CN113850447B - Organization strategy optimization method and system for foundation construction of offshore wind turbine generator - Google Patents
Organization strategy optimization method and system for foundation construction of offshore wind turbine generator Download PDFInfo
- Publication number
- CN113850447B CN113850447B CN202111257251.4A CN202111257251A CN113850447B CN 113850447 B CN113850447 B CN 113850447B CN 202111257251 A CN202111257251 A CN 202111257251A CN 113850447 B CN113850447 B CN 113850447B
- Authority
- CN
- China
- Prior art keywords
- constructed
- construction
- offshore
- foundation
- working
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000010276 construction Methods 0.000 title claims abstract description 159
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000005457 optimization Methods 0.000 title claims abstract description 31
- 230000008520 organization Effects 0.000 title claims abstract description 19
- 238000004519 manufacturing process Methods 0.000 claims abstract description 22
- 238000004904 shortening Methods 0.000 claims abstract description 11
- 230000015654 memory Effects 0.000 claims description 27
- 150000001875 compounds Chemical class 0.000 claims description 12
- 238000003860 storage Methods 0.000 claims description 8
- 238000013461 design Methods 0.000 claims description 5
- 230000006870 function Effects 0.000 claims description 3
- 238000004891 communication Methods 0.000 description 8
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 230000000712 assembly Effects 0.000 description 2
- 238000000429 assembly Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009440 infrastructure construction Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000010187 selection method Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Wind Motors (AREA)
Abstract
The invention discloses an organization strategy optimization method and system for foundation construction of an offshore wind turbine, wherein the method comprises the following steps: determining the working surfaces to be constructed in all the offshore foundation working surfaces of the offshore wind farm according to the number of the preset working surfaces to be constructed to obtain a plurality of working surface combination schemes to be constructed; determining the starting construction month of each working face to be constructed to obtain a plurality of implementation schemes of the combination scheme of each working face to be constructed; optimizing each implementation scheme of each combined scheme of the working surface to be constructed by utilizing a plurality of inequality constraint conditions and a plurality of equality constraint conditions with the aim of minimizing the use cost of the working surface and shortening the construction period; the number of the preset operation surfaces to be constructed is increased by one, and the steps are repeated until the number of the preset operation surfaces to be constructed is larger than the total number of the marine basic operation surfaces, so that the links of manufacturing, transporting, stockpiling and marine construction are comprehensively planned more scientifically and reasonably, the construction period of the marine wind power is shortened, and the construction cost is reduced.
Description
Technical Field
The invention relates to the technical field of offshore wind power, in particular to an organization strategy optimization method and system for foundation construction of an offshore wind turbine.
Background
Offshore wind power construction is obviously restricted by marine environment, and has high cost, large risk, multiple related links and large organization difficulty. In general, the construction and safety cost accounts for about 20-30% of the total development cost, and is further improved along with the increase of water depth. Past construction experience shows that the construction period is the largest variable affecting the cost. The construction of the offshore wind power project comprises the following steps: the six main lines comprise an on-road centralized control center, a sea cable, an offshore booster station, a current collecting line, a foundation and an upper unit. The foundation construction is the core, and offshore construction tasks including an upper unit and a current collection circuit need to be planned according to the progress of the foundation construction. Therefore, reasonable planning and scheduling of foundation construction progress are crucial to optimizing the construction period and reducing the cost. The large-diameter single-pile foundation has the advantages of simple structure, clear stress, simple construction and construction process, short construction period, good economy and the like, and is a preferred foundation type of offshore wind power plants with water depth within 35m in China. The jacket foundation is mostly adopted for the water depth of more than 35m by a pile-first method. At present, after the production is finished based on the mainstream construction flow in China, the construction flow is directly transported to a machine position by a manufacturing base, and construction and installation are carried out on an offshore operation surface consisting of a plurality of construction ships. Usually, only 1-3 sets of foundations are stored at a project wharf storage yard for standby, and the shortage of the quantity can not ensure that the offshore operation surface is idle in the actual continuous supply, so that the construction progress is influenced.
Disclosure of Invention
Therefore, the technical problem to be solved by the invention is to overcome the defects of high cost and long construction period of foundation construction of an offshore wind farm in the prior art, so that the organization strategy optimization method and the organization strategy optimization system for foundation construction of an offshore wind turbine are provided.
