CN110991816A - Construction level monitoring method and device for first-class power distribution network - Google Patents
Construction level monitoring method and device for first-class power distribution network Download PDFInfo
- Publication number
- CN110991816A CN110991816A CN201911106555.3A CN201911106555A CN110991816A CN 110991816 A CN110991816 A CN 110991816A CN 201911106555 A CN201911106555 A CN 201911106555A CN 110991816 A CN110991816 A CN 110991816A
- Authority
- CN
- China
- Prior art keywords
- index data
- distribution network
- rate
- power distribution
- equipment
- 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
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The application relates to a method, a device, computer equipment and a storage medium for monitoring the construction level of a first-class power distribution network, wherein the method comprises the following steps: collecting multiple groups of distribution network index data of a monitoring area; the power distribution network index data comprises a network frame index data, an equipment index data, an operation and maintenance index data and a customer service index data; screening out key index data from the index data of the power distribution network by a partial least square method; and determining the quality information of the power distribution network in the monitoring area according to the key index data, wherein the quality information of the power distribution network is used for representing the construction level of the first-class power distribution network in the monitoring area. The application structure provides an evaluation index system of the first-class distribution network, and plays an important guiding role in the construction of the first-class urban distribution network; the method for quantitatively screening the key indexes based on the partial least square method is provided, so that the finally determined key index data accurately reflects the construction level of the first-class distribution network, and the method has the advantages of high efficiency and high precision.
Description
Technical Field
The application relates to the technical field of power distribution network monitoring, in particular to a method and a device for monitoring the construction level of a first-class power distribution network.
Background
At present, the importance degree of the country and the power enterprises to the construction of the first-class power distribution network is continuously deepened, but the evaluation and monitoring of the construction level of the first-class power distribution network in the country are still in the exploration stage. In the previous technical research, part of the research summarizes the experience in the construction process of the first-class power distribution network, and promotes the application and implementation of standardized management in the engineering construction of the first-class power distribution network in a point-to-point manner. However, the method has strong subjectivity, cannot comprehensively and objectively reflect the construction level of the distribution networks in all regions, and has the problems of low efficiency and low precision.
Disclosure of Invention
In view of the above, there is a need to provide a method and a device for monitoring the construction level of a primary distribution network quickly and accurately.
The invention provides a construction level monitoring method for a first-class power distribution network, which comprises the following steps:
collecting multiple groups of distribution network index data of a monitoring area; the power distribution network index data comprises net rack index data, equipment index data, operation and maintenance index data and customer service index data;
screening key index data from the index data of the power distribution network by a partial least square method;
and determining the quality information of the power distribution network in the monitoring area according to the key index data, wherein the quality information of the power distribution network is used for representing the construction level of the first-class power distribution network in the monitoring area.
A first-class distribution network construction level monitoring device, the device includes:
the data acquisition module is used for acquiring multiple groups of index data of the power distribution network in the monitoring area; the power distribution network index data comprises net rack index data, equipment index data, operation and maintenance index data and customer service index data;
the key index screening module is used for screening key index data from the index data of the power distribution network by a partial least square method;
and the quality information determining module is used for determining the quality information of the power distribution network in the monitoring area according to the key index data, and the quality information of the power distribution network is used for representing the construction level of the first-class power distribution network in the monitoring area.
The invention also provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method when executing the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.
The construction level monitoring method, the device, the computer equipment and the storage medium of the first-class power distribution network deeply analyze the definition and the connotation of the first-class power distribution network; starting from four characteristic dimensions of a net rack, equipment, operation and maintenance and customer service, comprehensive characteristic analysis is performed on a first-class power distribution network, a first-class power distribution network evaluation index system is systematically constructed and proposed, and an important guiding effect is played for construction of a first-class urban power distribution network; based on the constructed first-class distribution network index system, the method for quantitatively screening the key indexes based on the partial least square method is provided, modeling can be performed under the condition that independent variables have serious multiple correlations, modeling is allowed to be performed under the condition that the number of sample points is less than that of the variables, system information and noise are easier to identify, and finally determined key index data accurately reflect the construction level of the first-class distribution network, so that the method has the advantages of high efficiency and high precision.
