CN115310878B - Power space planning design method based on homeland space element data - Google Patents
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Abstract
The invention provides a power space planning and designing method based on homeland space element data, which comprises the following steps: constructing a basic analysis base map database based on the territorial spatial elements to generate a weight grid base map; carrying out site selection planning on the transformer substation based on the weight grid base map and a site selection algorithm; planning a line and a corridor based on the site selection planning of the transformer substation and the weight grid base map; and optimizing the line based on a path distortion algorithm to form a final planning corridor. The intelligent planning method disclosed by the invention fully utilizes the national soil space multivariate data, selects and integrates a proper algorithm, realizes the intelligent planning of site selection and corridor control of the power station, can avoid the difficulty in development and construction of later-stage municipal infrastructure caused by incomplete consideration of influence factors by manual operation and conflict with urban construction and national soil space strict management and control elements, and can greatly improve the working efficiency and improve the scientific rationality of the scheme by utilizing a computer intelligent planning system.
Description
Technical Field
The invention belongs to the technical field of power space planning, and particularly relates to a power space planning design method based on homeland space element data.
Background
In the prior art, the power space planning mainly analyzes data related to the transformer substation and the power line and the territorial space planning by people according to related technical standards and regulations, such as: the method is characterized in that the relation among various elements such as town planning, basic farmlands, ecological redlines, current power corridors, river systems, ecological environments, current building structures, current underground pipelines, historical cultural heritages and the like is comprehensively compared and finally determined to plan sites and plan line schemes on the premise of meeting relevant requirements such as space planning, land utilization, ecological protection, environmental impact, public safety and the like.
In the prior art, the relationship between a station address, a line and various influence elements needs to be artificially compared, and whether the requirements on space planning, land utilization, ecological protection, environmental influence, public safety and the like are met or not is judged according to related technical standards and laws. The method has the problems that the workload is large, tens of types of soil space elements are overlapped by manual judgment, the consideration is not comprehensive, the working time is long, the working efficiency is not high, and the obtained corridor is not the optimal scheme.
Disclosure of Invention
In view of this, the present invention is directed to a power space planning and designing method based on homeland space element data.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
a power space planning design method based on homeland space element data comprises the following steps:
(1) Constructing a basic analysis base map database based on the territorial spatial elements to generate a weight grid base map;
(2) Carrying out site selection planning on the transformer substation based on the weight grid base map and a site selection algorithm;
(3) Planning a line and a corridor based on the site selection planning of the transformer substation and the weight grid base map;
(4) And optimizing the line based on a path distortion algorithm to form a final planning corridor.
Further, the step (1) specifically comprises the following steps:
(101) Constructing a basic analysis base database which comprises a necessary element database and an optional element database;
(102) Extracting influence factor elements from the basic analysis base database, and dividing the influence factor elements into land factor types, engineering factor types and planning factor types;
(103) Giving weights to different influence factor elements and carrying out normalization processing;
(104) And (5) obtaining a base weight grid base map through calculation.
Further, the step (103) specifically includes:
according to the importance degree of different influence factor elements, protection distance and construction requirements are set in a Delphi investigation method and relevant standards of power planning and transformer substation design, the weight of the different influence factor elements on power space planning is determined, and weights corresponding to various optional and optional elements are formed; relevant standards of the power planning and the substation design such as urban power planning specification GB/T50293 2014, 220kV to 750kV substation design technical regulation DL/T5218-2012, 35kV to 220kV unattended substation design technical regulation DL/T5103-2012 and the like;
carrying out systematic evaluation on the importance of different factor types by using an analytic hierarchy process;
constructing a relative comparison judgment matrix P based on the element weight and the factor type importance evaluation scoring result, wherein N refers to the number of the influencing factor elements, i refers to rows, j refers to columns, a refers to rows ij Refers to the relative importance of the ith term influence factor element relative to the weight of the jth term influence factor element, where a ij >0 and a ij ×a ji =1, constructing an N × N relative comparison judgment matrix representing the importance comparison result of importance among different influence factor elements, wherein the relative comparison judgment matrix is in the basic form:
by adopting a Delphi investigation method, the importance of two pairs of matrix elements of the matrix is judged according to relative comparison, compared and scored, and the importance of corridor construction is evaluated.
Further, consistency check is carried out on the relative comparison judgment matrix, CI is defined as a consistency index, and lambda max is the only maximum characteristic value of the judgment matrix P, wherein CI = (lambda max-n)/(n-1), an average random consistency index RI is constructed, the consistency ratio CR = CI/RI, and when CR is less than 0.1, the matrix meets the consistency check and receives the weight; if CR >0.1, correcting the relative comparison judgment matrix.
Further, the step (2) specifically comprises the following steps:
(201) Selecting a site selection target range of a transformer substation;
(202) Setting the scale size of a transformer substation;
(203) And obtaining an area which accords with the construction of the transformer substation according to the selected corresponding size of the transformer substation on the weight grid base map and a site selection algorithm for assisting site selection.
Further, the site selection algorithm comprises an ecological priority algorithm, an economic priority algorithm, a balance algorithm and a custom weight algorithm.
Further, the step (3) comprises inputting a start point, a stop point and a gallery grade, judging whether the galleries are parallel through an algorithm, and selecting the power gallery meeting the conditions on the weight grid base map.
Further, the step (3) specifically includes the following steps:
(301) Acquiring the name, the grade and the center point coordinate of the transformer substation by reading the site selection planning scheme of the transformer substation;
(302) Inputting a planning power grid frame, and acquiring a line name, a starting point substation name, an end point substation name and a line grade;
(303) Judging the planned lines with the same starting point, end point and line grade as the same tower erection, and merging the planned lines into the same line;
(304) Sorting the line list by voltage class, wherein: u shape 1 >U 2 >U 3 >U ４ >…>U n ；
(305) On the basis of the weight grid base map, according to U 1 Defining grid resolution by the control width of the voltage level corridor, and rasterizing a weight base map;
(306) Using a cost path method at U 1 Calculating all U on the weight grid bottom graph under the voltage level resolution 1 The optimal cost paths of the grade lines are sorted according to the length of the lines from long to short;
(307) To U according to the length sequence 1 Optimizing the voltage grade paths one by one, and making primary linear buffer PL generated by the line between the initial substation and the final substation according to a cost path method All the time ；
(308) Screening for colonies on PL All the time U within buffer range 1 Voltage class other line, through two intersections of other lines and buffer region, to PL All the time Making a vertical line on the path;
(309) Defining grid resolution according to the sum of the widths of two line corridors in the buffer area by taking the two pendants as starting and stopping points, regridfying the weight base map, optimizing the path by using a cost path method, and recording the information of the optimized section line into a table;
(310) To U 1 Optimizing the next length line of the voltage class, buffering the cost path line, and repeating the steps 308-309 until U 1 Finishing the optimization of all the voltage grades;
(311) Modifying the weight base map according to the optimized line, and dividing U 1 The occupied pattern spot weight of the voltage level line corridor is assigned with the highest level value, and the highest level value cannot be occupied; and generating U at both sides of the corridor 2 The buffer area with the width of the voltage level corridor assigns the lowest level value to the spot weight occupied by the buffer area;
(312) On the basis of generating the weight base map in the last step, a cost path method is utilized to determine the position of the U 2 Calculating all U on the weight grid bottom graph under the voltage level resolution 2 The optimal cost paths of the grade lines are sequenced according to the line length from long to short;
(313) Repeating steps 307-311 until U 2 Finishing the optimization of all the voltage grades;
(314) Steps 305-311 are looped until all line optimizations for all voltage levels are complete.
Further, the step (4) includes extracting all break points on the line, and correcting line distortion brought by the grid algorithm through a path distortion algorithm to generate a final electric power corridor.
Further, the step (4) specifically includes the following steps:
(401) Extracting all optimized lines, and optimizing the line type of the scheme through a path distortion algorithm;
(402) Calculating the width of a corridor, wherein the width of the corridor is the sum of the widths of the corridors corresponding to the voltage levels of all the parallel lines;
(403) And generating a line buffer area according to the width of the corridor by using the optimized line central line as a final planning corridor.