In order to achieve the purpose, the invention provides the following technical scheme:
in a first aspect, an embodiment of the present invention provides an organization strategy optimization method for foundation construction of an offshore wind turbine, where an offshore wind farm includes multiple offshore foundation working planes, and the optimization method includes: determining the operation surfaces to be constructed in all the offshore foundation operation surfaces of the offshore wind farm by a combination method according to the number of preset operation surfaces to be constructed to obtain a plurality of operation surface to be constructed combination schemes; determining the starting construction month of each working face to be constructed to obtain a plurality of implementation schemes of the combination scheme of each working face to be constructed; optimizing each implementation scheme of each combined scheme of the working surface to be constructed by utilizing a plurality of inequality constraint conditions and a plurality of equality constraint conditions with the aim of minimizing the use cost of the working surface and shortening the construction period; and adding one to the number of the preset working surfaces to be constructed, and returning to the step of determining the working surfaces to be constructed in all the offshore foundation working surfaces of the offshore wind farm by using a combination method according to the number of the preset working surfaces to be constructed to obtain a plurality of combination schemes of the working surfaces to be constructed until the number of the preset working surfaces to be constructed is more than the total number of the offshore foundation working surfaces.
In one embodiment, with the goal of minimizing the cost of operating the work surface and reducing the duration of the work surface, the objective function is:
wherein F is the operating cost of the working face, T is the construction period, C i For the monthly use cost of the ith offshore foundation work surface,
and for whether the ith offshore foundation working face participates in construction in the jth month, i =1,2,.., n, j =1,2 and …, wherein M and n are the number of working faces to be constructed in advance, and M is the longest construction period.
In one embodiment, the inequality constraints include: the constraint condition is used for ensuring that the number of the bases stored in the wharf yard during construction does not exceed the design capacity of the wharf all the time, and the constraint formula is as follows:
in the formula, S j For manufacturing base to supply base quantity in month j,
for the actual construction, the number of constructable foundations of the ith offshore foundation working surface in the jth month is adopted, and the number of the constructable foundations in the jth month is combined>
Whether the ith offshore foundation working face participates in construction in the jth month or not is judged, B is the number of the foundations which can be piled in the preset wharf pile yard, i =1,2,.. Once, n, j =1,2, …, M and n are the number of the preset working faces to be constructed, and M is the longest construction period.
In one embodiment, the inequality constraints include: a constraint for ensuring that sufficient components end up in the quay yard for construction during construction, the constraint being given by:
in the formula, S j For manufacturing base to supply base quantity in month j,
the number of the foundation which can be constructed in the jth month on the ith offshore foundation working surface is actually adopted for construction, and the number is greater than or equal to the number of the foundation which can be constructed in the jth month>
For whether the ith offshore foundation working surface participates in construction in the jth month, i =1,2, ·, n, j =1,2, …, M and n are the number of the working surfaces to be constructed in advance, and M is the longest construction period.
In one embodiment, the inequality constraints include: the constraint condition is used for ensuring continuous operation of the operation surface after the operation surface is put into construction until the operation surface leaves the field during construction, and the constraint formula is as follows:
in the formula (I), the compound is shown in the specification,
for the ith offshore foundation working face at the a i + whether or not λ month participates in construction, a i For the initial month of the i-th working face actually put into use, λ =1,2, …, M- λ, M is the longest construction period.
In one embodiment, the inequality constraints include: and the constraint condition is used for ensuring that the accumulated investment time of each operation surface is greater than the shortest lease time, and the constraint formula is as follows:
in the formula (I), the compound is shown in the specification,
whether the ith offshore foundation operation surface participates in construction in the jth month or not, L min For the shortest renting time of the offshore foundation working surface, i =1,2,.. The n, j =1,2, …, M and n are the number of the preset working surfaces to be constructed, and M is the longest construction period.
In one embodiment, the inequality constraints include: the constraint condition is used for ensuring that the offshore operation surface adopted in the construction period finishes the construction target, and the constraint formula is as follows:
in the formula (I), the compound is shown in the specification,
the number of the foundation capable of being constructed in the j-th month of the ith offshore foundation working face is actually adopted for construction, N is the number of the fans planned to be constructed in the offshore wind farm, i =1,2, · N, j =1,2, …, M and N are the number of the working faces to be constructed in advance, and M is the longest construction period.
In one embodiment, the equality constraints include: the constraint condition is used for ensuring that the production foundation quantity of the manufacturing base is equal to the quantity of the planned construction fans, and the constraint formula is as follows:
in the formula, S j And N is the number of planned construction fans of the offshore wind farm.
In one embodiment, the equality constraints include: the constraint conditions are used for ensuring that the time of putting into use of each offshore operation surface is not conflicted with other plans, and the constraint formula is as follows:
in the formula (I), the compound is shown in the specification,
for the ith offshore foundation working face whether to participate in construction in the jth month, A i For the earliest construction month of the ith offshore foundation working face, i =1,2, ·, n, j =1,2, …, M, n is the number of working faces to be constructed in advance, and M is the longest construction period.
In a second aspect, an embodiment of the present invention provides an organization strategy optimization system for foundation construction of an offshore wind turbine, including: the combined scheme determining module is used for determining the operation surfaces to be constructed in all the offshore foundation operation surfaces of the offshore wind farm by a combination method according to the number of the preset operation surfaces to be constructed to obtain a plurality of combined schemes of the operation surfaces to be constructed; the implementation determining module is used for determining the starting construction month of each to-be-constructed working face to obtain a plurality of implementation schemes of the combination scheme of each to-be-constructed working face; the optimization module is used for optimizing each implementation scheme of each combined scheme of the working face to be constructed by utilizing a plurality of inequality constraint conditions and a plurality of equality constraint conditions with the aim of minimizing the use cost of the working face and shortening the construction period; and the circulating module is used for adding one to the number of the preset working faces to be constructed and returning to the step of determining the working faces to be constructed in all the offshore foundation working faces of the offshore wind farm by using a combination method according to the number of the preset working faces to be constructed to obtain a plurality of combination schemes of the working faces to be constructed until the number of the preset working faces to be constructed is larger than the total number of the offshore foundation working faces.
In a third aspect, an embodiment of the present invention provides a computer device, including: the at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to cause the at least one processor to perform the method for organizing strategy optimization for offshore wind turbine infrastructure in accordance with the first aspect of the embodiments of the present invention.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where computer instructions are stored, and the computer instructions are configured to enable a computer to execute the method for optimizing an organization policy of foundation construction of an offshore wind turbine farm according to the first aspect of the embodiment of the present invention.
The technical scheme of the invention has the following advantages:
according to the optimization method and the optimization system provided by the invention, the operation surfaces to be constructed in all the offshore basic operation surfaces of the offshore wind farm are determined by a combination method according to the number of the preset operation surfaces to be constructed, so that a plurality of combination schemes of the operation surfaces to be constructed are obtained; determining the starting construction month of each working face to be constructed to obtain a plurality of implementation schemes of the combination scheme of each working face to be constructed; optimizing each implementation scheme of each combined scheme of the working surface to be constructed by utilizing a plurality of inequality constraint conditions and a plurality of equality constraint conditions with the aim of minimizing the use cost of the working surface and shortening the construction period; the number of the preset working faces to be constructed is increased by one, and the steps are repeated until the number of the preset working faces to be constructed is larger than the total number of the marine foundation working faces, so that the links of manufacturing, transporting, stockpiling and marine construction are comprehensively realized more scientifically and reasonably, the construction period of the marine wind power is shortened, and the construction cost is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a specific example of an optimization method provided in an embodiment of the present invention;
FIG. 2 is a detailed flowchart of an optimization method according to an embodiment of the present invention;
fig. 3 is a composition diagram of a specific example of an optimization system provided by the embodiment of the present invention;
fig. 4 is a block diagram of a specific example of a computer device according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Example 1
The embodiment of the invention provides an organization strategy optimization method for foundation construction of an offshore wind turbine, wherein an offshore wind farm comprises a plurality of offshore foundation operation surfaces, and as shown in figure 1, the optimization method comprises the following steps:
step S1: and determining the working surfaces to be constructed in all the offshore foundation working surfaces of the offshore wind farm by using a combination method according to the number of the preset working surfaces to be constructed to obtain a plurality of working surface combination schemes to be constructed.
Specifically, in the embodiment of the invention, the offshore wind farm comprises N wp However, not all the marine foundation working planes are constructed simultaneously to complete the same project, that is, the number of the preset working planes to be constructed in each project is not constant, so for multiple projects, the number n of the preset working planes to be constructed is first set, and the working planes to be constructed are selected from all the marine foundation working planes, for example: if the number of the operation surfaces to be constructed is 10, the number 1-10 of the offshore foundation operation surfaces, the number 2-11 of the operation surfaces, the number 2, 4-7 and 10-14 of the offshore foundation operation surfaces and the like can be selected, and the selection method can utilize a combination method and a formula
And calculating to obtain the number of the combination schemes of the working face to be constructed.
