CN113377508B - Mass data rapid transmission method - Google Patents
Mass data rapid transmission method Download PDFInfo
- Publication number
- CN113377508B CN113377508B CN202110592136.6A CN202110592136A CN113377508B CN 113377508 B CN113377508 B CN 113377508B CN 202110592136 A CN202110592136 A CN 202110592136A CN 113377508 B CN113377508 B CN 113377508B
- Authority
- CN
- China
- Prior art keywords
- time
- data
- time periods
- function
- signal
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4812—Task transfer initiation or dispatching by interrupt, e.g. masked
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/485—Task life-cycle, e.g. stopping, restarting, resuming execution
-
- 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
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Detection And Prevention Of Errors In Transmission (AREA)
- Communication Control (AREA)
Abstract
The application belongs to a transmission method, and particularly relates to a rapid mass data transmission method. A rapid mass data transmission method comprises the following steps: step one: a signal input; step two: determining time; step three: fitting signals; step four: judging the credibility of the fitting function; step five: and (5) recovering the data. The application has the remarkable effects that: (1) By fitting the pre-interrupt data and post-interrupt data separately, two sets of effective fitting functions can be obtained. (2) By extending the fitting function to the other end of the interrupt time, it can be verified whether the function is trusted for the entire interrupt time. (3) By means of organic combination, two sets of fitting functions are used for approximating real data in an interruption time range, and therefore the purpose of recovering the interruption data is achieved.
Description
Technical Field
The application belongs to a transmission method, and particularly relates to a rapid mass data transmission method.
Background
Smart grids are one of the most dominant approaches to energy supply in today's society. The intelligent power grid automatically adjusts the power transmission quantity of each node in the power grid in a flexible and real-time control mode so as to meet the power consumption requirements of all electric appliances, and meanwhile, excessive additional power supply is avoided as much as possible.
The intelligent power grid can only achieve the functions, and the main reason is that the intelligent power grid can transmit information of each power utilization node in real time through the network. And the master control node comprehensively carries out electric quantity transmission regulation and control according to massive node electricity consumption information, so that the conversion from passive power generation to intelligent power supply is realized.
However, the transmission means in the prior art cannot completely transmit mass data in real time. Factors such as equipment damage, interference, etc. may cause inaccuracy in all or part of the data. Such inaccuracy is typically manifested as an excessively high bit error rate of the signal. This portion of data with too high an error rate is generally referred to in the art as untrusted data.
The prior art, once encountering such untrusted data, typically processes the data in a manner that discards the portion.
However, the data of the grid is different from the data of the traditional image, table, etc., and has time continuity. So that data over a range of time can be restored by some means.
However, the prior art methods do not solve the above-mentioned problems.
Disclosure of Invention
Aiming at the defects of the prior art, the application provides a rapid mass data transmission method.
The application is realized in the following way: a rapid mass data transmission method comprises the following steps:
step one: a signal input;
step two: determining time;
step three: fitting signals;
step four: judging the credibility of the fitting function;
step five: and (5) recovering the data.
The method for quickly transmitting mass data comprises the following steps,
the signals to be input comprise data signals to be transmitted and corresponding time signals; the transmitted signal must meet the time continuity requirement.
The rapid mass data transmission method comprises the following steps of,
the whole transmission time length is set to be t1-t2, namely, signal transmission is carried out from the moment t1, the transmission is completed at the moment t2,
the point in time when the signal changes from trusted to untrusted is ta, the point in time when the signal changes from untrusted to trusted is tb,
when tb is different from t2, three time periods t1 to ta occur; ta to tb; tb to t2; wherein t1 to ta and tb to t2 are time periods in which the signal is trusted, and ta to tb are time periods in which the signal is not trusted;
when tb is equal to t2, two time periods t1 to ta occur; ta to tb; where t 1-ta are periods of time when the signal is trusted and ta-tb are periods of time when the signal is not trusted.
The rapid mass data transmission method comprises the following steps of,
fitting is carried out on time periods t 1-ta and tb-t 2 respectively, and the fitted functions are respectively marked as f a (t) and f b (t) wherein f a (t) corresponding to time periods t 1-ta, f b (t) for a period of time tb-t 2,
when tb is equal to t2, the function f is no longer performed b Fitting of (t).
The rapid mass data transmission method comprises the following steps of,
with two functions f a (t) and f b At the time of (t), the following determination is made
If it is
If true, determining the function f a (t) is established for a period of time tb to t2,
if it is
If true, determining the function f b (t) is established in the period t1 to ta,
where ≡represents the integral of the integral,indicated as tb to (0.9 t) b +0.1t2) range of the pair function f a (t) integration; />Indicated as tb to (0.9 t) b +0.1t2) range of the pair function f b (t) integration;indicated at (0.9 t a +0.1t1)～t a In-range pair function f a (t) integration;indicated at (0.9 t a +0.1t1)～t a In-range pair function f b (t) an integration of the two,
when only the function f a At the time of (t), the subsequent step is directly performed without performing the present step.
The rapid mass data transmission method comprises the following steps of,
(1) When presentTwo functions f a (t) and f b (t) and when the judgment in the fourth step is established, the data of the time periods ta to tb are restored by the following formula,
f(t)＝K a f a (t)+K b f b (t)
wherein K is a And K b Is an intermediate parameter, in particular
(2) When there are two functions f a (t) and f b (t), and the judgment in the fourth step is f a (t) is true, f b When (t) is not satisfied, the data of the time periods ta to tb are restored by the following formula,
f(t)＝K a f a (t)+K b f b (t)+K d f b (t)
wherein K is a 、K b And K d Is an intermediate parameter, in particular
(3) When there are two functions f a (t) and f b (t), and the judgment in the fourth step is f a (t) is not true, f b When (t) is established, the data of the time periods ta to tb are restored by the following formula,
f(t)＝K a f a (t)+K b f b (t)+K c f a (t)
wherein K is a 、K b And K c Is an intermediate parameter, in particular
(4) When there are two functions f a (t) and f b (t), and the judgment in the fourth step is f a (t) is not true, f b When (t) is not satisfied, the data of the time periods ta to tb are restored by the following formula,
f(t)＝K a f a (t)+K b f b (t)+K c f a (t)+K d f b (t)
wherein K is a 、K b 、K c 、K d Is an intermediate parameter, in particular
(5) When there is only one function f a At (t), the data of the time periods ta to tb are restored by the following formula,
f(t)＝K a f a (t)+K s f s (t)
wherein K is a 、K s Is an intermediate parameter, in particular
f s And (t) is a theoretical functional form of the parameter.
The application has the remarkable effects that: (1) By fitting the pre-interrupt data and post-interrupt data separately, two sets of effective fitting functions can be obtained. (2) By extending the fitting function to the other end of the interrupt time, it can be verified whether the function is trusted for the entire interrupt time. (3) By means of organic combination, two sets of fitting functions are used for approximating real data in an interruption time range, and therefore the purpose of recovering the interruption data is achieved.
Detailed Description
A rapid mass data transmission method comprises the following steps:
step one: signal input
The signals to be input include the data signals to be transmitted and the corresponding time signals.
The signal to be transmitted can be any power grid signal such as a voltage signal, a current signal, a power signal and the like, and the transmitted signal must meet the requirement of time continuity.
For example, voltage signals in the power network are typically represented by u=u 0 cos ωt, where U 0 For the voltage maximum, ω represents phase and t represents time. Normally, U 0 And ω are constant, so the voltage is a continuous function of time. Similarly alsoThere are parameters such as current, power, etc. Of course any parameter satisfying a time-continuous function may be chosen. However, the application can only be carried out for a unique parameter, but can not be carried out for a plurality of parameters at the same time, and if the interrupt time recovery is required to be carried out for the plurality of parameters, the interrupt time recovery is required to be carried out respectively.
For convenience of subsequent calculation, S represents a parameter to be transmitted, and t represents a transmission time.
Step two: determining a time
The whole transmission time length is set to be t1-t2, namely, signal transmission is carried out from the moment t1, and the transmission is completed at the moment t2.
The common knowledge in the art of signal transmission can be used for determining whether the error of the transmission signal is excessive in the whole transmission time range through calculation means such as error rate and the like.
The threshold value of the error is different for different parameters, for example, for voltages, the error exceeds 5%, the signal is considered to be already unreliable, and for powers can be relaxed to 10%; other parameters that are similar have different ranges of untrusted thresholds. However, whatever the parameters, the person skilled in the art can determine the threshold value for the non-trusted, according to the general knowledge in the art, and determine the point in time at which the signal is present at which it is not trusted and the point in time at which it is trusted, according to the threshold value.
For facilitating the subsequent calculation, the time point when the signaling changes from trusted to untrusted is ta, and the time point when the signaling changes from untrusted to trusted is tb.
Since the signal transmission starts, it is verified whether the transmission channel meets the requirement, so that the signal is not trusted at the beginning of the transmission, so t1 and ta are necessarily unequal. During signal transmission, both interference and line faults may cause the transmission signal to be unreliable, and the time for troubleshooting and overcoming the interference may be uncertain, so tb may be equal to t2 or not.
When tb is different from t2, three time periods t1 to ta occur; ta to tb; tb to t2; wherein t1 to ta and tb to t2 are time periods in which the signal is trusted, and ta to tb are time periods in which the signal is not trusted;
when tb is equal to t2, two time periods t1 to ta occur; ta to tb; where t 1-ta are periods of time when the signal is trusted and ta-tb are periods of time when the signal is not trusted.
Of course, in actual transmission, there may be a plurality of time-unreliable time periods, but for the present application, the basic processing manner is similar to that of three time periods, so that the following description of the present application will only be described with respect to three time periods. Those skilled in the art can easily obtain a process of a plurality of time periods according to the technical content of the present application.
Step three: signal fitting
Three time periods, t1 to ta, can be obtained from the second step; ta to tb; tb to t2; where t1 to ta and tb to t2 are periods of time in which the signal is trusted, ta to tb are periods of time in which the signal is not trusted, and transmission data at each time point can also be obtained, so that data fitting can be performed.
The data fitting may be performed using any existing fitting means, such as least squares.
Fitting is carried out on time periods t 1-ta and tb-t 2 respectively, and the fitted functions are respectively marked as f a (t) and f b (t) wherein f a (t) corresponding to time periods t 1-ta, f b (t) corresponds to time period tb to t2.
When tb is equal to t2, the function f is no longer performed b Fitting of (t).
Data fitting is required instead of directly using the existing functional form, because in actual grid operation, the relevant parameters of the grid are almost impossible to put in theoretical operating conditions. For example, the theoretical operating state of the voltage is u=u 0 The cos ωt, however, is affected by factors such as user power consumption change, external power grid access disconnection, equipment damage, surge and the like in actual operation, and the actual voltage value can hardly be in the ideal state. The actual parameters are used for fitting, so that the actual running state of the power grid can be restored to the greatest extent, and the restored data has the greatest credibility.
Step four: judging the credibility of the fitting function
With two functions f a (t) and f b At the time of (t), the following determination is made
If it is
If true, determining the function f a (t) is established in the period tb to t2.
If it is
If true, determining the function f b (t) is established in the time period t1 to ta.
Where ≡represents the integral of the integral,indicated as tb to (0.9 t) b +0.1t2) range of the pair function f a (t) integration; />Indicated as tb to (0.9 t) b +0.1t2) range of the pair function f b (t) integration;indicated at (0.9 t a +0.1t1)～t a In-range pair function f a (t) integration;indicated at (0.9 t a +0.1t1)～t a In-range pair function f b (t) integration.
When only the function f a At the time of (t), the subsequent step is directly performed without performing the present step.