Compared with the prior art, the power space planning and designing method based on the territorial space element data has the following advantages:
(1) On the basis of a national soil space planning system, the fields and attributes of the national soil space multivariate vector data of a third national soil survey, a digital elevation, a town development boundary, a basic farmland, an ecological red line, a special power planning project and the like are integrated and used for planning power facilities and corridors, various influence elements such as gradient, elevation, the town development boundary, the ecological red line, a permanent basic farmland, a traffic trunk line, a river system, a village, a current transformer substation, a current power line and the like are comprehensively considered, influence factor elements are extracted, weights are given to different influence factors and categories, the classification importance of the different factors is evaluated, a weight grid base map is generated and used as the basis of transformer substation layout and intelligent planning of the power line and the corridor, and the situation that the situation is not considered due to artificial subjective judgment of the planning is avoided;
(2) According to the conditions of land utilization policies, planning management files, relevant standard standards, power supply company requirements and the like, selecting a proper weight algorithm according to local conditions, automatically selecting a region suitable for building a transformer substation, and forming a transformer substation layout planning scheme for assisting planning personnel in making decisions;
(3) The invention analyzes the cost and route of the planned power line on the basis of the weight grid base map, simultaneously provides a parallel optimization algorithm and a route distortion correction algorithm to optimize the route selection scheme one by one, determines the planned central line and the width of the corridor, forms a corridor control planning scheme for assisting the decision of the planning personnel, and improves the scientific reasonability of the planning scheme.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation of the invention. In the drawings:
FIG. 1 is a schematic flow diagram of the process of the present invention;
FIG. 2 is a schematic diagram of a bottom view of the generated weight grid of the present invention;
FIG. 3 is a schematic diagram of resampling a weight grid base map according to the present invention;
FIG. 4 is a schematic diagram of an optimization path of the present invention;
FIG. 5 is a schematic diagram of a grid-based saw tooth path of the present invention;
FIG. 6 is a schematic diagram of the pass path distortion algorithm optimization scheme of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used only for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention. Furthermore, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first," "second," etc. may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless otherwise specified.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art through specific situations.
The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
As shown in fig. 1, the present invention provides a power space planning and designing method based on homeland space element data, which comprises the following steps:
step S01: and constructing a basic analysis base database.
Constructing a necessary element database: and extracting relevant pattern spot elements and attributes of current land, natural protected land, basic farmland protected area, current transformer substation, power line and the like from third national soil survey, digital elevation, town development boundary, basic farmland, ecological red line and special power planning to form a necessary element database. The required database element types and the list of extracted layers are shown in table one.
And constructing an optional element database, wherein the accuracy and the specialty degree of optional elements such as geographical and national condition general survey, traffic special planning, water system special planning and the like are superior to those of a necessary database, so that the accuracy of the line selection base map can be improved to a certain degree. Meanwhile, for example, the administrative division element is used as an optional element, and the route selection area can be arranged in a certain area, so that the later construction problem caused by intersection of the administrative divisions is avoided. The list of the optional database element types and the extracted layer is shown in table two.
Watch two
Step S02: and extracting influence factor elements from the base analysis base database.
According to research and relevant electric power specifications, electric power space planning influence factors are screened, and various factors such as residential land, industrial and mining land, town development boundary, traffic corridor, current facility, ecological red line, basic farmland, unused land, natural or wild animal protection area, water body, forest land, cultivated land, grassland, traffic accessibility, cross-over, gradient, geology, corner, distance and the like are comprehensively considered in the planning and compiling process. These factors are diverse in variety, diverse in origin, both quantitative and qualitative, and play different roles in planning schemes. According to the characteristics of the factors, the factors are divided into three categories, namely a ground factor category, an engineering factor category and a planning factor category. The power space planning impact factor classification is shown in table three.
Watch III
The table four shows a table of the extraction and screening conditions for the pattern spot elements of the factors necessary for power space planning influence.
Watch four
The table five shows a table of the power space planning influence selectable factor pattern spot element extraction and screening conditions.
Watch five
Note: the databases and the fields are typical databases selected, and flexible selection can be performed according to planning conditions in specific application
Step S03: weights are assigned to different influencing factors and factor classes.
