CN104215856B - A kind of bulk power grid dynamic check method of electric energy value - Google Patents
A kind of bulk power grid dynamic check method of electric energy value Download PDFInfo
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- CN104215856B CN104215856B CN201410458170.4A CN201410458170A CN104215856B CN 104215856 B CN104215856 B CN 104215856B CN 201410458170 A CN201410458170 A CN 201410458170A CN 104215856 B CN104215856 B CN 104215856B
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Abstract
The invention discloses a kind of bulk power grid dynamic check method of electric energy value, comprise the following steps: step 1: set up and include that internal association is checked, sequential correlation is checked and network balance is checked dynamically checks model；Step 2: energy data, Power x Time integration data and the metering device real-time recorded data of wide area electric flux examining system collection are input in system database；Step 3: the energy data input of input in step 2 to dynamically checking in model, is carried out internal association check by system database respectively, sequential correlation is checked and network balance is checked；Check result is transferred to web page display server and issues by dynamic check model.The present invention provides effectively, bulk power grid energy data method of calibration accurately, finds metering device and the collecting device of operation exception in bulk power grid in time, it is achieved that the whole network electric energy balance dynamically monitors, it is ensured that accuracy that wide area electric energy measures and reliability.
Description
Technical field
The invention belongs to power information acquisition technique field, particularly to a kind of bulk power grid dynamic check method of electric energy value.
Background technology
Domestic wide area electric flux examining system cover send out, defeated, become, join, with links, the data volume of collection is big, but is subject to
The impact of the factors such as metering device and collecting device exception, communication abnormality, data accuracy and reliability are difficult to ensure that.Mesh
Front shortage effective magnanimity energy data automatic Check function and means, data can not get checking, it is difficult to monitoring and metering device
With collecting device running status, it is impossible to meet electric-power metering to the high accuracy of energy data and high reliability request.
Summary of the invention
Goal of the invention: present invention aims to the deficiencies in the prior art, it is provided that one ensure that wide area electric energy
The accuracy measured and the bulk power grid dynamic check method of electric energy value of reliability.
Technical scheme: the present invention provides a kind of bulk power grid dynamic check method of electric energy value, comprises the following steps:
Step 1: set up include internal association check, sequential correlation check and network balance check dynamically check model；
Step 2: energy data, Power x Time integration data and the metering device of wide area electric flux examining system collection are remembered in real time
Record data are input in system database；
Step 3: the energy data input of input in step 2 to dynamically checking in model, is carried out by system database respectively
Internal association is checked, sequential correlation is checked and network balance is checked；Dynamically check model and check result is transferred to webpage exhibition
Show that server is issued；
Wherein, energy data is checked based on described internal association checks self incidence relation between electric energy value accurate
Property；
Described sequential correlation is checked according to the relation gathered between data sequencing and value, uses slippage balance to check skill
Art checks energy data accuracy；
The balance check of described network establishes major-minor table electric quantity balancing, lateral balance, bus balance, distribution line are put down by circuit
Weighing apparatus, the equilibrium relation model of power distribution station balance carry out accuracy check to energy data.
Further, described internal association is checked and is included that the association of total peak valley is checked, had idle association check to associate with power electricity
Check；
Wherein, the method that the association of described total peak valley is checked is: wide area electric flux examining system acquires execution two periods timesharing electricity
Information about power when electricity and paddy when total electricity of valency user, peak；If total electricity is equal to the sum of electricity when electricity during peak and paddy,
The energy data then gathered is normal；If total electricity is not equal to the sum of electricity when electricity and paddy during peak, the then energy data gathered
Abnormal；
The described method having idle association to check is: the active power of wide area electric flux examining system Real-time Collection user and idle
Power, if user's active power of Real-time Collection is more than reactive power, then the energy data gathered is normal；If Real-time Collection
User's reactive power more than active power, then the energy data gathered is abnormal；
The method that the association of described power electricity is checked is:
(if | Power x Time integration data-collection energy data |/collection energy data) × 100%≤5%, then gather
Energy data is normal；(if | Power x Time integration data-energy data |/energy data) × 100% ＞ 5%, then gather
Energy data is abnormal.
Further, the method that described sequential correlation is checked is:
(if electricity-yesterday electricity ＞ 0 today) and (today electricity-yesterday electricity≤user working capacity × 24), then
The energy data gathered is normal；
(if today electricity-yesterday electricity≤0) or (today electricity-electricity ＞ user yesterday working capacity × 24), then
The energy data gathered is abnormal.
Further, the method that described network balance is checked is: major-minor table electric quantity balancing model is by the electricity between major-minor table
Verification, draws metering device difference whether between normal operation, and two pieces of table variables；
(if | master meter electricity-auxiliary table electricity |/auxiliary table electricity) × 100%≤1%, then the energy data gathered is normal；
(if | master meter electricity-auxiliary table electricity |/auxiliary table electricity) × 100% > 1%, then the energy data gathered is abnormal.
Lateral balance, bus balance, distribution line balance and power distribution station balance are checked and are inputted according to electric energy in electrical network by circuit
Stoichiometric point electric energy meter and the electric quantity balancing relation of circuit offside electric energy meter, real-time dynamic monitoring the whole network electric energy balance, in real time
The line loss situation of monitoring and metering table meter, circuit operation conditions and transmission line of electricity, by the calculating to line loss per unit, it is judged that be
No there are metering device operation exception or user power utilization abnormal conditions；
[if (input electricity-offside output electricity)/input electricity] × 100%≤6%, the then operation of metering device, user
Electricity consumption situation is the most normal；
[if (input electricity-offside output electricity)/input electricity] × 100% ＞ 6%, the then operation of metering device or user
Electricity consumption situation exists abnormal.
Operation principle: the dynamically check model use network-wide basis electric energy flow population equilibrium principle in the present invention, uses long-pending
Point, the internal association check of the Technology design such as slippage, sequential correlation is checked and network balance is checked triple data and checked algorithm
Carry out the check that electricity is multi-form；Simultaneously by web page display interface real-time release analytical data, map out bulk power grid in time
Metering device running status, it is ensured that the reliability of bulk power grid continuous data, provides technical support for bulk power grid management through quantification.
Beneficial effect: compared with prior art, the present invention provides effectively, bulk power grid energy data method of calibration accurately,
Find metering device and the collecting device of operation exception in bulk power grid in time, it is achieved that the whole network electric energy balance dynamically monitors,
Ensure that accuracy and reliability that wide area electric energy measures.
Accompanying drawing explanation
Fig. 1 is the physical arrangement schematic diagram of the present invention.
Fig. 2 is the simulation topological diagram of embodiment.
Detailed description of the invention
Below technical solution of the present invention is described in detail, but protection scope of the present invention is not limited to described enforcement
Example.
Embodiment 1: as it is shown in figure 1, the physical arrangement of the bulk power grid dynamic check method of electric energy value of the present invention is, bag
Include and dynamically check server, web page display server, dynamically check mold portion and be deployed on dynamic check in server.System number
According to storehouse comprises energy data, Power x Time integration data and the metering device real time record that wide area electric flux examining system gathers
Data.Triple dynamic check models obtain the energy data of collection, Power x Time integration data, meter from system database
The information such as amount real-time recorded data, balance triple check algorithms, analytical data by internal association, sequential correlation and network
Exact correspondence, and the result of analysis is transferred to web page display server with visual form of all kinds, carries out
Homepage Publishing, makes metrological personnel can find the faults such as power loss, metering device exception in time.
Fig. 2 is the schematic diagram in a Ge Tai district, comprises and specially becomes user and ordinarily resident user, and metering device 1 is arranged on platform district
Electric energy input stoichiometric point, metering device 2,3,4,5,6 is arranged on circuit offside, and wherein metering device 5 is master meter,
6 is auxiliary table.The data first passing through system acquisition carry out internal association and sequential to metering device 1,2,3,4,5,6
Association is checked, and finds that metering device 1,2,3,4,5,6 these two aspects does not exist exception, secondly by metering dress
Put the collection of 5,6 energy datas, obtain registration and be respectively 60829kWh, 58315kWh, calculate according to decision condition
(60829-58315)/58315 × 100%=4.31% ＞ 1%, the energy data the most specially becoming user 2 metering is inaccurate.Meter
Collect after amount device 5 and 6 process the energy data of 1,2,3,4,5 be 109426kWh, 29854kWh, 4259kWh,
5481kWh, 61426kWh, calculate according to decision condition
(109426-29854-4259-5481-61426)/109426 × 100%=7.69% ＞ 6%, Ze Gaitai district line loss is abnormal,
It is operation or the user power utilization situation of metering device.
Claims (1)
1. the bulk power grid dynamic check method of electric energy value, it is characterised in that: comprise the following steps:
Step 1: set up include internal association check, sequential correlation check and network balance check dynamically check model；
Step 2: energy data, Power x Time integration data and the metering device of wide area electric flux examining system collection are remembered in real time
Record data are input in system database；
Step 3: the energy data input of input in step 2 to dynamically checking in model, is carried out by system database respectively
Internal association is checked, sequential correlation is checked and network balance is checked；Dynamically check model and check result is transferred to webpage exhibition
Show that server is issued；
Wherein, energy data is checked based on described internal association checks self incidence relation between electric energy value accurate
Property；
Described sequential correlation is checked and is used slippage balance check to check energy data, and described slippage balance is checked as depending on
Energy data accuracy is checked according to gathering the stability of relation between data sequencing and value；
The balance check of described network establishes major-minor table electric quantity balancing, lateral balance, bus balance, distribution line are put down by circuit
Weighing apparatus, the electric energy balance relation of power distribution station balance carry out accuracy check to energy data；
Described internal association is checked and is included that the association of total peak valley is checked, had idle association check to associate check with power electricity；
Wherein, the method that the association of described total peak valley is checked is: wide area electric flux examining system acquires execution two periods timesharing electricity
Information about power when electricity and paddy when total electricity of valency user, peak；If total electricity is equal to the sum of electricity when electricity during peak and paddy,
The energy data then gathered is normal；If total electricity is not equal to the sum of electricity when electricity and paddy during peak, the then energy data gathered
Abnormal；
The described method having idle association to check is: the active power of wide area electric flux examining system Real-time Collection user and idle
Power, if user's active power of Real-time Collection is more than reactive power, then the energy data gathered is normal；If Real-time Collection
User's reactive power more than active power, then the energy data gathered is abnormal；
The method that the association of described power electricity is checked is: if
(| Power x Time integration data-collection energy data |/collection energy data) × 100%≤5%, then the energy data gathered
Normally；(if | Power x Time integration data-energy data |/energy data) × 100% ＞ 5%, then the energy data gathered is different
Often；
The method that described slippage balance is checked is:
(if electricity-yesterday electricity ＞ 0 today) and (today electricity-yesterday electricity≤user working capacity × 24), then
The energy data gathered is normal；
(if today electricity-yesterday electricity≤0) or (today electricity-electricity ＞ user yesterday working capacity × 24), then
The energy data gathered is abnormal；
The method that described network balance is checked is: major-minor table electric quantity balancing model is verified by the electricity between major-minor table,
Go out metering device difference whether between normal operation, and two pieces of table variables；
If (master meter electricity-auxiliary table electricity |/auxiliary table electricity) × 100%≤1%, then the energy data gathered is normal；
If (master meter electricity-auxiliary table electricity |/auxiliary table electricity) × 100% > 1%, then the energy data gathered is abnormal；
Lateral balance, bus balance, distribution line balance and power distribution station balance are checked and are inputted according to electric energy in electrical network by circuit
Stoichiometric point electric energy meter and the electric quantity balancing relation of circuit offside electric energy meter, real-time dynamic monitoring the whole network electric energy balance, in real time
The line loss situation of monitoring and metering table meter, circuit operation conditions and transmission line of electricity, by the calculating to line loss per unit, it is judged that be
No there are metering device operation exception or user power utilization abnormal conditions；
[if (input electricity-offside output electricity)/input electricity] × 100%≤6%, the then operation of metering device or user
Electricity consumption situation is the most normal；
[if (input electricity-offside output electricity)/input electricity] × 100% ＞ 6%, the then operation of metering device or user
Electricity consumption situation exists abnormal.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109408186A (en) * | 2018-10-30 | 2019-03-01 | 国网上海市电力公司 | Data visualization for emergency capability training integrates display systems |
| CN111177216B (en) * | 2019-12-23 | 2024-01-05 | 国网天津市电力公司电力科学研究院 | Association rule generation method and device for comprehensive energy consumer behavior characteristics |
| CN113034307B (en) * | 2021-03-05 | 2023-02-24 | 西安热工研究院有限公司 | Data acquisition method for power enterprise |
| CN113077240A (en) * | 2021-04-20 | 2021-07-06 | 广东电网有限责任公司 | Automatic checking method, device and equipment of electric energy data and storage medium |
| CN113780777A (en) * | 2021-08-30 | 2021-12-10 | 国网浙江省电力有限公司电力科学研究院 | Comparison analysis method for synchronous line loss and theoretical line loss |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102116857A (en) * | 2010-12-31 | 2011-07-06 | 江苏省电力公司 | Method for checking electric quantity at power grid gate |
| CN102338835A (en) * | 2011-08-17 | 2012-02-01 | 惠州中城电子科技有限公司 | Power quality dynamic monitoring system |
| CN102901868A (en) * | 2012-09-14 | 2013-01-30 | 安徽省电力公司 | Method for electric energy acquisition system data checking |
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Patent Citations (4)
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|---|---|---|---|---|
| CN102116857A (en) * | 2010-12-31 | 2011-07-06 | 江苏省电力公司 | Method for checking electric quantity at power grid gate |
| CN102338835A (en) * | 2011-08-17 | 2012-02-01 | 惠州中城电子科技有限公司 | Power quality dynamic monitoring system |
| CN102901868A (en) * | 2012-09-14 | 2013-01-30 | 安徽省电力公司 | Method for electric energy acquisition system data checking |
| CN103577695A (en) * | 2013-11-07 | 2014-02-12 | 广东电网公司佛山供电局 | Method and device for detecting suspect data in power quality data |
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