Drawings
Fig. 1 is an application environment diagram of a construction level monitoring method of a primary distribution network according to an embodiment;
fig. 2 is a schematic flow chart of a construction level monitoring method for a primary distribution network according to an embodiment;
FIG. 3 is a schematic diagram of the rotatable power supply of distribution networks in area A, area B and area C in one embodiment;
FIG. 4 is a schematic diagram of distribution automation coverage for zone A, zone B, and zone C in one embodiment;
FIG. 5 is a schematic diagram showing the power supply reliability of zone A, zone B and zone C in one embodiment;
FIG. 6 is a schematic third party customer satisfaction graph for zone A, zone B, and zone C in one embodiment;
fig. 7 is a block diagram of a construction level monitoring apparatus for a primary distribution network according to an embodiment;
FIG. 8 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The construction level monitoring method for the first-class power distribution network can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
In one embodiment, as shown in fig. 2, a method for monitoring the construction level of a primary distribution network is provided, which is exemplified by the application of the method to the server 104 in fig. 1, and includes the following steps:
step S21, collecting multiple groups of index data of the power distribution network in a monitoring area; the power distribution network index data comprises a network frame index data, an equipment index data, an operation and maintenance index data and a customer service index data;
s22, screening out key index data from the index data of the power distribution network by a partial least square method;
step S23, determining the quality information of the distribution network in the monitoring area according to the key index data, wherein the quality information of the distribution network is used for representing the construction level of the first-class distribution network in the monitoring area.
According to the construction level monitoring method for the first-class power distribution network, when the index data of the power distribution network is selected, characteristic analysis is performed on the first-class power distribution network from four characteristic dimensions of a net rack, equipment, operation and maintenance and customer service. The network frame index data is used for representing the flexible reliability of the network frame, the equipment index data is used for representing the standard intellectualization of equipment, the operation and maintenance index data is used for representing the lean high efficiency of operation and maintenance, and the customer service index data is used for representing the high-quality interactivity of customer service.
For each of the above types of distribution network indicator data, the server 104 may be obtained from different terminals 102.
After the server 104 obtains various distribution network index data, the key index data can be screened out through a partial least square method. Specifically, n regional distribution networks are regarded as n samples, and each sample observes p index variables: x1,X2,…,XpWherein X isi＝(x1i,…,xni),i＝1,2,...,p，xki(k-1, 2, …, n) represents the index of the ith sample. And then, calculating the principal component score of the index data by adopting principal component analysis to realize final screening and evaluation. The specific implementation process is as follows:
mixing X1,X2,…,XpAnd (3) performing linear combination (combination formed by a plurality of index variables obtained by observing the index data) to obtain a comprehensive index vector model:
wherein, F1,F2,…,FpA synthetic index vector is obtained by linear combination; a is11,a21,…,appAre linear combination coefficients.
After multiple groups of power distribution network index data in the monitoring area are obtained, the covariance of the power distribution network index data is calculated by adopting the following formula, so that a covariance matrix of the power distribution network index data is obtained:
wherein s isijRepresenting the covariance of the i index and the j index; x is the number ofkiThe index of the ith item of the kth sample; x is the number ofkjRepresents the jth index of the kth sample; n is the number of samples; where for i and j there are: i, j ═ 1,2,. ·, p; p is the number of indices per sample;
and
the average values of n samples of the ith index and the jth index are respectively.
Then, the eigenvalue of the covariance matrix and the corresponding orthogonalization unit eigenvector are solved, and the linear combination coefficient a in the above formula is obtained according to the eigenvalue of the covariance matrix and the corresponding orthogonalization unit eigenvector11,a21,…,app：
After the linear combination coefficient values are obtained, specific numerical values of the comprehensive index vectors are obtained according to the linear combination coefficients and the comprehensive index vector model, and principal component scores on the p indexes are represented according to the comprehensive index vectors:
Fi＝a1iX1+a2iX2+…+apiXp
wherein, FiIs the principal component score of the i-th index. And finally, screening and evaluating key indexes according to the principal component scores of the index data.
After the key index data are obtained, the quality information of the power distribution network in the monitoring area can be determined according to the key index data, and the quality information of the power distribution network is used for representing the construction level of the first-class power distribution network in the monitoring area.
In one embodiment, the rack indicator data comprises: high-voltage backbone network frame index data, medium and low-voltage distribution network frame index data and communication network index data.
The index data of the high-voltage backbone net rack is used for representing the characteristics of the high-voltage backbone net rack, generally, the high-voltage backbone net rack mostly adopts 3T connection, the operation and scheduling mode is flexible and reliable, and the capacity is abundant. Medium and low voltage distribution network rack index data are used for representing medium and low voltage distribution network rack characteristics, generally, the medium voltage distribution network rack adopts looped network power supply, and the closed loop structure open loop operation mode still contains the alternating current-direct current hybrid network structure of little electric wire netting, and the low voltage distribution network rack generally is the structural style that the low voltage bus multisource is liaison more, also contains the alternating current-direct current hybrid power supply mode of little electric wire netting. The communication network index data is used to reflect characteristics of a communication network, and generally, the communication network uses optical fiber communication as a backbone and has high integration.
In one embodiment, the high voltage backbone network frame index data comprises the N-1 passing rate A of the 110kV transformer1-1110kV line N-1 passing rate A1-2And the capacity-to-load ratio A of the 110kV transformer1-3。
Wherein, the N-1 passing rate A of the 110kV transformer1-1The method is suitable for evaluating the 110kV high-voltage distribution network and is used for checking the structural strength and the running mode rationality of the high-voltage distribution network after losing one 110kV transformer. The index data may be calculated by the following expression:
110kV line N-1 passing rate A1-2The method is suitable for evaluating the 110kV high-voltage distribution network and used for checking the strength of the high-voltage distribution network structure and the rationality of the operation mode. The index data may be calculated by the following expression:
110kV transformer capacity-load ratio A1-3The ratio of the total capacity of the 110kV transformer to the maximum load (network supply load) of a power supply area can be calculated by referring to the following expression:
in one embodiment, the medium and low voltage distribution network rack index data comprises: rotatable power supply rate A of distribution network2-1Typical connection rate A2-2Unit power supply cost A2-3Inter-station contact rate A2-4Capacity-load ratio A of 10kV transformer2-5Input-output ratio A of power distribution network2-6Clean energy ratio A2-7Comprehensive energy conversion rate A2-8Micro-grid power supply user ratio A2-9Diversified load access rate A2-10Self-healing user ratio A2-11And average self-healing time A of user2-11。
Wherein, the distribution network can transfer the power supply rate A2-1The method is one of important indexes for evaluating the reliability of the grid structure of the power distribution system, represents the ratio of the number of the rotatable power supply lines to the total number of the lines, and can calculate by referring to the following expression:
typical connection rate A2-2The proportion of lines in a wiring mode specified in the power grid planning technical guideline is represented, and can be calculated by adopting the following expression:
unit power supply cost A2-3The calculation is carried out according to the total power supply cost divided by the power selling amount, and the specific formula is as follows:
communication rate between stations A2-4The ratio of all medium-voltage lines for realizing communication between stations to all medium-voltage lines is shown in the following formula:
capacity-load ratio A of 10kV transformer2-5The calculation method is similar to the calculation method of the capacity-to-load ratio of the 110kV transformer, and is specifically as follows:
input-output ratio A of power distribution network2-6The method is used for reflecting the operation return degree of invested funds of the planning and construction of the power distribution network, and the calculation mode refers to the following formula:
ratio of clean energy to A2-7The ratio of the clean energy generated energy to the total generated energy is calculated as follows:
comprehensive energy conversion rate A2-8The conversion efficiency of the primary energy output into various energy sources such as electricity, steam, cold, heat, water and the like is calculated in the following way:
micro-grid power supply user ratio A2-9The proportion of the number of the electricity users supported by the micro-grid in the region to the total number of the users in the region is indicated, and the calculation mode is as follows:
diversified load access rate A2-10The ratio of diversified emerging loads such as electric automobiles to the total power load is calculated as follows:
self-healing user ratio a2-11The calculation method is defined as the percentage value of the total number of users of fault self-healing recovery and the total number of users affected by faults in the statistical time period, and comprises the following steps:
average self-healing time A of user2-12The calculation method is defined as the average time consumed by the fault self-healing user from the fault outage to the power restoration, and comprises the following steps:
in one embodiment, the communications network metric data comprises: optical fiber communication coverage rate A3-1Four-net fusion coverage rate A3-2And a three meters reading coverage rate A3-3。
Wherein, the optical fiber communication coverage rate A3-1The proportion of the number of the optical fiber communication coverage lines of the power grid is assigned, and the following expression is referred to: .