According to the importance degrees of different influence factor elements, protection distance and construction requirements are set in a Delphi survey method and relevant standards of power planning and substation design, weight scores WN of the different influence factor elements on power space planning are determined, weights corresponding to various optional elements are formed, and weight grouping values GN from 9 to 1 are sequentially given according to the importance degrees and the constructability grades. The construction difficulty weight score list is shown in table six.
Watch six
The table seven shows a typical construction factor pattern spot construction difficulty weight division list.
Watch seven
Step S04: evaluation of the importance of the Classification of the different factors
The importance of different factor types is systematically evaluated by using The Analytic Hierarchy Process (AHP for short), a judgment matrix factor classification importance evaluation scoring list is formed, and The scoring list is scaled by 1-9 so as to compare The factors with different importance levels. The decision matrix factor classification importance evaluation scoring list is shown in table eight.
Watch eight
Constructing a relative comparison judgment matrix P based on the element weight and the factor type importance evaluation scoring result, wherein N refers to the number of the influencing factor elements, i refers to rows, j refers to columns, a refers to rows ij Refers to the relative importance of the ith term influence factor element relative to the weight of the jth term influence factor element, where a ij >0 and a ij ×a ji And =1. Constructing an NxN relative comparison judgment matrix to express an importance comparison result of importance among different influence factor elements, wherein the basic form of the relative comparison judgment matrix is as follows:
by adopting a Delphi survey method, experts in related fields are invited to judge the importance of two pairs of matrix elements of the matrix according to relative comparison and compare and score, and the importance of corridor construction is evaluated.
And (3) consistency test: the consistency problem of the relative comparison judgment matrix is prevented, and consistency check is introduced. CI is defined as a consistency index, and lambda max is the only maximum eigenvalue of the judgment matrix P. CI = (λ max-n)/(n-1). That is, the larger the consistency index CI, the more inconsistent the entire matrix. And then, an average random consistency index RI is constructed, and the RI can be obtained by searching an average consistency index numerical table of Thomas L. Saaty, namely the random average consistency when the order of the matrix is n. The consistency ratio CR = CI/RI, when CR <0.1, we consider this matrix to satisfy the consistency check, the weight is acceptable; if CR >0.1, then the relative comparison determination matrix needs to be corrected. The numerical table of the average consistency index RI (RandomIndex) is shown in Table nine.
Watch nine
Solving the characteristic equation PW = λ max W thus gives the weight of each influencing factor. W is corresponding to λ max The components of W are the weight values of the corresponding element ranks. According to the formula:
in the formula，P ij A judgment matrix formed by the importance of the types of i influence factors and j influence factors; w is a j Is a normalized weight vector; n is the order of the matrix.
Step S05: and generating a bottom graph of the weight grid. As shown in fig. 2.
Adding construction difficulty scoring fields to different element layers, assigning the construction difficulty scoring according to the construction difficulty weighting scoring list, converting the construction difficulty scoring into a grid map with the resolution of 1M, multiplying the construction difficulty scoring of the grid and weighting coefficients determined by the importance system evaluation of the element types by using a grid calculator, and performing addition calculation on different layers to obtain a weighting grid base map which is basic data of the next intelligent planning.
Step S06: and planning the layout of the transformer substation.
The site selection target range of the transformer substation is set, and site selection algorithms including an ecological priority algorithm, an economic priority algorithm, a balance algorithm, a custom weight algorithm and the like can be selected according to local conditions according to conditions such as local land utilization policies, planning management files, requirements of power supply companies and the like.
Ecological priority algorithm: defining the site selection condition which occupies little or no ecological land as much as possible, and occupying as little as possible areas which are difficult to restore ecologically at high altitude and current situations and planned areas such as ecological protection areas, public welfare forests and the like according to land factors, planning factors and engineering factors specified in the step S03.
The economic priority algorithm comprises the following steps: and the site selection algorithm occupies less or does not occupy the areas such as forest lands, agricultural lands, current built areas and the like needing land acquisition compensation as much as possible.
And (3) balance algorithm: and under the condition that the area needing to be removed and compensated or occupied with the ecological land cannot be avoided, selecting an address selection algorithm which preferentially occupies the ecological land or the farmland or the forest land and the area with lower compensation of the current situation built-up area.
The self-defined weight algorithm:
and (3) manually judging the condition of the address selection area, and manually customizing the address selection standard according to experience, for example, an address selection algorithm that the elevation of the address selection is less than or equal to a certain numerical value and the address selection area only occupies the current grassland area.
