CN115186944A - Urban power distribution network planning method and system - Google Patents

Urban power distribution network planning method and system Download PDF

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CN115186944A
CN115186944A CN202211122665.0A CN202211122665A CN115186944A CN 115186944 A CN115186944 A CN 115186944A CN 202211122665 A CN202211122665 A CN 202211122665A CN 115186944 A CN115186944 A CN 115186944A
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徐金栋
黄凤标
吕冰
汪碧霞
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Xuancheng Power Supply Co of State Grid Anhui Electric Power Co Ltd
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Xuancheng Power Supply Co of State Grid Anhui Electric Power Co Ltd
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Abstract

The invention belongs to the technical field of power distribution network planning, and particularly relates to a method and a system for planning an urban power distribution network. According to the method, a transformer substation and a feeder line are combined together for analysis in the planning process of the power distribution network, the change trend value of the power consumption load over the years is taken as the basis, the weight coefficient of the corresponding block level is taken as an auxiliary basis, the prediction of the future power consumption load is made by combining the current power consumption load data, and then on the premise that all environmental constraint conditions and power consumption load constraint are met, the power consumption load between the transformer substation and a power supply block is ensured not to exceed the upper limit of the power supply capacity, so that the shortest physical distance of a feeder line can be obtained.

Description

Urban power distribution network planning method and system
Technical Field
The invention belongs to the technical field of power distribution network planning, particularly relates to a method and a system for planning an urban distribution network, and particularly relates to a method and a system for planning an urban distribution network.
Background
Along with the popularization of urbanization and the rapid development of economy, more and more intelligent devices or automatic devices enter the life of people, and the operation of the devices cannot be supported by electric power, the power consumption demand is gradually increased in the aspects of industry, business and residence, the traditional power distribution network has overlong service time and is not suitable for the current environment, the construction of the urban power distribution network is closely related to the development of cities, and the optimization planning of the urban power distribution network is indispensable for ensuring the stable and normal operation of the power distribution network; the GDP economic structures of various regions are different according to the planning, for example, industrial GDPs of industrial cities occupy a higher position in the economic structures, the proportion of industrial electricity in the electricity consumption of the whole society is usually more than 50%, commercial electricity in developed cities of third industry has a higher proportion in the electricity consumption of the whole society, and the existing urban distribution network planning cannot be adjusted correspondingly based on the existing GDP economic structures, so that the existing power network planning has lower universality and accuracy.
For example, the urban distribution network planning method based on load prediction and scene clustering disclosed in chinese patent application CN109523095A considers the power load situation of the distribution network and predicts the urban power load in stages, but lacks planning of the substation and the feeder line, and in the actual application scene, the location of the substation, the physical distance of the feeder line between the substation and the power supply block, and the power load should be considered, and the two are combined together to plan to obtain a more reasonable distribution network system.
Disclosure of Invention
The invention aims to provide a method and a system for planning an urban power distribution network, which can optimize a transformer substation and a feeder line together and find a feeder line path with the shortest physical distance on the premise of ensuring the optimal power load.
The technical scheme adopted by the invention is as follows:
a planning method for an urban distribution network comprises the following steps:
acquiring historical power information in a block to be planned, wherein the historical power information comprises power supply block information, power grid planning information and power load information;
dividing a block to be planned into a plurality of power supply blocks according to historical power information of the block to be planned, and dividing the plurality of power supply blocks according to power load information in a grading manner, wherein the plurality of power supply blocks correspond to an industrial power utilization block, a commercial power utilization block and a residential power utilization block respectively, the industrial power utilization block, the commercial power utilization block and the residential power utilization block correspond to the grade of the industrial power utilization block, the grade of the commercial power utilization block and the grade of the residential power utilization block respectively, and the weighting coefficient of the grade of the industrial power utilization block is
Figure 210659DEST_PATH_IMAGE001
The weight coefficient of the commercial power utilization block level is
Figure 862220DEST_PATH_IMAGE002
The weight coefficient of the grade of the residential electricity block is
Figure 376378DEST_PATH_IMAGE003
Wherein the weighting coefficients of each block level can be adjusted accordingly based on the GDP economic structure, and
Figure 506008DEST_PATH_IMAGE004
acquiring the annual power load value of each power supply block, and substituting the annual power load value into a power load prediction model by combining with the weight coefficient of the corresponding block grade to obtain the change trend value of the power load of each power supply block;
calculating a fuzzy power load value of each power supply block in the future according to the current power load value and the change trend value of the power supply block, and determining the power supply capacity of all the power supply blocks according to the fuzzy power load value;
according to the power supply capacity of all power supply blocks, on the premise that the power supply reliability is met, a power distribution network comprehensive planning model is established, and transformer substations and feeder lines in a plurality of power supply blocks are planned according to the power distribution network comprehensive planning model, wherein the feeder line planning comprises path length planning, node planning and branch planning;
and acquiring all feeder line paths from each power supply block to the transformer substation, determining constraint conditions, and acquiring the power supply path of each power supply block according to the constraint conditions to realize the optimal arrangement of the transformer substation and the feeder line.
In a preferred embodiment, the step of obtaining historical power information in the block to be planned includes:
acquiring the change condition of power utilization blocks in a to-be-planned block in the last decade, wherein the power utilization blocks comprise an industrial power utilization block, a commercial power utilization block and a residential power utilization block;
acquiring the position of a transformer substation and a feeder line in a current block to be planned;
acquiring the actual power load value of each power utilization block in the past year;
judging whether the increase of the actual power load value in each power utilization block between adjacent years exceeds 20 percent;
if the increase of the actual power load value exceeds 20%, determining the time node, abandoning the actual power load value before the time node, and taking the actual power load value after the time node;
and if the increase of the actual power load value does not exceed 20%, taking the used actual power load value.
In a preferred scheme, the step of obtaining the annual power load value of each power supply block, substituting the annual power load value into the power load prediction model by combining with the weight coefficient of the corresponding block grade to obtain the change trend value of the power load of each power supply block comprises the following steps:
acquiring actual power load values of an industrial power utilization block, a commercial power utilization block and a residential power utilization block;
establishing a prediction function according to the electric load prediction model, wherein the calculation formula of the prediction function is as follows:
Figure 304069DEST_PATH_IMAGE005
Figure 860952DEST_PATH_IMAGE006
in the formula (I), wherein,
Figure 862406DEST_PATH_IMAGE007
the change trend value of the electrical load in the block to be planned is shown,
Figure 61306DEST_PATH_IMAGE008
indicates the electricity block class, and
Figure 464606DEST_PATH_IMAGE009
respectively corresponding to an industrial electricity utilization block, a commercial electricity utilization block and a residential electricity utilization block,
Figure 192391DEST_PATH_IMAGE010
the change trend value of the electric load in the final block to be planned is shown,
Figure 681141DEST_PATH_IMAGE011
the number of values to be taken is represented,
Figure 152573DEST_PATH_IMAGE012
the actual electricity load value of the nth electricity consuming unit in the electricity consuming block j is shown.
In a preferred scheme, the step of calculating a fuzzy power load value of each power supply block in the future according to the current power load value and the variation trend value of the power supply block, and determining the power supply capacity of all the power supply blocks according to the fuzzy power load value comprises the following steps:
acquiring a current power load value of a power supply block;
determining the service life according to the recent development plan of a block to be planned;
substituting the current power load value, service life and change trend value into the fuzzy power load value solving formula
Figure 410379DEST_PATH_IMAGE013
In the formula (I), wherein,
Figure 823912DEST_PATH_IMAGE014
the value of the electrical load is indicated for ambiguity,
Figure 799958DEST_PATH_IMAGE015
the current electrical load value is represented by the current electrical load value,
Figure 809503DEST_PATH_IMAGE016
indicating the age of use;
substituting the fuzzy power load value into a power supply capacity calculation formula
Figure 187394DEST_PATH_IMAGE017
In the formula (I), wherein,
Figure 256981DEST_PATH_IMAGE018
the power supply capacity is represented by the power supply capacity,
Figure 985903DEST_PATH_IMAGE019
representing the required coefficient, is a fixed constant value.
In a preferred embodiment, the step of planning the substation and feeder line in the plurality of power supply blocks according to the power distribution network comprehensive planning model includes:
acquiring the total number of original substations, the total number of newly built substations and the total number of power supply blocks in a block to be planned and substituting the total numbers into a comprehensive planning model of the power distribution network;
wherein, the comprehensive planning model of the power distribution network is as follows:
Figure 799138DEST_PATH_IMAGE020
in the formula (I), wherein,
Figure 31537DEST_PATH_IMAGE021
representing the sum of the original substation and the newly built substation,
Figure 537604DEST_PATH_IMAGE022
indicates the total number of power supply blocks,
Figure 471931DEST_PATH_IMAGE023
a transformer substation is represented and,
Figure 88857DEST_PATH_IMAGE024
which represents the node of the feeder line,
Figure 175762DEST_PATH_IMAGE025
the location of the substation is indicated and,
Figure 852731DEST_PATH_IMAGE026
which represents the distance between the nodes of the line,
Figure 25086DEST_PATH_IMAGE027
represents the optimal physical distance between the substation and the feeder line node,
Figure 445703DEST_PATH_IMAGE028
a set of feeder line nodes is represented,
Figure 652694DEST_PATH_IMAGE029
representing the physical distance of the substation to the feeder line node,
Figure 500564DEST_PATH_IMAGE030
which represents the connection of the feeder lines and,
Figure 160215DEST_PATH_IMAGE031
representing a path from the substation to a feeder line node;
according to the comprehensive planning model of the power distribution network and the position of the transformer substation
Figure 368212DEST_PATH_IMAGE032
As a decision variable;
if it is
Figure 164129DEST_PATH_IMAGE033
If so, the position of the newly-built transformer substation is coincident with the position of the original transformer substation, and the newly-built transformer substation is not needed;
if it is
Figure 182901DEST_PATH_IMAGE034
If the position of the newly-built transformer substation is not coincident with the position of the original transformer substation, the original transformer substation is cancelled, and a new transformer substation is built;
according to the comprehensive planning model of the power distribution network, the connection condition of the feeder line is taken as a decision variable;
if it is
Figure 329849DEST_PATH_IMAGE035
If the path is not suitable for being used as the path of the feeder line between the power supply block and the transformer substation;
if it is
Figure 357847DEST_PATH_IMAGE036
Then the path is marked as a candidate path for feeder lines between the supply block to the substation.
In a preferred scheme, the step of obtaining all feeder paths from each power supply block to a substation, determining constraint conditions, obtaining the power supply path of each power supply block according to the constraint conditions, and realizing the optimized arrangement of the substation and the feeder lines comprises the following steps:
acquiring fuzzy power load values of the transformer substation in all the candidate paths;
acquiring fuzzy power load values of all nodes in a feeder line node set in all candidate paths;
adding the fuzzy power load value of the transformer substation and the fuzzy power load value of each node in the feeder line node set, and multiplying the sum by a demand coefficient to obtain the actual power supply capacity;
judging whether the actual power supply capacity exceeds the upper limit of the power supply capacity of the transformer substation;
if the number exceeds the preset threshold, judging that the line is not feasible;
if not, no change occurs;
taking a line between a power supply block and a transformer substation which does not exceed the upper limit of the power supply capacity of the transformer substation as a feeder line between the power supply block and the transformer substation;
acquiring environmental constraint conditions, wherein the environmental constraint conditions comprise road constraint, geological constraint and urban development constraint;
acquiring an electrical load constraint condition, wherein the constraint condition is that the total value of the electrical load of a feeder line node and the electrical load of a transformer substation is not less than the total value of the electrical loads of all power supply blocks, and the specific calculation formula is as follows:
Figure 273851DEST_PATH_IMAGE037
in the formula (I), wherein,
Figure 197945DEST_PATH_IMAGE038
representing a set of electrical loads for the feeder line node,
Figure 832188DEST_PATH_IMAGE039
representing a transformer substation electric load set;
and screening the optimal path from all feeder paths according to the environmental constraint condition and the electrical load constraint condition.