Step S2: and determining the starting construction month of each working face to be constructed to obtain a plurality of implementation schemes of the combination scheme of each working face to be constructed.
Specifically, each working surface can be actually processed by the A-th working surface i 、A i +1、A i +2、…、A i + M months (A) i The earliest construction month of the ith offshore foundation working plane), and the total of M-A 1 -L min +1 possibilities of starting the operation, so that all the working surfaces to be constructed can be further subdivided according to the actual input time
An embodiment is described.
And step S3: and optimizing each implementation scheme of each combined scheme of the working surface to be constructed by utilizing a plurality of inequality constraint conditions and a plurality of equality constraint conditions with the aim of minimizing the use cost of the working surface and shortening the construction period.
Specifically, in the embodiment of the present invention, a mixed integer linear programming solver is adopted, and each implementation of each combined solution of the working surfaces to be constructed is optimized with the goal of minimizing the use cost of the working surfaces and shortening the construction period.
The embodiment of the invention aims to minimize the use cost of the operation surface and shorten the construction period, and the objective function is as follows:
wherein F is the operating cost of the working face, T is the construction period, C i For the monthly use cost of the ith offshore foundation work surface,
for whether the ith offshore foundation working surface participates in construction in the jth month, i =1,2, ·, n, j =1,2, …, M and n are the number of the working surfaces to be constructed in advance, and M is the longest construction period.
In the embodiment of the invention, when the ith offshore foundation working face participates in construction in the jth month
If the ith offshore foundation working surface is not involved in the construction in the jth month, then->
Specifically, the embodiment of the present invention comprehensively considers various factors that affect the use cost and the construction period of the working plane, sets various constraint conditions, and optimizes the implementation scheme from multiple dimensions, where the specific constraint conditions of the unequal specification may include: the constraint conditions are used for ensuring that the number of foundations stored in a wharf yard during construction does not exceed the designed capacity of the wharf all the time, the constraint conditions are used for ensuring that enough components are finally stored in the wharf yard during construction for construction, the constraint conditions are used for ensuring that operation surfaces continuously operate after being put into construction until leaving the yard during construction, the constraint conditions are used for ensuring that the accumulated input time of each operation surface is greater than the shortest lease time, and the constraint conditions are used for ensuring that offshore operation surfaces adopted in the construction period complete construction targets, and the equality constraint conditions can comprise: and the constraint conditions are used for ensuring that the production foundation quantity of the manufacturing base is equal to the quantity of the planned construction fans and ensuring that the use time of each offshore operation surface is not in conflict with other plans.
Specifically, the constraint condition for ensuring that the number of bases stored in the wharf yard during construction does not exceed the design capacity of the wharf all the time is as follows:
in the formula, S j For manufacturing base to supply base quantity in month j,
the number of the foundation which can be constructed in the jth month on the ith offshore foundation working surface is actually adopted for construction, and the number is greater than or equal to the number of the foundation which can be constructed in the jth month>
Whether the ith offshore foundation working face participates in construction in the jth month or not is judged, B is the number of the foundations which can be piled in the preset wharf pile yard, i =1,2,.. Once, n, j =1,2, …, M and n are the number of the preset working faces to be constructed, and M is the longest construction period.
It is understood that, in the formula (3),
indicates the number of construction foundations of the ith offshore foundation working surface and the number of the construction foundations of the ith offshore foundation working surface when the ith offshore foundation working surface is in construction in the jth month>
It represents the difference between the number of supply foundations at the jth month and the sum of the number of construction foundations which can be constructed on all the offshore working surfaces which can be constructed.
In addition, the preset code head stack field can stack the basic quantity B and also needs to satisfy B min ≤B≤B min Constraint of (B) min Maximum design value representing quay yard stockable base quantity, B max Minimum design value, S, representing the stockable base quantity of a quay yard 1 The quantity of the goods supply base for the manufacturing base in the 1 st month needs to satisfy S which is more than or equal to 0 1 ≤B max The constraint of (2) that a manufacturing base needs to stock a certain number of foundations in advance before starting.
A constraint for ensuring that sufficient components end up in the quay yard for construction during construction, the constraint being given by:
in the formula, S j For manufacturing base to supply base quantity in month j,
the number of the foundation which can be constructed in the jth month on the ith offshore foundation working surface is actually adopted for construction, and the number is greater than or equal to the number of the foundation which can be constructed in the jth month>
And if the ith offshore foundation working face is not involved in construction in the jth month, i =1,2,.., n, j =1,2 and …, wherein M and n are the number of working faces to be constructed in advance, M is the longest construction period, and M is in the unit of month.