The attributes of the substation, such as size, type, class, size, etc., are selected from the list according to local power company requirements and power related regulatory standards. As shown in table ten.
Watch ten
And on the weight grid base map generated in the step S05, an area suitable for building the transformer substation is planned according to the selected algorithm by inputting the corresponding size of the transformer substation to be selected, and the planning personnel is assisted to determine the final site selection.
Step S07: and acquiring the name, the grade and the center point coordinate of the transformer substation by using the transformer substation layout planning scheme. As shown in table eleven.
Watch eleven
Step S08: inputting a planning power grid frame, and acquiring a line name, a starting point substation name, an end point substation name and a line grade. As shown in table twelve.
Watch twelve
Step S09: and judging the planned lines with the same starting point, end point and line grade as the same tower erection, and merging the planned lines into the same line. As shown in table thirteen.
Watch thirteen
Step S10: the list of lines is sorted by voltage class.Wherein: u shape 1 >U 2 >U 3 >U ４ ＞……>U n . The width of each corridor can be determined by combining the local practical condition to control the width of each voltage level corridor on the basis of meeting the specification requirement. As shown in table fourteen.
Table fourteen
Step S11: on the basis of the weight grid base map generated in step S05, according to U 1 And the grid resolution is defined by the control width of the voltage level corridor, and the weight grid base map is resampled. As shown in fig. 3.
Step S12: using a cost path method in U 1 Calculating all U on the weighted grid base under the voltage level resolution 1 And (4) sorting the optimal cost paths of the grade lines according to the line length from long to short. As shown in table fifteen.
Fifteen items of table
Step S13: to U according to the length sequence 1 The voltage class paths are optimized one by one. Making PL according to empirical values EB 500m buffer (buffer range can be increased as the case may be).
Step S14: screening for colonies on PL EB U in the buffer area range of 500m 1 Voltage class other line, through two intersections of other lines and buffer region, to PL EB The path is perpendicular. As shown in fig. 4.
Step S15: and (3) taking the two feet as start and stop points, defining the grid resolution according to the sum of the widths of the two line corridors in the buffer area, re-rasterizing the weight base map, optimizing the path by using a cost path method, and recording the line information of the optimized section into a table. The optimization segment line does not participate in subsequent optimization work any more. As shown in table sixteen.
Watch sixteen
Step S16: to U 1 The next length of line is optimized for voltage class. A 500m buffer is made for the cost path lines. Step S14 and step S15 are cycled until U 1 And finishing all line optimization of the voltage classes.
Step S17: modifying the weight base map according to the optimized line, and dividing U 1 The voltage level line corridor occupation pattern spot weight is assigned to be 9 (the weight is the highest level according to the table six), and the voltage level line corridor occupation pattern spot cannot be occupied; and generating U on both sides of the corridor 2 For the buffer with the width of the voltage level corridor, the weight of the occupied pattern spot of the buffer is assigned to 1 (the weight is the lowest level, according to the sixth table).
Step S18: on the basis of generating the weight base map in the last step, a cost path method is utilized to determine the position of the U 2 Calculating all U on the weighted grid base under the voltage level resolution 2 And (4) sorting the optimal cost paths of the grade lines according to the line length from long to short. As shown in table seventeen.
Seventeen Table
Step S19: repeating steps S13-S17 until U 2 And finishing the whole line optimization of the voltage level.
Step S20: and looping steps S17-S18 and steps S13-18 until all voltage levels are finished with line optimization.
Step S21: and extracting all optimized lines, and optimizing the line type of the scheme through a path distortion algorithm.
The cost of a tangent tower of the electric power gallery is greatly lower than that of a corner tower, so that the number of corners needs to be considered and reduced during line design, a planned line is relatively smooth, path distortion is mainly caused by the defects of a cost surface model, and a sawtooth-shaped line segment is locally calculated on the gallery due to grids and algorithms adopted during line selection. As shown in fig. 5.
The path distortion correction algorithm keeps the basic shape of the line, simultaneously guarantees that the line segment does not pass through a no-passing area or a high-cost area under the condition of considering the current situation of the periphery and the planned terrain and terrain, and removes redundant corner points as much as possible to enable the optimized line to be more reasonable.
As shown in fig. 6. Let the line need to be optimized be PL 1X， Extracting break points P on all lines 1 To P X Deletion of P 2 Then, comparing with the non-passable area and the high-cost area with the weight score WN more than or equal to 7 in the weight construction difficulty in the construction difficulty weight score list table without rasterization, and deleting the break point P if the non-passable area and the high-cost area do not intersect 2， Connection P 1 And P 3 (ii) a If there is intersection, then the slave P 2 Make line segment P 1 And P 3 Perpendicular line of (1), with the foot being H, on line segment P 2 Find a point P between Y and 2’ guarantee P 2’ Does not pass through the region with WN more than or equal to 7 and P 2’ Nearest to Y, connecting to P 1 And P 2’ And P 3 . Re-deleting P 3 Calculate P 2’ And P 4 And if the WN is larger than or equal to 7, circulating the steps until the break point Px, and finishing the line optimization.
Step S22: and calculating the width of the corridor. Corridor width = the sum of corridor widths for each parallel line voltage level.
Step S23: and generating a line buffer area according to the width of the corridor by using the optimized line central line as a final planning corridor.
The intelligent planning method disclosed by the invention fully utilizes multivariate data, selects and integrates a proper algorithm, realizes intelligent planning of site selection and corridor control of the power station, can avoid incomplete consideration of artificial operation on influence factors and conflict with strict management and control elements to cause difficulty in development and construction of later-stage municipal infrastructure, can greatly improve the working efficiency by utilizing a computer intelligent planning system, improves the scientific reasonability of the scheme, realizes optimization of the scheme through the algorithm, saves later-stage construction cost, avoids land cutting caused by cutting the country soil, reduces early-stage preparation and basic analysis work of municipal infrastructure planning, provides vector analysis results and a preliminary scheme, and assists a planner in deciding a planning scheme. The scheme of the invention has wide application prospect in power space planning of various city levels, district levels and township levels.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. A power space planning design method based on homeland space element data is characterized in that: the method comprises the following steps:
(1) Constructing a basic analysis base map database based on the territorial spatial elements to generate a weight grid base map;
(2) Carrying out site selection planning on the transformer substation based on the weight grid base map and a site selection algorithm;
(3) Planning a line and a corridor based on the site selection planning of the transformer substation and the weight grid base map;
(4) Optimizing the line based on a path distortion algorithm to form a final planning corridor;
the step (3) specifically comprises the following steps:
(301) Acquiring the name, the grade and the center point coordinate of the transformer substation by reading the site selection planning scheme of the transformer substation;
(302) Inputting a planning power grid frame, and acquiring a line name, a starting point transformer substation name, a destination transformer substation name and a line grade;
(303) Judging the planned lines with the same starting point, end point and line grade as the same tower erection, and merging the planned lines into the same line;
(304) Sorting the line list by voltage class, wherein: u shape 1 >U 2 >U 3 >U ４ >…>U n Determining the control width of each voltage level corridor;
(305) On the basis of the weight grid base map, according to U 1 Defining grid resolution by the control width of the voltage level corridor, and rasterizing a weight base map;
(306) Using a cost path method at U 1 Calculating all U on the weighted grid base under the voltage level resolution 1 The optimal cost paths of the grade lines are sequenced according to the line length from long to short;
(307) To U according to length sequence 1 Optimizing the voltage grade paths one by one, and generating a primary linear buffer area PL between the initial substation and the final substation according to a cost path method All the time ；
(308) Screening for colonies on PL All the time U within buffer range 1 Voltage class other line, through two intersections of other lines and buffer region, to PL All the time Making a vertical line on the path;
(309) Defining grid resolution according to the sum of the widths of two line corridors in the buffer area by taking the two pendants as starting and stopping points, regridfying the weight base map, optimizing the path by using a cost path method, and recording the information of the optimized section line into a table;
(310) To U 1 Optimizing the line with the next length according to the voltage level, buffering the cost path line, and circulating the steps (308) to (309) until U 1 Finishing the optimization of all the voltage grades;
(311) Modifying the weight base map according to the optimized line, and converting U 1 The occupied pattern weight of the voltage-class line corridor gives the highest-class value, and the highest-class value cannot be occupied; and generating U at both sides of the corridor 2 The buffer area with the width of the voltage level corridor assigns the lowest level value to the spot weight occupied by the buffer area;
(312) On the basis of generating the weight base map in the last step, a cost path method is utilized to determine the position of the U 2 Calculating all U on the weight grid bottom graph under the voltage level resolution 2 The optimal cost paths of the grade lines are sorted according to the length of the lines from long to short;
(313) Repeating steps (307) - (311) until U 2 Finishing the optimization of all the voltage grades;
(314) Looping steps (305) - (311) until all line optimizations for all voltage levels are finished;
the step (4) specifically comprises the following steps:
(401) Extracting all optimized lines, and optimizing the line type of the scheme through a path distortion algorithm;
(402) Calculating the width of a corridor, wherein the width of the corridor is the sum of the widths of the corridors corresponding to the voltage levels of all the parallel lines;
(403) And generating a line buffer area as a final planning corridor according to the corridor width by using the optimized line central line.