The invention also provides an urban distribution network planning system, which is applied to any one of the urban distribution network planning methods, and comprises the following steps:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring historical electric power information in a block to be planned, and the historical electric power information comprises power supply block information, power grid planning information and power load information;
the first planning module is used for dividing the block to be planned into a plurality of power supply blocks according to historical power information of the block to be planned and dividing the plurality of power supply blocks according to power load information in a grading manner, wherein the plurality of power supply blocks correspond to an industrial power block and a commercial power block respectivelyThe power utilization system comprises a power utilization block and a residential power utilization block, wherein the industrial power utilization block, the commercial power utilization block and the residential power utilization block respectively correspond to the grade of the industrial power utilization block, the grade of the commercial power utilization block and the grade of the residential power utilization block, and the weight coefficient of the grade of the industrial power utilization block is
Figure 132720DEST_PATH_IMAGE001
The weight coefficient of the commercial power utilization block level is
Figure 418076DEST_PATH_IMAGE002
The weight coefficient of the grade of the residential electricity block is
Figure 513071DEST_PATH_IMAGE003
Wherein the weighting coefficients of each block level can be adjusted accordingly based on the GDP economic structure, and
Figure 634611DEST_PATH_IMAGE004
;
the second acquisition module is used for acquiring the historical power load value of each power supply block, and substituting the historical power load value into the power load prediction model by combining with the weight coefficient of the corresponding block grade to obtain the change trend value of the power load of each power supply block;
the calculation module is used for calculating a fuzzy power load value of each power supply block in the future according to the current power load value and the change trend value of the power supply block, and determining the power supply capacity of all the power supply blocks according to the fuzzy power load value;
the second planning module is used for planning transformer substations and feeder lines in the plurality of power supply blocks according to the power distribution network comprehensive planning model, wherein the feeder line planning comprises path length planning, node planning and branch planning;
and the optimization module is used for obtaining the power supply path of each power supply block according to the constraint conditions, so that the optimized arrangement of the transformer substation and the feeder line is realized.
The urban distribution network planning method further comprises a processor and a memory, wherein the memory stores a computer program, and the processor executes the computer program to realize the urban distribution network planning method.
The invention has the technical effects that:
according to the invention, the transformer substation and the feeder line are combined together for analysis in the power distribution network planning process, the weight coefficient of the corresponding block grade is taken as the basis, the prediction is made on the future power consumption load by combining the current power consumption load data, and then the shortest physical distance of the feeder line can be obtained on the premise of ensuring the optimization of the power consumption load in the transformer substation and the power supply block.
Drawings
Fig. 1 is a schematic flow chart of a planning method for an urban distribution network according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of substation and feeder line optimization provided by an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one preferred embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Furthermore, the present invention is described in detail with reference to the drawings, and in the detailed description of the embodiments of the present invention, the cross-sectional view illustrating the structure of the device is not enlarged partially according to the general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Referring to fig. 1, the present invention provides a method for planning an urban distribution network, including:
s1, obtaining historical power information in a block to be planned, wherein the historical power information comprises power supply block information, power grid planning information and power load information;
s2, dividing the block to be planned into a plurality of power supply blocks according to historical power information of the block to be planned, and dividing the plurality of power supply blocks according to the power load information;
s3, acquiring the annual power load value of each power supply block, substituting the annual power load value into a power load prediction model, and acquiring the change trend value of the power load of each power supply block, wherein a plurality of power supply blocks correspond to an industrial power block, a commercial power block and a residential power block respectively, the industrial power block, the commercial power block and the residential power block correspond to the grade of the industrial power block, the grade of the commercial power block and the grade of the residential power block respectively, and the weighting coefficient of the grade of the industrial power block is
Figure 738833DEST_PATH_IMAGE001
The weighting factor of the commercial power utilization block level is
Figure 629429DEST_PATH_IMAGE002
The weight coefficient of the grade of the residential electricity block is
Figure 160904DEST_PATH_IMAGE003
Wherein the weighting coefficients of each block level can be adjusted accordingly based on the GDP economic structure, and
Figure 504161DEST_PATH_IMAGE004
s4, calculating a fuzzy power load value of each power supply block in the future according to the current power load value and the change trend value of the power supply block and the weight coefficient of the corresponding block grade, and determining the power supply capacity of all the power supply blocks according to the fuzzy power load value;
s5, establishing a power distribution network comprehensive planning model on the premise of meeting power supply reliability according to the power supply capacity of all power supply blocks, and planning transformer substations and feeder lines in the plurality of power supply blocks according to the power distribution network comprehensive planning model, wherein the feeder line planning comprises path length planning, node planning and branch planning;
s6, obtaining all feeder line paths from each power supply block to the transformer substation, determining constraint conditions, obtaining the power supply path of each power supply block according to the constraint conditions, and achieving optimal arrangement of the transformer substation and the feeder line.
As described in the above steps S1 to S6, before planning an urban distribution network, a planner can directly obtain historical power information in a block to be planned, the historical power information can provide an intuitive judgment basis for the planner, for example, the power consumption change condition in the block to be planned can be judged according to the power information of the past years, in recent years, as the living standard of people in residential areas is improved, more power consumption equipment can be added, the power consumption change of the past years in the block to be planned is gradually increased, correspondingly, more automatic equipment can be introduced to an industrial area to replace manpower, which are conditions causing the power consumption increase, the planner can judge the change trend of the power consumption load by using a power consumption load prediction model on the basis of the data, so as to plan the future power consumption change condition in the block to be planned, after determining the future power consumption change condition in the block to be planned, the planner can use the original feeder line and the line between the substation block and the power supply block as a basis to perform comprehensive optimization of the feeder line, and the transformer substation line change condition can be determined by considering the old power consumption information, and the old transformer line change condition, and the transformer integration condition can be changed, and the old transformer line change condition can be considered simultaneously, therefore, the feeder line with the minimum power load and the shortest physical distance can be obtained, and based on the consideration, future planning of the city is also required, for example, with the advancement of urbanization, the transformation of old cells is inevitable, the power load is inevitably increased after the transformation of old cells, and branch nodes of the feeder line are also inevitably increased, so that a plurality of standby nodes are required to be planned in the planning process of the feeder line, and the power load of the nodes is required to be included in the planning process, so that the phenomenon that the power load is increased in the future and the power grid is paralyzed is avoided.
