind farm booster station site selection method of claim 2, wherein the booster station construction cost function is:
F cc ＝ I + O + S + R
Figure FDA0004123125090000011
wherein ,Fcc To build cost function for booster station, C I C for building up the cost of the booster station o To boost station operation cost, C S For the step-up station to place gradient cost, C R For building cost of a booster station approach road, i is a booster station index mark, j is a fan index mark, N is the total number of booster stations, M is the total number of fans, θ is the line building cost per unit length, l ij For the length of the line from the ith booster station to the jth fan, f i The building cost for the ith booster station.
4. A wind farm booster station site selection method according to claim 3, wherein the booster station operating cost is calculated as:
Figure FDA0004123125090000021
wherein, kappa is the power loss of the line per unit length to reduce the cost, W j For the installed capacity of the jth fan, u i Is the running cost of the ith booster station.
5. The wind farm booster station site selection method of claim 4, wherein the booster station placement gradient cost is calculated as:
Figure FDA0004123125090000022
wherein ,
Figure FDA0004123125090000023
placing average unit gradient cost, θ, for booster station ij And the gradient difference value between the ith booster station and the jth fan is obtained.
6. The wind farm booster station location method of claim 5, wherein the booster station approach road construction cost is calculated as:
Figure FDA0004123125090000024
wherein ,
Figure FDA0004123125090000025
building cost for unit length of approach road of booster station, R i And the road length of approach of the ith booster station.
7. The method for locating a wind farm booster station according to claim 6, wherein the step S3 comprises the following sub-steps:
s31, geographically limiting positions outside a forbidden building area of the booster stations in a wind power field, and randomly setting initial positions of the booster stations;
s32, establishing booster station position iteration by taking the global minimum of the booster station construction cost function as an optimizing target;
and S33, iterating the position of the booster station until convergence according to the position iteration of the booster station, and obtaining the booster station address selection result.
8. The wind farm booster station site selection method of claim 7, wherein the booster station location iterations are:
Figure FDA0004123125090000031
Figure FDA0004123125090000032
wherein ,xi (k) For the position x at the kth iteration of the ith booster station i (k+1) is the position at the kth+1th iteration of the ith booster station, x i′ (k) Is the ith ′ The position of the booster station at the kth iteration is alpha is a first iteration step length, rand is a random real number obeying uniform distribution which is more than or equal to 0 and less than 1, beta is a second iteration step length, e is a natural constant, gamma is an exponential coefficient, and x no And (5) prohibiting building of an area for the geographically limited booster station.
9. A wind farm booster station location system, characterized in that a wind farm booster station location method according to any of claims 1 to 8 is used, comprising: the system comprises an information acquisition subsystem, an objective function construction subsystem and an address selection optimizing subsystem;
the information acquisition subsystem is used for acquiring the geographic environment information of the wind power plant through the GIS system and collecting facility equipment information;
the objective function construction subsystem is used for constructing a booster station construction cost function according to the geographic environment information of the wind power plant and the facility equipment information;
the address selection optimizing subsystem is used for iterating the position of the booster station by taking the global minimum of the construction cost function of the booster station as an optimizing target to obtain the address selection result of the booster station.
CN202310237838.1A 2023-03-13 2023-03-13 Wind farm booster station site selection method and system Pending CN116187578A (en)

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Citations (3)

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Publication number Priority date Publication date Assignee Title
CN111985691A (en) * 2020-07-20 2020-11-24 明阳智慧能源集团股份公司 Site selection method for wind power plant booster station
CN111985690A (en) * 2020-07-20 2020-11-24 明阳智慧能源集团股份公司 Site selection method for booster station of wind power base
WO2021253291A1 (en) * 2020-06-17 2021-12-23 上海电气风电集团股份有限公司 Wind farm layout optimization method and optimization system, and computer-readable storage medium

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Publication number Priority date Publication date Assignee Title
WO2021253291A1 (en) * 2020-06-17 2021-12-23 上海电气风电集团股份有限公司 Wind farm layout optimization method and optimization system, and computer-readable storage medium
CN111985691A (en) * 2020-07-20 2020-11-24 明阳智慧能源集团股份公司 Site selection method for wind power plant booster station
CN111985690A (en) * 2020-07-20 2020-11-24 明阳智慧能源集团股份公司 Site selection method for booster station of wind power base

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