2. The power space planning and designing method based on homeland space element data according to claim 1, characterized in that: the step (1) specifically comprises the following steps:
(101) Constructing a basic analysis base database which comprises a necessary element database and an optional element database;
(102) Extracting influence factor elements from the basic analysis base database, and dividing the influence factor elements into land factor categories, engineering factor categories and planning factor categories;
(103) Giving weights to different influence factor elements and carrying out normalization processing;
(104) And calculating to obtain a base weight grid base map.
3. The power space planning and design method based on homeland space element data according to claim 2, wherein: the step (103) specifically includes:
according to the importance degree of different influence factor elements, protection distance and construction requirements are set in a Delphi investigation method and relevant standards of power planning and transformer substation design, the weight of the different influence factor elements on power space planning is determined, and weights corresponding to various optional and optional elements are formed;
carrying out systematic evaluation on the importance of different factor types by using an analytic hierarchy process;
constructing a relative comparison judgment matrix P based on the element weight and the factor type importance evaluation scoring result, wherein N is an influence factorNumber of elements, i for rows, j for columns, a ij Refers to the relative importance of the ith term influence factor element relative to the weight of the jth term influence factor element, where a ij >0 and a ij ×a ji =1, constructing an N × N relative comparison determination matrix representing the importance comparison result of importance between different influence factor elements, the relative comparison determination matrix having the basic form:
and comparing and scoring the importance of two pairs of matrix elements of the matrix according to the relative comparison judgment by adopting a Delphi survey method, and evaluating the importance of gallery construction.
4. The power space planning and design method based on homeland space element data according to claim 3, wherein: the method further comprises the steps of carrying out consistency check on the relative comparison judgment matrix, defining CI as a consistency index, and defining lambda max as the only maximum characteristic value of the judgment matrix P, wherein CI = (lambda max-n)/(n-1), constructing an average random consistency index RI, and the consistency ratio CR = CI/RI, wherein when CR is less than 0.1, the matrix meets the consistency check, and receives the weight; if CR >0.1, correcting the relative comparison judgment matrix.
5. The power space planning and design method based on homeland space element data according to claim 1, wherein: the step (2) specifically comprises the following steps:
(201) Selecting a site selection target range of a transformer substation;
(202) Setting the scale size of a transformer substation;
(203) And obtaining an area which accords with the construction of the transformer substation according to the selected corresponding size of the transformer substation on the weight grid base map and a site selection algorithm for assisting site selection.
6. The power space planning and design method based on homeland space element data according to claim 5, wherein: the site selection algorithm comprises an ecological priority algorithm, an economic priority algorithm, a balance algorithm and a self-defined weight algorithm.
7. The power space planning and design method based on homeland space element data according to claim 1, wherein: and (3) inputting a start point, a stop point and a gallery grade, judging whether galleries are merged through an algorithm, and selecting a power gallery meeting the conditions on the weight grid base map.
8. The power space planning and designing method based on homeland space element data according to claim 1, characterized in that: and (4) extracting all the break points on the line, correcting the line distortion brought by the grid algorithm through a path distortion algorithm, and generating the final electric power corridor.
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