In a preferred embodiment, the step of obtaining historical power information in the block to be planned includes:
s11, acquiring the change condition of power utilization blocks in a to-be-planned block in the last decade, wherein the power utilization blocks comprise an industrial power utilization block, a commercial power utilization block and a residential power utilization block;
s12, acquiring the position of a transformer substation and a feeder line in a current block to be planned;
s13, acquiring the actual power load value of each power utilization block in the past year;
s14, judging whether the increase of the actual power load value in each power utilization block between adjacent years exceeds 20%;
s15, if the increase of the actual power load value exceeds 20%, determining the time node, abandoning the actual power load value before the time node, and taking the actual power load value after the time node;
and S16, if the increase of the actual power load value does not exceed 20%, taking the used actual power load value.
As described in the foregoing steps S11 to S16, in an urban power grid, blocks mainly included may be specifically divided into an industrial power utilization block, a commercial power utilization block, and a residential power utilization block, and when reference data is selected, it is to be noted whether a power utilization load is greatly increased, for example, in a residential block, a power utilization load for completing a transformation of an old residential area is correspondingly increased, in an industrial block, an upgrade transformation of a factory also causes an increase in a power utilization load, in a commercial block, an enlargement of a market also causes an increase in a power utilization load, if an increase trend is too large, data before a change node is not suitable to be used as a judgment basis, otherwise, an error of a calculation result is too large, and here, an increase amount limit between adjacent time points is set to 20% to be used as a condition for selecting the reference data, so that accurate reference data can be obtained.
It should be noted that, in an urban power grid, industrial power loads are generally larger than commercial power blocks, and commercial power block loads are larger than residential power loads, so that the commercial power loads are distributed to different power supply grades, cables with different sections are selected for power supply under the condition that each block can be safely supplied with power according to different power supply grades after a feeder line is determined, and in the aspect of cable selection, the cables are selected in combination with urban future planning, long-term planning of the power grid is practically considered, sufficient surplus space is reserved when the cables are selected, and in the planning process, old cables are required to be replaced, so that the power grid in a block to be planned can be stably operated for a long time;
furthermore, in an actual scene, the electrical loads in the blocks to be planned are inconsistent, and the radiation radiuses of the substations are also different, for example, the power supply radius of an urban area is generally kept within 3 kilometers, while the power supply radius of a suburban area can radiate to 6 kilometers, so that the terminal power consumption density and the voltage level are used for determining, and the terminal power consumption density and the voltage level are specifically set according to an actual environment.
In a preferred embodiment, the step of obtaining the annual power load value of each power supply block, and substituting the power load value into the power load prediction model in combination with the weight coefficient of the corresponding block level to obtain the change trend value of the power load of each power supply block includes:
s31, acquiring actual power load values of an industrial power utilization block, a commercial power utilization block and a residential power utilization block;
s32, establishing a prediction function according to the electric load prediction model, wherein the calculation formula of the prediction function is as follows:
Figure 412074DEST_PATH_IMAGE005
Figure 157176DEST_PATH_IMAGE006
in the formula (I), wherein,
Figure 108821DEST_PATH_IMAGE007
the change trend value of the electrical load in the block to be planned is shown,
Figure 939373DEST_PATH_IMAGE008
indicates the grade of the electricity utilization block, and
Figure 385398DEST_PATH_IMAGE009
respectively corresponding to an industrial electricity utilization block, a commercial electricity utilization block and a residential electricity utilization block,
Figure 985007DEST_PATH_IMAGE010
the change trend value of the electrical load in the final block to be planned is shown,
Figure 123864DEST_PATH_IMAGE011
the number of values to be taken is represented,
Figure 441713DEST_PATH_IMAGE012
the actual electricity load value of the nth electricity consuming unit in the electricity consuming block j is shown.
As described in the foregoing steps S31 to S32, after the current actual power load value in the block to be planned is obtained, the change trend value of the power load in the block to be planned can be obtained by combining with the prediction function calculation, so that the change trend of the power load in the block to be planned can be obtained, and a prediction basis is provided for subsequently determining the change of the power load in the block.
In a preferred embodiment, the step of calculating a fuzzy power load value of each power supply block in the future according to the current power load value and the variation trend value of the power supply block, and determining the power supply capacity of all the power supply blocks according to the fuzzy power load value includes:
s41, acquiring a current power load value of a power supply block;
s42, determining the service life according to the recent development plan of the block to be planned;
s43, substituting the current power load value, the service life and the change trend value into a fuzzy power load value solving formula
Figure 425849DEST_PATH_IMAGE013
In the formula (I), wherein,
Figure 145544DEST_PATH_IMAGE014
the value of the electrical load for the fuzzy is represented,
Figure 189723DEST_PATH_IMAGE015
the current electrical load value is represented by the current electrical load value,
Figure 244136DEST_PATH_IMAGE016
indicating the age of use;
s44, substituting the fuzzy electric load value into a power supply capacity calculation formula
Figure 31963DEST_PATH_IMAGE017
In the formula (I), the reaction is carried out,
Figure 606164DEST_PATH_IMAGE018
the power supply capacity is represented by the number of lines,
Figure 86824DEST_PATH_IMAGE019
representing the required coefficient, is a fixed constant value.
As described in the foregoing steps S41 to S44, the fuzzy electrical load value represents the sum of the current electrical load value of the power supply block and the increment of the trend value, where the specific service life is determined according to the current development plan of the block to be planned, based on this, after the fuzzy electrical load value is determined, what is further to be determined is the required power supply capacity, and subsequent planning of the substation and the feeder line is performed based on the power supply capacity, and future development in a city is uncontrollable and is influenced by a large number of external factors, so that the power supply capacity also needs to be left a certain margin, so as to satisfy the normal electrical load of each power supply block.
In a preferred embodiment, the step of planning the transformer substation and the feeder line in the plurality of power supply blocks according to the comprehensive planning model of the power distribution network comprises:
s51, acquiring the total number of original substations, the total number of newly built substations and the total number of power supply blocks in a block to be planned and substituting the total numbers into a comprehensive planning model of the power distribution network;
wherein, the comprehensive planning model of the power distribution network is as follows:
Figure 113686DEST_PATH_IMAGE020
in the formula (I), wherein,
Figure 705204DEST_PATH_IMAGE021
representing the sum of the original substation and the newly built substation,
Figure 133911DEST_PATH_IMAGE022
indicates the total number of power supply blocks,
Figure 519893DEST_PATH_IMAGE023
a transformer substation is represented and,
Figure 299630DEST_PATH_IMAGE024
which represents the node of the feeder line,
Figure 678528DEST_PATH_IMAGE032
the location of the substation is indicated and,
Figure 961742DEST_PATH_IMAGE026
indicating the distance between the nodes of the line,
Figure 784204DEST_PATH_IMAGE027
represents the optimal physical distance between the substation and the feeder line node,
Figure 51238DEST_PATH_IMAGE028
a set of feeder line nodes is represented,
Figure 984559DEST_PATH_IMAGE029
representing the physical distance of the substation to the feeder line node,
Figure 122279DEST_PATH_IMAGE030
which represents the connection of the feeder lines and,
Figure 115643DEST_PATH_IMAGE031
representing a path from the substation to a feeder line node;
s52, according to the comprehensive planning model of the power distribution network, the position of the transformer substation is used
Figure 604393DEST_PATH_IMAGE025
As a decision variable;
if it is
Figure 75825DEST_PATH_IMAGE033
If so, the position of the newly-built transformer substation is coincident with the position of the original transformer substation, and the newly-built transformer substation is not needed;
if it is
Figure 594618DEST_PATH_IMAGE034
If the position of the newly-built transformer substation is not coincident with the position of the original transformer substation, the original transformer substation is cancelled, and a new transformer substation is built;
s53, according to the comprehensive planning model of the power distribution network, the connection condition of the feeder line is adopted
Figure 758883DEST_PATH_IMAGE030
Is a decision variable;
if it is
Figure 469350DEST_PATH_IMAGE035
If the current path is not suitable for being used as the path of the feeder line between the power supply block and the transformer substation;
if it is
Figure 10053DEST_PATH_IMAGE036
Then the path is marked as a candidate path for feeder lines between the supply block to the substation.
As described in the foregoing steps S51 to S53, a substation can be located according to the power distribution network comprehensive planning model, and in the location selection process, if a situation that the substation coincides with an original substation exists, the substation does not need to be further updated, and certainly if the substation is old or does not satisfy power supply conditions, the substation still needs to be replaced, the feeder line determination is also established based on the power distribution network planning model, and in the process, the feeder line determination and the substation determination are well combined, and the subsequent obtained result considers both factors, so that a phenomenon that the substation is far away does not occur, and a phenomenon that the physical distance of the feeder line or the power consumption load is large occurs, but in an actual application process, a large number of variable factors exist, so in the calculation process, one of the variable factors needs to be determined as a decision variable, and the other variable factors are determined as fixed variables, so that an optimal solution for each variable factor can be obtained one by one, and in the analogy, in the process, the factor determined as a fixed variable is set as an optimal condition as much as possible, and a value of the obtained decision variable is an optimal solution, and a phenomenon that in the calculation process, a phenomenon that conflict data adjustment is difficult to avoid occurs, and a result of the subsequent calculation is a complex task of obtaining a decision-making calculation task, but a very good result of a decision-making calculation task is obtained.
In a preferred embodiment, the step of obtaining all feeder paths from each power supply block to the substation, determining constraint conditions, obtaining the power supply path of each power supply block according to the constraint conditions, and implementing the optimized arrangement of the substation and the feeder lines includes:
s61, acquiring fuzzy power load values of the transformer substation in all the candidate paths;
s62, acquiring fuzzy power load values of all nodes in a feeder line node set in all candidate paths;
s63, adding the fuzzy power utilization load value of the transformer substation and the fuzzy power utilization load value of each node in the feeder line node set, and multiplying the sum by a demand coefficient to obtain the actual power supply capacity;
s64, judging whether the actual power supply capacity exceeds the upper limit of the power supply capacity of the transformer substation;
if the number exceeds the preset threshold, judging that the line is not feasible;
if not, no change occurs;
s65, taking a line between the power supply block which does not exceed the upper limit of the power supply capacity of the transformer substation and the transformer substation as a feeder line between the power supply block and the transformer substation;
s66, obtaining environmental constraint conditions, wherein the environmental constraint conditions comprise road constraint, geological constraint and city development constraint;
s67, acquiring an electric load constraint condition, wherein the constraint condition is that the total value of the electric load of the feeder line node and the electric load of the transformer substation is not less than the total value of the electric loads of all power supply blocks, and the specific calculation formula is as follows:
Figure 387944DEST_PATH_IMAGE037
in the formula (I), the reaction is carried out,
Figure 457532DEST_PATH_IMAGE038
representing a set of electrical loads for a feeder line node,
Figure 920874DEST_PATH_IMAGE039
representing a substation electrical load set;
and S68, screening the optimal path from all the feeder paths according to the environmental constraint condition and the electrical load constraint condition.
As described in the foregoing steps S61 to S68, in step S53, a plurality of paths of feeder lines between the substation and the power supply block can be obtained, and in this path, it is inevitable that the total amount of the electrical load exceeds the upper limit of the power supply capacity, so that it is necessary to screen out the lines that do not satisfy the conditions one by one, so as to obtain a safe feeder line, and in the process of arranging lines, even if an optimal line is not selected, it is possible to ensure normal operation of the power distribution network, and certainly, on the premise that resources are not wasted, it is necessary to further optimize the feeder lines between the substation and the power supply block on the basis of this, and on the premise that the electrical load is kept in a normal range, it is possible to obtain the shortest physical distance of the feeder line, specifically, it is necessary to further screen in accordance with environmental constraints and electrical load constraints, and there may be a plurality of screening results, and then the obtained results may be substituted into the comprehensive planning model of the power distribution network one by one, so that an optimized feeder line path can be determined.
A planning system of an urban distribution network is applied to any one of the planning methods of the urban distribution network, and is characterized in that: the method comprises the following steps:
the power supply planning system comprises a first acquisition module, a second acquisition module and a planning module, wherein the first acquisition module is used for acquiring historical power information in a block to be planned, and the historical power information comprises power supply block information, power grid planning information and power load information;
the power supply system comprises a first planning module, a second planning module and a power supply module, wherein the first planning module is used for dividing a block to be planned into a plurality of power supply blocks according to historical power information of the block to be planned and dividing the plurality of power supply blocks into a plurality of grades according to power load information, the plurality of power supply blocks correspond to an industrial power utilization block, a commercial power utilization block and a residential power utilization block respectively, the industrial power utilization block, the commercial power utilization block and the residential power utilization block correspond to the grade of the industrial power utilization block, the grade of the commercial power utilization block and the grade of the residential power utilization block respectively, and the weighting coefficient of the grade of the industrial power utilization block is
Figure 734109DEST_PATH_IMAGE001
The weight coefficient of the commercial power utilization block level is
Figure 966507DEST_PATH_IMAGE002
The weight coefficient of the grade of the residential electricity block is
Figure 456263DEST_PATH_IMAGE003
Wherein the weighting coefficients of each block level can be adjusted accordingly based on the GDP economic structure, and
Figure 406902DEST_PATH_IMAGE040
the second acquisition module is used for acquiring the annual power load value of each power supply block, and substituting the annual power load value into the power load prediction model by combining the weight coefficient of the corresponding block grade to obtain the change trend value of the power load of each power supply block;
the calculation module is used for calculating a fuzzy power load value of each power supply block in the future according to the current power load value and the change trend value of the power supply block and determining the power supply capacity of all the power supply blocks according to the fuzzy power load value;
the second planning module is used for planning the transformer substations and the feeder lines in the plurality of power supply blocks according to the power distribution network comprehensive planning model, wherein the feeder line planning comprises path length planning, node planning and branch planning;
and the optimization module is used for obtaining the power supply path of each power supply block according to the constraint conditions, so that the optimized arrangement of the transformer substation and the feeder line is realized.
The system further comprises a processor and a memory, wherein the memory stores a computer program, and the system is characterized in that: when the processor executes the computer program, the urban distribution network planning method is realized.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of another identical element in a process, apparatus, article, or method comprising the element.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be construed as the protection scope of the present invention. Structures, devices, and methods of operation not specifically described or illustrated herein are generally practiced in the art without specific recitation or limitation.

Claims (8)

1. A planning method for an urban distribution network is characterized by comprising the following steps: the method comprises the following steps:
acquiring historical power information in an area to be planned, wherein the historical power information comprises power supply area information, power grid planning information and power load information;
dividing the area to be planned into a plurality of power supply blocks according to historical power information of the area to be planned, and dividing the plurality of power supply blocks according to power load information in a grading manner, wherein the plurality of power supply blocks correspond to an industrial power utilization block, a commercial power utilization block and a residential power utilization block respectively, the industrial power utilization block, the commercial power utilization block and the residential power utilization block correspond to the grade of the industrial power utilization block, the grade of the commercial power utilization block and the grade of the residential power utilization block respectively, and the weight coefficient of the grade of the industrial power utilization block is
Figure 348611DEST_PATH_IMAGE001
The weight coefficient of the commercial power utilization block level is
Figure 340837DEST_PATH_IMAGE002
The weight coefficient of the residential electricity block level is
Figure 239523DEST_PATH_IMAGE003
Wherein the weighting coefficients of each block level can be adjusted accordingly based on the GDP economic structure, and
Figure 651788DEST_PATH_IMAGE004
acquiring the annual power load value of each power supply block, and substituting the annual power load value into a power load prediction model by combining with the weight coefficient of the corresponding block grade to obtain the change trend value of the power load of each power supply block;
calculating a fuzzy power load value of each power supply block in the future according to the current power load value and the change trend value of the power supply block, and determining the power supply capacity of all the power supply blocks according to the fuzzy power load value;
according to the power supply capacity of all power supply blocks, on the premise that the power supply reliability is met, a power distribution network comprehensive planning model is established, and transformer substations and feeder lines in a plurality of power supply blocks are planned according to the power distribution network comprehensive planning model, wherein the feeder line planning comprises path length planning, node planning and branch planning;
and acquiring all feeder line paths from each power supply block to the transformer substation, determining constraint conditions, and acquiring the power supply path of each power supply block according to the constraint conditions to realize the optimal arrangement of the transformer substation and the feeder line.
2. The urban distribution network planning method according to claim 1, characterized in that: the step of obtaining historical power information in the area to be planned comprises the following steps:
acquiring power utilization area change conditions in an area to be planned in the last decade, wherein the power utilization areas comprise an industrial power utilization area, a commercial power utilization area and a residential power utilization area;
acquiring the position of a transformer substation and a feeder line in a current region to be planned;
acquiring the actual power load value of each power utilization area in the past year;
judging whether the increase of the actual power load value in each power utilization area between adjacent years exceeds 20 percent;
if the increase of the actual power load value exceeds 20%, determining a corresponding time node, abandoning the actual power load value before the time node, and taking the actual power load value after the time node;
and if the increase of the actual power load value does not exceed 20%, taking the used actual power load value.
3. The urban distribution network planning method according to claim 1, characterized in that: the method comprises the steps of obtaining the annual power load value of each power supply block, substituting the power load value into a power load prediction model by combining with the weight coefficient of the corresponding block grade, and obtaining the change trend value of the power load of each power supply block, wherein the steps comprise:
acquiring actual power load values of an industrial power utilization block, a commercial power utilization block and a residential power utilization block;
establishing a prediction function according to the electric load prediction model, wherein the calculation formula of the prediction function is as follows:
Figure 661332DEST_PATH_IMAGE005
Figure 508065DEST_PATH_IMAGE006
in the formula (I), wherein,
Figure 374390DEST_PATH_IMAGE007
the change trend value of the electrical load in the block to be planned is shown,
Figure 306574DEST_PATH_IMAGE008
indicates the grade of the electricity utilization block, and
Figure 119809DEST_PATH_IMAGE009
respectively corresponding to an industrial electricity utilization block, a commercial electricity utilization block and a residential electricity utilization block,
Figure 86628DEST_PATH_IMAGE010
the change trend value of the electric load in the final block to be planned is shown,
Figure 61538DEST_PATH_IMAGE011
the number of values to be taken is represented,
Figure DEST_PATH_IMAGE012
the actual electricity load value of the nth electricity consuming unit in the electricity consuming block j is shown.