Four-net fusion coverage rate A3-2The user number ratio for realizing the integration of four networks of a broadcast television network, an internet, a telecommunication network and an intelligent power grid refers to the following expression:
three meters integrated reading coverage rate A3-3The remote meter reading user proportion for realizing the integration of an electric meter, a water meter and a gas (natural gas) meter refers to the following expression:
in one embodiment, the equipment metrics data includes: equipment standardization meansThe method comprises the following steps of generating target data, equipment intelligent index data, primary and secondary equipment fusion index data and equipment electronic tag index data; wherein the equipment standardization index data comprises an equipment average life cycle B1-1And net asset scrap rate B1-2(ii) a The equipment intelligent index data comprises a feeder automation terminal coverage rate B2-1And intelligent power distribution room coverage rate B2-2(ii) a The primary and secondary equipment fusion index data comprises a primary and secondary fusion equipment proportion B3-1(ii) a The equipment electronic label index data comprises a positioning and tracking equipment proportion B4-1。
The average life cycle (B1-1) of the equipment is an important index reflecting the equipment level of the power distribution network, and the life cycle of the equipment of the power distribution network is represented by the following expression.
The net asset discard rate (B1-2) is the ratio of the net asset discard value to the original asset value, and is expressed by the following expression:
feeder automation terminal coverage (B2-1) is suitable for use in evaluating 10(20) kV medium voltage distribution networks for analysis of distribution automation versus measurement communications, according to the following expression:
the intelligent power distribution room coverage rate (B2-2) reflects the utilization of power distribution network equipment state on-line monitoring and power distribution intelligent inspection robot technology, realizes the duty ratio of the inspection-free intelligent power distribution room, and refers to the following expression:
the proportion of the primary and secondary fusion equipment (B3-1) reflects the proportion of the primary equipment and the secondary equipment in the intelligent power distribution network, and refers to the following expression:
the positioning and tracking equipment ratio (B4-1) represents the ratio of the number of equipment capable of positioning and tracking to the number of equipment currently used, and the following expression is referred to:
in one embodiment, the operation and maintenance index data comprises: the method comprises the following steps that intelligent operation monitoring index data, lean quality control index data and intelligent equipment state monitoring index data of the power distribution network are obtained;
the intelligent operation monitoring index data of the power distribution network comprises the annual average power failure time C of urban users1-1Average annual power failure times of urban users C1-2And distributed energy consumption rate C1-3；
The lean quality control index data comprises power supply reliability C2-1Voltage qualification rate C2-2Line loss rate C2-3Three-phase unbalance degree C2-4Average number of user sag events C2-5And gridding operation and maintenance service proportion C2-6；
The intelligent equipment state monitoring index data comprises state monitoring and overhaul coverage rate C3-1Distribution network equipment fault rate C3-210kV fault trip rate C3-3Distribution network live working rate C3-4Distribution network operation moving realization rate C3-5And overhead line intelligent maintenance coverage rate C3-6。
Wherein, the average annual power failure time C of urban users1-1And (3) referring to the following expression for the average power failure hours of the power supply users in the statistical period:
cityAverage annual power failure times of users C1-2The method is one of important indexes for representing the reliability of a power distribution system, and represents the average power failure times of each user in the system in one year, and the following expression is referred to:
distributed energy consumption rate C1-3Assigning the ratio of the new energy output capacity actually consumed by the power grid to the total output of the distributed power supply, and referring to the following expression:
reliability of power supply C2-1The method is used for quantitatively measuring the reliable power supply degree of a power supply network to a user, and the following expression is referred to:
voltage qualification rate C2-2The method is suitable for evaluating distribution networks at all levels, is an important basis for measuring the quality of power supply to users, and the voltage qualification rate of a certain monitoring point is calculated as follows:
line loss rate C2-3The index is suitable for each voltage grade of the power distribution network, is a comprehensive technical and economic index reflecting the power grid operation management level, and refers to the following expression: .
Three-phase unbalance degree C2-4Referring to the degree of three-phase imbalance in a three-phase power system, refer to the following expression:
average number of user sag events C2-5The average number of times of voltage sag of user equipment caused by faults or sudden large changes of loads of a distribution network and a power transformation facility refers to the following expression:
gridding operation and maintenance service proportion C2-6The method is used for reflecting the level of operation and maintenance control and lean operation and maintenance service implementation through regional gridding division, and refers to the following expression:
state monitoring and repair coverage rate C3-1The proportion of the number of the condition monitoring and maintenance equipment in the area is shown by referring to the following expression:
in one embodiment, the distribution network equipment failure rate comprises a 110kV transformer failure rate C3-2.1110kV line fault rate C3-2.210kV transformer fault rate C3-2.310kV line fault rate C3-2.4And switchgear failure rate C3-2.5。
Wherein, the fault rate C of the 110kV transformer3-2.1The method refers to the number of power failure times of each 100 110kV transformers in the statistical time, and the following expression is referred to:
fault rate of 110kV line C3-2.2The number of power failure in a fault of 110kV line per 100 kilometers in statistical time is shown, and the following expression is referred to: .
Failure rate C of 10kV transformer3-2.3The calculation mode is consistent with that of the fault rate of the 110kV transformer, and the fault rate C of the 10kV line3-2.4The calculation modes of the fault rate of the 110kV line are consistent.
Switchgear failure rate C3-2.5The power failure frequency of each 100 pieces of switch equipment in the statistical time refers to the following expression:
10kV fault trip rate C3-3The number of times of fault tripping of every 100 10kV lines in the statistical time is referred to the following expression:
distribution network live working rate C3-4Reflecting the operation and maintenance level of the distribution line maintenance without power outage, and referring to the following expression:
distribution network operation mobility realization rate C3-5The method reflects the mobile operation and lean management level of power distribution network line inspection, overhaul, detection and the like, and refers to the following expression:
intelligent maintenance coverage rate C of overhead line3-6The overhead line proportion for realizing intelligent maintenance inspection refers to the following expression:
in one embodiment, the customer service index data includes base service index data and high-level service index data, wherein:
the base service indicator data comprises: third party customer satisfaction D1-1Million customer complaints D1-2And coverage rate D of intelligent electric meter1-3Low voltage collecting rate D1-4In-place timeliness rate D of emergency repair and restoration1-5And electronic mapping coverage rate D of material1-6；
The advanced service index data includes: customized service duty ratio D2-1High-end customer green channel service coverage rate D2-2And energy saving diagnostic service coverage D2-3。
Third party customer satisfaction (D1-1) a comprehensive survey is conducted by a third party survey agency according to the company third party appraisal customer satisfaction index system and a survey report is formed.
The million customer complaint amount (D1-2) refers to the complaint amount per million electricity customers, and the following expression is referred to:
the coverage rate (D1-3) of the intelligent electric meter is used for reflecting the power utilization management level of the power supply enterprise, is an important standard for measuring the quality of service customers of the power supply enterprise, and is expressed by the following expression:
the low-voltage meter reading rate (D1-4) is used for reflecting the automatic meter reading level of power utilization information acquisition, is an important index for measuring the quality of power supply service customers, and refers to the following expression:
the first-aid repair restoration arrival time rate (D1-5) refers to the proportion of the times from the time of receiving repair and recording to the time of the technician arriving at the first-aid repair site in a specified time range, and refers to the following expression:
the electronic mapping coverage rate (D1-6) of the goods and materials reflects the electronization and visualization level of the customer service goods and materials, and the following expression is referred to:
the customized service duty (D2-1) represents a customized power service duty that provides a user sensitive to power quality with a level of reliability and power quality on demand that meets the user's particular needs, with reference to the following expression:
the high end customer green channel service coverage (D2-2) reflects power service priority for the high end customer, prioritizes service demand, complaints, etc. of the high end customer, with reference to the following expression:
the energy saving diagnosis service coverage (D2-3) represents a coverage area ratio of the electric power company providing the energy saving diagnosis technology service for the customer, and refers to the following expression:
taking the index data of the distribution network in the area a, the area B and the area C of a certain city in China from 2011 to 2016 as an example, by adopting the method for monitoring the construction level of the first-class distribution network provided by the embodiment of the application, the key indexes of the area a, the area B and the area C of the city are screened from the four dimensions of the net rack, the equipment, the operation and maintenance and the customer service, for example, the indexes of the rotatable power supply rate, the distribution automation coverage rate, the power supply reliability and the customer satisfaction degree of a third party can be screened as the key indexes of the three areas of the city, and the screened key index data are shown in fig. 3-6. The screened key index data run through the whole power distribution network construction level monitoring process, and effective and diversified data sources are provided for improving the power distribution network construction level monitoring accuracy.
The construction level monitoring method for the first-class power distribution network deeply analyzes the definition and connotation of the first-class power distribution network; starting from four characteristic dimensions of a net rack, equipment, operation and maintenance and customer service, comprehensive characteristic analysis is performed on a first-class power distribution network, a first-class power distribution network evaluation index system is systematically constructed and proposed, and an important guiding effect is played for construction of a first-class urban power distribution network; based on the constructed first-class distribution network index system, a key index quantitative screening method based on a partial least square method is provided, modeling can be performed under the condition that independent variables have serious multiple correlations, modeling is allowed to be performed under the condition that the number of sample points is less than that of variables, system information and noise can be more easily identified, and finally determined key index numbers can more accurately reflect the construction level of the first-class distribution network.
In one embodiment, as shown in fig. 7, there is provided a primary distribution network construction level monitoring apparatus, the apparatus comprising:
the data acquisition module 301 is used for acquiring multiple groups of index data of the power distribution network in a monitoring area; the power distribution network index data comprises a network frame index data, an equipment index data, an operation and maintenance index data and a customer service index data;
the key index screening module 302 is configured to screen key index data from the power distribution network index data by a partial least square method;
a quality information determining module 303, configured to determine, according to the key indicator data, power distribution network quality information of the monitoring area, where the power distribution network quality information is used to represent a first-class power distribution network construction level of the monitoring area.
For specific limitations of the construction level monitoring device for the first-class power distribution network, reference may be made to the above limitations of the construction level monitoring method for the first-class power distribution network, and details thereof are not repeated here. All or part of the modules in the construction level monitoring device for the first-class power distribution network can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 8. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method for monitoring a construction level of a primary distribution network.
Those skilled in the art will appreciate that the architecture shown in fig. 8 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
step S21, collecting multiple groups of index data of the power distribution network in a monitoring area; the power distribution network index data comprises a network frame index data, an equipment index data, an operation and maintenance index data and a customer service index data;
s22, screening out key index data from the index data of the power distribution network by a partial least square method;
step S23, determining distribution network quality information of the monitoring area according to the key indicator data, where the distribution network quality information is used to characterize a first-class distribution network construction level of the monitoring area.
The steps in each embodiment of the construction level monitoring method for a first-class power distribution network may also be implemented when the processor executes the computer program, which is not described herein again.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
step S21, collecting multiple groups of index data of the power distribution network in a monitoring area; the power distribution network index data comprises a network frame index data, an equipment index data, an operation and maintenance index data and a customer service index data;
s22, screening out key index data from the index data of the power distribution network by a partial least square method;
step S23, determining distribution network quality information of the monitoring area according to the key indicator data, where the distribution network quality information is used to characterize a level of construction of a primary distribution network of the monitoring area.
The computer program, when executed by the processor, may further implement the steps in the embodiments of the construction level monitoring method for a first-class power distribution network, which are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (13)
1. A method for monitoring the construction level of a primary distribution network, the method comprising:
collecting multiple groups of distribution network index data of a monitoring area; the power distribution network index data comprises a network frame index data, an equipment index data, an operation and maintenance index data and a customer service index data;
screening out key index data from the index data of the power distribution network by a partial least square method;
and determining the quality information of the power distribution network in the monitoring area according to the key index data, wherein the quality information of the power distribution network is used for representing the construction level of the first-class power distribution network in the monitoring area.
2. The method according to claim 1, wherein the grid structure index data includes: high-voltage backbone network frame index data, medium-low voltage distribution network frame index data and communication network index data.
3. The method according to claim 2, wherein the high voltage backbone network frame index data includes a 110kV transformer N-1 pass rate, a 110kV line N-1 pass rate, and a 110kV transformer capacity-to-load ratio.
4. The method for monitoring the construction level of the primary distribution network according to claim 2 or 3, wherein the network frame index data of the medium and low voltage distribution network comprises: the method comprises the following steps of rotatable power supply rate of a distribution network, typical wiring rate, unit power supply cost, inter-station contact rate, 10kV transformer capacity-load ratio, input-output ratio of the distribution network, clean energy occupation ratio, comprehensive energy conversion rate, micro-grid power supply user ratio, diversified load access rate, self-healing user occupation ratio and user average self-healing time.
5. A method according to claim 2 or 3, wherein said communication network indicator data comprises: the coverage rate of optical fiber communication, the coverage rate of four-network integration and the coverage rate of three-meter centralized reading.
6. The method according to claim 1, wherein the equipment index data includes: the method comprises the following steps of (1) equipment standardization index data, equipment intelligent index data, primary and secondary equipment fusion index data and equipment electronic tag index data;
the equipment standardization index data comprises an equipment average life cycle and a net asset scrappage rate;
the equipment intelligent index data comprises a feeder automation terminal coverage rate and an intelligent power distribution room coverage rate;
the primary and secondary equipment fusion index data comprises a primary and secondary fusion equipment proportion;
the device electronic tag index data comprises a positioning and tracking device proportion.
7. The method according to claim 1, wherein the operation and maintenance index data includes: the method comprises the following steps that intelligent operation monitoring index data, lean quality control index data and intelligent equipment state monitoring index data of the power distribution network are obtained;
the intelligent operation monitoring index data of the power distribution network comprises the annual average power failure time of urban users, the annual average power failure times of the urban users and the consumption rate of distributed energy resources;
the lean quality control index data comprise power supply reliability, voltage qualification rate, line loss rate, three-phase unbalance, user average sag event times and gridding operation and maintenance service proportion;
the intelligent equipment state monitoring index data comprise state monitoring and overhaul coverage rate, distribution network equipment fault rate, 10kV fault tripping rate, distribution network live working rate, distribution network operation moving realization rate and overhead line intelligent patrol maintenance coverage rate.
8. The method according to claim 7, wherein the distribution network equipment failure rates include 110kV transformer failure rate, 110kV line failure rate, 10kV transformer failure rate, 10kV line failure rate, and switchgear failure rate.
9. The method according to claim 1, wherein the customer service index data comprises basic service index data and advanced service index data, and wherein:
the base service indicator data comprises: the method comprises the following steps of (1) third-party customer satisfaction, million customer complaint amount, intelligent electric meter coverage rate, low-voltage meter reading rate, first-aid repair power recovery in-place and timeliness rate and material electronic mapping coverage rate;
the advanced service index data includes: custom service occupancy, high-end customer green channel service coverage, and energy-saving diagnostic service coverage.
10. The method for monitoring the construction level of the primary distribution network according to claim 1, wherein the process of screening out key index data from the distribution network index data based on the partial least squares method comprises the following steps:
calculating a covariance matrix of the index data of the power distribution network;
calculating an eigenvalue of the covariance matrix and a corresponding orthogonalized unit eigenvector;
and obtaining a linear combination coefficient according to the eigenvalue of the covariance matrix and the corresponding orthogonalization unit eigenvector, calculating the principal component score of each index data according to the linear combination coefficient and a preset comprehensive index vector model, and screening out the key index data according to the principal component score of each index data.
11. A primary distribution network construction level monitoring apparatus, the apparatus comprising:
the data acquisition module is used for acquiring multiple groups of index data of the power distribution network in the monitoring area; the power distribution network index data comprises a network frame index data, an equipment index data, an operation and maintenance index data and a customer service index data;
the key index screening module is used for screening key index data from the power distribution network index data through a partial least square method;
and the quality information determining module is used for determining the quality information of the power distribution network in the monitoring area according to the key index data, wherein the quality information of the power distribution network is used for representing the construction level of the first-class power distribution network in the monitoring area.
12. A computer arrangement comprising a memory and a processor, the memory storing a computer program, wherein the processor when executing the computer program performs the steps of a method for monitoring the construction level of a primary distribution network according to any one of claims 1 to 10.
13. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of a method for monitoring the construction level of a primary distribution network according to any one of claims 1 to 10.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911106555.3A CN110991816A (en) | 2019-11-13 | 2019-11-13 | Construction level monitoring method and device for first-class power distribution network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911106555.3A CN110991816A (en) | 2019-11-13 | 2019-11-13 | Construction level monitoring method and device for first-class power distribution network |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110991816A true CN110991816A (en) | 2020-04-10 |
Family
ID=70083952
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911106555.3A Pending CN110991816A (en) | 2019-11-13 | 2019-11-13 | Construction level monitoring method and device for first-class power distribution network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110991816A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112285465A (en) * | 2020-10-15 | 2021-01-29 | 赵晔 | Electric energy quality on-line monitoring device based on intelligent algorithm |
| CN112541671A (en) * | 2020-12-07 | 2021-03-23 | 国网福建省电力有限公司 | Primary and secondary fusion power distribution network construction evaluation system based on multi-stage fuzzy comprehensive evaluation |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013226005A (en) * | 2012-04-23 | 2013-10-31 | Inst Nuclear Energy Research Rocaec | Distribution network power flow analysis system and method |
| CN103426120A (en) * | 2013-04-24 | 2013-12-04 | 华北电力大学 | Medium and low voltage power distribution network comprehensive evaluation method based on reliability |
| CN105719048A (en) * | 2016-01-05 | 2016-06-29 | 国网上海市电力公司 | Intermediate-voltage distribution operation state fuzzy integrated evaluation method based on principle component analysis method and entropy weight method |
| CN108428063A (en) * | 2017-11-29 | 2018-08-21 | 天津相和电气科技有限公司 | A kind of Establishment of integrated evaluation index system of one stream distribution network construction level |
| CN109359847A (en) * | 2018-10-08 | 2019-02-19 | 国网福建省电力有限公司电力科学研究院 | A kind of quantitative analysis method of Line Loss of Distribution Network System influence factor |
-
2019
- 2019-11-13 CN CN201911106555.3A patent/CN110991816A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013226005A (en) * | 2012-04-23 | 2013-10-31 | Inst Nuclear Energy Research Rocaec | Distribution network power flow analysis system and method |
| CN103426120A (en) * | 2013-04-24 | 2013-12-04 | 华北电力大学 | Medium and low voltage power distribution network comprehensive evaluation method based on reliability |
| CN105719048A (en) * | 2016-01-05 | 2016-06-29 | 国网上海市电力公司 | Intermediate-voltage distribution operation state fuzzy integrated evaluation method based on principle component analysis method and entropy weight method |
| CN108428063A (en) * | 2017-11-29 | 2018-08-21 | 天津相和电气科技有限公司 | A kind of Establishment of integrated evaluation index system of one stream distribution network construction level |
| CN109359847A (en) * | 2018-10-08 | 2019-02-19 | 国网福建省电力有限公司电力科学研究院 | A kind of quantitative analysis method of Line Loss of Distribution Network System influence factor |
Non-Patent Citations (2)
| Title |
|---|
| 王建军,宋香荣: "主成分分析", 《多元统计理论、实验与案例》 * |
| 雷才嘉 等: "一流城市配电网的灵活适应性评价指标及计算方法", 《供用电》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112285465A (en) * | 2020-10-15 | 2021-01-29 | 赵晔 | Electric energy quality on-line monitoring device based on intelligent algorithm |
| CN112541671A (en) * | 2020-12-07 | 2021-03-23 | 国网福建省电力有限公司 | Primary and secondary fusion power distribution network construction evaluation system based on multi-stage fuzzy comprehensive evaluation |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2023035499A1 (en) | Method and system for comprehensive evaluation of resilience of power distribution network | |
| Zhong et al. | Determining optimal inspection intervals in maintenance considering equipment aging failures | |
| Rodrigues et al. | Probabilistic assessment of available transfer capability based on Monte Carlo method with sequential simulation | |
| Anteneh et al. | Reliability enhancement of distribution substation by using network reconfiguration a case study at Debre Berhan Distribution Substation | |
| CN103150635B (en) | Power equipment O&M method | |
| Agajie et al. | Reliability enhancement and voltage profile improvement of distribution network using optimal capacity allocation and placement of distributed energy resources | |
| Chanda et al. | Quantifying resiliency of smart power distribution systems with distributed energy resources | |
| Falabretti et al. | A novel method for evaluating the resilience of distribution networks during heat waves | |
| CN103617447B (en) | The evaluation system of intelligent substation and evaluation methodology | |
| CN110991816A (en) | Construction level monitoring method and device for first-class power distribution network | |
| Lantharthong et al. | Techniques for reliability evaluation in distribution system planning | |
| Milanović et al. | Compound index for power quality evaluation and benchmarking | |
| Chen et al. | Risk-based composite power system vulnerability evaluation to cascading failures using importance sampling | |
| Roland et al. | Reliability prediction of Port Harcourt electricity distribution network using NEPLAN | |
| Romero et al. | Web based management system for power quality assessment and detection of critical zones | |
| McPhail et al. | A study of solar PV saturation limits for representative low voltage networks | |
| Melhorn et al. | Distribution system power quality assessment phase II: voltage sag and interruption analysis | |
| Golshanfard et al. | Sensitivity analysis of distribution system reliability for identifying the critical elements | |
| Akintola | Reliability evaluation of secondary distribution system in nigeria: a case study of Ayetoro 1 substation, Aguda, Lagos State | |
| Akintola et al. | A Critical Review of Distribution Substation System Reliability Evaluations | |
| Schoene et al. | Historical AMI Data for Distribution System State Estimator Deployment | |
| Handschin et al. | Novel Methods for the Condition Based Maintenance of Distribution Networks | |
| Idowu et al. | Reliability Improvement Study of a Distribution Network with Distributed Generation | |
| Hoshyarzadeh et al. | The impact of CLOD load model parameters on dynamic simulation of large power systems | |
| CN104361422A (en) | Power consumer power quality data collection method based on economic evaluation |
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 | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200923 Address after: 510620 Tianhe District, Guangzhou, Tianhe South Road, No. two, No. 2, No. Applicant after: Guangzhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd. Address before: 510620 Tianhe District, Guangzhou, Tianhe South Road, No. two, No. 2, No. Applicant before: GUANGZHOU POWER SUPPLY Co.,Ltd. |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200410 |