CN113935599A - Visual electric energy quality evaluation method - Google Patents
Visual electric energy quality evaluation method Download PDFInfo
- Publication number
- CN113935599A CN113935599A CN202111149714.5A CN202111149714A CN113935599A CN 113935599 A CN113935599 A CN 113935599A CN 202111149714 A CN202111149714 A CN 202111149714A CN 113935599 A CN113935599 A CN 113935599A
- Authority
- CN
- China
- Prior art keywords
- quality evaluation
- power quality
- node
- evaluation index
- evaluation
- 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
- 238000013441 quality evaluation Methods 0.000 title claims abstract description 56
- 238000000034 method Methods 0.000 title claims abstract description 22
- 230000000007 visual effect Effects 0.000 title claims abstract description 16
- 238000011156 evaluation Methods 0.000 claims abstract description 41
- 238000012544 monitoring process Methods 0.000 claims abstract description 27
- 238000009826 distribution Methods 0.000 claims abstract description 25
- 238000005315 distribution function Methods 0.000 claims description 8
- 238000012800 visualization Methods 0.000 abstract description 7
- 238000004364 calculation method Methods 0.000 abstract description 5
- 238000013139 quantization Methods 0.000 description 6
- 239000003086 colorant Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
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
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/82—Energy audits or management systems therefor
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Databases & Information Systems (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Remote Sensing (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Operations Research (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The application discloses a visual electric energy quality evaluation method, wherein the method comprises the following steps: firstly, acquiring a topological graph of a target distribution network region and a virtual region map of the target distribution network region; then determining the geographic positions of the nodes and the load points in the topological graph on the virtual platform area map; further acquiring voltage monitoring data of the node within preset evaluation time; calculating the power quality evaluation index evaluation result of the node by combining a power quality evaluation index system and the voltage monitoring data; and finally, visualizing the electric energy quality evaluation index evaluation result by combining a GIS system and the geographic position. The method has the advantages of simple and clear visualization degree, simple data calculation and easy operation, evaluates different electric energy quality indexes through subentry evaluation and comprehensive evaluation, and performs visual display. In addition, the system can be convenient for a user to conveniently and rapidly acquire the geographic information of the nodes through the virtual map of the distribution room.
Description
Technical Field
The application relates to the field of power quality of a power distribution network, in particular to a visual power quality evaluation method.
Background
An important index of voltage for representing the power quality is the most direct power quality index with the widest influence range and the longest duration; the power supply voltage refers to line voltage or phase voltage at a power supply point, namely voltage at a power supply enterprise and power user property dividing point; the quality of power supply and electric energy directly influences various aspects of the economic society, such as safe and stable operation of a power grid, industrial and agricultural safety production, product quality, residential life and electricity utilization and the like.
At present, although there is a certain research on the evaluation of the power quality, with the gradual deepening of the construction of the smart grid, the large-area use of the load monitoring terminal, the distribution transformer monitoring terminal and the smart meter with the voltage monitoring function becomes a necessary condition for realizing the accurate evaluation of the power quality; at present, the electric energy quality evaluation index is obtained, the data presentation mode is professional, non-professional personnel are difficult to understand, and a user is difficult to quickly and intuitively know the actual situation.
Disclosure of Invention
The application provides a visual electric energy quality evaluation method, which comprises the steps of firstly obtaining a topological graph of a target distribution network platform area and a virtual platform area map of the target distribution network platform area; then determining the geographic positions of the nodes and the load points in the topological graph on the virtual platform area map; further acquiring voltage monitoring data of the node within preset evaluation time; calculating the power quality evaluation index evaluation result of the node by combining a power quality evaluation index system and the voltage monitoring data; and finally, visualizing the electric energy quality evaluation index evaluation result by combining a GIS system and the geographic position. The invention has simple and definite visualization degree, simple data calculation and easy operation, evaluates different electric energy quality indexes through subentry evaluation and comprehensive evaluation, and can quickly display through visualization.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a visual electric energy quality evaluation method comprises the following steps:
acquiring a topological graph of a target distribution network area and a virtual area map of the target distribution network area;
determining the geographic positions of nodes and load points in the topological graph on the virtual platform area map;
acquiring voltage monitoring data of the node within preset evaluation time;
calculating the power quality evaluation index evaluation result of the node by combining a power quality evaluation index system and the voltage monitoring data;
and visualizing the electric energy quality evaluation index evaluation result by combining a GIS system and the geographic position.
Optionally, before obtaining the voltage monitoring data of the node within the preset evaluation time, the method further includes:
and determining a power quality evaluation index system.
Optionally, the calculating a power quality evaluation index evaluation result of the node by combining the power quality evaluation index system and the voltage monitoring data includes:
dividing the quality grade of the power quality evaluation index system according to a preset voltage quality evaluation index standard;
calculating a probability distribution function of the voltage monitoring data;
and determining the power quality evaluation index evaluation result of the node according to the probability distribution function and the quality grade.
Optionally, the power quality evaluation index system includes: single index and comprehensive index.
The present application provides a computer-readable storage medium having a program stored thereon, the program being executable on a computer to perform the aforementioned method.
From the above techniques: firstly, acquiring a topological graph of a target distribution network region and a virtual region map of the target distribution network region; then determining the geographic positions of the nodes and the load points in the topological graph on the virtual platform area map; further acquiring voltage monitoring data of the node within preset evaluation time; calculating the power quality evaluation index evaluation result of the node by combining a power quality evaluation index system and the voltage monitoring data; and finally, visualizing the electric energy quality evaluation index evaluation result by combining a GIS system and the geographic position. The method has the advantages of simple and clear visualization degree, simple data calculation and easy operation, evaluates different electric energy quality indexes through subentry evaluation and comprehensive evaluation, and performs visual display. In addition, the system can be convenient for a user to conveniently and rapidly acquire the geographic information of the nodes through the virtual map of the distribution room.
Drawings
Fig. 1 is a schematic flow chart of an embodiment of a visualized power quality evaluation method in the present application.
Detailed Description
The embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
The embodiments of the present disclosure are described below with specific examples, and other advantages and effects of the present disclosure will be readily apparent to those skilled in the art from the disclosure in the specification. It is to be understood that the described embodiments are merely illustrative of some, and not restrictive, of the embodiments of the disclosure. The disclosure may be embodied or carried out in various other specific embodiments, and various modifications and changes may be made in the details within the description without departing from the spirit of the disclosure. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
Example one
As shown in fig. 1, an embodiment of a visualized power quality evaluation method is a schematic flow chart, where the method includes:
101. acquiring a topological graph of a target distribution network area and a virtual area map of the target distribution network area;
in the application, the topological graph of the target distribution network platform area comprises a root node, a main feeder line and a branch line; wherein the root node, the main feeder line and the branch line form a tree topology; the root node is corresponding to a power supply of a target distribution network region, and the node is a starting point of a tree topology; the main feeder line is a trunk of a tree topology; the nodes are distributed in the main feeder line and are the starting points of the branch lines, and the loads are positioned at the tail ends of the branch lines.
Marking each node and load point of the target power distribution area correspondingly in the virtual map, and connecting the nodes and the load points by lines with different attributes according to whether the line in which the node is located is a main feeder line or a branch line; the lines with different attributes comprise thickness and color of the lines and virtual and real attributes of the lines.
Since the node power quality evaluation index evaluation result needs to be visualized, the topological graph and the virtual platform area map are obtained as visualization dependence bases.
In this embodiment, the topology map of the target distribution network platform region includes at least one tree topology, which is not specifically limited herein.
102. Determining the geographic positions of nodes and load points in the topological graph on the virtual platform area map;
after the topological graph and the virtual distribution area map of the target power distribution network are obtained, all nodes and all load points on the topological graph are determined to correspond to the geographic positions on the virtual distribution area map, wherein the geographic positions comprise geographic information such as point points, directions, distances and the like.
103. Determining a power quality evaluation index system, wherein the power quality evaluation index system comprises: single index and comprehensive index;
since the evaluation result of the node power quality evaluation index needs to be obtained, a power quality evaluation index system needs to be determined in advance. In the application, the power quality evaluation index system comprises a single index and a comprehensive index; wherein, the single index is the single power quality index of the node, and the comprehensive index is all the single power quality indexes of the node to carry out comprehensive evaluation; in the present application, the power quality indicators include a voltage deviation rate, a voltage fluctuation value, a voltage flicker, a waveform quality (a harmonic distortion rate), a three-phase voltage unbalance, and a frequency deviation.
104. Acquiring voltage monitoring data of a node within preset evaluation time;
after the power quality evaluation index system is determined, voltage monitoring data of all nodes in the topological graph in a preset lake time period are obtained, and the voltage monitoring data are used for providing a data basis for judging whether the power quality indexes of the nodes reach the standard or not.
In the present application, the preset evaluation time period may be 1h, may also be 24h, and may also be any one specific time period, which is not specifically limited herein.
105. Dividing the quality grade of the power quality evaluation index system according to a preset voltage quality evaluation index standard;
after determining the power quality evaluation index system, dividing each power quality index into N grades according to the national standard of each single index of voltage quality, wherein N is a positive integer greater than or equal to 2.
In the application, the higher the grade is, the smaller the N value is, and the higher the quality of the node electric energy is; the quality of the node electrical energy may also be higher if the level is higher and the N value is larger, and is not specifically limited herein.
106. Calculating a probability distribution function of the voltage monitoring data;
after the quality grades are determined, calculating the probability distribution of the voltage monitoring data at each grade to obtain a probability distribution function Pk and a probability distribution curve thereof: where Pk is f (k/T; where f (k) is the time that the energy quality value is in the k class, T is the total time of evaluation, and k is equal to or less than N.
107. Determining the power quality evaluation index evaluation result of the node according to the probability distribution function and the quality grade;
after the probability distribution function is determined, the expected expectation E (K) and the standard deviation S (K) of the probability distribution are firstly obtained, and the per-unit values of the expectation E (K) and the standard deviation S (K) are obtained by using a preset reference value; the method specifically comprises the following steps:
it is desired that: e (k) ═ Σ k × Pk;
calculating per unit values of the expected value and the standard deviation, which are respectively marked as E '(K) and P' (K), by dividing the obtained expected value and standard deviation by the corresponding reference values according to the reference values EB (K) and SB (K) of the expected value and standard deviation determined by scoring; calculating a vector sum Q of the expected value and the standard deviation; namely, it is
Normalizing the vector sum:the single index quantization result of the electric energy quality is obtained.
After the single index evaluation result of the power quality is calculated, a comprehensive index evaluation result is further calculated, specifically:
substituting each calculated single index of the node into a vector algebra of a six-dimensional Euler space, and obtaining a vector sum which is a comprehensive index value quantization result QE:
when the single index quantization result and the comprehensive index value quantization result QE are less than or equal to 1, the voltage quality index of the node or the load is qualified, and when the single index quantization result and the comprehensive index value quantization result QE are greater than 1, the voltage quality of the node or the load is unqualified;
the quantitative index and the single power quality index are correspondingly classified into N grades.
108. And visualizing the evaluation result of the power quality evaluation index by combining the GIS system and the geographic position.
And after the electric energy quality evaluation index result is obtained through calculation, a GIS system is combined with the geographical position in the step 101, a visual result is drawn through different color lines, and the visual result is displayed to a user.
In this embodiment, the drawing of the visualization result through different color lines includes: determining the color of the node to be displayed according to the corresponding relation between the different grades of the power quality evaluation indexes and the displayed color; constructing a visual monitoring image on the virtual map; the colors of different nodes in the visual monitoring image are the colors corresponding to the corresponding power quality grades; the visual monitoring image can select different electric energy quality indexes to carry out visual display.
The method has the advantages of simple and clear visualization degree, simple data calculation and easy operation, evaluates different electric energy quality indexes through subentry evaluation and comprehensive evaluation, and performs visual display. In addition, the system can be convenient for a user to conveniently and rapidly acquire the geographic information of the nodes through the virtual map of the distribution room.
The above description is for the purpose of illustrating embodiments of the invention and is not intended to limit the invention, and it will be apparent to those skilled in the art that any modification, equivalent replacement, or improvement made without departing from the spirit and principle of the invention shall fall within the protection scope of the invention.
Claims (4)
1. A visual electric energy quality evaluation method is characterized by comprising the following steps:
acquiring a topological graph of a target distribution network area and a virtual area map of the target distribution network area;
determining the geographic positions of nodes and load points in the topological graph on the virtual platform area map;
acquiring voltage monitoring data of the node within preset evaluation time;
calculating the power quality evaluation index evaluation result of the node by combining a power quality evaluation index system and the voltage monitoring data;
and visualizing the electric energy quality evaluation index evaluation result by combining a GIS system and the geographic position.
2. The power quality evaluation method according to claim 1, wherein before the obtaining of the voltage monitoring data of the node within a preset evaluation time, the method further comprises:
and determining a power quality evaluation index system.
3. The power quality evaluation method according to claim 2, wherein the calculating of the power quality evaluation index evaluation result of the node by combining the power quality evaluation index system and the voltage monitoring data includes:
dividing the quality grade of the power quality evaluation index system according to a preset voltage quality evaluation index standard; calculating a probability distribution function of the voltage monitoring data;
and determining the power quality evaluation index evaluation result of the node according to the probability distribution function and the quality grade.
4. The power quality evaluation method according to any one of claims 1 to 3, wherein the power quality evaluation index system includes: single index and comprehensive index.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111149714.5A CN113935599A (en) | 2021-09-29 | 2021-09-29 | Visual electric energy quality evaluation method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111149714.5A CN113935599A (en) | 2021-09-29 | 2021-09-29 | Visual electric energy quality evaluation method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113935599A true CN113935599A (en) | 2022-01-14 |
Family
ID=79277416
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202111149714.5A Pending CN113935599A (en) | 2021-09-29 | 2021-09-29 | Visual electric energy quality evaluation method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113935599A (en) |
-
2021
- 2021-09-29 CN CN202111149714.5A patent/CN113935599A/en active Pending
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110705107B (en) | Power distribution network voltage evaluation method, system, equipment and storage medium | |
US20140156094A1 (en) | Sigma algebraic approximants as a diagnostic tool in power networks | |
WO2012002001A1 (en) | Power control method, program, and power control device | |
CN103150600A (en) | Safety analyzing system of power network | |
CN109670675A (en) | Charging pile evaluation of running status method and device | |
CN108710992A (en) | A kind of demand response participates in the appraisal procedure of power grid peak load shifting effect | |
US11526638B1 (en) | Techniques for generating one or more scores and/or one or more corrections for a digital twin representing a utility network | |
CN112288303A (en) | Method and device for determining line loss rate | |
CN111476427A (en) | Low-voltage distribution area topology identification method and identification device | |
CN109242722A (en) | Platform area line loss on-line monitoring method, system and terminal device | |
CN116151776B (en) | Power distribution line power protection management method and system and electronic equipment | |
CN110555607A (en) | method, terminal and storage medium for calculating and prompting peak load shifting index of power consumer | |
CN106443276A (en) | Radio interference computing method and radio interference computing system for alternating-current high-voltage multi-loop electric transmission line | |
CN106229978A (en) | The pre-judging method of platform district low-voltage problem and system | |
CN113935599A (en) | Visual electric energy quality evaluation method | |
CN114994401B (en) | Line loss abnormity detection method and device | |
CN111401731A (en) | Risk control aid decision-making method and system based on artificial intelligence learning | |
US20220391504A1 (en) | Leakage Measurement Error Compensation Method and System Based on Cloud-Edge Collaborative Computing | |
CN114996635A (en) | Power distribution network parameter determination method, device, equipment and storage medium | |
CN107169245B (en) | A kind of unstability visual analysis method of electric analog data variable pair | |
CN112835647B (en) | Application software configuration method, configuration device, storage medium and electronic device | |
CN115186975A (en) | Power grid line loss management method and system based on service center | |
CN113780777A (en) | Comparison analysis method for synchronous line loss and theoretical line loss | |
CN114139862A (en) | Large data-based distribution room line loss analysis monitoring system and analysis method thereof | |
JP6669844B1 (en) | Information processing apparatus, information processing method, and program |
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 |