4. The urban power distribution network planning method according to claim 3, characterized in that: calculating a fuzzy power load value of each power supply block in the future according to the current power load value and the change trend value of the power supply block, and determining the power supply capacity of all the power supply blocks according to the fuzzy power load value, wherein the step comprises the following steps:
acquiring a current power load value of a power supply block;
determining the service life according to the recent development plan of a block to be planned;
substituting the current power load value, service life and change trend value into a fuzzy power load value solving formula
Figure 448394DEST_PATH_IMAGE013
In the formula (I), wherein,
Figure 799741DEST_PATH_IMAGE014
the value of the electrical load for the fuzzy is represented,
Figure 621067DEST_PATH_IMAGE015
the current electrical load value is represented by the current electrical load value,
Figure 766877DEST_PATH_IMAGE016
indicating the age of use;
substituting the fuzzy power load value into a power supply capacity calculation formula
Figure 470391DEST_PATH_IMAGE017
In the formula (I), wherein,
Figure 625429DEST_PATH_IMAGE018
the power supply capacity is represented by the power supply capacity,
Figure 301261DEST_PATH_IMAGE019
representing the required coefficient, is a fixed constant value.
5. The urban power distribution network planning method according to claim 4, characterized in that: planning transformer substations and feeder lines in the power supply blocks according to the power distribution network comprehensive planning model, wherein the planning method comprises the following steps of:
acquiring the total number of original substations, the total number of newly built substations and the total number of power supply blocks in a block to be planned and substituting the total number into a comprehensive planning model of the power distribution network;
the comprehensive planning model of the power distribution network is as follows:
Figure 883552DEST_PATH_IMAGE020
in the formula (I), wherein,
Figure 277624DEST_PATH_IMAGE021
representing the sum of the original substation and the newly built substation,
Figure 469309DEST_PATH_IMAGE022
indicates the total number of power supply blocks,
Figure 999647DEST_PATH_IMAGE023
which represents a substation, is shown in the figure,
Figure 752840DEST_PATH_IMAGE024
which represents the node of the feeder line,
Figure 368629DEST_PATH_IMAGE025
the location of the substation is indicated and,
Figure 865469DEST_PATH_IMAGE026
indicating the distance between the nodes of the line,
Figure 515893DEST_PATH_IMAGE027
represents the optimal physical distance between the substation to the feeder line node,
Figure 439987DEST_PATH_IMAGE028
a set of feeder line nodes is represented,
Figure 605389DEST_PATH_IMAGE029
representing the physical distance of the substation to the feeder line node,
Figure 640341DEST_PATH_IMAGE030
which represents the connection of the feeder lines and,
Figure 643807DEST_PATH_IMAGE031
representing a path from the substation to a feeder line node;
according to the comprehensive planning model of the power distribution network and the position of the transformer substation
Figure 738802DEST_PATH_IMAGE025
As a decision variable;
if it is
Figure 329183DEST_PATH_IMAGE032
If so, the position of the newly-built transformer substation is coincident with the position of the original transformer substation, and the newly-built transformer substation is not needed;
if it is
Figure 167826DEST_PATH_IMAGE033
If the position of the newly-built transformer substation is not coincident with the position of the original transformer substation, the original transformer substation is cancelled, and a new transformer substation is built;
according to the comprehensive planning model of the power distribution network, the connection condition of the feeder line is used
Figure 527264DEST_PATH_IMAGE030
Is a decision variable;
if it is
Figure 793160DEST_PATH_IMAGE034
If the path is not suitable for being used as the path of the feeder line between the power supply block and the transformer substation;
if it is
Figure 870837DEST_PATH_IMAGE035
Then the path is marked as a candidate path for feeder lines between the supply block to the substation.
6. The urban power distribution network planning method according to claim 5, characterized in that: the method comprises the steps of obtaining all feeder line paths from each power supply block to a transformer substation, determining constraint conditions, obtaining the power supply path of each power supply block according to the constraint conditions, and realizing the optimized arrangement of the transformer substation and the feeder line, and comprises the following steps:
acquiring fuzzy power load values of the transformer substation in all the candidate paths;
acquiring fuzzy power load values of all nodes in a feeder line node set in all candidate paths;
adding the fuzzy electricity load value of the transformer substation and the fuzzy electricity load value of each node in the feeder line node set, and multiplying the sum by a demand coefficient to obtain the actual power supply capacity;
judging whether the actual power supply capacity exceeds the upper limit of the power supply capacity of the transformer substation;
if the line exceeds the preset threshold, judging that the line is not feasible;
if not, no change occurs;
taking a line between a power supply block and a transformer substation which does not exceed the upper limit of the power supply capacity of the transformer substation as a feeder line between the power supply block and the transformer substation;
obtaining environmental constraint conditions, wherein the environmental constraint conditions comprise road constraint, geological constraint and city development constraint;
acquiring an electrical load constraint condition, wherein the constraint condition is that the total value of the electrical load of a feeder line node and the electrical load of a transformer substation is not less than the total value of the electrical loads of all power supply blocks, and the specific calculation formula is as follows:
Figure 247592DEST_PATH_IMAGE036
in the formula (I), the reaction is carried out,
Figure 225650DEST_PATH_IMAGE037
representing a set of electrical loads for a feeder line node,
Figure 662448DEST_PATH_IMAGE038
representing a substation electrical load set;
and screening an optimal path from all feeder paths according to the environmental constraint condition and the electrical load constraint condition.
7. A planning system of an urban distribution network is applied to the planning method of the urban distribution network according to any one of claims 1 to 6, and is characterized in that: the method comprises the following steps:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring historical electric power information in a block to be planned, and the historical electric power information comprises power supply block information, power grid planning information and power load information;
the power supply system comprises a first planning module, a second planning module and a power supply module, wherein the first planning module is used for dividing a block to be planned into a plurality of power supply blocks according to historical power information of the block to be planned and dividing the plurality of power supply blocks into a plurality of grades according to power load information, the plurality of power supply blocks correspond to an industrial power block, a commercial power block and a residential power block respectively, the industrial power block, the commercial power block and the residential power block correspond to the grade of the industrial power block, the grade of the commercial power block and the grade of the residential power block respectively, and the weighting coefficient of the grade of the industrial power block is
Figure 24159DEST_PATH_IMAGE001
The weight coefficient of the commercial power utilization block level is
Figure 407867DEST_PATH_IMAGE002
The weight coefficient of the grade of the residential electricity block is
Figure 804213DEST_PATH_IMAGE003
Wherein the weighting coefficients of each block level can be adjusted accordingly based on the GDP economic structure, and
Figure 411912DEST_PATH_IMAGE004
;
the second acquisition module is used for acquiring the historical power load value of each power supply block, and substituting the historical power load value into the power load prediction model by combining with the weight coefficient of the corresponding block grade to obtain the change trend value of the power load of each power supply block;
the calculation module is used for calculating a fuzzy power load value of each power supply block in the future according to the current power load value and the change trend value of the power supply block, and determining the power supply capacity of all the power supply blocks according to the fuzzy power load value;
the second planning module is used for planning transformer substations and feeder lines in the plurality of power supply blocks according to the power distribution network comprehensive planning model, wherein the feeder line planning comprises path length planning, node planning and branch planning;
and the optimization module is used for obtaining the power supply path of each power supply block according to the constraint conditions, so that the optimized arrangement of the transformer substation and the feeder line is realized.
8. The system according to claim 7, further comprising a processor and a memory, said memory storing a computer program, wherein: the processor, when executing the computer program, implements the method for planning a municipal power distribution network as claimed in claims 1 to 6.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116151509A (en) * 2023-02-13 2023-05-23 国家电投集团数字科技有限公司 Power information management method and system based on data fusion
CN116316609A (en) * 2023-04-17 2023-06-23 刘泓利 Power distribution system based on loss application
CN117391343A (en) * 2023-10-08 2024-01-12 江苏科能电力工程咨询有限公司 Urban planning-based electricity consumption prediction method, device and storage medium
CN118074140A (en) * 2024-04-18 2024-05-24 宁波市电力设计院有限公司 Planning method and planning system for optimizing and enhancing reliability of power distribution network

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103514570A (en) * 2013-08-14 2014-01-15 国家电网公司 Expansion planning comprehensive optimization method of power distribution network with distributed power supply
CN105389633A (en) * 2015-12-01 2016-03-09 上海电力学院 Optimization planning method of substation considering distributed power supplies
CN109523095A (en) * 2018-12-21 2019-03-26 合肥工业大学 Urban distribution network planning method based on load prediction and scene clustering
CN111210058A (en) * 2019-12-26 2020-05-29 深圳供电局有限公司 Grid-based power distribution network top-down load prediction information method
CN112132327A (en) * 2020-08-31 2020-12-25 国网江苏省电力有限公司经济技术研究院 Multi-source data fusion-oriented intelligent planning system for power distribution network
CN113516294A (en) * 2021-05-25 2021-10-19 国网湖北省电力有限公司襄阳供电公司 Urban planning-based time-space load prediction method suitable for power grid planning
CN114741858A (en) * 2022-03-29 2022-07-12 国网浙江省电力有限公司经济技术研究院 Multi-level power grid planning method based on growth evolution model
CN115034519A (en) * 2022-07-29 2022-09-09 广东电网有限责任公司 Method and device for predicting power load, electronic equipment and storage medium

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103514570A (en) * 2013-08-14 2014-01-15 国家电网公司 Expansion planning comprehensive optimization method of power distribution network with distributed power supply
CN105389633A (en) * 2015-12-01 2016-03-09 上海电力学院 Optimization planning method of substation considering distributed power supplies
CN109523095A (en) * 2018-12-21 2019-03-26 合肥工业大学 Urban distribution network planning method based on load prediction and scene clustering
CN111210058A (en) * 2019-12-26 2020-05-29 深圳供电局有限公司 Grid-based power distribution network top-down load prediction information method
CN112132327A (en) * 2020-08-31 2020-12-25 国网江苏省电力有限公司经济技术研究院 Multi-source data fusion-oriented intelligent planning system for power distribution network
CN113516294A (en) * 2021-05-25 2021-10-19 国网湖北省电力有限公司襄阳供电公司 Urban planning-based time-space load prediction method suitable for power grid planning
CN114741858A (en) * 2022-03-29 2022-07-12 国网浙江省电力有限公司经济技术研究院 Multi-level power grid planning method based on growth evolution model
CN115034519A (en) * 2022-07-29 2022-09-09 广东电网有限责任公司 Method and device for predicting power load, electronic equipment and storage medium

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
周扬等: "浅谈110KV电网的规划与设计", 《科技与企业》 *
邱华康: "基于多源异构数据的配电网规划***设计与开发", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116151509A (en) * 2023-02-13 2023-05-23 国家电投集团数字科技有限公司 Power information management method and system based on data fusion
CN116316609A (en) * 2023-04-17 2023-06-23 刘泓利 Power distribution system based on loss application
CN116316609B (en) * 2023-04-17 2024-04-09 泰州开泰电力设计有限公司 Power distribution system based on loss application
CN117391343A (en) * 2023-10-08 2024-01-12 江苏科能电力工程咨询有限公司 Urban planning-based electricity consumption prediction method, device and storage medium
CN117391343B (en) * 2023-10-08 2024-03-12 江苏科能电力工程咨询有限公司 Urban planning-based electricity consumption prediction method, device and storage medium
CN118074140A (en) * 2024-04-18 2024-05-24 宁波市电力设计院有限公司 Planning method and planning system for optimizing and enhancing reliability of power distribution network

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