Step five: data recovery
The method comprises the following steps
(1) When there are two functions f a (t) and f b (t) and when the judgment of the fourth step is trueThe data of the time periods ta to tb are restored by the following formula,
f(t)＝K a f a (t)+K b f b (t)
wherein K is a And K b Is an intermediate parameter, in particular
(2) When there are two functions f a (t) and f b (t), and the judgment in the fourth step is f a (t) is true, f b When (t) is not satisfied, the data of the time periods ta to tb are restored by the following formula,
f(t)＝K a f a (t)+K b f b (t)+K d f b (t)
wherein K is a 、K b And K d Is an intermediate parameter, in particular
(3) When there are two functions f a (t) and f b (t), and the judgment in the fourth step is f a (t) is not true, f b When (t) is established, the data of the time periods ta to tb are restored by the following formula,
f(t)＝K a f a (t)+K b f b (t)+K c f a (t)
wherein K is a 、K b And K c Is an intermediate parameter, in particular
(4) When there are two functions f a (t) and f b (t), and the judgment in the fourth step is f a (t) is not true, f b When (t) is not satisfied, the data of the time periods ta to tb are restored by the following formula,
f(t)＝K a f a (t)+K b f b (t)+K c f a (t)+K d f b (t)
wherein K is a 、K b 、K c 、K d Is an intermediate parameter, in particular
(5) When there is only one functionf a At (t), the data of the time periods ta to tb are restored by the following formula,
f(t)＝K a f a (t)+K s f s (t)
wherein K is a 、K s Is an intermediate parameter, in particular
f s (t) is a theoretical functional form of the parameter, e.g. for voltage, then the theoretical functional form is u=u 0 cos ωt; for current, its theoretical functional form is i=i 0 cos ωt; for power p=u×i; similarly, other parameters have their theoretical functional form, f s And (t) is the theoretical function form.
For the case where there are a plurality of signal unreliable periods within the period t1 to t2, the above-described case can be decomposed into two types, i.e., the last period and the remaining period. For the last time period, if tb is the same as t2, then the individual function f is followed as described above a (t) case handling; if tb is not the same as t2, then the two functions f are followed a (t) and f b And (3) processing the situation of (t). For the remaining time period, since it is necessary to have two functions f a (t) and f b The case of (t), therefore, is handled according to the case of the two functions described above.
Claims (1)
1. The rapid mass data transmission method is characterized by comprising the following steps of:
step one: a signal input;
step two: determining time;
step three: fitting signals;
step four: judging the credibility of the fitting function;
step five: recovering data;
the first step of the method comprises the steps of,
the signals to be input comprise data signals to be transmitted and corresponding time signals; the transmitted signal must meet the time continuity requirement;
the second step comprises the steps of,
the whole transmission time length is set to be t1-t2, namely, signal transmission is carried out from the moment t1, the transmission is completed at the moment t2,
the point in time when the signal changes from trusted to untrusted is ta, the point in time when the signal changes from untrusted to trusted is tb,
when tb is different from t2, three time periods t1 to ta occur; ta to tb; tb to t2; wherein t1 to ta and tb to t2 are time periods in which the signal is trusted, and ta to tb are time periods in which the signal is not trusted;
when tb is equal to t2, two time periods t1 to ta occur; ta to tb; wherein t1 to ta are time periods in which the signal is trusted, and ta to tb are time periods in which the signal is not trusted;
the third step comprises the steps of,
fitting is carried out on time periods t 1-ta and tb-t 2 respectively, and the fitted functions are respectively marked as f a (t) and f b (t) wherein f a (t) corresponding to time periods t 1-ta, f b (t) for a period of time tb-t 2,
when tb is equal to t2, the function f is no longer performed b Fitting of (t);
the fourth step comprises the steps of,
with two functions f a (t) and f b At the time of (t), the following determination is made
If it is
If true, determining the function f a (t) is established for a period of time tb to t2,
if it is
If true, determining the function f b (t) is established in the period t1 to ta,
where ≡represents the integral of the integral,indicated as tb to (0.9 t) b +0.1t2) range of the pair function f a (t) integration; />Indicated as tb to (0.9 t) b +0.1t2) range of the pair function f b (t) integration;indicated at (0.9 t a +0.1t1)～t a In-range pair function f a (t) integration;indicated at (0.9 t a +0.1t1)～t a In-range pair function f b (t) an integration of the two,
when only the function f a (t) at the time of the step, not carrying out the step, directly executing the subsequent step;
the fifth step comprises the steps of,
(1) When there are two functions f a (t) and f b (t) and when the judgment in the fourth step is established, the data of the time periods ta to tb are restored by the following formula,
f(t)＝K a f a (t)+K b f b (t)
wherein K is a And K b Is an intermediate parameter, in particular
(2) When there are two functions f a (t) and f b (t), and the judgment in the fourth step is f a (t) is true, f b When (t) is not satisfied, the data of the time periods ta to tb are restored by the following formula,
f(t)＝K a f a (t)+K b f b (t)+K d f b (t)
wherein K is a 、K b And K d Is an intermediate parameter, in particular
(3) When there are two functions f a (t) and f b (t), and the judgment in the fourth step is f a (t) is not true, f b When (t) is established, the data of the time periods ta to tb are restored by the following formula,
f(t)＝K a f a (t)+K b f b (t)+K c f a (t)
wherein K is a 、K b And K c Is an intermediate parameter, in particular
(4) When there are two functions f a (t) and f b (t), and the judgment in the fourth step is f a (t) is not true, f b When (t) is not satisfied, the data of the time periods ta to tb are restored by the following formula,
f(t)＝K a f a (t)+K b f b (t)+K c f a (t)+K d f b (t)
wherein K is a 、K b 、K c 、K d Is an intermediate parameter, in particular
(5) When there is only one function f a At (t), the data of the time periods ta to tb are restored by the following formula,
f(t)＝K a f a (t)+K s f s (t)
wherein K is a 、K s Is an intermediate parameter, in particular
f s And (t) is a theoretical functional form of the parameter.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110592136.6A CN113377508B (en) | 2021-05-28 | 2021-05-28 | Mass data rapid transmission method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110592136.6A CN113377508B (en) | 2021-05-28 | 2021-05-28 | Mass data rapid transmission method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113377508A CN113377508A (en) | 2021-09-10 |
| CN113377508B true CN113377508B (en) | 2023-08-22 |
Family
ID=77574742
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110592136.6A Active CN113377508B (en) | 2021-05-28 | 2021-05-28 | Mass data rapid transmission method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113377508B (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104537034A (en) * | 2014-12-22 | 2015-04-22 | 国家电网公司 | Electric-transmission-and-transformation-equipment state monitoring data cleaning method based on time series analysis |
| CN106844290A (en) * | 2015-12-03 | 2017-06-13 | 南京南瑞继保电气有限公司 | A kind of time series data processing method based on curve matching |
| CN108492560A (en) * | 2018-04-04 | 2018-09-04 | 东南大学 | A kind of Road Detection device missing data complementing method and device |
| CN109154669A (en) * | 2016-03-18 | 2019-01-04 | 迪尔公司 | The fast quick-recovery of exact position after the transient loss of signal |
| CN110147367A (en) * | 2019-05-14 | 2019-08-20 | 中国科学院深圳先进技术研究院 | A kind of temperature missing data complementing method, system and electronic equipment |
| CN111796235A (en) * | 2020-06-28 | 2020-10-20 | 司浩天 | Assessment method for gateway table with high utilization rate |
| CN111881420A (en) * | 2020-08-05 | 2020-11-03 | 华北电力大学 | Wind turbine generator set operation data interpolation method |
| CN112165099A (en) * | 2020-10-10 | 2021-01-01 | 国网山东省电力公司临沂供电公司 | Power grid frequency deviation self-adaptive processing method |
| CN112269054A (en) * | 2020-09-16 | 2021-01-26 | 国网安徽省电力有限公司六安供电公司 | Power adaptive algorithm based on improved Prony |
| CN112688303A (en) * | 2019-10-17 | 2021-04-20 | 南京沃旭电力科技有限公司 | Power consumer power consumption evaluation system based on synchronous power selling amount |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| ES2821004T3 (en) * | 2015-02-23 | 2021-04-23 | Okinawa Institute Of Science And Technology Graduate Univ | Prediction error determination system and method for renewable energy fluctuations |
| US11775873B2 (en) * | 2018-06-11 | 2023-10-03 | Oracle International Corporation | Missing value imputation technique to facilitate prognostic analysis of time-series sensor data |
| CN114901125A (en) * | 2019-11-15 | 2022-08-12 | 德克斯康公司 | Joint state estimation prediction to evaluate the difference of predicted data and corresponding received data |
-
2021
- 2021-05-28 CN CN202110592136.6A patent/CN113377508B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104537034A (en) * | 2014-12-22 | 2015-04-22 | 国家电网公司 | Electric-transmission-and-transformation-equipment state monitoring data cleaning method based on time series analysis |
| CN106844290A (en) * | 2015-12-03 | 2017-06-13 | 南京南瑞继保电气有限公司 | A kind of time series data processing method based on curve matching |
| CN109154669A (en) * | 2016-03-18 | 2019-01-04 | 迪尔公司 | The fast quick-recovery of exact position after the transient loss of signal |
| CN108492560A (en) * | 2018-04-04 | 2018-09-04 | 东南大学 | A kind of Road Detection device missing data complementing method and device |
| CN110147367A (en) * | 2019-05-14 | 2019-08-20 | 中国科学院深圳先进技术研究院 | A kind of temperature missing data complementing method, system and electronic equipment |
| CN112688303A (en) * | 2019-10-17 | 2021-04-20 | 南京沃旭电力科技有限公司 | Power consumer power consumption evaluation system based on synchronous power selling amount |
| CN111796235A (en) * | 2020-06-28 | 2020-10-20 | 司浩天 | Assessment method for gateway table with high utilization rate |
| CN111881420A (en) * | 2020-08-05 | 2020-11-03 | 华北电力大学 | Wind turbine generator set operation data interpolation method |
| CN112269054A (en) * | 2020-09-16 | 2021-01-26 | 国网安徽省电力有限公司六安供电公司 | Power adaptive algorithm based on improved Prony |
| CN112165099A (en) * | 2020-10-10 | 2021-01-01 | 国网山东省电力公司临沂供电公司 | Power grid frequency deviation self-adaptive processing method |
Non-Patent Citations (1)
| Title |
|---|
| 基于多维度相关性分析的电压缺失数据辨识方法研究;李绍坚;《电气自动化》;第43卷(第01期);第63-66页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113377508A (en) | 2021-09-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CA3139533A1 (en) | Rate-optimized congestion management | |
| AU2019348020B2 (en) | Secure distributed state estimation for networked microgrids | |
| CN108808738B (en) | Power grid safety correction control method considering constraint priority | |
| CN108649580B (en) | Safety correction method for alternating current-direct current hybrid power system based on second-order cone | |
| CN107248752B (en) | high-permeability photovoltaic distributed voltage control method based on network topology identification | |
| CN109088427B (en) | Method and system for determining minimum starting-up scheme of conventional unit in AC/DC hybrid power grid | |
| CN112803598B (en) | Multi-source cooperative protection configuration method, system, equipment and storage medium for power distribution network | |
| CN108711850B (en) | Method for judging safety loop closing operation of medium-voltage distribution network | |
| CN110932291B (en) | Active splitting method for preserving stability of local power grid | |
| CN113377508B (en) | Mass data rapid transmission method | |
| CN107340731B (en) | Control device for static var compensator and control method thereof | |
| WO2020041903A1 (en) | Nano/micro-grid power distribution system | |
| CN112865090B (en) | Intelligent power distribution network fault recovery method based on organism immune mechanism | |
| Abdel-Akher et al. | An approach to determine a pair of power-flow solutions related to the voltage stability of unbalanced three-phase networks | |
| CN106684852A (en) | Flexible DC grid voltage management center and voltage stability control method thereof | |
| CN108923474B (en) | Quasi-steady-state-based multi-scale AC/DC system voltage correction control method | |
| CN103023346B (en) | Software current-sharing control method of rectifier module | |
| CN110890762B (en) | Voltage balance control method and system under receiving-end multi-drop-point serial access mode | |
| CN204009521U (en) | Large-scale thermal power machine group AGC signal disturbance disposal system | |
| CN105186557A (en) | Grid-connected inverter control system and control method thereof | |
| CN204258323U (en) | Point-to-point power peak regulation system | |
| CN204835556U (en) | Many load balancing control system | |
| CN113824155B (en) | Power balance reduction method for photovoltaic access distribution feeder line | |
| CN103280824A (en) | Control method of direct current bus voltage for voltage sag generator | |
| CN107834548B (en) | N-1 calibration method for power grid containing new energy |
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 |