CN109726504A - A kind of source based on scada real time data carries the Fast Recognition Algorithm of route integrated dynamic model state - Google Patents
A kind of source based on scada real time data carries the Fast Recognition Algorithm of route integrated dynamic model state Download PDFInfo
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- CN109726504A CN109726504A CN201910033231.5A CN201910033231A CN109726504A CN 109726504 A CN109726504 A CN 109726504A CN 201910033231 A CN201910033231 A CN 201910033231A CN 109726504 A CN109726504 A CN 109726504A
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Abstract
The invention discloses the Fast Recognition Algorithms that the source based on scada real time data carries route integrated dynamic model state, Annual distribution study is carried out to voltage U, power P, idle Q value in scada sampled data, analyzes their static state and behavioral characteristics in time respectively；With the linear relationship between voltage U, power P, idle Q value, the division methods of the timeliness window of the equal electricity consumptions total amount of the different conditions of electric load integrated dynamic model are established；Analyze the non-linear relation between power P, idle Q and voltage U, establish the division methods of the timeliness window of the equal electricity consumptions total amount of the different conditions of electric load integrated dynamic model, establish the division methods of the timeliness window of the equal electricity consumptions total amount of the electric load integrated dynamic model different conditions of comprehensive two methods, quickly and effectively identify the real-time load state of whole route, the timeliness window for calculating the different conditions of electric load integrated dynamic model ensures that entire power grid security handles electric load model analysis and big data.
Description
Technical field
The present invention relates to based on scada real time data source carry route integrated dynamic model state Fast Recognition Algorithm,
More particularly to the source based on scada real time data carries the Fast Recognition Algorithm of route integrated dynamic model state.
Background technique
With the extensive access of multiple feed and new energy, the scale of power grid constantly becomes larger, and source carries dynamic in route
The state change rule of load model is increasingly sophisticated, but is reacted to major network terminal, the only five seconds scada hits for the period
According to the identification of dynamic load model state is the basis of Power System Analysis and control, the knowledge not conformed to the actual conditions in the load route of source
Other state will lead to the calculated result far from each other with reality, endanger the safety of power grid.
Summary of the invention
Goal of the invention: in order to overcome the deficiencies in the prior art, in view of the above-mentioned problems, the invention proposes a kind of benefits
With the measured value of terminal section, the real-time load state of whole route is rapidly and effectively identified, and it is whole to calculate electric load
The timeliness window of the different conditions of body dynamic model ensures that entire power grid security handles electric load model analysis and big data
Source based on scada real time data carry the Fast Recognition Algorithm of route integrated dynamic model state.
In order to solve the above technical problems, a kind of source based on scada real time data of the invention carries route overall dynamics mould
The Fast Recognition Algorithm of type state analyzes scada under different conditions according to the Window and wavelet analysis method of timeliness network
The time-frequency characteristics of sampled data, identify the different conditions of electric load integrated dynamic model, and calculate the timeliness of different conditions
Window, comprising the following steps:
S1: carrying out Annual distribution study to voltage U in scada sampled data, power P, idle Q value, analyze respectively they
Temporal static and behavioral characteristics；
S2: with the linear relationship between voltage U, power P, idle Q value, the different shapes of electric load integrated dynamic model are established
The division methods of the timeliness window of the equal electricity consumptions total amount of state；
S3: the non-linear relation between analysis power P, idle Q and voltage U establishes the difference of electric load integrated dynamic model
The division methods of the timeliness window of the equal electricity consumptions total amount of state；
S4: the division methods of the timeliness window of the above two equal electricity consumptions total amount of comparative analysis establish the electric power of comprehensive two methods
The division methods of the timeliness window of the equal electricity consumptions total amount of the different conditions of load integrated dynamic model.
Step S2 establishes electric load and integrally moves specifically, with the linear relationship between voltage U, power P, idle Q value
The timeliness window of states model divides excellent linearisation performance assessment criteria, is referred to using fixed electricity consumption total amount as the quantization of partition window
Mark, establishes the division methods of the timeliness window of equal electricity consumptions total amount to time interval carries out, and the different total numerical quantity of electricity consumption of fixation is built
Multiple groups timeliness window is found, the window performance assessment criteria numerical value under each group window of EVOLUTION ANALYSIS identifies and divides the optimal of timeliness window
The total numerical quantity of electricity consumption, construction basis voltage U, power P, linear relationship between idle Q value electricity consumption timeliness window.
Step S3 establishes electric load entirety specifically, analysis power P, the non-linear relation between idle Q and voltage U
The timeliness window of dynamic model divides excellent non-linearization performance assessment criteria, using fixed electricity consumption total amount as the quantization of partition window
Index, establishes the division methods of the timeliness window of equal electricity consumptions total amount to time interval carries out, the different total numerical quantity of electricity consumption of fixation,
Multiple groups timeliness window is established, the window performance assessment criteria numerical value under each group window of EVOLUTION ANALYSIS identifies and divides timeliness window most
The excellent total numerical quantity of electricity consumption, construction basis voltage U, power P, non-linear relation between idle Q value electricity consumption timeliness
Window.
Step S4 is specifically, respectively by the electricity consumption according to the linear relationship between voltage U, power P, idle Q value
Timeliness window, according to voltage U, the timeliness window of the electricity consumption of power P, non-linear relation between idle Q value, with
Static state, behavioral characteristics in scada sampled data under the time domain of voltage U, power P, idle Q value compare and analyze, comprehensive
Two methods establish the timeliness window division methods of the different conditions of optimal electric load integrated dynamic model.
Using the invention has the following advantages:
By using Annual distribution study, having obtained the voltage U under scada sampling big data, power P, the static state of idle Q for the first time
Time interval is established for the first time using the linear relationship between voltage U, power P, idle Q value with dynamic time distribution characteristics
The criteria for classifying of unequal timeliness window, and the division methods of timeliness window are given, analysis power P, idle Q are utilized again
With the non-linear relation between voltage U, the criteria for classifying of the unequal timeliness window of time interval is established, and gives timeliness
The division methods of window are to first appear, the equal electricity consumptions total amount of the different conditions of newly-established electric load integrated dynamic model
The division methods of timeliness window combine voltage U, power P, linear relationship and non-linear relation between idle Q value, have
Good theoretical value and practical directive significance.
The present invention can rapidly and effectively identify the real-time load state of whole route, and calculate electric load and integrally move
The timeliness window of the different conditions of states model ensures that entire power grid security handles electric load model analysis and big data.
Detailed description of the invention
Fig. 1 is that the present invention is based on the Fast Recognition Algorithms that the source of scada real time data carries route integrated dynamic model state
Flow chart；
Fig. 2 is that the present invention is based on the Fast Recognition Algorithm middle lines that the source of scada real time data carries route integrated dynamic model state
Sexual intercourse；
Fig. 3 is that the present invention is based on non-in the Fast Recognition Algorithm of the source of scada real time data load route integrated dynamic model state
Linear relationship.
Specific embodiment
The quick identification that a kind of source based on scada real time data of the invention carries route integrated dynamic model state is calculated
Method, detailed process are as follows:
A kind of source based on scada real time data carries the Fast Recognition Algorithm of route integrated dynamic model state, according to timeliness net
The Window and wavelet analysis method of network analyze the time-frequency characteristics of scada sampled data under different conditions, identify electric load
The different conditions of integrated dynamic model, and calculate the timeliness window of different conditions, comprising the following steps:
S1: carrying out Annual distribution study to voltage U in scada sampled data, power P, idle Q value, analyze respectively they
Temporal static and behavioral characteristics；
S2: with the linear relationship between voltage U, power P, idle Q value, the different shapes of electric load integrated dynamic model are established
The division methods of the timeliness window of the equal electricity consumptions total amount of state, specifically: establish the timeliness window of electric load integrated dynamic model
Excellent linearisation performance assessment criteria is divided, using fixed electricity consumption total amount as the quantizating index of partition window, is established to time interval
The division methods of the timeliness window of equal electricity consumptions total amount are carried out, the fixed different total numerical quantity of electricity consumption is established multiple groups timeliness window, drilled
Change the window performance assessment criteria numerical value analyzed under each group window, identifies the total numerical quantity of optimal electricity consumption for dividing timeliness window, building
The timeliness window of electricity consumption according to the linear relationship between voltage U, power P, idle Q value.
S3: the non-linear relation between analysis power P, idle Q and voltage U establishes electric load integrated dynamic model
The division methods of the timeliness window of the equal electricity consumptions total amount of different conditions；Specifically: establish electric load integrated dynamic model when
Effect window divides excellent non-linearization performance assessment criteria, using fixed electricity consumption total amount as the quantizating index of partition window, establishment pair
The division methods for the timeliness windows of electricity consumptions total amount such as time interval carries out, the fixed different total numerical quantity of electricity consumption, when establishing multiple groups
Window is imitated, the window performance assessment criteria numerical value under each group window of EVOLUTION ANALYSIS identifies the optimal electricity consumption total amount for dividing timeliness window
Numerical value, construction basis voltage U, power P, non-linear relation between idle Q value electricity consumption timeliness window
S4: the division methods of the timeliness window of the above two equal electricity consumptions total amount of comparative analysis establish the electric power of comprehensive two methods
The division methods of the timeliness window of the equal electricity consumptions total amount of the different conditions of load integrated dynamic model；It respectively will be according to voltage U, function
The timeliness window of the electricity consumption of linear relationship between rate P, idle Q value, according between voltage U, power P, idle Q value
Non-linear relation electricity consumption timeliness window, the time domain with voltage U, power P, idle Q value in scada sampled data
Under static state, behavioral characteristics compare and analyze, comprehensive two methods establish optimal electric load integrated dynamic model not
With the timeliness window division methods of state.
Claims (4)
1. a kind of source based on scada real time data carries the Fast Recognition Algorithm of route integrated dynamic model state, feature exists
According to the Window and wavelet analysis method of timeliness network, the time-frequency for analyzing scada sampled data under different conditions is special
Sign, identifies the different conditions of electric load integrated dynamic model, and calculates the timeliness window of different conditions, including following step
It is rapid:
S1: carrying out Annual distribution study to voltage U in scada sampled data, power P, idle Q value, analyze respectively they
Temporal static and behavioral characteristics；
S2: with the linear relationship between voltage U, power P, idle Q value, the different shapes of electric load integrated dynamic model are established
The division methods of the timeliness window of the equal electricity consumptions total amount of state；
S3: the non-linear relation between analysis power P, idle Q and voltage U establishes the difference of electric load integrated dynamic model
The division methods of the timeliness window of the equal electricity consumptions total amount of state；
S4: the division methods of the timeliness window of the above two equal electricity consumptions total amount of comparative analysis establish the electric power of comprehensive two methods
The division methods of the timeliness window of the equal electricity consumptions total amount of the different conditions of load integrated dynamic model.
2. the source based on scada real time data carries the quick identification of route integrated dynamic model state as described in claim 1
Algorithm, it is characterised in that: step S2 establishes power load specifically, with the linear relationship between voltage U, power P, idle Q value
The timeliness window of lotus integrated dynamic model divides excellent linearisation performance assessment criteria, using fixed electricity consumption total amount as partition window
Quantizating index establishes the division methods of the timeliness window of equal electricity consumptions total amount to time interval carries out, the different electricity consumption total amount of fixation
Numerical value, establishes multiple groups timeliness window, and the window performance assessment criteria numerical value under each group window of EVOLUTION ANALYSIS identifies and divides timeliness window
The total numerical quantity of optimal electricity consumption, construction basis voltage U, power P, linear relationship between idle Q value electricity consumption when
Imitate window.
3. the source based on scada real time data carries the quick identification of route integrated dynamic model state as described in claim 1
Algorithm, it is characterised in that: step S3 establishes electric power specifically, analysis power P, the non-linear relation between idle Q and voltage U
The timeliness window of load integrated dynamic model divides excellent non-linearization performance assessment criteria, is to divide window with fixed electricity consumption total amount
Mouthful quantizating index, establish the division methods of the timeliness window of equal electricity consumptions total amount to time interval carries out, the different electricity consumption of fixation
Total numerical quantity, establishes multiple groups timeliness window, and the window performance assessment criteria numerical value under each group window of EVOLUTION ANALYSIS identifies division timeliness
The total numerical quantity of optimal electricity consumption of window, the electricity consumption of construction basis voltage U, power P, non-linear relation between idle Q value
The timeliness window of property.
4. the source based on scada real time data carries the quick identification of route integrated dynamic model state as described in claim 1
Algorithm, it is characterised in that: step S4 is specifically, respectively will be according to the linear relationship between voltage U, power P, idle Q value
The timeliness window of electricity consumption, according to the non-linear relation between voltage U, power P, idle Q value electricity consumption timeliness
Static state, behavioral characteristics in window, with scada sampled data under the time domain of voltage U, power P, idle Q value compare point
Analysis, comprehensive two methods, establishes the timeliness window division methods of the different conditions of optimal electric load integrated dynamic model.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110212540A (en) * | 2019-05-15 | 2019-09-06 | 国网江苏省电力有限公司泰州供电分公司 | A kind of Fast Evaluation algorithm of real-time voltage regulating strategy |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103425878A (en) * | 2013-08-01 | 2013-12-04 | 哈尔滨工业大学 | Method for rapidly calculating electrical power system quasi dynamic trend and power grid operation situation |
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Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103425878A (en) * | 2013-08-01 | 2013-12-04 | 哈尔滨工业大学 | Method for rapidly calculating electrical power system quasi dynamic trend and power grid operation situation |
Non-Patent Citations (2)
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| 吴星等: "基于WAMS/SCADA数据兼容的三种状态估计算法比较研究", 《华东电力》 * |
| 汪永华等: "基于SCADA/EMS的负荷实测与网损在线计算的研究与应用", 《电力系统保护与控制》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110212540A (en) * | 2019-05-15 | 2019-09-06 | 国网江苏省电力有限公司泰州供电分公司 | A kind of Fast Evaluation algorithm of real-time voltage regulating strategy |
| CN110212540B (en) * | 2019-05-15 | 2022-07-15 | 国网江苏省电力有限公司泰州供电分公司 | Rapid evaluation algorithm for real-time voltage regulation and control strategy |
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Effective date of registration: 20190531 Address after: No. 2, Fenghuang West Road, Taizhou City, Jiangsu Province, China Applicant after: STATE GRID JIANGSU ELECTRIC POWER Co.,Ltd. TAIZHOU POWER SUPPLY BRANCH Applicant after: JIANGSU ANFANG ELECTRIC POWER TECHNOLOGY Co.,Ltd. Address before: 225300 No. 19 Wuzhou South Road, Taizhou City, Jiangsu Province Applicant before: JIANGSU ANFANG ELECTRIC POWER TECHNOLOGY Co.,Ltd. |
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