CN112464545B - Layout method, system, equipment and medium for cables and transformer substation of offshore wind farm - Google Patents

Layout method, system, equipment and medium for cables and transformer substation of offshore wind farm Download PDF

Info

Publication number
CN112464545B
CN112464545B CN202011295082.9A CN202011295082A CN112464545B CN 112464545 B CN112464545 B CN 112464545B CN 202011295082 A CN202011295082 A CN 202011295082A CN 112464545 B CN112464545 B CN 112464545B
Authority
CN
China
Prior art keywords
cable
fans
cost
optimal
partition
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
Application number
CN202011295082.9A
Other languages
Chinese (zh)
Other versions
CN112464545A (en
Inventor
侯鹏
朱江生
金荣森
陈乐�
孟晓刚
缪骏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Electric Wind Power Group Co Ltd
Original Assignee
Shanghai Electric Wind Power Group Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shanghai Electric Wind Power Group Co Ltd filed Critical Shanghai Electric Wind Power Group Co Ltd
Priority to CN202011295082.9A priority Critical patent/CN112464545B/en
Publication of CN112464545A publication Critical patent/CN112464545A/en
Application granted granted Critical
Publication of CN112464545B publication Critical patent/CN112464545B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/25—Design optimisation, verification or simulation using particle-based methods
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind energy
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/76—Power conversion electric or electronic aspects

Abstract

The invention discloses a layout method, a system, equipment and a medium for cables and substations of an offshore wind farm, wherein the method comprises the following steps: s1Initializing position information of each outer-layer particle in the outer-layer MPSO; s2Extracting a partition characteristic variable based on the position information of the transformer substation in the position information of all the fans and the position information of the outer-layer particles; s3Partitioning all fans; s4Respectively solving the cable connection structure with the optimal cable cost for the fans in each subarea by using the inner-layer MPSO; calculating the sum of the optimal costs of all the partitions to obtain the optimal total cost; s5Judging whether the outer MPSO meets the end condition, if not, entering the next iteration process of the outer MPSO, and executing the step S2(ii) a If yes, executing step S6；S6And selecting the cost-optimal total cost from all the optimal total costs as the final total cost and outputting the final total cost. The invention can partition the wind field under the constraint of meeting the maximum cable carrying capacity, and solves the common optimization problem of intelligent fan grouping and submarine cable topological optimization.

Description

Layout method, system, equipment and medium for cables and transformer substation of offshore wind farm
Technical Field
The invention relates to the technical field of offshore wind farm design, in particular to a layout method, a layout system, layout equipment and layout medium of cables and transformer substations of an offshore wind farm.
Background
Wind power generation is one of the fastest-developing green energy technologies in the world currently, and an offshore wind farm is the key point of wind power development in recent years due to the characteristics of high wind energy resource density, low turbulence intensity, low influence on environment and residents and the like.
Given the limitations on offshore cable capacity (also referred to as ampacity), the maximum number of wind turbines that a cable can withstand is limited. The traditional heuristic algorithm is based on a greedy algorithm, the problem of topological connection optimization of the cable is optimized step by step, the optimization mode can ensure the optimal solution of the local cable length, but the limitation of the current-carrying capacity of the cable cannot be considered globally. Heuristic algorithms such as those based on minimum spanning tree or travel problems may seek shortest path connections but cannot account for the cost differences due to cable type differences.
In addition, in order to meet the design requirement and increase the solving speed, the whole wind power plant can be partitioned firstly. The current technology generally relies on a clustering algorithm (K-means or FCM) to perform clustering with the relative position between wind turbines or the angle of the wind turbines relative to the offshore substation as input. Although the method can specify the total number of the divided areas, the number of the fans in each area cannot be specified, namely the number of the fans in each area after the areas are divided is unbalanced; moreover, the stability of the clustering result every time cannot be guaranteed, that is, the result of the partition has non-uniqueness. Based on such zoning results, the prior art fails to take into account the impact of cable capacity limitations. For a wind field composed of a large-capacity (generally more than 5 MW) and a large-number (generally more than 80) of wind turbines, the current-carrying capacity of the cable may not be limited by the result after partitioning, and thus an unfeasible design scheme is generated.
In addition, in the electrical design process of the offshore wind farm, the positions of the cable lines and the offshore transformer substation are generally optimized step by step, so that the problems can be simplified, and the optimization difficulty is reduced. But the optimal combination obtained in each optimization process cannot guarantee the optimization of the overall problem.
Disclosure of Invention
The invention aims to overcome the defect that the current-carrying capacity of a cable cannot be met as a result of a partitioned wind farm cable in the prior art is limited by a fan, so that an infeasible design scheme is provided, and provides a method, a system, equipment and a medium for distributing the offshore wind farm cable, a transformer substation, which can partition a wind farm and realize the aim of engineering design under the constraint of meeting the maximum current-carrying capacity of the cable.
The invention solves the technical problems through the following technical scheme:
the invention provides a layout method of offshore wind farm cables and substations, which comprises the following steps:
S1initializing position information and corresponding speed parameters of each outer layer particle in the outer layer MPSO (improved particle swarm); the optimization variable corresponding to each outer-layer particle comprises position information of the transformer substation;
S2extracting partition characteristic variables based on the position information of all fans in the offshore wind power plant and the position information of the transformer substation in the initialized position information of the outer-layer particles, wherein the partition characteristic variables comprise angles of the fans relative to the transformer substation;
S3partitioning all the fans based on the partition characteristic variables and the cable current-carrying capacity to obtain partition results, wherein the partition results comprise a plurality of partitions;
S4respectively solving the cable connection structure with the optimal cable cost for the fan in each subarea by using the inner-layer MPSO, wherein each cable connection structure with the optimal cable cost comprises the fan cable path with the optimal cost and the optimal cost; calculating the sum of the optimal costs of all the partitions to obtain an optimal total cost;
S5judging whether the outer-layer MPSO meets the end condition, if not, entering the next iteration process of the outer-layer MPSO to obtain an updated MPSOThe position information of the transformer substation is returned to and executed in the step S2If yes, go to step S6；
S6Selecting the cost optimal from all the optimal total costs as a final total cost, and outputting the position information of the substation corresponding to the final total cost, the cable path of the fan in each corresponding subarea and the final total cost.
Preferably, step S3Wherein partitioning all of the wind turbines based on the partition characteristic variables and the cable ampacity comprises:
determining the grouping quantity of all the fans and/or the number of the fans in each group according to the limitation of the current-carrying capacity of the cable;
and partitioning all the fans based on the partition characteristic variable, the grouping quantity of the fans and/or the number of the fans in each group.
Preferably, the layout method further comprises the steps of:
acquiring position information and capacity information of all the fans;
acquiring the current-carrying capacity of the cable from a cable electrical parameter database;
step S3The method also comprises the step of partitioning all the fans based on the partition characteristic variable, the cable ampacity and the capacity information.
Preferably, the position information includes coordinate information;
the partition characteristic variable further comprises the relative position between the fans;
the partition result further includes the number of the fan included in each of the partitions.
Preferably, the step of determining the number of groups of all the fans and/or the number of fans in each group according to the limitation of the current-carrying capacity of the cable includes:
and manually determining the grouping quantity of all the fans and/or the number of the fans in each group according to the limitation of the current-carrying capacity of the cable.
Preferably, the fan cable path includes a cable connection mode and a cable cross-sectional area corresponding to the fan.
Preferably, step S4The method for solving the optimal cable connection structure of the cable cost for the fan in each subarea by using the inner MPSO comprises the following steps:
setting the maximum iteration times of the MPSO of the inner layer;
initializing a cable connection mode corresponding to each fan and a cable sectional area corresponding to each fan in the position information of each inner layer particle in the inner layer MPSO, and generating a corresponding connection matrix;
generating a corresponding cost information matrix based on the connection matrix according to the cable cost information and the electric load flow meter;
based on the cost information matrix, solving a cable connection structure with the optimal cable cost after the iteration of the maximum iteration times;
the electric current-carrying capacity meter comprises the cable current-carrying capacities corresponding to different cable cross sections; the connection matrix comprises the length corresponding to each cable connection branch; the cost information matrix comprises unit resistance and price of the cable type corresponding to each cable connection branch and the number of the borne fans.
The invention provides a layout system of offshore wind farm cables and transformer substations, which comprises an initialization module, an extraction module, a partitioning module, a calculation module, a judgment module and an output module, wherein the initialization module is used for acquiring a plurality of parameters of the cable and the transformer substations;
the initialization module is used for initializing the position information and the corresponding speed parameters of each outer-layer particle in the outer-layer MPSO; the optimization variable corresponding to each outer-layer particle comprises position information of the transformer substation;
the extraction module is used for extracting partition characteristic variables based on the position information of all fans in the offshore wind power plant and the position information of the transformer substation in the initialized position information of the outer-layer particles, wherein the partition characteristic variables comprise angles of the fans relative to the transformer substation;
the partition module is used for partitioning all the fans based on the partition characteristic variables and the cable current-carrying capacity to obtain partition results, and the partition results comprise a plurality of partitions;
the computing module comprises an inner layer processing unit and a computing unit; the inner layer processing unit is used for solving a cable connection structure with the optimal cable cost for the fan in each partition by using the inner layer MPSO respectively, and each cable connection structure with the optimal cable cost comprises the fan cable path with the optimal cost and the optimal cost; the computing unit is used for computing the sum of the optimal costs of all the partitions to obtain the optimal total cost;
the judging module is used for judging whether the outer-layer MPSO meets an end condition or not, and if so, the output module is called; if not, entering the next iteration process of the outer-layer MPSO to obtain updated position information of the transformer substation, and calling the extraction module;
the output module is used for selecting the cost optimal from all the optimal total costs as the final total cost, and outputting the position information of the substation corresponding to the final total cost, the cable path of the fan in each corresponding subarea and the final total cost.
Preferably, the partitioning module includes a determination unit and a partitioning unit;
the determining unit is used for determining the grouping quantity of all the fans and/or the number of the fans in each group according to the limitation of the current-carrying capacity of the cable;
the partition unit is used for partitioning all the fans based on the partition characteristic variable, the grouping quantity of the fans and/or the number of the fans in each group.
Preferably, the layout system further comprises a fan information acquisition module and a cable information acquisition module;
the fan information acquisition module is used for acquiring the position information and the capacity information of all the fans;
the cable information acquisition module is used for acquiring the current-carrying capacity of the cable from a cable electrical parameter database;
and the partition module is used for partitioning all the fans based on the partition characteristic variables, the cable current-carrying capacity and the capacity information so as to obtain partition results.
Preferably, the position information includes coordinate information;
the partition characteristic variable further comprises the relative position between the fans;
the partition result further includes the number of the fan included in each of the partitions.
Preferably, the determining unit is configured to obtain a grouping number of all the fans and/or a number of fans in each group, where the grouping number of all the fans and/or the number of fans in each group are determined manually according to the limitation of the cable ampacity.
Preferably, the fan cable path includes a cable connection mode and a cable cross-sectional area corresponding to the fan.
Preferably, the inner layer processing unit includes:
the setting subunit is used for setting the maximum iteration times of the inner-layer MPSO;
the initialization subunit is used for initializing a cable connection mode corresponding to each fan and a cable cross section corresponding to each fan in the position information of each inner layer particle in the inner layer MPSO and generating a corresponding connection matrix;
the first processing subunit is used for generating a corresponding cost information matrix based on the connection matrix according to the cable cost information and the electric load flow meter;
the second processing subunit is used for solving a cable connection structure with the optimal cable cost after the iteration of the maximum iteration times based on the cost information matrix;
the electric current-carrying capacity meter comprises cable current-carrying capacities corresponding to different cable sectional areas; the connection matrix comprises the length corresponding to each cable connection branch; the cost information matrix comprises unit resistance and price of the cable type corresponding to each cable connection branch and the number of the borne fans.
A third aspect of the present invention provides an electronic device, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the computer program, implements the method for laying out an offshore wind farm cable and a substation according to the first aspect.
A fourth aspect of the invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the method of laying out offshore wind farm cables and substations according to the first aspect.
The positive progress effects of the invention are as follows: the invention provides a cable connection design scheme of an offshore wind power plant current collection system in a scanning mode, which can partition a wind field under the constraint of meeting the maximum cable carrying capacity and can manually specify the number of fans in each area so as to realize the aim of engineering design. According to the invention, an algorithm capable of grouping fans in the offshore wind farm according to the maximum current-carrying capacity of the existing cable is developed from the actual engineering requirements, and optimization is carried out by combining a meta-heuristic intelligent algorithm, so that the problem of joint optimization of intelligent grouping of the fans and topological optimization of submarine cables is smoothly solved. The invention optimizes the cable path and the position of the offshore substation integrally, and avoids the problem that the optimal cost cannot be obtained due to step-by-step optimization.
Drawings
Fig. 1 is a flowchart of a layout method of cables and substations of an offshore wind farm in embodiment 1 of the present invention.
FIG. 2 is a flowchart of step 106 in embodiment 1 of the present invention.
FIG. 3a is a schematic representation of the results of partitioning the wind farm 80 of the wind turbines via the FCM algorithm.
FIG. 3b is a schematic diagram of the result of partitioning the wind turbines of the wind farm 80 by way of step 105 in embodiment 1 of the present invention.
Fig. 3c is a schematic diagram of an optimal layout obtained by the method for laying out cables and substations of an offshore wind farm according to embodiment 1 of the present invention.
Fig. 4 is a schematic block diagram of a layout system of cables and substations of an offshore wind farm in embodiment 2 of the present invention.
Fig. 5 is a schematic structural diagram of a partition module in embodiment 2 of the present invention.
Fig. 6 is a schematic structural diagram of a computing module in embodiment 2 of the present invention.
Fig. 7 is a schematic structural diagram of an inner layer processing unit in embodiment 2 of the present invention.
Fig. 8 is a schematic structural diagram of an electronic device according to embodiment 3 of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
Example 1
The embodiment provides a layout method of offshore wind farm cables and substations, which comprises the following steps:
step 101, acquiring position information and capacity information of all fans in an offshore wind power plant.
And 102, acquiring the current-carrying capacity of the cable from a cable electrical parameter database.
And 103, initializing position information and corresponding speed parameters of each outer-layer particle in the outer-layer MPSO.
The optimization variables corresponding to each outer-layer particle comprise position information of the transformer substation, and the position information specifically comprises coordinate information.
In this embodiment, the number of optimization variables is determined to be 2, that is, x and y coordinates of the substation. The learning factors c1 and c2 of the outer-layer MPSO are set to 2, and the population size and the iteration number are determined. Determining the boundary condition of each variable, namely an updatable value range, and determining the maximum speed of the particles. The initial solutions (particle positions) and update step sizes (particle velocities) for all particles (substation x, y coordinates) are randomly generated according to the MPSO principle.
And 104, extracting the partition characteristic variables based on the position information of all the fans in the offshore wind power plant and the position information of the transformer substation in the initialized position information of the outer-layer particles.
Wherein the partition characteristic variables comprise the angle of each wind turbine relative to the substation and the relative position between the wind turbines.
In this embodiment, a distance matrix, i.e., a neighborhood matrix, corresponding to each node is calculated according to a given fan coordinate and a randomly generated substation position.
And 105, partitioning all the fans based on the partition characteristic variables, the cable current-carrying capacity and the capacity information to obtain partition results.
Specifically, the grouping quantity of all fans and the number of the fans in each group are determined according to the limitation of the current-carrying capacity of the cable; and then partitioning all the fans based on the partition characteristic variables, the grouping quantity of the fans and the number of the fans in each group. The grouping quantity of all fans and the number of the fans in each group are determined manually according to the limitation of the current-carrying capacity of the cable, and the grouping quantity and the number of the fans in each group can also be determined by adopting the existing machine learning algorithm; in this embodiment, the number of groups of fans and the number of fans in each group are set manually according to the limitation of the current-carrying capacity of the cable. The partition result includes a number of partitions and a number of fans included within each partition.
In this embodiment, the relative angle between each fan and the randomly generated substation is calculated. And starting a scanning method, determining the number N _ z of the minimum partitions needing to be divided according to the current-carrying capacity of the cable, and manually inputting the number of the desired partitions by taking the number N _ z as a limiting condition. And then manually determining the number of fans in each area, and entering a partition cycle.
Step 106, respectively using the inner MPSO to solve the cable connection structure with the optimal cable cost for the fan in each subarea, wherein the cable connection structure with the optimal cable cost comprises the fan cable path with the optimal cost and the optimal cost; and calculating the sum of the optimal costs of all the partitions to obtain the optimal total cost.
The fan cable path comprises a cable connection mode and a cable sectional area corresponding to the fan.
And 107, judging whether the outer-layer MPSO meets the end condition, if so, executing the step 108, otherwise, entering the next iteration process of the outer-layer MPSO to obtain updated position information of the transformer substation, and then returning to the step 104.
And 108, selecting the cost optimal from all the optimal total costs as a final total cost, and outputting the position information of the substation corresponding to the final total cost, the cable path of the corresponding fan in each subarea and the final total cost.
As shown in fig. 2, in this embodiment, the step 106 of using the inner-layer MPSO to solve the cable connection structure with the optimal cable cost for the wind turbine in each partition specifically includes the following steps:
step 1061, setting the maximum iteration number of the inner-layer MPSO.
Step 1062, initializing a cable connection mode corresponding to each fan and a cable cross-sectional area corresponding to each fan in the position information of each inner layer particle in the inner layer MPSO, and generating a corresponding connection matrix.
And 1063, generating a corresponding cost information matrix based on the connection matrix according to the cable cost information and the electric load flow table.
And 1064, solving a cable connection structure with the optimal cable cost after iteration is carried out for the maximum iteration times based on the cost information matrix.
The electric current-carrying capacity meter comprises cable current-carrying capacities corresponding to different cable sectional areas; the connection matrix comprises the length corresponding to each cable connection branch; the cost information matrix comprises unit resistance and price of the cable type corresponding to each cable connection branch and the number of the borne fans.
In this embodiment, the initialization of the inner-layer MPSO is started in the divided zone, and specifically, the number of the optimization variables is 2 × N _ w, i according to the number of fans (N _ w, i; i belongs to (1, N _ z)), where N _ w, i represent the cable connection mode, and N _ w, i are the selection of the cable cross-sectional area. The learning factors c1 and c2 of the inner-layer MPSO are set to 2, and the population size and the iteration number are determined. Determining the boundary conditions of the variables and determining the maximum speed of the particles. And the fans in the corresponding areas randomly generate initial solutions (particle positions) and updating step lengths (particle speeds) of partial particles (cable connection mode and cross section area) according to an MPSO principle. Calculating a fitness value (fit value) corresponding to each particle; setting the current position of each particle as the individual extreme value position Pi of each particle, and taking the global extreme value position Pg as the position corresponding to the optimal adaptive value of the current group; calculating the fitness value after each particle updating position: if the adaptive value of the particle i is superior to the adaptive value corresponding to the extreme value position Pi of the previous individual, assigning the position of the particle i to the position Pi; if the adaptive value of the current extreme value position Pi is superior to the adaptive value of the global extreme value position Pg, assigning the position of the current extreme value position Pi to the Pg; entering the next iteration process until reaching a preset maximum iteration time k; particle decoding and outputting the result: pg is the optimal solution, the optimal solution is decoded to obtain the layout scheme of the reconstructed and optimized cable and transformer substation, and the optimal objective function value is fitness (Pg).
It should be noted that, in this embodiment, the sequence of step 101 and step 102 is only an example, and in other alternative implementations, the sequence of the two may be interchanged, and may also be located after step 103 as long as the position information, the capacity information, and the cable ampacity are obtained before the cable ampacity is used.
In order to verify the technical effect of the method for arranging the cables and the transformer substations of the offshore wind farm, a small-scale wind farm is selected as a case for analysis. The wind power plant consists of 80 Vestas (vistas) -2.0 megawatt fans, the voltage level of a medium-voltage cable in the wind power plant is 35kV (kilovolt), and energy generated by all the fans in the wind power plant is collected to an offshore booster station through the medium-voltage cable and passes through 800mm2High voltage transmission cable of (square millimeter) -150kV is transmitted to shore. Fan power factor 0.95, maximum section 400mm of medium voltage cable in cable electric parameter database2The current carrying capacity was 630A (amperes). The cable can bear 15 fans at most by calculation, so that all energy can be gathered by at least 6 outgoing lines of the transformer substation.
The result pair obtained by partition clustering according to the FCM and the scheme provided in this embodiment is shown in fig. 3a and 3 b. Comparing fig. 3a and fig. 3b, it can be seen that in the two methods, under the same 6 zones, the number of fans included in each zone in the partition result of the FCM is 24, 18, 9, 10, and 10, respectively, whereas the number of fans included in each zone in the partition result in the manner of step 105 in this embodiment is 14, and 10, respectively. Therefore, the partition mode of the existing method cannot find the matched cable type under the condition of certain cable current-carrying capacity, and particularly two areas with the fan numbers of 24 and 18 have no feasible solution. Fig. 3c shows the optimization results obtained by the layout method of the offshore wind farm cable and the substation provided in this embodiment.
The layout method of the offshore wind farm cable and the transformer substation provided by the embodiment solves the problem that the optimal cost is difficult to obtain due to manual experience; the dependence on a commercial solver and a large amount of calculation cost are avoided, and the electrical design of the large-scale offshore wind farm can be optimized in a short time.
According to the layout method of the offshore wind farm cable and the transformer substation, provided by the embodiment, the particle swarm algorithm parameters are dynamically adjusted by using the adaptive algorithm, so that the stability of the algorithm is improved, and the capability of searching the global optimal solution is improved; the electrical path and the position of the offshore substation are integrally optimized, and the situation that optimal cost cannot be obtained due to step-by-step optimization is avoided.
The embodiment provides a cable connection design scheme of an offshore wind farm current collection system similar to a scanning mode, which can partition a wind farm under the constraint of meeting the maximum cable carrying capacity and manually specify the number of fans in each area, thereby achieving the aim of engineering design. According to the method, an algorithm capable of grouping the fans in the offshore wind farm according to the maximum current-carrying capacity of the existing cable is provided from the practical engineering requirements, optimization is carried out by combining a meta-heuristic intelligent algorithm, and the problem of common optimization of intelligent grouping of the fans and topological optimization of submarine cables is smoothly solved.
Example 2
As shown in fig. 4, the present embodiment provides a layout system for cables and substations of an offshore wind farm, including: the system comprises a fan information acquisition module 1, a cable information acquisition module 2, an initialization module 3, an extraction module 4, a partitioning module 5, a calculation module 6, a judgment module 7 and an output module 8.
The fan information acquisition module 1 is used for acquiring position information and capacity information of all fans; the cable information acquisition module 2 is used for acquiring the current-carrying capacity of the cable from the cable electrical parameter database.
The initialization module 3 is used for initializing the position information and corresponding speed parameters of each outer layer particle in the outer layer MPSO; the optimization variable corresponding to each outer-layer particle comprises position information of the transformer substation; the location information includes coordinate information.
The extraction module 4 is used for extracting partition characteristic variables based on the position information of all the fans in the offshore wind power plant and the position information of the transformer substation in the initialized position information of the outer-layer particles, wherein the partition characteristic variables comprise the angle of each fan relative to the transformer substation and the relative position between the fans.
And the partition module 5 is used for partitioning all the fans based on partition characteristic variables, cable current-carrying capacity and capacity information to obtain partition results. The partition result includes a number of partitions and a number of fans included within each partition.
As shown in fig. 5, the partitioning module 5 in this embodiment includes a determining unit 501 and a partitioning unit 502. The determining unit 501 is configured to determine the grouping number of all the fans and/or the number of fans in each group according to the limitation of the cable ampacity; partition unit 502 is configured to partition all of the fans based on partition characteristic variables, a number of groups of fans, and/or a number of fans within each group. The determining unit 501 is configured to obtain the grouping number of all the fans and/or the number of fans in each group, where the grouping number of all the fans and/or the number of fans in each group may be determined by using a machine learning algorithm, or may be determined manually according to the limitation of the cable ampacity; in this embodiment, manual determination is used.
As shown in fig. 6, the calculation module 6 includes an inner layer processing unit 601 and a calculation unit 602; the inner layer processing unit 601 is configured to use the inner layer MPSO to solve the cable connection structure with the optimal cable cost for the fans in each partition, where the cable connection structure with the optimal cable cost includes the fan cable path with the optimal cost and the optimal cost; the calculating unit 602 is configured to calculate a sum of optimal costs of all the partitions to obtain an optimal total cost; the fan cable path comprises a cable connection mode and a cable sectional area corresponding to the fan.
The judging module 7 is used for judging whether the outer-layer MPSO meets the end condition, if so, the output module 8 is called, otherwise, the next iteration process of the outer-layer MPSO is started to obtain updated position information of the transformer substation, and the extracting module 4 is called.
The output module 8 is configured to select a cost-optimal one from all the optimal total costs as a final total cost, and output location information of the substation corresponding to the final total cost, a cable path of a corresponding wind turbine in each partition, and the final total cost.
As shown in fig. 7, in the present embodiment, the inner layer processing unit 601 includes a setting sub-unit 6011, an initializing sub-unit 6012, a first processing sub-unit 6013, and a second processing sub-unit 6014. The setting subunit 6011 is configured to set a maximum iteration number of the inner-layer MPSO. The initialization subunit 6012 is configured to initialize a cable connection manner corresponding to each fan and a cable cross-sectional area corresponding to each fan in the position information of each inner layer particle in the inner layer MPSO, and generate a corresponding connection matrix. First processing subunit 6013 is configured to generate a corresponding cost information matrix based on the connection matrix according to the cable cost information and the electrical carrier flow meter. The second processing subunit 6014 is configured to solve the cable connection structure with the optimal cable cost after the iteration is performed for the maximum iteration number based on the cost information matrix. The electric current-carrying capacity meter comprises cable current-carrying capacities corresponding to different cable sectional areas; the connection matrix comprises the length corresponding to each cable connection branch; the cost information matrix comprises the unit resistance and price of the cable type corresponding to each cable connection branch and the number of the borne fans.
The layout system of the offshore wind farm cable and the transformer substation provided by the embodiment solves the problem that the optimal cost is difficult to obtain due to manual experience; the dependence on a commercial solver and a large amount of calculation cost are avoided, and the electrical design of the large-scale offshore wind farm can be optimized in a short time.
The layout system of the offshore wind farm cable and the transformer substation provided by the embodiment dynamically adjusts the particle swarm algorithm parameters by using the adaptive algorithm, so that the stability of the algorithm and the capability of searching the global optimal solution are improved; the electrical path and the position of the offshore substation are integrally optimized, and the situation that optimal cost cannot be obtained due to step-by-step optimization is avoided.
The embodiment provides a cable connection design scheme of an offshore wind farm current collection system similar to a scanning mode, which can partition a wind farm under the constraint of meeting the maximum cable carrying capacity and manually specify the number of fans in each area, thereby achieving the aim of engineering design. According to the method, an algorithm capable of grouping the fans in the offshore wind farm according to the maximum current-carrying capacity of the existing cable is provided from the practical engineering requirements, optimization is carried out by combining a meta-heuristic intelligent algorithm, and the problem of common optimization of intelligent grouping of the fans and topological optimization of submarine cables is smoothly solved.
Example 3
Fig. 8 is a schematic structural diagram of an electronic device according to embodiment 3 of the present invention. The electronic device comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, and the processor executes the program to realize the layout method of the offshore wind farm cable and the transformer substation in the embodiment 1. The electronic device 60 shown in fig. 8 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
As shown in fig. 8, the electronic device 60 may be embodied in the form of a general purpose computing device, which may be, for example, a server device. The components of the electronic device 60 may include, but are not limited to: the at least one processor 61, the at least one memory 62, and a bus 63 connecting the various system components (including the memory 62 and the processor 61).
The bus 63 includes a data bus, an address bus, and a control bus.
The memory 62 may include volatile memory, such as Random Access Memory (RAM)621 and/or cache memory 622, and may further include Read Only Memory (ROM) 623.
The memory 62 may also include a program/utility 625 having a set (at least one) of program modules 624, such program modules 624 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The processor 61 executes various functional applications and data processing, such as a layout method of offshore wind farm cables and substations in embodiment 1 of the present invention, by running a computer program stored in the memory 62.
The electronic device 60 may also communicate with one or more external devices 64 (e.g., keyboard, pointing device, etc.). Such communication may be through an input/output (I/O) interface 65. Also, model-generating device 60 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via network adapter 66. As shown, a network adapter 66 communicates with the other modules of the model-generating device 60 over a bus 63. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the model-generating device 60, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.
It should be noted that although in the above detailed description several units/modules or sub-units/modules of the electronic device are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module according to embodiments of the invention. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.
Example 4
The present embodiment provides a computer-readable storage medium on which a computer program is stored, which when executed by a processor, implements the steps of the method of laying out offshore wind farm cables and substations of embodiment 1.
More specific examples that may be employed by the readable storage medium include, but are not limited to: a portable disk, a hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In a possible implementation, the invention can also be implemented in the form of a program product comprising program code for causing a terminal device to perform the steps of implementing the method for the layout of offshore wind farm cables and substations in example 1, when said program product is run on said terminal device.
Where program code for carrying out the invention is written in any combination of one or more programming languages, the program code may be executed entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on a remote device or entirely on the remote device.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.

Claims (16)

1. A layout method for cables and substations of offshore wind farms is characterized by comprising the following steps:
S1initializing position information and corresponding speed parameters of each outer-layer particle in the outer-layer MPSO; the optimization variable corresponding to each outer-layer particle comprises position information of the transformer substation;
S2extracting partition characteristic variables based on the position information of all fans in the offshore wind power plant and the position information of the transformer substation in the initialized position information of the outer-layer particles, wherein the partition characteristic variables comprise angles of the fans relative to the transformer substation;
S3partitioning all the fans based on the partition characteristic variables and the cable current-carrying capacity to obtain partition results, wherein the partition results comprise a plurality of partitions;
S4respectively using the MPSO of the inner layer to solve the cable connection structure with the optimal cable cost for the fan in each subarea, wherein each cable connection structure with the optimal cable cost comprises the fan cable path with the optimal costPath and optimal cost; calculating the sum of the optimal costs of all the partitions to obtain the optimal total cost;
S5judging whether the outer MPSO layer meets the end condition, if so, executing the step S6If not, entering the next iteration process of the outer-layer MPSO to obtain updated position information of the transformer substation, and returning to execute the step S2；
S6Selecting the cost optimal from all the optimal total costs as a final total cost, and outputting the position information of the substation corresponding to the final total cost, the cable path of the fan in each corresponding subarea and the final total cost.
2. The method of claim 1, wherein step S comprises3Wherein partitioning all of the wind turbines based on the partition characteristic variables and the cable ampacity comprises:
determining the grouping quantity of all the fans and/or the number of the fans in each group according to the limitation of the current-carrying capacity of the cable;
and partitioning all the fans based on the partition characteristic variable, the grouping quantity of the fans and/or the number of the fans in each group.
3. The method of laying out offshore wind farm cables and substations according to claim 1, characterized in that it further comprises the following steps:
acquiring position information and capacity information of all the fans;
acquiring the current-carrying capacity of the cable from a cable electrical parameter database;
step S3The method also comprises the step of partitioning all the fans based on the partition characteristic variable, the cable ampacity and the capacity information.
4. The method of claim 1, wherein the location information comprises coordinate information;
the partition characteristic variable further comprises the relative position between the fans;
the partition result further includes the number of the fan included in each of the partitions.
5. The method of claim 2, wherein the step of determining the number of groups of all of the wind turbines and/or the number of wind turbines in each group according to the limit of the current-carrying capacity of the cable comprises:
and manually determining the grouping quantity of all the fans and/or the number of the fans in each group according to the limitation of the current-carrying capacity of the cable.
6. The method of claim 1, wherein the wind turbine cable path includes a cable connection mode and a cable cross-sectional area corresponding to the wind turbine.
7. The method of claim 6, wherein step S comprises4The method for solving the optimal cable connection structure of the cable cost for the fan in each subarea by using the inner MPSO comprises the following steps:
setting the maximum iteration times of the MPSO of the inner layer;
initializing a cable connection mode corresponding to each fan and a cable sectional area corresponding to each fan in the position information of each inner layer particle in the inner layer MPSO, and generating a corresponding connection matrix;
generating a corresponding cost information matrix based on the connection matrix according to the cable cost information and the electric load flow meter;
based on the cost information matrix, solving a cable connection structure with the optimal cable cost after the iteration of the maximum iteration times;
the electric current-carrying capacity meter comprises cable current-carrying capacities corresponding to different cable sectional areas; the connection matrix comprises the length corresponding to each cable connection branch; the cost information matrix comprises unit resistance and price of the cable type corresponding to each cable connection branch and the number of the borne fans.
8. A layout system for cables and substations of an offshore wind farm is characterized by comprising an initialization module, an extraction module, a partitioning module, a calculation module, a judgment module and an output module;
the initialization module is used for initializing the position information and the corresponding speed parameters of each outer-layer particle in the outer-layer MPSO; the optimization variable corresponding to each outer-layer particle comprises position information of the transformer substation;
the extraction module is used for extracting partition characteristic variables based on the position information of all fans in the offshore wind power plant and the position information of the transformer substation in the initialized position information of the outer-layer particles, wherein the partition characteristic variables comprise angles of the fans relative to the transformer substation;
the partition module is used for partitioning all the fans based on the partition characteristic variables and the cable current-carrying capacity to obtain partition results, and the partition results comprise a plurality of partitions;
the computing module comprises an inner layer processing unit and a computing unit; the inner layer processing unit is used for solving a cable connection structure with the optimal cable cost for the fan in each partition by using the inner layer MPSO respectively, and each cable connection structure with the optimal cable cost comprises the fan cable path with the optimal cost and the optimal cost; the computing unit is used for computing the sum of the optimal costs of all the partitions to obtain the optimal total cost;
the judging module is used for judging whether the outer-layer MPSO meets an end condition or not, and if so, the output module is called; if not, entering the next iteration process of the outer-layer MPSO to obtain updated position information of the transformer substation, and calling the extraction module;
the output module is used for selecting the cost optimal from all the optimal total costs as the final total cost, and outputting the position information of the substation corresponding to the final total cost, the cable path of the fan in each corresponding subarea and the final total cost.
9. The offshore wind farm cable and substation layout system of claim 8, wherein the zoning module comprises a determination unit and a zoning unit;
the determining unit is used for determining the grouping quantity of all the fans and/or the number of the fans in each group according to the limitation of the current-carrying capacity of the cable;
the partition unit is used for partitioning all the fans based on the partition characteristic variable, the grouping quantity of the fans and/or the number of the fans in each group.
10. The offshore wind farm cable and substation layout system of claim 8, further comprising a wind turbine information acquisition module and a cable information acquisition module;
the fan information acquisition module is used for acquiring the position information and the capacity information of all the fans;
the cable information acquisition module is used for acquiring the current-carrying capacity of the cable from a cable electrical parameter database;
and the partition module is used for partitioning all the fans based on the partition characteristic variables, the cable current-carrying capacity and the capacity information so as to obtain partition results.
11. The offshore wind farm cable and substation layout system of claim 8, wherein the location information comprises coordinate information;
the partition characteristic variable further comprises the relative position between the fans;
the partition result further includes the number of the fan included in each of the partitions.
12. The offshore wind farm cable and substation layout system according to claim 9, wherein the determination unit is configured to obtain the number of all the wind turbines grouped and/or the number of wind turbines in each group, and the number of all the wind turbines grouped and/or the number of wind turbines in each group is manually determined according to the limitation of the cable ampacity.
13. The offshore wind farm cable and substation layout system of claim 8, wherein the wind turbine cable path comprises a cable connection and a cable cross-sectional area corresponding to the wind turbine.
14. The offshore wind farm cable and substation layout system of claim 13, wherein the inner layer processing unit comprises:
the setting subunit is used for setting the maximum iteration times of the inner-layer MPSO;
the initialization subunit is used for initializing a cable connection mode corresponding to each fan and a cable cross section corresponding to each fan in the position information of each inner layer particle in the inner layer MPSO and generating a corresponding connection matrix;
the first processing subunit is used for generating a corresponding cost information matrix based on the connection matrix according to the cable cost information and the electric load flow meter;
the second processing subunit is used for solving a cable connection structure with the optimal cable cost after the iteration of the maximum iteration times based on the cost information matrix;
the electric current-carrying capacity meter comprises cable current-carrying capacities corresponding to different cable sectional areas; the connection matrix comprises the length corresponding to each cable connection branch; the cost information matrix comprises unit resistance and price of the cable type corresponding to each cable connection branch and the number of the borne fans.
15. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor, when executing the computer program, implements the method of laying out offshore wind farm cables and substations of any of claims 1 to 7.
16. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of laying out offshore wind farm cables and substations of any of claims 1 to 7.
CN202011295082.9A 2020-11-18 2020-11-18 Layout method, system, equipment and medium for cables and transformer substation of offshore wind farm Active CN112464545B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011295082.9A CN112464545B (en) 2020-11-18 2020-11-18 Layout method, system, equipment and medium for cables and transformer substation of offshore wind farm

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011295082.9A CN112464545B (en) 2020-11-18 2020-11-18 Layout method, system, equipment and medium for cables and transformer substation of offshore wind farm

Publications (2)

Publication Number Publication Date
CN112464545A CN112464545A (en) 2021-03-09
CN112464545B true CN112464545B (en) 2022-05-03

Family

ID=74837162

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011295082.9A Active CN112464545B (en) 2020-11-18 2020-11-18 Layout method, system, equipment and medium for cables and transformer substation of offshore wind farm

Country Status (1)

Country Link
CN (1) CN112464545B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113297750B (en) * 2021-06-07 2022-06-10 广东电网有限责任公司 Cable model selection method and system for offshore wind power plant
CN116562424B (en) * 2023-03-30 2024-03-22 上海勘测设计研究院有限公司 Position selection method and system for offshore substation, electronic equipment and storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104734150A (en) * 2015-03-30 2015-06-24 国家电网公司 Power distribution network optimizing method
WO2018010471A1 (en) * 2016-07-12 2018-01-18 中国能源建设集团广东省电力设计研究院有限公司 Method and system for optimizing obstacle avoidance path of offshore wind farm current collection system
CN111754035A (en) * 2020-06-17 2020-10-09 上海电气风电集团股份有限公司 Optimization method and optimization system for wind power plant layout and computer-readable storage medium

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104734150A (en) * 2015-03-30 2015-06-24 国家电网公司 Power distribution network optimizing method
WO2018010471A1 (en) * 2016-07-12 2018-01-18 中国能源建设集团广东省电力设计研究院有限公司 Method and system for optimizing obstacle avoidance path of offshore wind farm current collection system
CN111754035A (en) * 2020-06-17 2020-10-09 上海电气风电集团股份有限公司 Optimization method and optimization system for wind power plant layout and computer-readable storage medium

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
农村配电网开关优化配置研究;张建勋等;《电工电气》;20150115(第01期);全文 *
基于改进粒子群算法的变电站两阶段优化选址;严司玮等;《电力系统保护与控制》;20100301(第05期);全文 *
大型海上风电场集电系统网络拓扑优化设计;樊潇等;《电力系统及其自动化学报》;20160715(第07期);全文 *

Also Published As

Publication number Publication date
CN112464545A (en) 2021-03-09

Similar Documents

Publication Publication Date Title
CN106815657B (en) Power distribution network double-layer planning method considering time sequence and reliability
Ganguly et al. Distributed generation allocation on radial distribution networks under uncertainties of load and generation using genetic algorithm
Hou et al. Optimisation of offshore wind farm cable connection layout considering levelised production cost using dynamic minimum spanning tree algorithm
Hou et al. Optimisation for offshore wind farm cable connection layout using adaptive particle swarm optimisation minimum spanning tree method
CN106503839B (en) Hierarchical planning method for offshore wind farm annular current collection network
CN112464545B (en) Layout method, system, equipment and medium for cables and transformer substation of offshore wind farm
WO2021102623A1 (en) Planning method and system for cable path of wind power plant, medium, and electronic device
CN110188972B (en) 10kV power distribution network non-private line customer access method
Guo et al. Graph theory based topology design and energy routing control of the energy internet
CN111030179A (en) Optimization method and optimization system for wind power plant layout and computer-readable storage medium
Tian et al. Optimal feeder reconfiguration and distributed generation placement for reliability improvement
Pérez‐Rúa et al. Reliability‐based topology optimization for offshore wind farm collection system
CN111079982B (en) Planning method, system, medium and electronic equipment for cable path of wind power plant
CN109888817A (en) Position deployment and method for planning capacity are carried out to photovoltaic plant and data center
CN106991229B (en) Wind power plant equivalent modeling method for complex topology
CN112906283B (en) Cable layout method and electronic equipment
Ghosh et al. Optimal sizing and placement of DG units in radial distribution system using cuckoo search algorithm
CN114996535A (en) Data retrieval method and system for power equipment in power grid and electronic equipment
Xu et al. Fault recovery of distribution network containing distributed generation based on heuristic search algorithm and multi-population genetic algorithm
CN111553040B (en) Power grid topology analysis high-performance computing method and device based on GPU acceleration
CN110544954B (en) Multi-terminal direct current transmission system and transmission path selection method
Barbeiro et al. Sizing and siting static synchronous compensator devices in the Portuguese transmission system for improving system security
Behal Substation Innovations: The Heart and Brain of the Grid [Guest Editorial]
Göttlicher et al. A genetic algorithm for finding microgrid cable layouts
CN112990538B (en) Method, device and equipment for determining collecting line of mountain photovoltaic power station

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