CN106570635B - Voltage qualification rate multidimensional analysis method - Google Patents
Voltage qualification rate multidimensional analysis method Download PDFInfo
- Publication number
- CN106570635B CN106570635B CN201610961979.8A CN201610961979A CN106570635B CN 106570635 B CN106570635 B CN 106570635B CN 201610961979 A CN201610961979 A CN 201610961979A CN 106570635 B CN106570635 B CN 106570635B
- Authority
- CN
- China
- Prior art keywords
- voltage
- data
- monitoring
- qualification rate
- type monitoring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012797 qualification Methods 0.000 title claims abstract description 42
- 238000004458 analytical method Methods 0.000 title claims abstract description 19
- 238000000034 method Methods 0.000 claims abstract description 11
- 238000001514 detection method Methods 0.000 claims abstract description 9
- 230000002159 abnormal effect Effects 0.000 claims abstract description 7
- 238000005553 drilling Methods 0.000 claims abstract description 4
- 238000012544 monitoring process Methods 0.000 claims description 82
- 238000005259 measurement Methods 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000000691 measurement method Methods 0.000 abstract 1
- 238000012545 processing Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 238000007619 statistical method Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 238000013441 quality evaluation Methods 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 238000003786 synthesis reaction 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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
-
- 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
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Quality & Reliability (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biodiversity & Conservation Biology (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a multidimensional analysis method for voltage qualification rate, and relates to the technical field of measurement methods for electrical parameters. The method comprises the following steps: displaying a corresponding index graph and a data list of the voltage detection data according to the category dimension, the unit dimension and the measuring point dimension; performing crossed fine-grained data drilling and displaying on voltage detection data of different dimensions; and placing the drilled and displayed unqualified voltage data into an abnormal data stack in a centralized manner, reminding in a centralized manner, and calculating the voltage qualification rate after carrying out a ratio according to the qualified voltage data and the overall voltage data. The method can realize inquiry and statistics aiming at the voltage conditions of different voltage grades and different areas, and alarms for the lines or the transformer areas with the voltage qualification rate not reaching the standard, so that the voltage conditions of all the lines and the transformer areas of the power grid can be comprehensively controlled, and the power supply reliability is guaranteed.
Description
Technical Field
The invention relates to the technical field of measuring methods of electrical parameters, in particular to a multidimensional analysis method of voltage qualification rate.
Background
The quality of the voltage of the power supply system is good, and the direct relation is whether the power supply system can safely operate and whether a user can safely use the power. Therefore, a great deal of research is carried out on voltage quality monitoring and analysis and processing of monitoring data at home and abroad, and some achievements are achieved.
The current state analysis of foreign voltage qualification rate index monitoring: research and application in the aspect of power quality control in developed countries have achieved remarkable results, and a routine mechanism has been established and formed from the expansion of a practical power theory, the establishment of a power quality evaluation index system, the general survey of power quality, the monitoring of user power quality and the like. The voltage monitoring system of the Australian off-line company adopts a method of collecting and displaying information about accident safety analysis off-limit of EMS by using accident analysis off-limit software so as to perform statistical analysis, thereby realizing the statistical analysis with monthly as a unit and being visually displayed by using graphs. In japan, active power filters have been widely used, and the maximum capacity of a parallel active power filter has reached 50MVA, which plays an important role in suppressing voltage flicker caused by an arc furnace and in ensuring voltage quality.
The current state analysis of the domestic voltage qualification rate index monitoring: for foreign countries, the research of the domestic voltage quality monitoring system starts late, and monitoring software has the defects of single function, weak automation, poor real-time performance and insufficient big data processing and analyzing capability in different degrees of functions. Therefore, the voltage quality monitoring system is still gradually perfected along with the informatization construction process. The Schottish Power supply office is used as an example for explanation.
The xiaoshan power supply bureau 2012 establishes a special work group for voltage quality management, and aims to establish a normalized voltage quality monitoring mechanism based on the principle of 'monitoring forcefully, optimizing a party' and 'uniformly commanding and packaging in different areas'. On the basis of ensuring that original 195C-class and D-class voltage monitoring points operate normally, the coverage of the monitoring points is further expanded, point distribution requirements, power grid layout and user properties are integrated, 56 monitoring points are newly added, the first end and the last end of a power distribution network and special points of important users and the like are monitored in a key mode, the whole user plane is monitored in a full-scale mode by means of an intelligent power consumption information acquisition system, the voltage trend is tracked, and a monitoring mode of ' point-to-surface ' and point-to-surface combination ' is formed. Meanwhile, the station implements a voltage quality dynamic regulation and control mechanism, comprehensively monitors data, related information such as a power grid structure, load distribution, load prediction and the like according to a classification and stepping principle, and makes a voltage quality regulation and control working plan in a rolling mode. According to the voltage deviation degree and the overall trend of the regional voltage, a short-course regulation mode such as transformer gear shifting, reactive equipment switching and the like and a long-course regulation mode such as transformer distribution and capacity increasing and the like are flexibly adopted, so that the continuous and high-quality voltage quality is ensured.
Disclosure of Invention
The invention aims to solve the technical problem of providing a multidimensional analysis method for the voltage qualification rate, which can realize inquiry and statistics aiming at the conditions of voltages in different voltage classes and different areas, and alarm the lines or transformer areas with the voltage qualification rate not reaching the standard, so that the voltage conditions of each line and transformer area of a power grid can be comprehensively controlled, and the power supply reliability can be ensured.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: a multidimensional analysis method for voltage qualification rate is characterized by comprising the following steps:
displaying a corresponding index graph and a data list of the voltage detection data according to the category dimension, the unit dimension and the measuring point dimension;
performing crossed fine-grained data drilling and displaying on voltage detection data of different dimensions;
and placing the drilled and displayed unqualified voltage data into an abnormal data stack in a centralized manner, reminding in a centralized manner, and calculating the voltage qualification rate after carrying out a ratio according to the qualified voltage data and the overall voltage data.
The further technical scheme is that when the category dimension is displayed: the voltage monitoring data collected by the monitor, the qualification rates of the metering points and the remote measuring points, the daily data and the monthly data are shown in a statistics way by synthesis, A, B, C, D, D-type cities and D-type rural areas, and the calculation mode of the qualification rate conforms to the requirements of the southern power grid company power system voltage quality and reactive power management standard.
The further technical scheme is that the analysis of the monthly-by-daily, yearly-by-monthly, multi-object and homonymous ring ratio is carried out on different classifications.
The further technical scheme is that the selected voltage category shows the voltage qualification rate data of the category in the current time month, year and current statistical time and the statistical time period of the day-ring ratio and the year-ring ratio, and the voltage qualification rate data are shown through a line graph.
The further technical scheme is that when the unit dimension is displayed:
and respectively counting the voltage qualification rate according to voltage category units, dates, measuring point types and counting calibers according to voltage data acquired by a monitor, measurement and EMS telemetering.
The further technical scheme is that when voltage monitoring is carried out, the voltage qualification rates of a transformer substation bus, a 10kV line and a distribution transformer area are monitored, all voltage levels from 220V to 500kV are covered, and a line or an area with the voltage qualification rate not reaching the standard is alarmed.
The further technical scheme is that the calculation indexes of the voltage qualified rate comprise:
the maximum voltage value, the average voltage value, the minimum voltage value, the number of effective data points, the number of over-limit data points, the total data points, the effective data ratio, the over-limit rate, the qualification rate, the maximum amplitude, the average amplitude and/or the minimum amplitude.
The further technical scheme is that the monitored voltage is divided into four types, namely A-type monitoring voltage, B-type monitoring voltage, C-type monitoring voltage and D-type monitoring voltage.
The further technical scheme is that 10kV bus voltage is A-type monitoring voltage, 20kV and 35kV special line users and 110kV and above users are B-type monitoring voltage, 20kV and 35kV non-special line users and 10kV users are C-type monitoring voltage, and 380/220V low voltage is used for D-type monitoring voltage.
The further technical scheme is that the A-type monitoring voltage is acquired through a voltage monitoring system, a dispatching SCADA and a metering automation system; the B-type monitoring voltage is acquired through a voltage monitoring system, a dispatching SCADA and a metering automation system; the C-type monitoring voltage is acquired through a voltage monitoring system and a metering automation system; the voltage at the head end of the transformer area of the D-type monitoring voltage is collected through a metering automatic system and a voltage monitoring system, and the voltage at the tail end of the transformer area is collected through the metering automatic system and field actual measurement.
Adopt the produced beneficial effect of above-mentioned technical scheme to lie in: the method is used for monitoring the voltage of four monitoring points of A type, B type, C type and D type accessed in a power grid, and further realizing the voltage qualification rate monitoring of a transformer substation bus, a 10kV line and a distribution transformer area according to the acquired data of relevant measurement, voltage monitoring, scheduling and the like. The monitoring covers each voltage class of 220V to 500kV, the voltage monitoring at 10kV and 380/220V user terminals is used as a key point, the voltage monitoring system carries out multidimensional analysis on the collected data through a voltage integration model and a big data technology, inquiry and statistics can be carried out aiming at the conditions of different voltage classes and voltages in different areas, and the alarm is carried out on the lines or the transformer areas with unqualified voltage qualification rate, so that the voltage conditions of each line and transformer area of the power grid can be comprehensively controlled, and the power supply reliability is guaranteed.
Drawings
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
FIG. 1 is a flow chart of a method according to an embodiment of the invention;
FIG. 2 is a classification chart of voltages in the method according to the embodiment of the present invention;
FIG. 3 is a voltage yield indicator monitoring graph (by category) according to an embodiment of the present invention;
FIG. 4 is a line graph of monthly daily pass rate in an embodiment of the present invention;
FIG. 5 is a line graph of monthly annual yield in an embodiment of the present invention;
FIG. 6 shows the daily pass-rates for multi-object analysis in an embodiment of the invention:
FIG. 7 is a graph of a comparison ring ratio yield analysis in an embodiment of the present invention;
FIG. 8 is a voltage yield indicator monitoring graph (in units) according to an embodiment of the present invention;
FIG. 9 is a voltage yield indicator monitoring chart (measured points) according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
In summary, as shown in fig. 1, the present invention discloses a multidimensional analysis method for voltage yield, which comprises the following steps:
s101: displaying a corresponding index graph and a data list of the voltage detection data according to the category dimension, the unit dimension and the measuring point dimension;
s102: performing crossed fine-grained data drilling and displaying on voltage detection data of different dimensions;
s103: and placing the drilled and displayed unqualified voltage data into an abnormal data stack in a centralized manner, reminding in a centralized manner, and calculating the voltage qualification rate after carrying out a ratio according to the qualified voltage data and the overall voltage data.
According to voltage quasi-real-time data (the voltage range is from 0.4kV to 550kV) provided by the voltage detection unified data platform, monitoring data are displayed in a chart form according to multiple dimensions of each time period (year, season, month, week, day, hour and minute), each voltage index (upper limit rate, lower limit rate, qualification rate and the like), each hierarchical region (network, province and city) and the like in the system. Meanwhile, an alarm information prompt is formed aiming at the abnormal data. The specific monitoring range and the required data source are shown in fig. 1 below.
The basic voltage data is classified by voltage class (A, B, C, D) as the main category, and then data monitoring is developed in the form of chart data comparison and the like corresponding to different dimensions. The personalized focus attention data can be independently displayed. And in the monitoring process, prompting abnormal data, and transferring information to an abnormal information stack for subsequent analysis functions to process. And monitoring data modeling is carried out based on models such as lines, loads, curves and plans in the CIM model. When the processing voltage qualification judgment is read, the description in the power quality supply voltage deviation is taken as a theoretical guidance.
Specifically, as shown in fig. 1, the monitored voltages are divided into four types, namely, a-type monitored voltage, B-type monitored voltage, C-type monitored voltage, and D-type monitored voltage. The 10kV bus voltage is A-type monitoring voltage, 20kV, 35kV special line users and 110kV and above users are B-type monitoring voltage, 20kV, 35kV non-special line users and 10kV users are C-type monitoring voltage, and 380/220V low voltage is used for D-type monitoring voltage.
The A-type monitoring voltage is acquired through a voltage monitoring system, a dispatching SCADA and a metering automation system; the B-type monitoring voltage is acquired through a voltage monitoring system, a dispatching SCADA and a metering automation system; the C-type monitoring voltage is acquired through a voltage monitoring system and a metering automation system; the voltage at the head end of the transformer area of the D-type monitoring voltage is collected through a metering automatic system and a voltage monitoring system, and the voltage at the tail end of the transformer area is collected through the metering automatic system and field actual measurement.
Voltage yield index-class dimension
As shown in fig. 3, the monitoring data acquired by the monitor, the qualification rates of the metering points and the remote measuring points, the daily data and the monthly data are statistically displayed in A, B, C, D, D-type cities and D-type rural areas, and the calculation mode of the qualification rate conforms to the requirements of the southern power grid company power system voltage quality and reactive power management standard.
And analyzing the different categories by month and day, by year and month, by multiple objects and by year-to-year ring ratio, selecting a certain category of voltage (only one category can be selected), displaying the qualification rate data of the current time month (statistical month, unnatural month) of the category, and displaying the qualification rate data by a line graph, as shown in fig. 4.
One class of voltage class (only one class can be selected) is selected, and the yield data of the current time year (statistical year) of the class is displayed through a line graph, as shown in fig. 5.
A certain class of voltage class (only one class can be selected) is selected, and the yield data of the current time (within the statistical time period) of the class is displayed through a line graph, as shown in fig. 6.
A certain class of voltage classes (only one class can be selected) is selected, and the yield data of the class of daily-ring ratios and the current time (within the statistical time period) of the same ratio can be displayed through a line graph, as shown in fig. 7.
Voltage yield index-unit dimension
According to voltage data acquired by a monitor, metering and EMS telemetering, voltage qualification rates are respectively counted according to voltage type (comprehensive, A type, B type, C type, D type, city and D type countryside) units, dates, measuring point types and statistical calibers, and data of various voltage qualification rates of 19 city departments under the Guangdong power grid can be clearly judged, as shown in FIG. 8.
Voltage qualification rate index-measuring point dimension
Under the condition that the monitoring point is selected, each voltage index is counted according to a counting period (year, season, month, week and day) or a self-defined time period, as shown in fig. 9.
The method aims at obtaining voltage data from a voltage monitoring system dispatching SCADA and a metering automation system, obtains voltage data of 10kV bus voltage, 20kV and 35kV private line users, 110kV and above users, 20kV and 35kV non-private line users, 10kV users and 380/220V low-voltage users at the head end and the tail end of a transformer area, displays the voltage data through visual graphs, displays voltage qualification rates and phase indexes of monitoring points from a monitor, metering and telemetering in a measuring point mode according to units and categories, performs statistics and analysis, judges current voltage quality, provides visual data display for power grid decision, and assists the power grid decision.
Claims (1)
1. The multidimensional analysis method for the voltage qualification rate is characterized by comprising the following steps:
displaying a corresponding index graph and a data list of the voltage detection data according to the category dimension, the unit dimension and the measuring point dimension;
performing crossed fine-grained data drilling and displaying on voltage detection data of different dimensions;
placing the drilled and displayed unqualified voltage data into an abnormal data stack in a centralized manner, reminding the unqualified voltage data in the centralized manner, and calculating the voltage qualification rate after performing a ratio according to the qualified voltage data and the overall voltage data;
category dimension display: carrying out classified statistical display on voltage monitoring data acquired by a monitor, the qualification rates of metering points and remote measuring points, daily data and monthly data, and analyzing monthly, yearly, multi-object and same-proportion ring ratios on different classifications; the selected voltage category of a certain class displays the current time month, year and voltage qualification rate data in the current statistical time of the class and the statistical time periods of the daily-to-ring ratio and the same ratio, and displays the voltage qualification rate data through a line graph;
when displaying in unit dimension: respectively counting the voltage qualification rate according to voltage category units, dates, measuring point types and counting calibers according to voltage data acquired by a monitor, metering and EMS telemetering;
when voltage monitoring is carried out, monitoring the voltage qualification rate of a transformer substation bus, a 10kV line and a distribution transformer area, covering each voltage class of 220V to 500kV, and alarming the line or the transformer area with the voltage qualification rate not reaching the standard;
the calculation indexes of the voltage qualified rate comprise:
the maximum voltage value, the average voltage value, the minimum voltage value, the number of effective data points, the number of over-limit data points, the total data points, the effective data ratio, the over-limit rate, the qualification rate, the maximum value amplitude, the average value amplitude and the minimum value amplitude;
the method comprises the following steps of dividing monitored voltages into four types, namely A-type monitoring voltage, B-type monitoring voltage, C-type monitoring voltage and D-type monitoring voltage; the 10kV bus voltage is A-type monitoring voltage, the voltages of 20kV, 35kV special line users and users above 110kV are B-type monitoring voltage, the voltages of 20kV, 35kV non-special line users and 10kV users are C-type monitoring voltage, and the voltage of 380/220V low-voltage users is D-type monitoring voltage;
the A-type monitoring voltage is acquired through a voltage monitoring system, a dispatching SCADA and a metering automation system; the B-type monitoring voltage is acquired through a voltage monitoring system, a dispatching SCADA and a metering automation system; the C-type monitoring voltage is acquired through a voltage monitoring system and a metering automation system; the voltage at the head end of the transformer area of the D-type monitoring voltage is collected through a metering automatic system and a voltage monitoring system, and the voltage at the tail end of the transformer area is collected through the metering automatic system and field actual measurement.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610961979.8A CN106570635B (en) | 2016-11-04 | 2016-11-04 | Voltage qualification rate multidimensional analysis method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610961979.8A CN106570635B (en) | 2016-11-04 | 2016-11-04 | Voltage qualification rate multidimensional analysis method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106570635A CN106570635A (en) | 2017-04-19 |
| CN106570635B true CN106570635B (en) | 2020-09-04 |
Family
ID=58535726
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610961979.8A Active CN106570635B (en) | 2016-11-04 | 2016-11-04 | Voltage qualification rate multidimensional analysis method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106570635B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108037343A (en) * | 2017-10-23 | 2018-05-15 | 国网北京市电力公司 | A kind of voltage monitoring Management System Data deepens analysis method |
| CN109376177B (en) * | 2018-09-30 | 2021-11-02 | 国网宁夏电力有限公司中卫供电公司 | Data drilling analysis method |
| CN110346661B (en) * | 2019-05-23 | 2022-07-01 | 广西电网有限责任公司 | Method and system for automatically inspecting abnormal user voltage |
| CN110726866B (en) * | 2019-10-24 | 2021-09-17 | 云南云电同方科技有限公司 | High-voltage-level voltage qualification rate monitoring method and device |
| CN111523780A (en) * | 2020-04-13 | 2020-08-11 | 广东电网有限责任公司 | Power supply efficiency analysis method and device, computer equipment and medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101707372A (en) * | 2009-11-13 | 2010-05-12 | 上海市电力公司 | Method for calculating and releasing rate of qualified power quality and voltage indexes |
| CN202548187U (en) * | 2012-03-27 | 2012-11-21 | 上海市电力公司 | Monitoring system of qualified rate of supply voltage of power grid |
| CN103077485A (en) * | 2013-02-20 | 2013-05-01 | 华东电网有限公司 | Multi-dimensional voltage deviation index method based on statistic analysis of historical information of power grid |
| CN103499731A (en) * | 2013-08-27 | 2014-01-08 | 广东电网公司电力科学研究院 | Supply voltage qualified rate comprehensive analysis method |
| CN103618383A (en) * | 2013-11-28 | 2014-03-05 | 国家电网公司 | Power distribution network monitoring and management system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101976827B (en) * | 2010-12-01 | 2013-04-10 | 江西省电力公司 | Method for identifying candidate prevention and control measure of self-adaptive external-environmental electric power system |
-
2016
- 2016-11-04 CN CN201610961979.8A patent/CN106570635B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101707372A (en) * | 2009-11-13 | 2010-05-12 | 上海市电力公司 | Method for calculating and releasing rate of qualified power quality and voltage indexes |
| CN202548187U (en) * | 2012-03-27 | 2012-11-21 | 上海市电力公司 | Monitoring system of qualified rate of supply voltage of power grid |
| CN103077485A (en) * | 2013-02-20 | 2013-05-01 | 华东电网有限公司 | Multi-dimensional voltage deviation index method based on statistic analysis of historical information of power grid |
| CN103499731A (en) * | 2013-08-27 | 2014-01-08 | 广东电网公司电力科学研究院 | Supply voltage qualified rate comprehensive analysis method |
| CN103618383A (en) * | 2013-11-28 | 2014-03-05 | 国家电网公司 | Power distribution network monitoring and management system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106570635A (en) | 2017-04-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106570635B (en) | Voltage qualification rate multidimensional analysis method | |
| CN106570784B (en) | Voltage monitoring integrated model | |
| CN109713793B (en) | Power supply online state evaluation system and method for transformer substation | |
| CN109460833B (en) | Method and system for processing equipment data and repair work order data of distribution network fault | |
| CN112104083B (en) | Power grid production command system based on situation awareness | |
| CN201789341U (en) | Monitoring system of intelligent micro-grid | |
| CN110333402B (en) | User voltage abnormity sensing method and system based on edge calculation | |
| CN107194574B (en) | Power grid security risk assessment method based on load loss | |
| CN104809665B (en) | A kind of power distribution network method for early warning based on improvement Apriori algorithm | |
| CN110928866A (en) | Line topology checking method and system based on power failure information big data analysis | |
| CN105654393A (en) | Energy efficiency management service system of power distribution network area | |
| CN108490285B (en) | Low-voltage transformer area line loss rate calculation method based on voltage drop method | |
| CN108037343A (en) | A kind of voltage monitoring Management System Data deepens analysis method | |
| CN112288303A (en) | Method and device for determining line loss rate | |
| CN107944680A (en) | A kind of substation's electric energy balance monitoring method based on intelligent electric energy meter | |
| CN104269040A (en) | Power utilization information acquisition and orderly power utilization management system | |
| CN107944659B (en) | Method and device for automatically generating plant station monitoring system report | |
| CN106340963B (en) | A kind of power distribution room intelligence generation dimension monitoring system | |
| CN111105174B (en) | Power distribution network power supply voltage qualification rate layered evaluation method and system | |
| CN102684307A (en) | Information intelligent layering and propelling method for comprehensively and automatically monitoring centralized control station and transformer substation | |
| CN108429253A (en) | The construction method of the load user property model of multi-level collaborative | |
| CN206211518U (en) | A kind of photovoltaic case becomes uses comprehensive monitoring protection system | |
| CN105373893A (en) | Scheduling automation system model definition assistant decision-making and risk assessment method | |
| CN115995880A (en) | Comprehensive monitoring and analyzing method and system for multidimensional state of power distribution automation terminal | |
| CN108038569A (en) | A kind of grid-connected power predicating method of distributed photovoltaic and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |