CN110309943A - Optimal service path planning method for power transmission network - Google Patents

Optimal service path planning method for power transmission network Download PDF

Info

Publication number
CN110309943A
CN110309943A CN201910297629.XA CN201910297629A CN110309943A CN 110309943 A CN110309943 A CN 110309943A CN 201910297629 A CN201910297629 A CN 201910297629A CN 110309943 A CN110309943 A CN 110309943A
Authority
CN
China
Prior art keywords
weight
transmission network
service path
optical cable
routing
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.)
Pending
Application number
CN201910297629.XA
Other languages
Chinese (zh)
Inventor
徐彬泰
周洁
孟祥鹿
马超
江颖洁
王昊
孙勇健
曹立斌
田保鹏
刘晓晨
张志明
张�杰
杨璐
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.)
State Grid Corp of China SGCC
Information and Telecommunication Branch of State Grid Shandong Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Information and Telecommunication Branch of State Grid Shandong Electric Power 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 State Grid Corp of China SGCC, Information and Telecommunication Branch of State Grid Shandong Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201910297629.XA priority Critical patent/CN110309943A/en
Publication of CN110309943A publication Critical patent/CN110309943A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • 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
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Marketing (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Water Supply & Treatment (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The invention discloses a method for planning an optimal service path of a power transmission network, which is an efficient, scientific and reasonable method for analyzing and selecting the service path of the transmission network, provides powerful technical support means for scientific planning, reasonable configuration and optimal path analysis of network resources, and obviously improves the service operation efficiency, maintenance efficiency and management efficiency. Therefore, the method for planning the optimal service path of the power transmission network is an intelligent analysis method for the optimal path of the power transmission network service planning, and the method realizes that the optimal path of the service is quickly analyzed when the power transmission network makes the service, and a reasonable service making scheme is formulated, so that the workload of a dispatcher when making the service is reduced, and the efficiency and the quality of service making are improved.

Description

A kind of optimal service path planing method of electric transmission network
Technical field
The present invention relates to power transmission technology field more particularly to a kind of optimal service path planning sides of electric transmission network Method.
Background technique
Electric power transmission network carries various power businesses, guarantees all kinds of service security, reliable, efficient stable operation, is Dispatcher when making business with regard to problem in need of consideration at the beginning.At the beginning of various businesses production, for service resources Occupy and the selection factor in need of consideration in path be more and complicated, dispatcher need to huge and mixed and disorderly Internet resources into Row analysis combing, overall consideration, finally selection is than preferably path.
Industry widespread practice is to select different service paths when dispatcher activates the service by rule of thumb at present, needs to examine Consider the various elements for constituting service path analysis, these path analysis elements are more and complicated, and artificial analysis is doomed to will lead to analysis As a result have careless omission, while analysis efficiency can also have a greatly reduced quality more, final choice one by scientific graded quantitative calculate " compared with It is excellent " path.With the continuous growth of whole network portfolio, dispatcher increasingly experiences optimal to business when business production The pressure of Internet resources planning of science activities reasonable disposition etc. occupied by path analysis and business, it is cured to lack a unification Standard, and assist solving the problems, such as Path selection with intelligent analysis means.
Summary of the invention
To solve limitation and defect of the existing technology, the present invention provides a kind of optimal service path rule of electric transmission network The method of drawing, comprising:
Service path weight, the service path weight are set according to the determinant attribute of entire transmission network Internet resources The factor includes: optical cable weight, optical path weight and communication equipment weight;
According to above-mentioned each weight and the corresponding weight computing service path weight of the weight;
Routing priority is ranked up according to the service path weight, to form service path selection scheme.
Optionally, the optical cable weight includes fiber cable type weight, cable lifetime weight, optical cable and industry Whether voltage class difference weight, cable length weight, same station optical cable be engaged in channel weight, the utilization of optical cable fibre core Rate weight and optical cable business heavy duty weight.
Optionally, the attribute of the fiber cable type weight is [OPGW, ADSS, ordinary optical cable and other], corresponding Attribute value is [1,10,20];The attribute of the cable lifetime weight be [within 10 years, -20 years 10 years, -30 years 20 years, More than 30 years], corresponding attribute value is [1,10,20,30].
Optionally, the optical cable and the attribute of business voltage class difference weight be [match, poor grade 1, difference grade 1 with On], corresponding attribute value is [0,500,1000];The attribute of the cable length weight is [less than 50 kilometers, 50 public affairs In -100 kilometers, 100 kilometers -200 kilometers, be greater than 200 kilometers], corresponding attribute value be [1,10,20,30].
Optionally, it is described with station optical cable whether with channel weight attribute be [different channels, same to channel], it is corresponding Attribute value is [0,500];The attribute of the optical cable business heavy duty weight be [carrying relay protection business less than 7, carrying after Electric protection business is more than or equal to 7], corresponding attribute value is [10,200].
Optionally, the attribute of the optical cable fibre core utilization rate weight is [less than or equal to 40%, 40%-80%, to be greater than Equal to 80%], corresponding attribute value is [1,10,200].
Optionally, the optical path weight includes path channels utilization rate weight, the path channels utilization rate The attribute of weight be [be less than or equal to 40%, 40%-80%, be more than or equal to 80%], corresponding attribute value be [1,10, 200]。
Optionally, the communication equipment weight include equipment whether dual power supply weight and power source life power It is worth the factor;Whether the attribute of dual power supply weight is [dual power supply, single supply] to the equipment, and corresponding attribute value is [0,1000];The attribute of the power source life weight be [less than 8 years, be more than or equal to 8 years], corresponding attribute value be [10, 200]。
Optionally, described according to above-mentioned each weight and the corresponding weight computing service path of the weight The step of weight includes:
It is calculated in transmission network according to routing algorithm up to RA1~RAn is routed, wherein RAn=[ab ... z], n=1~N, a Indicate starting point, z indicates that terminal, b indicate intermediate jumper connection point, if a and z be it is direct-connected, b is sky;
To each reachable default weighted value WAn of routing, the weighted value up to routing is all jumper connection areas Weight the sum of of the sum of the weighted value of section plus all routing jumper connection points.
Optionally, further includes:
Routing section set is set as DAnj=[a-b, b-c ... y-z];
Wherein, n=1~N, j=1~M-1, a-b are the starting routing section of routing, and b-c is intermediate routing section, y-z For terminate route section, if a and z be it is direct-connected, route section set be a-z;
Setting routing jumper connection point set is combined into SAnk=[a, b ... z];
Wherein, n=1~N, k=1~M, a indicate starting point, and z indicates terminal, and b indicates intermediate jumper connection point, if a and z are straight Even, then jumper connection point set is combined into [a, z];
The weighted value WAn up to routing is the sum of the weight of each section, and formula is expressed as follows:
WAn=Σ DAnj+ Σ SAnk
Wherein, j=1~M-1, k=1~M, j indicate that the sum of the weighted value on any jth section, k indicate any k-th The sum of weighted value on jumper connection point.
The present invention have it is following the utility model has the advantages that
The optimal service path planing method of electric transmission network provided by the invention is a kind of efficiently scientific and reasonable transmission network Service path analysis and selection method, are planning of science activities, reasonable disposition and the optimum route analysis of Internet resources, provide Strong technical guarantee means, have been obviously improved service operation efficiency, maintenance efficiency and the efficiency of management.Therefore, the present invention mentions The optimal service path planing method of the electric transmission network of confession is a kind of intelligence point of electric transmission network plan of operation optimal path Analysis method quickly analyzes business optimal path when realizing electric transmission network production business, and formulates reasonable business production Scheme reduces workload when dispatcher makes business, promotes the efficiency and quality of business production.
Detailed description of the invention
Fig. 1 is the flow chart for the optimal service path planing method of electric transmission network that the embodiment of the present invention one provides.
Specific embodiment
To make those skilled in the art more fully understand technical solution of the present invention, the present invention is mentioned with reference to the accompanying drawing The optimal service path planing method of the electric transmission network of confession is described in detail.
Embodiment one
Fig. 1 is the flow chart for the optimal service path planing method of electric transmission network that the embodiment of the present invention one provides.Such as Fig. 1 Shown, the optimal service path planing method of electric transmission network provided in this embodiment includes defining service path weight, determining Three adopted service path weight calculation method, service path selection scheme links.
The present embodiment defines the definition of service path weight first.Specifically, the present embodiment is in order to optimal to business Path carries out scientific and reasonable analysis, according to the O&M experience of dispatcher's many years, with the key of entire transmission network Internet resources Attribute is foundation, defines multiple weights, provides necessary data supporting for optimum route analysis theory.The present embodiment mentions The optimal service path planing method of the electric transmission network of confession is planning of science activities, reasonable disposition and the optimal path point of Internet resources Analysis, provides strong technical guarantee means, has been obviously improved service operation efficiency, maintenance efficiency and the efficiency of management.This reality Applying example, to define weight as follows:
The present embodiment sets optical cable weight, and the optical cable weight includes fiber cable type weight, wherein bj1 Indicate that fiber cable type weight, attribute are [OPGW, ADSS, ordinary optical cable and other];Aj1 indicate fiber cable type weight because The corresponding weight of son, corresponding attribute value are [1,10,20].
The optical cable weight includes cable lifetime weight, and bj2 indicates that cable lifetime weight, attribute are [within 10 years, -20 years 10 years, -30 years 20 years, more than 30 years], aj2 indicates the corresponding weight of cable lifetime weight, Corresponding attribute value is [1,10,20,30].
The present embodiment provides optical cable voltage class and the grade of service (500kV or more, 220kV, 110kV, 35kV and its It), the optical cable weight includes optical cable and business voltage class difference weight, and bj3 indicates optical cable and business voltage etc. Differential weight, attribute are [matching, poor grade 1, poor 1 or more grade], aj3 indicate optical cable and business voltage class difference weight because The corresponding weight of son, corresponding attribute value are [0,500,1000].
The optical cable weight includes cable length weight, and bj4 indicates that cable length weight, attribute are [less than 50 kilometers, 50 kilometers -100 kilometers, 100 kilometers -200 kilometers, be greater than 200 companies], aj4 indicate cable length weight because The corresponding weight of son, corresponding attribute value are [1,10,20,30].
Whether the optical cable weight includes with station optical cable with channel weight, and bj5 indicates whether same with station optical cable Channel weight, attribute are [different channels, same to channel], and aj5 indicates whether corresponding with channel weight with station optical cable Weight, corresponding attribute value be [0,500].
The optical cable weight includes optical cable fibre core utilization rate weight, and bj6 indicates optical cable fibre core utilization rate weight The factor, attribute are [be less than or equal to 40%, 40%-80%, be more than or equal to 80%], and aj6 indicates optical cable fibre core utilization rate weight The corresponding weight of the factor, corresponding attribute value are [1,10,200].
The optical cable weight includes optical cable business heavy duty weight, and bj7 indicates optical cable business heavy duty weight, Its attribute is [carrying relay protection business is more than or equal to 7 less than 7, carrying relay protection business], and aj7 indicates the heavy duty of optical cable business The corresponding weight of weight, corresponding attribute value are [10,200].
The present embodiment sets optical path weight.Specifically, the optical path weight includes path channels utilization rate Weight, bj8 indicate path channels utilization rate weight, attribute be [be less than or equal to 40%, 40%-80%, be greater than etc. In 80%], aj8 indicates that the corresponding weight of path channels utilization rate weight, corresponding attribute value are [1,10,200].
The present embodiment setting communication equipment weight.Specifically, the communication equipment weight includes that equipment is No dual power supply weight, bj9 indicate equipment whether dual power supply weight, attribute is [dual power supply, single electricity Source], aj9 indicate equipment whether dual power supply weight weight, corresponding attribute value be [0,1000].
The communication equipment weight includes power source life weight, and bj10 indicates power source life weight, Attribute be [less than 8 years, be more than or equal to 8 years], aj10 indicate power source life weight weight, corresponding attribute value be [10, 200]。
The optimal service path planing method of electric transmission network provided in this embodiment further includes defining service path weight meter Calculation method, the service path weight calculation method are as follows:
The present embodiment is preferentially calculated according to routing algorithm in transmission network up to routing RA1-RAn, and uses array Form stored, wherein RAn=[ab ... z], n=1~N, a indicate starting point, and z indicates that terminal, b indicate intermediate jumper connection point, If a and z be it is direct-connected, b be sky.
The present embodiment is each up to one weighted value WAn of regulation is routed, wherein n=1~N.Defining M indicates a certain reachable The jump number of connections of routing, any M≤7 up to routing, and M=length (RAn).It is each to be up to the weighted value routed Weight the sum of of the sum of the weighted value of all jumper connection sections plus all routing jumper connection points.
The present embodiment is defined as DAnj=[a-b, b-c ... y-z] for section set is routed, wherein and n=1~N, j=1~ M-1, a-b are the starting routing section of routing, and b-c is intermediate routing section, y-z be terminate routing section, if a and z be it is direct-connected, Then routing section set is a-z.
The present embodiment is defined as SAnk=[a, b ... z] for jumper connection point set is routed, wherein n=1~N, k=1~M, a table Show starting point, z indicates that terminal, b indicate intermediate jumper connection point, if a and z be it is direct-connected, jumper connection point set is combined into a, z.
There are two types of the analysis modes of transmission network service optimal path for the present embodiment: a kind of optical fiber is dedicated, a kind of 2M multiplexing.By Object in optical fiber dedicated service path and 2M multiplexing service path analysis is variant, and the weight set of consideration is not yet Together, therefore, the present embodiment respectively makes definitions to weight corresponding to both of these case.
The present embodiment is defined the conjunction of optical fiber dedicated weight factor set.Firstly, the present embodiment calculates optical fiber dedicated service The weight set SD of each section weight in path, it includes weight [bj1, bj2, bj3, bj4, bj6, bj7], wherein SD Gather length L=M=length (SD).Then, the present embodiment calculates the weight of each jumper connection point weight in optical fiber dedicated service path Factor set SS, it includes weight [bj5], and wherein SS gathers length P=length (SS).
The present embodiment is defined 2M multiplexing weight set.Firstly, the present embodiment calculates 2M multiplexing service path The weight set SD of each section weight, it includes weight [bj1, bj2, bj3, bj4, bj7, bj8], and wherein SD gathers Length L=M=length (SD).Then, the present embodiment calculates the weight collection of each jumper connection point weight in 2M multiplexing service path SS is closed, it includes weight [bj5, bj9, bj10], and wherein SS gathers length P=length (SS).
Optionally, single service path list section weight computing is DAnj=Σ SDi, wherein j=1~M-1, i=0~ L, if i=0, DAnj 0.Preferably, single jumper connection point weight computing is SAnk=Σ SSi, wherein k=1~M, i=0~ P, if i=0, SAnk 0.In the present embodiment, each weighted value WAn up to routing is the sum of the weight of each section: WAn =Σ DAnj+ Σ SAnk, wherein j=1~M-1, k=1~M, j indicate weighted value on any jth section and, k indicates any Weighted value on k-th of jumper connection point and.
Transmission network service path provided in this embodiment planning fully considered fiber cable type, cable lifetime, voltage class, The Multiple factors such as optical cable heavy duty, and different grades of weight is configured, routing priority is configured according to weight.The present embodiment provides Routing priority rule be " weight is lower, routing priority is higher ", corresponding weighted value is analyzed according to service path RAn WAn is ranked up to filter out selectable service path set according to routing priority, provides one kind for dispatcher The means of intelligent optimum route analysis.
The optimal service path planing method of electric transmission network provided in this embodiment is a kind of efficiently scientific and reasonable transmission Network service path analysis and selection method are planning of science activities, reasonable disposition and the optimum route analysis of Internet resources, provide Strong technical guarantee means, have been obviously improved service operation efficiency, maintenance efficiency and the efficiency of management.Therefore, this implementation The optimal service path planing method of electric transmission network that example provides is a kind of intelligence of electric transmission network plan of operation optimal path Change analysis method, when realizing electric transmission network production business, quickly analyzes business optimal path, and formulate reasonable business Production program reduces workload when dispatcher makes business, promotes the efficiency and quality of business production.
It is understood that the principle that embodiment of above is intended to be merely illustrative of the present and the exemplary implementation that uses Mode, however the present invention is not limited thereto.For those skilled in the art, essence of the invention is not being departed from In the case where mind and essence, various changes and modifications can be made therein, these variations and modifications are also considered as protection scope of the present invention.

Claims (10)

1. a kind of optimal service path planing method of electric transmission network characterized by comprising
Service path weight, the service path weight are set according to the determinant attribute of entire transmission network Internet resources It include: optical cable weight, optical path weight and communication equipment weight;
According to above-mentioned each weight and the corresponding weight computing service path weight of the weight;
Routing priority is ranked up according to the service path weight, to form service path selection scheme.
2. the optimal service path planing method of electric transmission network according to claim 1, which is characterized in that the optical cable power The value factor includes fiber cable type weight, cable lifetime weight, optical cable and business voltage class difference weight, optical cable Whether the Length Weight factor, same station optical cable are the same as channel weight, optical cable fibre core utilization rate weight and optical cable business weight Carry weight.
3. the optimal service path planing method of electric transmission network according to claim 2, which is characterized in that the optical cable class The attribute of type weight is [OPGW, ADSS, ordinary optical cable and other], and corresponding attribute value is [1,10,20];The optical cable The attribute of service life weight be [within 10 years, -20 years 10 years, -30 years 20 years, more than 30 years], corresponding attribute value for [1, 10、20、30]。
4. the optimal service path planing method of electric transmission network according to claim 2, which is characterized in that the optical cable with The attribute of business voltage class difference weight is [matching, poor grade 1, poor 1 or more grade], corresponding attribute value be [0,500, 1000];The attribute of the cable length weight be [less than 50 kilometers, 50 kilometers -100 kilometers, 100 kilometers -200 kilometers, Greater than 200 kilometers], corresponding attribute value is [1,10,20,30].
5. the optimal service path planing method of electric transmission network according to claim 2, which is characterized in that described with station light Cable whether with channel weight attribute be [different channels, same to channel], corresponding attribute value be [0,500];The optical cable The attribute of business heavy duty weight is [carrying relay protection business is more than or equal to 7 less than 7, carrying relay protection business], right The attribute value answered is [10,200].
6. the optimal service path planing method of electric transmission network according to claim 2, which is characterized in that the optical cable is fine The attribute of core utilization rate weight is [be less than or equal to 40%, 40%-80%, be more than or equal to 80%], and corresponding attribute value is [1、10、200]。
7. the optimal service path planing method of electric transmission network according to claim 2, which is characterized in that the optical path power The value factor includes path channels utilization rate weight, and the attribute of the path channels utilization rate weight is [to be less than or equal to 40%, 40%-80%, be more than or equal to 80%], corresponding attribute value be [1,10,200].
8. the optimal service path planing method of electric transmission network according to claim 2, which is characterized in that the communication is set Standby weight include equipment whether dual power supply weight and power source life weight;The equipment whether dual power supply The attribute of power supply weight is [dual power supply, single supply], and corresponding attribute value is [0,1000];The power source life weight because The attribute of son is [less than 8 years, more than or equal to 8 years] that corresponding attribute value is [10,200].
9. the optimal service path planing method of electric transmission network according to claim 1, which is characterized in that described according to upper The step of stating each weight and the weight corresponding weight computing service path weight include:
It is calculated in transmission network according to routing algorithm up to routing RA1~RAn, wherein RAn=[ab ... z], n=1~N, a are indicated Starting point, z indicate that terminal, b indicate intermediate jumper connection point, if a and z be it is direct-connected, b is sky;
To each reachable default weighted value WAn of routing, the weighted value up to routing is all jumper connection sections Weight the sum of of the sum of the weighted value plus all routing jumper connection points.
10. the optimal service path planing method of electric transmission network according to claim 9, which is characterized in that further include:
Routing section set is set as DAnj=[a-b, b-c ... y-z];
Wherein, n=1~N, j=1~M-1, a-b are the starting routing section of routing, and b-c is intermediate routing section, and y-z is knot Beam route section, if a and z be it is direct-connected, route section set be a-z;
Setting routing jumper connection point set is combined into SAnk=[a, b ... z];
Wherein, n=1~N, k=1~M, a indicate starting point, and z indicates that terminal, b indicate intermediate jumper connection point, if a and z be it is direct-connected, Jumper connection point set is combined into [a, z];
The weighted value WAn up to routing is the sum of the weight of each section, and formula is expressed as follows:
WAn=Σ DAnj+ Σ SAnk
Wherein, j=1~M-1, k=1~M, j indicate that the sum of the weighted value on any jth section, k indicate any k-th of jumper connection The sum of weighted value on point.
CN201910297629.XA 2019-04-15 2019-04-15 Optimal service path planning method for power transmission network Pending CN110309943A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910297629.XA CN110309943A (en) 2019-04-15 2019-04-15 Optimal service path planning method for power transmission network

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910297629.XA CN110309943A (en) 2019-04-15 2019-04-15 Optimal service path planning method for power transmission network

Publications (1)

Publication Number Publication Date
CN110309943A true CN110309943A (en) 2019-10-08

Family

ID=68074876

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910297629.XA Pending CN110309943A (en) 2019-04-15 2019-04-15 Optimal service path planning method for power transmission network

Country Status (1)

Country Link
CN (1) CN110309943A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113992519A (en) * 2021-11-17 2022-01-28 国网天津市电力公司 Power communication resource planning method capable of automatically calculating
CN115118649A (en) * 2022-06-29 2022-09-27 国网山东省电力公司威海供电公司 Automatic planning method for relay protection route of power communication network

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6215771B1 (en) * 1995-04-01 2001-04-10 Nortel Networks Limited Traffic routing in a telecommunications network
CN105007222A (en) * 2015-04-20 2015-10-28 中国电信股份有限公司 Business transmission path selection method and business transmission path selection device
CN107689918A (en) * 2017-09-12 2018-02-13 南京南瑞信息通信科技有限公司 A kind of automatic search method in power telecom network service channel path
CN108832968A (en) * 2018-09-18 2018-11-16 国家电网有限公司 The important service bearing capacity of powerline network determines method and device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6215771B1 (en) * 1995-04-01 2001-04-10 Nortel Networks Limited Traffic routing in a telecommunications network
CN105007222A (en) * 2015-04-20 2015-10-28 中国电信股份有限公司 Business transmission path selection method and business transmission path selection device
CN107689918A (en) * 2017-09-12 2018-02-13 南京南瑞信息通信科技有限公司 A kind of automatic search method in power telecom network service channel path
CN108832968A (en) * 2018-09-18 2018-11-16 国家电网有限公司 The important service bearing capacity of powerline network determines method and device

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113992519A (en) * 2021-11-17 2022-01-28 国网天津市电力公司 Power communication resource planning method capable of automatically calculating
CN115118649A (en) * 2022-06-29 2022-09-27 国网山东省电力公司威海供电公司 Automatic planning method for relay protection route of power communication network
CN115118649B (en) * 2022-06-29 2023-07-11 国网山东省电力公司威海供电公司 Automatic planning method for relay protection route of power communication network

Similar Documents

Publication Publication Date Title
Ganguly et al. Recent advances on power distribution system planning: a state-of-the-art survey
Langendahl et al. Smoothing peaks and troughs: Intermediary practices to promote demand side response in smart grids
CN102722764B (en) Integration network optimization computer-aided decision support System
CN102097805B (en) Optimization decision method for comprehensive energy-saving and loss-reducing technology of urban and rural distribution network
CN105703973B (en) A kind of power communication fiber optic network reliability consideration method based on composite measure
CN109977188A (en) A kind of multi-specialized data correlation fusion method of gradual power grid and device
CN110309943A (en) Optimal service path planning method for power transmission network
CN101527454B (en) Method for automatically generating annual running mode report of power grid
Dang-Ha et al. The role of big data on smart grid transition
CN110427392A (en) Power distribution network grid management information system based on cloud platform
de Moraes et al. Short-term scheduling of integrated power and spinning reserve of a wind-hydrothermal generation system with ac network security constraints
McBennett et al. Cross-border energy trade between Nepal and India: Assessment of trading opportunities
Shafiullah et al. Different smart grid frameworks in context of smart neighborhood: A review
Verma et al. Greenfield distribution network expansion strategy with hierarchical GA and MCDEA under uncertainty
CN107611993B (en) A kind of idle work optimization method suitable for extra-high voltage half-wave power transmission system
Ma et al. Cloud computing: an innovative IT paradigm to facilitate power system operations
CN110401556A (en) A kind of method and apparatus of IDC computer room cable visualization Automatic dispatching
CN105633970B (en) Distribution back scheduling control system building method based on major network scheduling system
CN104243218B (en) A kind of communication of power system mode list preparation method based on more schedule constraints
CN106506190A (en) A kind of communication network runtime and operation method
Pradeep et al. Towards usage of CIM in Indian power sector
CN110688619A (en) Theoretical line loss calculation system and method for power distribution network
CN102035210A (en) Relaxative-constraint powerless equipment optimization method for power system
Mishra et al. Resilient smart-grid system: Issues and challenges
CN106897525A (en) The intellectualizing system platform and method of a kind of energy internet communication planning and designing

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
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20191008