CN111884566B - Photovoltaic panel cluster wiring method - Google Patents

Photovoltaic panel cluster wiring method Download PDF

Info

Publication number
CN111884566B
CN111884566B CN202010585255.4A CN202010585255A CN111884566B CN 111884566 B CN111884566 B CN 111884566B CN 202010585255 A CN202010585255 A CN 202010585255A CN 111884566 B CN111884566 B CN 111884566B
Authority
CN
China
Prior art keywords
inverter
photovoltaic panels
photovoltaic
unconnected
current
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
CN202010585255.4A
Other languages
Chinese (zh)
Other versions
CN111884566A (en
Inventor
陆莉莉
陈忱
凌宝慧
魏瑾
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.)
Dingbian County Poverty Alleviation Industry Development Co ltd
Original Assignee
Nanjing Vocational College Of Information Technology
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 Nanjing Vocational College Of Information Technology filed Critical Nanjing Vocational College Of Information Technology
Priority to CN202010585255.4A priority Critical patent/CN111884566B/en
Publication of CN111884566A publication Critical patent/CN111884566A/en
Application granted granted Critical
Publication of CN111884566B publication Critical patent/CN111884566B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S10/00PV power plants; Combinations of PV energy systems with other systems for the generation of electric power
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S40/00Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
    • H02S40/30Electrical components
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S40/00Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
    • H02S40/30Electrical components
    • H02S40/32Electrical components comprising DC/AC inverter means associated with the PV module itself, e.g. AC modules
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power 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
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/22The renewable source being solar energy
    • H02J2300/24The renewable source being solar energy of photovoltaic origin
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Photovoltaic Devices (AREA)

Abstract

The invention discloses a photovoltaic panel cluster wiring method, which comprises the following steps: distributing an optimal inverter group for the current photovoltaic cluster, and determining the number of the remaining connectable photovoltaic panels of each inverter in the optimal inverter group; carrying out region segmentation on the photovoltaic panel cluster according to the optimal inverter group; and carrying out photovoltaic panel cluster wiring according to the number of the residual connectable photovoltaic panels of the inverter and the distribution condition of the unconnected photovoltaic panels in the corresponding partition area. The invention can accurately and quickly select the corresponding inverter group according to the existing photovoltaic panel cluster layout and the photovoltaic panel model, and is beneficial to reducing the wiring time complexity, the construction difficulty and the material consumption.

Description

Photovoltaic panel cluster wiring method
Technical Field
The invention relates to a photovoltaic panel cluster wiring method, and belongs to the technical field of photovoltaic power generation.
Background
Traditional photovoltaic matrix's line planning needs the engineer manual drawing, and this kind of mode is consuming time and relies on engineer's experience, does not embody huge disadvantage in the erection of small-scale photovoltaic matrix. With the vigorous development of the photovoltaic industry, the erection of photovoltaic panels is gradually developed toward clustering, one photovoltaic panel cluster may need a plurality of inverters, namely a plurality of circuits need to be arranged, and one photovoltaic panel can only be communicated with one circuit.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and provides a photovoltaic panel cluster wiring method which can accurately and quickly select a corresponding inverter group according to the existing photovoltaic panel cluster layout and the photovoltaic panel model, and is beneficial to reducing the wiring time complexity, the construction difficulty and the material consumption.
In order to achieve the purpose, the invention is realized by adopting the following technical scheme:
a photovoltaic panel cluster wiring method, the method comprising the steps of:
distributing an optimal inverter group for the current photovoltaic cluster, and determining the number of the remaining connectable photovoltaic panels of each inverter in the optimal inverter group;
carrying out region segmentation on the photovoltaic panel cluster according to the optimal inverter group;
carrying out photovoltaic panel cluster wiring according to the number of the residual connectable photovoltaic panels of the inverter and the distribution condition of unconnected photovoltaic panels in the corresponding partition area;
the method for determining the optimal inverter group comprises the following steps:
inputting the current photovoltaic panel distribution map and the photovoltaic panel model into a pre-constructed inverter group distribution model,
the inverter group distribution model determines an optimal inverter group by combining the electrical parameters of different inverters according to the input information; wherein the electrical parameters include: the output power, the output current and the output voltage of the inverter;
the method for carrying out photovoltaic panel cluster wiring according to the number of the remaining connectable photovoltaic panels of the inverter and the distribution condition of the unconnected photovoltaic panels in the corresponding partition area comprises the following steps:
step A: searching a first row with unconnected photovoltaic panels;
and B: comparing the number of unconnected photovoltaic panels in the row with the number of remaining connectable photovoltaic panels of the current inverter:
if the number of the unconnected photovoltaic panels in the row is not less than the number of the residual connectable photovoltaic panels of the current inverter, sequentially connecting the unconnected photovoltaic panels in the row to the current inverter until the number of the residual connectable photovoltaic panels of the current inverter is 0, and selecting a next new inverter in the optimal inverter group;
otherwise, all the unconnected photovoltaic panels in the row are connected with the current inverter, the downward folding position of the line is selected according to the distribution position of the unconnected photovoltaic panels in the next row, and the step C is carried out;
and C: comparing the number of unconnected photovoltaic panels in the next row with the number of remaining connectable photovoltaic panels of the current inverter:
if the number of the unconnected photovoltaic panels in the next row is not less than the number of the residual connectable photovoltaic panels of the current inverter, sequentially connecting the unconnected photovoltaic panels in the next row to the current inverter until the number of the residual connectable photovoltaic panels of the current inverter is 0, and selecting a new inverter in the optimal inverter group;
otherwise, all the unconnected photovoltaic panels in the next row are connected with the current inverter, and the step A is skipped;
the photovoltaic panel cluster wiring is performed for the selected new inverter by adopting the following method:
and expanding the columns which are not communicated in the current row and the columns which are not communicated in the next row into a two-dimensional array, and if the number of the residual connectable photovoltaic panels of the new inverter is more than or equal to the number of the unconnected photovoltaic panels in the two-dimensional array, drawing the shortest path and connecting the shortest path by using a local shortest path calculation rule so as to communicate all the unconnected photovoltaic panels in the two-dimensional array.
Further, the method further comprises: and using Redis cache for the shortest path.
Further, the method further comprises: when the situation that the line cannot be communicated occurs, the inverter is reselected to carry out photovoltaic cluster wiring; and if the inverter is reselected and the line can not be passed through, carrying out region segmentation on the photovoltaic panel cluster again.
Compared with the prior art, the invention has the following beneficial effects:
1. the algorithm time complexity is low, and the high wiring efficiency can be still kept for a large-scale photovoltaic cluster wiring algorithm;
2. the photovoltaic panel cluster wiring is carried out according to the number of the remaining connectable photovoltaic panels of the inverter and the distribution condition of the unconnected photovoltaic panels in the corresponding partition area, the wiring method can be dynamically adjusted along with the increase of experimental data, and compared with the prior art, the comprehensive optimization can be achieved in time complexity, construction difficulty and material consumption;
3. a large number of calculated local optimal plans are stored in a Redis cache in the algorithm, so that the running time of the photovoltaic cluster wiring algorithm in a large scale is greatly reduced.
Drawings
Fig. 1 is a flowchart of a photovoltaic panel cluster wiring method according to an embodiment of the present invention;
FIG. 2 is a path diagram of an embodiment of the invention with unconnected photovoltaic panels on both the right and underside;
FIG. 3 is a two-dimensional array graph constructed based on FIG. 2;
FIG. 4 is a diagram of a locally optimal routing path based on the planning of FIG. 3;
fig. 5 is a dynamic planning path diagram according to an embodiment of the present invention;
fig. 6 is a schematic diagram illustrating that a circuit cannot be connected according to an embodiment of the present invention.
Detailed Description
As shown in fig. 1, a photovoltaic panel cluster wiring method provided by an embodiment of the present invention includes the following steps:
the method comprises the following steps: distributing an optimal inverter group for the current photovoltaic cluster, and determining the number of the remaining connectable photovoltaic panels of each inverter in the optimal inverter group;
the method for determining the optimal inverter group comprises the following steps:
inputting the current photovoltaic panel distribution map and the photovoltaic panel model into a pre-constructed inverter group distribution model;
the inverter group distribution model determines an optimal inverter group by combining the electrical parameters of different inverters according to the input information; wherein the electrical parameters include: output power, output current and output voltage of the inverter.
It should be noted that: the inverter group distribution model is a mathematical model used for calculating an inverter group which can meet the load according to the number of photovoltaic panels and the voltage and power corresponding to the photovoltaic panel type number, and can be matched and determined in a limited inverter set according to a physical formula.
Step two: carrying out region segmentation on the photovoltaic panel cluster according to the optimal inverter group;
in the process of designing the photovoltaic panel cluster array, firstly, the arrangement of the photovoltaic panels in the photovoltaic cluster array, namely region division, is planned according to the terrain, when an obstacle or a region where other equipment needs to be installed is scanned, the region is marked as a vacancy in the photovoltaic cluster array, otherwise, a proper inverter is selected through a feedback linearization control strategy and a cascade regulator according to the type and the number of the photovoltaic panels, and an installation position region is determined according to the type of the inverter, so that the region is completely divided.
Step three: and carrying out photovoltaic panel cluster wiring according to the number of the residual connectable photovoltaic panels of the inverter and the distribution condition of the unconnected photovoltaic panels in the corresponding partition area. The method specifically comprises the following steps:
step A: searching a first row with unconnected photovoltaic panels;
and B: comparing the number of unconnected photovoltaic panels in the row with the number of remaining connectable photovoltaic panels of the current inverter:
if the number of the unconnected photovoltaic panels in the row is not less than the number of the residual connectable photovoltaic panels of the current inverter, sequentially connecting the unconnected photovoltaic panels in the row to the current inverter until the number of the residual connectable photovoltaic panels of the current inverter is 0, and selecting a next new inverter in the optimal inverter group;
otherwise, all the unconnected photovoltaic panels in the row are connected with the current inverter, the downward folding position of the line is selected according to the distribution position of the unconnected photovoltaic panels in the next row, and the step C is carried out;
and C: comparing the number of unconnected photovoltaic panels in the next row with the number of remaining connectable photovoltaic panels of the current inverter:
if the number of the unconnected photovoltaic panels in the next row is not less than the number of the residual connectable photovoltaic panels of the current inverter, sequentially connecting the unconnected photovoltaic panels in the next row to the current inverter until the number of the residual connectable photovoltaic panels of the current inverter is 0, and selecting a new inverter in the optimal inverter group;
and otherwise, all the unconnected photovoltaic panels in the next row are connected with the current inverter, and the step A is skipped.
The photovoltaic panel cluster wiring is carried out on the selected new inverter by adopting the following method:
and expanding the columns which are not communicated in the current row and the columns which are not communicated in the next row into a two-dimensional array, and if the number of the residual connectable photovoltaic panels of the new inverter is more than or equal to the number of the unconnected photovoltaic panels in the two-dimensional array, drawing the shortest path and connecting the shortest path by using a local shortest path calculation rule so as to communicate all the unconnected photovoltaic panels in the two-dimensional array.
In the embodiment of the invention, Redis cache is used for the shortest path, so that the running time of a photovoltaic cluster wiring algorithm in a large scale can be greatly reduced.
Particularly, when the line cannot be connected, the inverter is reselected to carry out photovoltaic cluster wiring; and if the inverter is reselected and the line can not be passed through, carrying out region segmentation on the photovoltaic panel cluster again.
The invention is further described below with reference to figures 2 to 6. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
A photovoltaic panel cluster wiring method comprises the following steps:
step 1) inputting a photovoltaic panel distribution map and photovoltaic panel models into an inverter group distribution model, and calculating an optimal inverter group and the number of photovoltaic panels which can be connected on each inverter according to the power, current and voltage of different inverters;
step 2) partitioning the photovoltaic panel cluster according to the inverter group calculated in the step 1) and storing the photovoltaic panel cluster, and storing different partitioning strategies at the same time so as to facilitate backtracking;
step 3) connecting a first row which is not empty and has unconnected photovoltaic panels, if the number of the photovoltaic panels which can be connected by the inverter is less than that of the unconnected photovoltaic panels on the row, connecting the photovoltaic panels from the inlet to the right until the number of the photovoltaic panels which can be connected by the inverter is 0, and selecting a new inverter, as shown in fig. 2, and jumping to the step 6); otherwise, all the photovoltaic panels in the row are fully connected, then the downward folding position of the circuit is selected according to the distribution of the photovoltaic panels in the next row, and the step 4) is skipped;
step 4) connecting the photovoltaic panels from the entrance position to the left until the number of the photovoltaic panels which can be connected by the inverter is 0, selecting a new inverter as shown in fig. 3, and then jumping to the step 5); otherwise, all the photovoltaic panels on the row are connected fully, and then the step 3) is skipped;
step 5) expanding the front M rows which are not communicated with the next row into a 2 xM two-dimensional array, if the number of the photovoltaic panels which can be connected by the inverter at the moment is larger than that of the photovoltaic panels in the 2 xM two-dimensional array, drawing the shortest route which is communicated with all the photovoltaic panels in the array by using a dynamic programming shortest route calculation rule, as shown in the figure 4, and then jumping to the step 3); if the number of the photovoltaic panels which can be connected by the inverter is smaller than that of the photovoltaic panels in the 2 xM two-dimensional array, the photovoltaic panels in the row are preferably connected, the photovoltaic panels in the next row are connected until the number of the photovoltaic panels which can be connected by the inverter is 0, and the step 6) is skipped. Where M is a scalar indicating the number of unconnected columns of photovoltaic panels in the row, as shown in fig. 4 where M is 8.
Step 6) selecting a new inverter to be accessed, expanding the front k rows (full, then expanding the front T rows (the last row of unconnected rows) and the next row of unconnected rows of the row into a 3 xT two-dimensional array, if the number of the remaining connectable photovoltaic panels of the new inverter is more than or equal to the number of the photovoltaic panels in the 3 xT two-dimensional array, selecting the position of downward folding of the line according to the distribution of the next row of photovoltaic panels, drawing the shortest route which connects all the photovoltaic panels in the array by using a dynamic programming shortest route calculation rule, as shown in fig. 5, and then jumping to the step 4; if the number of the photovoltaic panels which can be connected by the inverter is less than the number of the photovoltaic panels in the two-dimensional array of 3 xT, the photovoltaic panels in the previous row are preferably connected, the photovoltaic panels in the row are connected again until the number of the photovoltaic panels which can be connected by the inverter is 0, and the step 6) is skipped. Where k and T are both scalar quantities, k indicates the number of columns that have been connected in the previous row, and T indicates the number of columns of the photovoltaic panel that have not been connected in the previous row, as shown in fig. 5 at T-2.
And 7) when some lines cannot be communicated, as shown in FIG. 6, the inverter needs to be selected back and forth, and if the inverter is also selected to be invalid, another segmentation strategy is selected.
The photovoltaic panel cluster wiring method provided by the embodiment of the invention has low algorithm time complexity, and can still keep higher wiring efficiency for a large-scale photovoltaic cluster wiring algorithm; the photovoltaic panel cluster wiring is carried out according to the number of the residual connectable photovoltaic panels of the inverter and the distribution condition of the unconnected photovoltaic panels in the corresponding partition area, the wiring method can be dynamically adjusted along with the increase of experimental data, and compared with the prior art, the comprehensive optimization can be achieved in time complexity, construction difficulty and material consumption.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.

Claims (3)

1. A photovoltaic panel cluster wiring method is characterized by comprising the following steps:
distributing an optimal inverter group for the current photovoltaic cluster, and determining the number of the remaining connectable photovoltaic panels of each inverter in the optimal inverter group;
carrying out region segmentation on the photovoltaic panel cluster according to the optimal inverter group;
carrying out photovoltaic panel cluster wiring according to the number of the residual connectable photovoltaic panels of the inverter and the distribution condition of unconnected photovoltaic panels in the corresponding partition area;
the method for determining the optimal inverter group comprises the following steps:
inputting the current photovoltaic panel distribution map and the photovoltaic panel model into a pre-constructed inverter group distribution model,
the inverter group distribution model determines an optimal inverter group by combining the electrical parameters of different inverters according to the input information; wherein the electrical parameters include: the output power, the output current and the output voltage of the inverter;
the method for carrying out photovoltaic panel cluster wiring according to the number of the remaining connectable photovoltaic panels of the inverter and the distribution condition of the unconnected photovoltaic panels in the corresponding partition area comprises the following steps:
step A: searching a first row with unconnected photovoltaic panels;
and B: comparing the number of unconnected photovoltaic panels in the row with the number of remaining connectable photovoltaic panels of the current inverter:
if the number of the unconnected photovoltaic panels in the row is not less than the number of the residual connectable photovoltaic panels of the current inverter, sequentially connecting the unconnected photovoltaic panels in the row to the current inverter until the number of the residual connectable photovoltaic panels of the current inverter is 0, and selecting a next new inverter in the optimal inverter group;
otherwise, all the unconnected photovoltaic panels in the row are connected with the current inverter, the downward folding position of the line is selected according to the distribution position of the unconnected photovoltaic panels in the next row, and the step C is carried out;
and C: comparing the number of unconnected photovoltaic panels in the next row with the number of remaining connectable photovoltaic panels of the current inverter:
if the number of the unconnected photovoltaic panels in the next row is not less than the number of the residual connectable photovoltaic panels of the current inverter, sequentially connecting the unconnected photovoltaic panels in the next row to the current inverter until the number of the residual connectable photovoltaic panels of the current inverter is 0, and selecting a new inverter in the optimal inverter group;
otherwise, all the unconnected photovoltaic panels in the next row are connected with the current inverter, and the step A is skipped;
the photovoltaic panel cluster wiring is performed for the selected new inverter by adopting the following method:
and expanding the columns which are not communicated in the current row and the columns which are not communicated in the next row into a two-dimensional array, and if the number of the residual connectable photovoltaic panels of the new inverter is more than or equal to the number of the unconnected photovoltaic panels in the two-dimensional array, drawing the shortest path and connecting the shortest path by using a local shortest path calculation rule so as to communicate all the unconnected photovoltaic panels in the two-dimensional array.
2. The photovoltaic panel cluster wiring method of claim 1, further comprising: and using Redis cache for the shortest path.
3. The photovoltaic panel cluster wiring method of claim 1, further comprising:
when the situation that the line cannot be communicated occurs, the inverter is reselected to carry out photovoltaic cluster wiring; and if the inverter is reselected and the line can not be passed through, carrying out region segmentation on the photovoltaic panel cluster again.
CN202010585255.4A 2020-06-24 2020-06-24 Photovoltaic panel cluster wiring method Active CN111884566B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010585255.4A CN111884566B (en) 2020-06-24 2020-06-24 Photovoltaic panel cluster wiring method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010585255.4A CN111884566B (en) 2020-06-24 2020-06-24 Photovoltaic panel cluster wiring method

Publications (2)

Publication Number Publication Date
CN111884566A CN111884566A (en) 2020-11-03
CN111884566B true CN111884566B (en) 2021-08-20

Family

ID=73157871

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010585255.4A Active CN111884566B (en) 2020-06-24 2020-06-24 Photovoltaic panel cluster wiring method

Country Status (1)

Country Link
CN (1) CN111884566B (en)

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106446399B (en) * 2016-09-20 2019-06-28 协鑫能源工程有限公司 Cable layout method and terminal device for Cable layout
CN107133425B (en) * 2017-06-05 2021-03-23 北京道亨时代科技有限公司 Method for automatically arranging photovoltaic square matrix in complex terrain
US20190057463A1 (en) * 2017-08-21 2019-02-21 Latifullah Khan Systems and methods for providing solar energy generation infrastructure to customers as a service
CN110826800B (en) * 2019-11-05 2023-02-07 阳光新能源开发股份有限公司 Photovoltaic power station layout method and device

Also Published As

Publication number Publication date
CN111884566A (en) 2020-11-03

Similar Documents

Publication Publication Date Title
Mendoza et al. NSGA and SPEA applied to multiobjective design of power distribution systems
US10289765B2 (en) Fast model generating and solving method for security-constrained power system operation simulation
CN110955970B (en) Photovoltaic power station layout method and device
CN104808627A (en) Workshop layout method of discrete manufacturing system
CN110852627A (en) Decision method and device for post-disaster first-aid repair of power distribution network
CN114896937A (en) Integrated circuit layout optimization method based on reinforcement learning
CN107256441B (en) Power distribution network planning construction scheme design method based on non-dominated sorting genetic algorithm
Florez et al. Multi-objective transmission expansion planning considering multiple generation scenarios
US20150134120A1 (en) Online heurisitc algorithm for combined cooling heating and power plant optimization
CN110929403B (en) Micro-grid topology planning method based on loop
CN114564905A (en) Circuit schematic diagram layout and wiring method based on iterative tabu search algorithm
CN102063536A (en) Collaborative design method for power/ground network and layout planning based on pattern matching
CN111884566B (en) Photovoltaic panel cluster wiring method
ElMekkawy et al. A new memetic algorithm for optimizing the partitioning problem of tandem AGV systems
CN109888817A (en) Position deployment and method for planning capacity are carried out to photovoltaic plant and data center
CN105406517A (en) Finite time average consistency algorithm-based economic dispatching method for power system
CN112989749A (en) Pin access method and device in integrated circuit layout wiring
Keshavarzmanesh et al. A hybrid approach for dynamic routing planning in an automated assembly shop
JP7496286B2 (en) A system that supports the creation of power system plans that change the configuration of a power system
CN114280420A (en) Rapid fault positioning method and system based on active power distribution network fault area division
Tang et al. A dual-robot cooperative arc welding path planning algorithm based on multi-objective cross-entropy optimization
Mao et al. Pavement PV array reconfiguration strategy based on traveling salesman problem
Zhang et al. Layout design of a mixed-flow production line based on processing energy consumption and buffer configuration
Fletcher et al. Variable length encoded genetic algorithm for optimal electrical distribution network routing
CN112035988B (en) Microgrid loop planning method based on multiple DGs

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
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20221109

Address after: 719000 Second floor, Building 11, Xinle Community, East Ring Road, Dingbian Town, Dingbian County, Yulin, Shaanxi Province

Patentee after: Dingbian County Poverty Alleviation Industry Development Co.,Ltd.

Address before: No.99 Wenlan Road, Xianlin University Town, Qixia District, Nanjing City, Jiangsu Province

Patentee before: Nanjing Vocational College of Information Technology