The constraint condition is used for ensuring continuous operation of the operation surface after the operation surface is put into construction until the operation surface leaves the field during construction, and the constraint formula is as follows:
in the formula (I), the compound is shown in the specification,
for the ith offshore foundation working face at the a i Whether to participate in construction in + Lambda month, a i Is the ith oneThe starting month of actual commissioning of the sector, λ =1,2, …, M- λ, M is the longest construction period.
In the embodiment of the invention, when the ith offshore foundation working face is at the a th 1 + λ month participating in construction, then
If the ith offshore foundation working plane is at the a th 1 If the room is not involved in construction in + lambda month>
And the constraint condition is used for ensuring that the accumulated investment time of each operation surface is greater than the shortest lease time, and the constraint formula is as follows:
in the formula (I), the compound is shown in the specification,
for the ith offshore foundation working face whether to participate in construction in the jth month, L min For the shortest renting time of the offshore foundation working surface, i =1,2,.. The n, j =1,2, …, M and n are the number of the preset working surfaces to be constructed, and M is the longest construction period.
The constraint condition is used for ensuring that the offshore operation surface adopted in the construction period finishes the construction target, and the constraint formula is as follows:
in the formula (I), the compound is shown in the specification,
the number of the foundation capable of being constructed in the j-th month of the ith offshore foundation working face is actually adopted for construction, N is the number of the fans planned to be constructed in the offshore wind farm, i =1,2, · N, j =1,2, …, M and N are the number of the working faces to be constructed in advance, and M is the longest construction period.
The constraint condition is used for ensuring that the production foundation quantity of the manufacturing base is equal to the quantity of the planned construction fans, and the constraint formula is as follows:
in the formula, S j And N is the number of planned construction fans of the offshore wind farm.
The constraint condition is used for ensuring that the use time of each offshore operation surface is not in conflict with other plans, and the constraint formula is as follows:
in the formula (I), the compound is shown in the specification,
for the ith offshore foundation working face whether to participate in construction in the jth month, A i For the earliest construction month of the ith offshore foundation working face, i =1,2, ·, n, j =1,2, …, M, n is the number of working faces to be constructed in advance, and M is the longest construction period.
And step S4: and adding one to the number of the preset working surfaces to be constructed, and returning to the step of determining the working surfaces to be constructed in all the offshore foundation working surfaces of the offshore wind farm by using a combination method according to the number of the preset working surfaces to be constructed to obtain a plurality of combination schemes of the working surfaces to be constructed until the number of the preset working surfaces to be constructed is more than the total number of the offshore foundation working surfaces.
Specifically, as shown in fig. 2, a flowchart of an organization strategy optimization method according to an embodiment of the present invention is provided wp Selecting n working surfaces to be constructed from the marine working surfaces to obtain
Ready to be constructedThe working surface combination scheme can further subdivide out the based on the actual input time for all the working surfaces to be constructed>
The implementation scheme is characterized in that aiming at minimizing the use cost of the working face and shortening the construction period, each implementation scheme of each combination scheme of the working face to be constructed is optimized by utilizing a plurality of inequality constraints (equations (2) to (6)) and a plurality of equality constraints (equations (7) to (8)), after the optimization is finished, as the basic assemblies conveyed to a wharf storage yard before actual operation can be reserved in advance, and assuming that the actual operation is started from the mth month in the optimal scheme, the total number N of the reserved basic assemblies is N B Is S 1 +S 2 +….+S m The subsequent monthly goods supply quantity S of the manufacturing base j 。
Example 2
The embodiment of the invention provides an organization strategy optimization system for foundation construction of an offshore wind turbine, as shown in fig. 3, comprising:
the combined scheme determining module 1 is used for determining the operation surfaces to be constructed in all the offshore basic operation surfaces of the offshore wind farm by a combination method according to the number of the preset operation surfaces to be constructed to obtain a plurality of combined schemes of the operation surfaces to be constructed; this module executes the method described in step S1 in embodiment 1, and is not described herein again.
An embodiment determining module 2, configured to determine a construction starting month of each to-be-constructed work surface, and obtain multiple embodiments of each to-be-constructed work surface combination scheme; this module executes the method described in step S2 in embodiment 1, and is not described herein again.
The optimization module 3 is used for optimizing each implementation scheme of each combined scheme of the working face to be constructed by utilizing a plurality of inequality constraint conditions and a plurality of equality constraint conditions with the aims of minimizing the use cost of the working face and shortening the construction period; this module executes the method described in step S3 in embodiment 1, which is not described herein again.
The circulating module 4 is used for adding one to the number of the preset working faces to be constructed and returning to the step of determining the working faces to be constructed in all the offshore foundation working faces of the offshore wind farm by using a combination method according to the number of the preset working faces to be constructed to obtain a plurality of combination schemes of the working faces to be constructed until the number of the preset working faces to be constructed is larger than the total number of the offshore foundation working faces; this module executes the method described in step S4 in embodiment 1, and details are not repeated here.
Example 3
An embodiment of the present invention provides a computer device, as shown in fig. 4, including: at least one processor 401, such as a CPU (Central Processing Unit), at least one communication interface 403, memory 404, and at least one communication bus 402. Wherein a communication bus 402 is used to enable connective communication between these components. The communication interface 403 may include a Display (Display) and a Keyboard (Keyboard), and the optional communication interface 403 may also include a standard wired interface and a standard wireless interface. The Memory 404 may be a RAM (random Access Memory) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The memory 404 may optionally be at least one memory device located remotely from the processor 401. Wherein the processor 401 may execute the organization strategy optimization method of the offshore wind turbine infrastructure construction of embodiment 1. A set of program codes is stored in the memory 404 and the processor 401 invokes the program codes stored in the memory 404 for performing the organization strategy optimization method of the offshore wind turbine infrastructure of embodiment 1.
The communication bus 402 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus 402 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one line is shown in FIG. 4, but it is not intended that there be only one bus or one type of bus.
The memory 404 may include a volatile memory (RAM), such as a random-access memory (RAM); the memory may also include a non-volatile memory (english: non-volatile memory), such as a flash memory (english: flash memory), a hard disk (english: hard disk drive, abbreviated: HDD) or a solid-state drive (english: SSD); the memory 404 may also comprise a combination of memories of the kind described above.
The processor 401 may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of a CPU and an NP.
The processor 401 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The PLD may be a Complex Programmable Logic Device (CPLD), a field-programmable gate array (FPGA), a General Array Logic (GAL), or any combination thereof.
Optionally, the memory 404 is also used to store program instructions. The processor 401 may call a program instruction to implement the method for optimizing an organization policy of the offshore wind turbine infrastructure in embodiment 1.
The embodiment of the invention also provides a computer-readable storage medium, wherein a computer-executable instruction is stored on the computer-readable storage medium, and the computer-executable instruction can execute the organization strategy optimization method for the offshore wind turbine foundation construction in the embodiment 1. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid-State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications of the invention may be made without departing from the spirit or scope of the invention.
Claims (4)
1. An organization strategy optimization method for foundation construction of an offshore wind turbine is characterized in that an offshore wind farm comprises a plurality of offshore foundation operation surfaces, and the optimization method comprises the following steps:
determining the working surfaces to be constructed in all the offshore foundation working surfaces of the offshore wind farm by a combination method according to the number of preset working surfaces to be constructed to obtain a plurality of working surface to be constructed combination schemes;
determining the starting construction month of each working face to be constructed to obtain a plurality of implementation schemes of the combination scheme of each working face to be constructed;
optimizing each implementation scheme of each combined scheme of the working surface to be constructed by utilizing a plurality of inequality constraint conditions and a plurality of equality constraint conditions with the aim of minimizing the use cost of the working surface and shortening the construction period;
adding one to the number of the preset operation surfaces to be constructed, and returning to the step of determining the operation surfaces to be constructed in all the offshore basic operation surfaces of the offshore wind farm by using a combination method according to the number of the preset operation surfaces to be constructed to obtain a plurality of combination schemes of the operation surfaces to be constructed until the number of the preset operation surfaces to be constructed is more than the total number of the offshore basic operation surfaces;
aiming at minimizing the use cost of the operation surface and shortening the construction period, the objective function is as follows:
wherein F is the operating cost of the working face, T is the construction period, C i For the monthly use cost of the ith offshore foundation work surface,
whether the ith offshore foundation working face participates in construction in the jth month or not, i =1,2,. So, n, j =1,2, …, M, n is the number of working faces to be constructed in advance, and M is the longest construction period;
the inequality constraints include:
the constraint condition is used for ensuring that the number of the bases stored in the wharf yard during construction does not exceed the design capacity of the wharf all the time, and the constraint formula is as follows:
in the formula, S j For manufacturing base to supply base quantity in month j,
the number of the foundation which can be constructed in the jth month of the ith offshore foundation working face is actually adopted for construction,
whether the ith offshore foundation working face participates in construction in the jth month or not is judged, B is the number of the foundations which can be piled in a preset wharf pile yard, i =1,2, · n, j =1,2, …, M, n is the number of the preset working faces to be constructed, and M is the longest construction period;
a constraint for ensuring that sufficient components end up in the quay yard for construction during construction, the constraint being given by:
in the formula, S j For manufacturing base to supply base quantity in month j,
the number of the foundation which can be constructed in the jth month of the ith offshore foundation working face is actually adopted for construction,
for the fact that whether the ith offshore foundation working face participates in construction in the jth month or not, i =1,2, ·, n, j =1,2, …, M and n are the number of preset working faces to be constructed, and M is the longest construction period;
the inequality constraints include:
the constraint condition is used for ensuring continuous operation of the operation surface after the operation surface is put into construction until the operation surface leaves the field during construction, and the constraint formula is as follows:
in the formula (I), the compound is shown in the specification,
for the ith offshore foundation working face at the a i + whether or not λ month participates in construction, a i For the starting month of the i-th working face actually put into use, λ =0,1,2, …, M-a i 1,M is the longest construction period;
the inequality constraints include:
the constraint condition is used for ensuring that the accumulated investment time of each operation surface is greater than the shortest lease time, and the constraint formula is as follows:
in the formula (I), the compound is shown in the specification,
for the ith offshore foundation working face whether to participate in construction in the jth month, L min For the shortest renting time length of the offshore foundation operation surface, i =1,2,. The right, n, j =1,2, …, M, n is the number of the operation surfaces to be constructed in advance, and M is the longest construction period;
the inequality constraints include:
the constraint condition is used for ensuring that the offshore operation surface adopted in the construction period finishes the construction target, and the constraint formula is as follows:
in the formula (I), the compound is shown in the specification,
the number of the foundation which can be constructed in the j-th month of the ith offshore foundation operation surface is actually adopted for construction, N is the number of the fans planned to be constructed in the offshore wind farm, i =1,2, · N, j =1,2, …, M, N is the number of the operation surfaces to be constructed in advance, and M is the longest construction period;
the equality constraints include:
the constraint condition is used for ensuring that the production foundation quantity of the manufacturing base is equal to the quantity of the planned construction fans, and the constraint formula is as follows:
in the formula, S j The number of goods supply bases in the jth month for a manufacturing base is N, and the number of the wind turbines for planning and constructing the offshore wind farm is N;
the equality constraints include:
the constraint condition is used for ensuring that the use time of each offshore operation surface is not in conflict with other plans, and the constraint formula is as follows:
in the formula (I), the compound is shown in the specification,
for the ith offshore foundation working face whether to participate in construction in the jth month, A i For the earliest construction month of the ith offshore foundation working face, i =1,2, ·, n, j =1,2, …, M, n is the number of working faces to be constructed in advance, and M is the longest construction period.
2. An organization strategy optimization system for foundation construction of an offshore wind turbine generator system is characterized by comprising:
the combined scheme determining module is used for determining the operation surfaces to be constructed in all the offshore foundation operation surfaces of the offshore wind farm by a combination method according to the number of the preset operation surfaces to be constructed to obtain a plurality of combined schemes of the operation surfaces to be constructed;
the implementation determining module is used for determining the construction starting month of each working face to be constructed to obtain a plurality of implementation schemes of the combination scheme of each working face to be constructed;
the optimization module is used for optimizing each implementation scheme of each combined scheme of the working face to be constructed by utilizing a plurality of inequality constraint conditions and a plurality of equality constraint conditions with the aim of minimizing the use cost of the working face and shortening the construction period;
and the circulation module is used for adding one to the number of the preset operation surfaces to be constructed and returning to the step of determining the operation surfaces to be constructed in all the offshore foundation operation surfaces of the offshore wind farm by using a combination method according to the number of the preset operation surfaces to be constructed to obtain a plurality of combination schemes of the operation surfaces to be constructed until the number of the preset operation surfaces to be constructed is greater than the total number of the offshore foundation operation surfaces.
3. A computer device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method of organizing strategy optimization for offshore wind turbine foundation construction of claim 1.
4. A computer-readable storage medium having stored thereon computer instructions for causing a computer to perform the method of organizing strategy optimization for offshore wind turbine foundation construction of claim 1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111257251.4A CN113850447B (en) | 2021-10-27 | 2021-10-27 | Organization strategy optimization method and system for foundation construction of offshore wind turbine generator |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111257251.4A CN113850447B (en) | 2021-10-27 | 2021-10-27 | Organization strategy optimization method and system for foundation construction of offshore wind turbine generator |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113850447A CN113850447A (en) | 2021-12-28 |
| CN113850447B true CN113850447B (en) | 2023-03-24 |
Family
ID=78983407
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111257251.4A Active CN113850447B (en) | 2021-10-27 | 2021-10-27 | Organization strategy optimization method and system for foundation construction of offshore wind turbine generator |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113850447B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111461443A (en) * | 2020-04-07 | 2020-07-28 | 上海电气风电集团股份有限公司 | Optimal design method and system for wind power plant, electronic device and storage medium |
| WO2021031336A1 (en) * | 2019-08-16 | 2021-02-25 | 清华大学 | Method for automated construction progress resource optimization employing building information model |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108258724A (en) * | 2018-01-22 | 2018-07-06 | 佛山科学技术学院 | A kind of wind power plant unit is laid out Multipurpose Optimal Method |
| CN111581823B (en) * | 2020-05-06 | 2023-10-10 | 北方工业大学 | Construction quality-construction period-cost optimization method and device and electronic equipment |
| CN113496293A (en) * | 2021-06-24 | 2021-10-12 | 中国能源建设集团广东省电力设计研究院有限公司 | Method and device for generating operation and maintenance scheme of offshore wind farm |
-
2021
- 2021-10-27 CN CN202111257251.4A patent/CN113850447B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021031336A1 (en) * | 2019-08-16 | 2021-02-25 | 清华大学 | Method for automated construction progress resource optimization employing building information model |
| CN111461443A (en) * | 2020-04-07 | 2020-07-28 | 上海电气风电集团股份有限公司 | Optimal design method and system for wind power plant, electronic device and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113850447A (en) | 2021-12-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Swarup et al. | Unit commitment solution methodology using genetic algorithm | |
| Neuhoff et al. | A coordinated strategic reserve to safeguard the European energy transition | |
| CN110084401B (en) | Scheduling optimization method and device based on reserved maintenance time | |
| Bohnsack et al. | The institutional evolution process of the global solar industry: The role of public and private actors in creating institutional shifts | |
| CN110867852B (en) | Microgrid energy storage optimization configuration method and device considering whole life cycle cost | |
| CN107169676A (en) | A kind of system and method for the engineering material management of utilization planar bar code technology | |
| Fernández‐Muñoz et al. | Contribution of non‐conventional pumped‐storage hydropower plant configurations in an isolated power system with an increasing share of renewable energy | |
| CN111724254B (en) | Peak regulation auxiliary service and electric energy combined clearing method, system, device and medium | |
| CN113850447B (en) | Organization strategy optimization method and system for foundation construction of offshore wind turbine generator | |
| CN116432272A (en) | Building materialization stage construction optimization method, electronic equipment and storage medium | |
| CN114238856A (en) | Method, device and equipment for solving future prediction error of wind and light resources and storage medium | |
| CN108171407A (en) | A kind of energy storage need assessment method, system, terminal and readable storage medium storing program for executing | |
| KR102026245B1 (en) | Apparatus and method for designing offshore wind farm | |
| CN116822928B (en) | Power transmission line maintenance method and device, computer equipment and storage medium | |
| CN116826859A (en) | Power supply carbon-electricity collaborative planning method, device, equipment and storage medium | |
| CN117350747A (en) | Energy equipment planning method and system based on ladder carbon transaction and optimal construction time sequence | |
| JP5524145B2 (en) | Power supply / demand balance check method and power supply / demand balance check device | |
| CN110232202A (en) | Generation Rights Trade effect evaluation method, device, computer equipment and storage medium | |
| CN116014714A (en) | Multi-stage dynamic planning method and device for electric power system under carbon constraint | |
| CN109086993A (en) | Block assembly and the generation method and device for carrying plan | |
| CN109063859B (en) | Power grid equipment maintenance optimization processing method and device | |
| CN114944674A (en) | Wind power plant power control method and device, control equipment and storage medium | |
| CN111415087A (en) | Partitioned storage device, method, equipment and medium for coal storage of coal yard | |
| CN113962410A (en) | Power distribution network post-disaster emergency repair scheduling method and device based on greedy algorithm combination | |
| González et al. | Reliability analysis for systems with large hydro resources in a deregulated electric power market |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |