CN106208040B - The optimization method in power supply network path - Google Patents
The optimization method in power supply network path Download PDFInfo
- Publication number
- CN106208040B CN106208040B CN201610564311.XA CN201610564311A CN106208040B CN 106208040 B CN106208040 B CN 106208040B CN 201610564311 A CN201610564311 A CN 201610564311A CN 106208040 B CN106208040 B CN 106208040B
- Authority
- CN
- China
- Prior art keywords
- path
- user
- object function
- distribution
- cost
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000005457 optimization Methods 0.000 title claims abstract description 7
- 238000009826 distribution Methods 0.000 claims abstract description 48
- 230000005611 electricity Effects 0.000 claims abstract description 7
- 238000004519 manufacturing process Methods 0.000 claims description 5
- 238000004088 simulation Methods 0.000 claims description 5
- 238000012423 maintenance Methods 0.000 claims 1
- 238000007689 inspection Methods 0.000 abstract description 3
- 238000010606 normalization Methods 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 238000010276 construction Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000018109 developmental process Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000011218 segmentation Effects 0.000 description 2
- 240000002853 Nelumbo nucifera Species 0.000 description 1
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 1
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000000739 chaotic effect Effects 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- 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
- 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]
Abstract
The present invention provides a kind of optimization method in power supply network path, and step includes：1) address coordinate of the application user of collection, rank, application capacity, history electricity consumption basic data are sent to data center；2) the multiple distribution facilities to match with application user are drawn；3) address coordinate of the multiple distribution facility is obtained；4) object function of the mathematical modeling of critical path method (CPM) is built；5) application simulation software solves, and length chooses path in the top from small to large by path；6) object function of the mathematical modeling of minimum cost method is built；7) path of minimum cost is chosen according to the object function of step 6.The present invention effectively improves the normalization and reasonability of power supply plan establishment, improves operating efficiency and the accuracy of distribution, realizes effective guidance to site inspection personnel, reduce the site inspection time, improve the satisfaction of user.
Description
Technical field
The present invention relates to power network power supply field, more particularly to a kind of optimization method in power supply network path.
Background technology
As the development of power grid construction and administrative skill and computer technology and the communication technology are increasingly wide in power domain
General application, at the same electricity transaction is also being faced with this market-oriented deep change, how to improve the quality of power supply, power supply can
It is the task of top priority of power system by property, efficiency of service.Especially as the end power distribution network management of power system, even more ensure
Electric power safety, reliable, efficient pith.Distribution management system is exactly to utilize current advanced computer monitoring, network
Communication, data processing technique are monitored to the operating condition of distribution, controlled, and its equipment, drawing and routine work are realized
Offline, online management, the automatic segmentation of distribution reliability of operation and failure is improved, failure is handled soon.With electric power to it is economical,
Life, service etc. the significance level of various aspects it is growing, the safe and reliable operation of power distribution network is particularly important.Negative
While lotus largely increases, power distribution network scale constantly expands, and grid structure, the mode of connection and the method for operation are increasingly sophisticated.At present
The formulation of power supply plan is reconnoitred by manual site, and workload is big, and efficiency is low, poor user experience, and easily error.And artificial volume
Fixture has the characteristics of subjectivity, randomness and unordered access, it is easy to damages grid structure, chaotic power supply area etc. and asks
Topic, and the time that artificial establishment needs is more, so as to cause power-on time elongated, reduces power supplying efficiency.
The content of the invention
In view of the above-mentioned problems, the present invention provides a kind of optimization method in power supply network path, step includes：
1) by data acquisition module, by the address coordinate of the application user of collection, rank, application capacity, history electricity consumption
Basic data is sent to data center；
2) extracted by the data being connected with sales service system, marketing generalized information system, scheduling system and production management system
Module, draw the multiple distribution facilities to match with application user；
3) address coordinate of the multiple distribution facility is obtained；
4) object function of the mathematical modeling of critical path method (CPM) is built, its constraints can for selected distribution setting
Open capacity is more than the application capacity of the application user and user's quality of voltage meets quality of voltage requirement；
5) application simulation software solves, and length chooses path in the top from small to large by path；
6) object function of the mathematical modeling of minimum cost method is built；
7) according to the object function of step 6, using the value at cost in the path selected by simulation software calculation procedure 5, choose
The path of minimum cost.
Preferred scheme is：The mathematical modeling object function of the shortest path is：
Wherein, (xi, yi), i=1,2. ... n-1 be distribution facility point coordinates, (x0, y0) it is the address for applying for user
Coordinate；N is the number that the distribution to match with application user is set.
Preferred scheme is：The mathematical modeling object function of the minimum cost method is：
Wherein, (xi, yi), i=1,2. ... n-1 are the point coordinates of distribution facility；(x0, y0) it is the address for applying for user
Coordinate；N is the number value that the distribution to match with application user is set；Q is circuit specific investment cost cost；P ties up for circuit unit
Protect cost；MiFor the fixed cost of distribution facility.
The present invention, using simulation software, draws optimal power supply plan, effectively by shortest path and minimum cost model
The normalization and reasonability of power supply plan establishment are improved, operating efficiency and the accuracy of distribution is improved, realizes to scene
Effective guidance of explorer, reduces the site inspection time, improves the satisfaction of user.
Embodiment
With reference to embodiment, the present invention is described in further detail, to make those skilled in the art's reference
Specification word can be implemented according to this.
It should be appreciated that such as " having ", "comprising" and " comprising " term used herein do not allot one or more
The presence or addition of individual other elements or its combination.
Big data analysis refers to analyze huge data.Big data may be summarized to be 4 V, and data volume is big
(Volume), speed fast (Velocity), type more (Variety), authenticity (Veracity), some scholars also include data
It is worth (Value).Vocabulary of the big data as IT industries most burning hot at present, thing followed data warehouse, data safety, number
The utilization that the commercial value of big data is surrounded according to analysis, data mining etc. is increasingly becoming profit Jiao that industry personage falls over each other to pursue
Point.With the arriving in big data epoch, big data analysis is also arisen at the historic moment.
As the development of power grid construction and administrative skill and computer technology and the communication technology are increasingly wide in power domain
General application, at the same electricity transaction is also being faced with this market-oriented deep change, how to improve the quality of power supply, power supply can
It is the task of top priority of power system by property, efficiency of service.Especially as the end power distribution network management of power system, even more ensure
Electric power safety, reliable, efficient pith.Distribution management system is exactly to utilize current advanced computer monitoring, network
Communication, data processing technique are monitored to the operating condition of distribution, controlled, and its equipment, drawing and routine work are realized
Offline, online management, the automatic segmentation of distribution reliability of operation and failure is improved, failure is handled soon.The present invention using
The Witness Softwares of System Simulation of Lanner groups of Britain exploitation, it is the simulation software of main flow in the world.Either in manufacturing industry
Or service trade, the simulation model of the emulation platform Establishing process can be used.Witness can carry out the dynamic of system flow
Modeling emulates with operation, and software itself provides the model element of substantial amounts of description system, and user can be convenient to use these
Model sets up the logical description of the operation of system.During whole modeling and simulation, user can be according to the imitative of different phase
True result, momentarily changes system model.Witness can also carry out the emulation dynamic demonstration of flow, and it, which is provided, intuitively flows
Cheng Yunhang dynamic animated show, makes user clearly and intuitively understand the running of system.
The present invention provides a kind of optimization method in power supply network path, and step includes：
1) by data acquisition module, by the address coordinate of the application user of collection, rank, application capacity, history electricity consumption
Basic data is sent to data center；
2) mould is extracted by the data being connected with marketing system, marketing generalized information system, scheduling system and production management system
Block, draw the multiple distribution facilities to match with application user；
3) address coordinate of the multiple distribution facility is obtained；
4) object function of the mathematical modeling of critical path method (CPM) is built, its constraints can for selected distribution setting
Open capacity is more than the application capacity of the application user and user's quality of voltage meets quality of voltage requirement；
5) application simulation software solves, and length chooses path in the top from small to large by path；
6) object function of the mathematical modeling of minimum cost method is built；
7) according to the object function of step 6, using the value at cost in the path selected by simulation software calculation procedure 5, choose
The path of minimum cost.
The mathematical modeling object function of the shortest path is：
Wherein, (xi, yi), i=1,2. ... n-1 be distribution facility point coordinates, (x0, y0) it is the address for applying for user
Coordinate；N is the number that the distribution to match with application user is set.
The object function of the mathematical modeling of the minimum cost method is：
Wherein, (xi, yi), i=1,2. ... n-1 are the point coordinates of distribution facility；(x0, y0) it is the address for applying for user
Coordinate；N is the number value that the distribution to match with application user is set；Q is circuit specific investment cost cost；P ties up for circuit unit
Protect cost；MiFor the fixed cost of distribution facility.
Embodiment
1) by data acquisition module, by the address coordinate of the application user of collection, rank, application capacity, history electricity consumption
Basic data is sent to data center；
2) mould is extracted by the data being connected with marketing system, marketing generalized information system, scheduling system and production management system
Block, draw 5 distribution facilities to match with application user；
3) address coordinate of 5 distribution facilities is obtained, it is respectively (x1, y1)、(x2, y2)、(x3, y3)、(x4, y4)、
(x5, y5), coordinate data is as follows：
| Distribution facility | Coordinate (xi, yi)(㎞) |
| T1 | (1,3.8) |
| T2 | (6,9.2) |
| T3 | (9.7,13.1) |
| T4 | (14,9.8) |
| T5 | (19,4.5) |
Table 1 is the address coordinate of 5 distribution facilities
4) object function of the mathematical modeling of critical path method (CPM) is built, its constraints can for selected distribution setting
Open capacity is more than the application capacity of the application user and user's quality of voltage meets quality of voltage requirement, the shortest path
The object function of mathematical modeling be：
Wherein, (xi, yi), i=1,2. ... n-1 be distribution facility point coordinates, (x0, y0) it is the address for applying for user
Coordinate；N is the number that the distribution to match with application user is set；
5) coordinate data is input in witness emulation platforms, is solved using witness simulation softwares, obtain outbound path
The three path L of length from small to large1、L2And L3And L1(T1, T3, T5) ＜ L2(T3, T4, T5) ＜ L3(T2, T4, T5)；
6) object function of the mathematical modeling of minimum cost method, the target letter of the mathematical modeling of the minimum cost method are built
Number is：
Wherein, (xi, yi), i=1,2. ... n-1 are the point coordinates of distribution facility；(x0, y0) it is the address for applying for user
Coordinate；N is the number value that the distribution to match with application user is set；Q is circuit specific investment cost cost；P ties up for circuit unit
Protect cost；MiFor the fixed cost of distribution facility, L in the present embodiment1、L2And L3Coordinate be：
Table 2 is path L1、L2And L3Coordinate
7) according to minimum cost object function, path L is calculated using simulation software1、L2And L3Value at cost, the cost
Value is L by order from small to large2＜ L1＜ L3, the path for choosing minimum cost is L2。
Although embodiment of the present invention is disclosed as above, it is not restricted in specification and embodiment listed
With it can be applied to various suitable the field of the invention completely, can be easily for those skilled in the art
Other modification is realized, therefore under the universal limited without departing substantially from claim and equivalency range, it is of the invention and unlimited
In specific details.
Claims (1)
1. the optimization method in power supply network path, it is characterised in that step includes：
1) by data acquisition module, by the address coordinate of the application user of collection, rank, application capacity, history electricity consumption basis
Data are sent to data center；
2) mould is extracted by the data being connected with sales service system, marketing generalized information system, scheduling system and production management system
Block, draw the multiple distribution facilities to match with application user；
3) address coordinate of the multiple distribution facility is obtained；
4) object function of the mathematical modeling of critical path method (CPM) is built, its constraints opens for what selected distribution was set
Capacity is more than the application capacity of the application user and user's quality of voltage meets quality of voltage requirement；
5) solved using Witness Softwares of System Simulation, length chooses path in the top from small to large by path；
6) object function of the mathematical modeling of minimum cost method is built；
7) according to the object function of step 6, using the value at cost in the path selected by simulation software calculation procedure 5, choose minimum
The path of cost；
The mathematical modeling object function of the critical path method (CPM) is：
Wherein, (xi, yi), i=1,2. ... n-1 be distribution facility point coordinates, (x0, y0) it is the address coordinate for applying for user；n
The number set for the distribution to match with application user；
The mathematical modeling object function of the minimum cost method is：
Wherein, (xi, yi), i=1,2. ... n-1 are the point coordinates of distribution facility；(x0, y0) it is the address coordinate for applying for user；n
The number value set for the distribution to match with application user；Q is circuit specific investment cost cost；P is circuit organizational maintenance cost；
MiFor the fixed cost of distribution facility.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610564311.XA CN106208040B (en) | 2016-07-18 | 2016-07-18 | The optimization method in power supply network path |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610564311.XA CN106208040B (en) | 2016-07-18 | 2016-07-18 | The optimization method in power supply network path |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106208040A CN106208040A (en) | 2016-12-07 |
| CN106208040B true CN106208040B (en) | 2018-03-02 |
Family
ID=57492961
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610564311.XA Active CN106208040B (en) | 2016-07-18 | 2016-07-18 | The optimization method in power supply network path |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106208040B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108667135B (en) * | 2017-03-31 | 2022-12-30 | 腾讯科技（深圳）有限公司 | Method and device for realizing power dispatching |
| CN107301482A (en) * | 2017-08-10 | 2017-10-27 | 嘉兴恒创电力设计研究院有限公司 | A kind of power distribution network medium-voltage line paths planning method based on city integrated piping lane |
| CN107909226B (en) * | 2017-12-20 | 2021-11-02 | 国家电网公司 | Business expansion installation power supply scheme design method and device |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101114967A (en) * | 2007-08-31 | 2008-01-30 | 安徽大学 | Method for constructing complex network quotient space model |
| US20130096976A1 (en) * | 2011-10-18 | 2013-04-18 | International Business Machines Corporation | Cost-effective and reliable utilities distribution network |
| CN105391052A (en) * | 2015-10-30 | 2016-03-09 | 国家电网公司 | Power grid smoothness assessment method |
-
2016
- 2016-07-18 CN CN201610564311.XA patent/CN106208040B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN106208040A (en) | 2016-12-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101973031B (en) | Cloud robot system and implementation method | |
| CN106208040B (en) | The optimization method in power supply network path | |
| CN102663232B (en) | A kind of multidimensional simulation analysis system of user oriented energy efficiency evaluation and method thereof | |
| CN104899404B (en) | A kind of emulation cloud platform and implementation | |
| CN104317283A (en) | Hardware-in-the-loop test platform and test method for wind power plant control system | |
| CN104753985A (en) | Session list display method and device | |
| CN107330056A (en) | Wind power plant SCADA system and its operation method based on big data cloud computing platform | |
| CN102663182A (en) | Intelligent virtual maintenance training system for large equipment | |
| CN102609808A (en) | Method and device for performing energy consumption management on data center | |
| CN104463465A (en) | Real-time monitoring cluster processing method based on distributed models | |
| CN106200448B (en) | A kind of long-range mapped system of industry interface implementation | |
| Špicar et al. | Use of Monte Carlo modified Markov Chains in capacity planning | |
| CN206558029U (en) | A kind of dispatcher training system system | |
| CN110011971A (en) | A kind of manual configuration method of network security policy | |
| CN204331449U (en) | Based on the SCADA intelligent monitoring dispatching system of GDI | |
| CN205936985U (en) | Novel fan monitoring device based on virtual 3D | |
| CN104252667A (en) | Material production scheduling simulation device | |
| CN103473600A (en) | Intelligent robot system for power transformation operation and maintenance integrated simulation | |
| Yan et al. | Genetic algorithm based optimization for energy-aware hybrid flow shop scheduling | |
| CN105159741A (en) | Water conservancy model simulating computation system and computation method based on cloud serving | |
| CN111598522A (en) | Electrified railway contact net computing system and method based on cloud platform | |
| Jinqi et al. | The supply chain network on cloud manufacturing environment based on coin model with q-learning algorithm | |
| Trilaksono et al. | Supply Preparation Of Line Production Through Capacity Using Simulation Model In Garment Industry | |
| Dubey | Internet of Things: Mathematical Relevance | |
| Zhong et al. | Equivalent ramp rate function for thermal power systems |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |