CN117200461A - All-element adjustment power grid dispatching method based on historical data - Google Patents
All-element adjustment power grid dispatching method based on historical data Download PDFInfo
- Publication number
- CN117200461A CN117200461A CN202311464493.XA CN202311464493A CN117200461A CN 117200461 A CN117200461 A CN 117200461A CN 202311464493 A CN202311464493 A CN 202311464493A CN 117200461 A CN117200461 A CN 117200461A
- Authority
- CN
- China
- Prior art keywords
- power grid
- power
- time period
- voltage
- acquiring
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 32
- 230000033228 biological regulation Effects 0.000 claims abstract description 3
- 238000004458 analytical method Methods 0.000 claims description 57
- 230000002159 abnormal effect Effects 0.000 claims description 36
- 230000005611 electricity Effects 0.000 claims description 16
- 230000005540 biological transmission Effects 0.000 claims description 9
- 230000001105 regulatory effect Effects 0.000 claims description 5
- 238000012544 monitoring process Methods 0.000 claims description 4
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 230000006641 stabilisation Effects 0.000 claims description 3
- 238000011105 stabilization Methods 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 abstract description 3
- 230000000694 effects Effects 0.000 description 6
- 230000005856 abnormality Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
Classifications
-
- 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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a full-element regulation power grid dispatching method based on historical data, which relates to the technical field of power grid dispatching and solves the technical problems that comprehensive data analysis is not carried out, and then reasonable distribution is carried out on power grid dispatching by combining the past data.
Description
Technical Field
The invention relates to the technical field of power grid dispatching, in particular to a full-element regulation power grid dispatching method based on historical data.
Background
The power grid dispatching is the core of power grid operation and accident handling, relates to safe, stable and economic operation of the power grid, has no small trouble in dispatching, and can be hidden danger for safe and stable operation of the power grid due to any unstable details.
According to the patent display of the invention number CN200910154723.6, the patent integrates and manages different types of information concerned by the dispatch service, computerizes and judges the manual judgment process, and particularly integrates the scattered information concerned by the dispatch service from different systems; storing the integrated various information in a computer in a mode of a graphic format and a text information format; setting dangerous points in the power grid dispatching process, and associating the dangerous points into graphic and text information; the computer is used for monitoring the dangerous points, and before the operation of a dispatcher in the dispatching process, the computer automatically judges various dangerous points to judge whether the operation is feasible or not; if the computer judges that the operation is not feasible, alarming to remind a dispatcher; if the computer is operable, no alarm is given and the dispatcher begins to operate on various devices. By adopting the power grid dispatching method, the working pressure of dispatching personnel is reduced, and the safety of power grid dispatching is improved.
Part of the existing power grid dispatching methods are not combined with past data to carry out reasonable dispatching when in use, and the data are not comprehensively analyzed and processed in the dispatching process, so that the unreasonable condition of power grid dispatching is caused.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a full-element adjustment power grid dispatching method based on historical data, which solves the problems that comprehensive data analysis is not available, and the power grid dispatching is not reasonably distributed by combining past data.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a method for regulating power grid dispatching based on all elements of historical data specifically comprises the following steps:
step one: dividing different areas to obtain area division information, wherein the area division information comprises: and respectively analyzing the living area and the working area to obtain analysis results, wherein the analysis results comprise: the power consumption peaks, the power consumption normal and the power consumption valleys, and the specific mode for generating the analysis result is as follows:
s1: dividing different areas according to a division standard to obtain living areas and working areas, marking the living areas as i, marking the working areas as n, marking the working areas as n=1, 2, … and m, wherein i=1, 2, … and j; here, the dividing criteria refers to classifying the people in the area according to their activities, and the dividing criteria is working for specific personnel activities in the working area, and has a fixed time, while the dividing criteria is not timed for personnel activities in the living area.
S2: then, acquiring all living areas i, selecting any living area as a target area at the same time, and acquiring electricity consumption records in the target area as Dk in a time period of t, wherein k=1, 2, … and 24; here, the time period value of t is one hour, and the electricity consumption time period is divided by acquiring the electricity consumption in 24 hours.
S3: then taking T as a time period and acquiring the total electricity consumption in the time period as Dz, wherein z=1, 2, …,And the power consumption peak, the power consumption normal and the power consumption valley are divided according to the total power consumption Dz and the time period; here, the specific value of T is set by the operator.
And the like, all living areas i are divided, and the working areas are divided in the same way.
Step two: then analyzing the analysis result, and generating a corresponding voltage analysis result by analyzing and judging the voltage of the analysis result, wherein the voltage analysis result comprises the following steps: voltage stabilization and voltage instability, then further analyzing the voltage analysis result to obtain a load analysis result, wherein the load analysis result comprises: overload state and non-overload state, and the specific way of generating load analysis results is as follows:
p1: obtaining the time periods corresponding to the power consumption peak, the power consumption normal and the power consumption valley, respectively recording the time periods as Tg, tz and Td, respectively calculating the average voltage of the time periods and recording the average voltage of the time periods as YTG, YTz and YTd, and simultaneously comparing the average voltage with the transmission voltage;
p2: if the average voltage is lower than the transmission voltage, the power consumption in the corresponding time period is abnormal, the corresponding time period is marked as an abnormal time period, otherwise, if the average voltage is equal to the transmission voltage, the power consumption in the corresponding time period is normal, and the power consumption is not processed;
p3: then, acquiring an abnormal time period, simultaneously acquiring corresponding historical data, and analyzing the abnormal time period according to the historical data, wherein the specific analysis mode is as follows:
p31: taking R as a time period, acquiring historical data in the time period R, simultaneously acquiring the occurrence times of the abnormal time period in the historical data, recording the occurrence times as C, calculating the time duty ratio of the occurrence times, comparing the calculated time duty ratio with a preset value, if the time duty ratio exceeds the preset value, indicating that the occurrence frequency of the abnormal time period exceeds the preset value and generating a secondary analysis signal, otherwise, indicating that the occurrence frequency of the abnormal time period does not exceed the preset value and generating a normal signal; it should be noted that, in normal life or working process, supply of voltage is required to meet requirements, but proper scheduling is required for special situations, if voltage abnormality occurs frequently, it means that abnormal allocation is required for corresponding allocation scheduling.
P32: acquiring all abnormal time periods, acquiring the corresponding highest voltage value record as Ymax, acquiring the continuous working time record of the highest voltage value Ymax as t1, calculating the power record in the t1 working time period as GL1, comparing GL1 with the output power GL2 of the power grid, if GL1 is more than or equal to 0.7GL2, indicating that an overload state exists in the abnormal time period, otherwise, if GL1 is less than 0.7GL2, indicating that the abnormal time period does not reach the overload state;
and by analogy, analyzing all abnormal time periods corresponding to all analysis results to obtain corresponding coincidence analysis results.
Step three: the load analysis result is obtained and analyzed, the power grid circuit is analyzed, distribution scheduling is carried out according to the load analysis result, scheduling information is generated, and the specific mode for generating the scheduling information is as follows:
a1: the method comprises the steps of obtaining a power grid circuit corresponding to an overload state in a load analysis result, performing label processing on the power grid circuit and marking the power grid circuit as e, wherein e=1, 2, … and v, simultaneously obtaining corresponding power marks as GLe, sequencing the power marks from small to large, performing label processing on the power grid circuit without the overload state as r, and marking the power grid circuit as r=1, 2, … and u, and obtaining corresponding power marks as GLr;
a2: then analyzing the power GLr corresponding to the power grid circuit r without overload state, obtaining the change condition of the power GLr of the power grid circuit r in the period time, selecting the power grid circuit with the change value of the power GLr within the preset range, and recording the corresponding power grid circuit as a circuit to be distributed; the specific value of the preset range is set by an operator, the preset range represents the variation degree of the power value, the power consumption condition is stable for the circuit with small variation degree, and the power consumption condition is unstable for the current with large variation degree.
A3: all circuits to be distributed are obtained and sequenced from small to large according to power, then all power grid circuits in overload state are obtained and sequenced from small to small, and meanwhile the two circuits are matched in a one-to-one correspondence mode to generate corresponding scheduling information. The method includes the steps of matching a circuit to be distributed with low power with a power grid circuit in an overload state with high power, and the like to generate scheduling information, wherein the matching of the circuit to be distributed with the power grid circuit in the overload state with high power is the matching in the same power utilization time period.
Step four: the generated scheduling information is obtained and monitored, whether secondary scheduling is needed or not is judged by analyzing the voltage corresponding to the circuit of the scheduling information, and corresponding secondary scheduling information is generated, wherein the secondary scheduling information comprises: the specific way of generating the secondary scheduling information is as follows:
and acquiring a circuit corresponding to the scheduling information, acquiring a voltage corresponding to the circuit, monitoring the voltage, judging whether overload occurs, generating the scheduling information if overload occurs, and otherwise, generating the non-scheduling information. The voltage of the circuit after the scheduling is analyzed, the power is calculated to judge whether the scheduling is needed, and the reallocation scheduling is performed according to the scheduling mode in the third step for the situation that the scheduling is needed.
The invention provides a full-element adjustment power grid dispatching method based on historical data. Compared with the prior art, the method has the following beneficial effects:
according to the invention, different areas are divided into living areas and working areas according to the characteristics of the different areas, then the areas are divided into electricity utilization time periods according to the electricity utilization conditions in the areas, the analysis is carried out by combining the voltages in the electricity utilization process, meanwhile, the comprehensive analysis is carried out on the time periods with unstable voltages, the corresponding power is further obtained, the reasonable scheduling analysis is carried out according to the power, the voltage of a scheduling circuit is monitored after the scheduling, so that whether the first scheduling is reasonable or not is judged, and the second scheduling is realized by the data analysis again according to the unreasonable conditions.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides a method for dispatching a full-element regulating power grid based on historical data, which specifically comprises the following steps:
step one: dividing different areas to obtain area division information, wherein the area division information comprises: and respectively analyzing the living area and the working area to obtain analysis results, wherein the analysis results comprise: the power consumption peaks, the power consumption normal and the power consumption valleys, and the specific mode for generating the analysis result is as follows:
s1: dividing different areas according to a division standard to obtain living areas and working areas, marking the living areas as i, marking the working areas as n, marking the working areas as n=1, 2, … and m, wherein i=1, 2, … and j; here, the dividing criteria refers to classifying the people in the area according to their activities, and the dividing criteria is working for specific personnel activities in the working area, and has a fixed time, while the dividing criteria is not timed for personnel activities in the living area.
S2: then, acquiring all living areas i, selecting any living area as a target area at the same time, and acquiring electricity consumption records in the target area as Dk in a time period of t, wherein k=1, 2, … and 24; here, the time period value of t is one hour, and the electricity consumption time period is divided by acquiring the electricity consumption in 24 hours.
S3: then taking T as a time period and acquiring the total electricity consumption in the time period as Dz, wherein z=1, 2, …,And the power consumption peak, the power consumption normal and the power consumption valley are divided according to the total power consumption Dz and the time period; here, the specific value of T is set by the operator.
And the like, all living areas i are divided, and the working areas are divided in the same way.
Step two: then analyzing the analysis result, and generating a corresponding voltage analysis result by analyzing and judging the voltage of the analysis result, wherein the voltage analysis result comprises the following steps: voltage stabilization and voltage instability, then further analyzing the voltage analysis result to obtain a load analysis result, wherein the load analysis result comprises: overload state and non-overload state, and the specific way of generating load analysis results is as follows:
p1: obtaining the time periods corresponding to the power consumption peak, the power consumption normal and the power consumption valley, respectively recording the time periods as Tg, tz and Td, respectively calculating the average voltage of the time periods and recording the average voltage of the time periods as YTG, YTz and YTd, and simultaneously comparing the average voltage with the transmission voltage;
p2: if the average voltage is lower than the transmission voltage, the power consumption in the corresponding time period is abnormal, the corresponding time period is marked as an abnormal time period, otherwise, if the average voltage is equal to the transmission voltage, the power consumption in the corresponding time period is normal, and the power consumption is not processed;
p3: then, acquiring an abnormal time period, simultaneously acquiring corresponding historical data, and analyzing the abnormal time period according to the historical data, wherein the specific analysis mode is as follows:
p31: taking R as a time period, acquiring historical data in the time period R, simultaneously acquiring the occurrence times of the abnormal time period in the historical data, recording the occurrence times as C, calculating the time duty ratio of the occurrence times, comparing the calculated time duty ratio with a preset value, if the time duty ratio exceeds the preset value, indicating that the occurrence frequency of the abnormal time period exceeds the preset value and generating a secondary analysis signal, otherwise, indicating that the occurrence frequency of the abnormal time period does not exceed the preset value and generating a normal signal; it should be noted that, in normal life or working process, supply of voltage is required to meet requirements, but proper scheduling is required for special situations, if voltage abnormality occurs frequently, it means that abnormal allocation is required for corresponding allocation scheduling.
P32: acquiring all abnormal time periods, acquiring the corresponding highest voltage value record as Ymax, acquiring the continuous working time record of the highest voltage value Ymax as t1, calculating the power record in the t1 working time period as GL1, comparing GL1 with the output power GL2 of the power grid, if GL1 is more than or equal to 0.7GL2, indicating that an overload state exists in the abnormal time period, otherwise, if GL1 is less than 0.7GL2, indicating that the abnormal time period does not reach the overload state;
and by analogy, analyzing all abnormal time periods corresponding to all analysis results to obtain corresponding coincidence analysis results.
Step three: the load analysis result is obtained and analyzed, the power grid circuit is analyzed, distribution scheduling is carried out according to the load analysis result, scheduling information is generated, and the specific mode for generating the scheduling information is as follows:
a1: the method comprises the steps of obtaining a power grid circuit corresponding to an overload state in a load analysis result, performing label processing on the power grid circuit and marking the power grid circuit as e, wherein e=1, 2, … and v, simultaneously obtaining corresponding power marks as GLe, sequencing the power marks from small to large, performing label processing on the power grid circuit without the overload state as r, and marking the power grid circuit as r=1, 2, … and u, and obtaining corresponding power marks as GLr;
a2: then analyzing the power GLr corresponding to the power grid circuit r without overload state, obtaining the change condition of the power GLr of the power grid circuit r in the period time, selecting the power grid circuit with the change value of the power GLr within the preset range, and recording the corresponding power grid circuit as a circuit to be distributed; the specific value of the preset range is set by an operator, the preset range represents the variation degree of the power value, the power consumption condition is stable for the circuit with small variation degree, and the power consumption condition is unstable for the current with large variation degree.
A3: all circuits to be distributed are obtained and sequenced from small to large according to power, then all power grid circuits in overload state are obtained and sequenced from small to small, and meanwhile the two circuits are matched in a one-to-one correspondence mode to generate corresponding scheduling information. The method includes the steps of matching a circuit to be distributed with low power with a power grid circuit in an overload state with high power, and the like to generate scheduling information, wherein the matching of the circuit to be distributed with the power grid circuit in the overload state with high power is the matching in the same power utilization time period.
Step four: the generated scheduling information is obtained and monitored, whether secondary scheduling is needed or not is judged by analyzing the voltage corresponding to the circuit of the scheduling information, and corresponding secondary scheduling information is generated, wherein the secondary scheduling information comprises: the specific way of generating the secondary scheduling information is as follows:
and acquiring a circuit corresponding to the scheduling information, acquiring a voltage corresponding to the circuit, monitoring the voltage, judging whether overload occurs, generating the scheduling information if overload occurs, and otherwise, generating the non-scheduling information. The voltage of the circuit after the scheduling is analyzed, the power is calculated to judge whether the scheduling is needed, and the reallocation scheduling is performed according to the scheduling mode in the third step for the situation that the scheduling is needed.
And all that is not described in detail in this specification is well known to those skilled in the art.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (6)
1. The method for dispatching the full-element regulation power grid based on the historical data is characterized by comprising the following steps of:
step one: dividing different areas to obtain area division information, wherein the area division information comprises: and respectively analyzing the living area and the working area to obtain analysis results, wherein the analysis results comprise: peak electricity consumption, normal electricity consumption and valley electricity consumption;
step two: then analyzing the analysis result, and generating a corresponding voltage analysis result by analyzing and judging the voltage of the analysis result, wherein the voltage analysis result comprises the following steps: voltage stabilization and voltage instability, then further analyzing the voltage analysis result to obtain a load analysis result, wherein the load analysis result comprises: overload and no overload conditions;
step three: the load analysis result is obtained and analyzed, and distribution scheduling is carried out and scheduling information is generated according to the load analysis result by analyzing the power grid circuit;
step four: the generated scheduling information is obtained and monitored, whether secondary scheduling is needed or not is judged by analyzing the voltage corresponding to the circuit of the scheduling information, and corresponding secondary scheduling information is generated, wherein the secondary scheduling information comprises: scheduling is required and not required.
2. The method for dispatching the full-factor regulated power grid based on the historical data according to claim 1, wherein the specific way of generating the analysis result in the first step is as follows:
s1: dividing different areas according to a division standard to obtain living areas and working areas, marking the living areas as i, marking the working areas as n, marking the working areas as n=1, 2, … and m, wherein i=1, 2, … and j;
s2: then, acquiring all living areas i, selecting any living area as a target area at the same time, and acquiring electricity consumption records in the target area as Dk in a time period of t, wherein k=1, 2, … and 24;
s3: then take T as period of time andthe total electricity consumption in the period of time is recorded as Dz, and z=1, 2, …,And the power consumption peak, the power consumption normal and the power consumption valley are divided according to the total power consumption Dz and the time period;
and the like, all living areas i are divided, and the working areas are divided in the same way.
3. The method for dispatching the full-factor regulated power grid based on the historical data according to claim 1, wherein the specific way of generating the load analysis result in the second step is as follows:
p1: obtaining the time periods corresponding to the power consumption peak, the power consumption normal and the power consumption valley, respectively recording the time periods as Tg, tz and Td, respectively calculating the average voltage of the time periods and recording the average voltage of the time periods as YTG, YTz and YTd, and simultaneously comparing the average voltage with the transmission voltage;
p2: if the average voltage is lower than the transmission voltage, the power consumption in the corresponding time period is abnormal, the corresponding time period is marked as an abnormal time period, otherwise, if the average voltage is equal to the transmission voltage, the power consumption in the corresponding time period is normal, and the power consumption is not processed;
p3: and then acquiring an abnormal time period, acquiring corresponding historical data, and analyzing the abnormal time period according to the historical data.
4. The method for scheduling a full-factor regulated power grid based on historical data according to claim 3, wherein the specific analysis mode of the abnormal time period in the P3 is as follows:
p31: taking R as a time period, acquiring historical data in the time period R, simultaneously acquiring the occurrence times of the abnormal time period in the historical data, recording the occurrence times as C, calculating the time duty ratio of the occurrence times, comparing the calculated time duty ratio with a preset value, if the time duty ratio exceeds the preset value, indicating that the occurrence frequency of the abnormal time period exceeds the preset value and generating a secondary analysis signal, otherwise, indicating that the occurrence frequency of the abnormal time period does not exceed the preset value and generating a normal signal;
p32: acquiring all abnormal time periods, acquiring the corresponding highest voltage value record as Ymax, acquiring the continuous working time record of the highest voltage value Ymax as t1, calculating the power record in the t1 working time period as GL1, comparing GL1 with the output power GL2 of the power grid, if GL1 is more than or equal to 0.7GL2, indicating that an overload state exists in the abnormal time period, otherwise, if GL1 is less than 0.7GL2, indicating that the abnormal time period does not reach the overload state;
and by analogy, analyzing all abnormal time periods corresponding to all analysis results to obtain corresponding coincidence analysis results.
5. The method for dispatching the power grid based on the historical data according to claim 1, wherein the specific way of generating the dispatching information in the third step is as follows:
a1: the method comprises the steps of obtaining a power grid circuit corresponding to an overload state in a load analysis result, performing label processing on the power grid circuit and marking the power grid circuit as e, wherein e=1, 2, … and v, simultaneously obtaining corresponding power marks as GLe, sequencing the power marks from small to large, performing label processing on the power grid circuit without the overload state as r, and marking the power grid circuit as r=1, 2, … and u, and obtaining corresponding power marks as GLr;
a2: then analyzing the power GLr corresponding to the power grid circuit r without overload state, obtaining the change condition of the power GLr of the power grid circuit r in the period time, selecting the power grid circuit with the change value of the power GLr within the preset range, and recording the corresponding power grid circuit as a circuit to be distributed;
a3: all circuits to be distributed are obtained and sequenced from small to large according to power, then all power grid circuits in overload state are obtained and sequenced from small to small, and meanwhile the two circuits are matched in a one-to-one correspondence mode to generate corresponding scheduling information.
6. The method for adjusting power grid dispatching based on all elements of historical data according to claim 1, wherein the specific way of generating the secondary dispatching information in the fourth step is as follows:
and acquiring a circuit corresponding to the scheduling information, acquiring a voltage corresponding to the circuit, monitoring the voltage, judging whether overload occurs, generating the scheduling information if overload occurs, and otherwise, generating the non-scheduling information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311464493.XA CN117200461B (en) | 2023-11-07 | 2023-11-07 | All-element adjustment power grid dispatching method based on historical data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311464493.XA CN117200461B (en) | 2023-11-07 | 2023-11-07 | All-element adjustment power grid dispatching method based on historical data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117200461A true CN117200461A (en) | 2023-12-08 |
| CN117200461B CN117200461B (en) | 2024-03-01 |
Family
ID=88989081
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311464493.XA Active CN117200461B (en) | 2023-11-07 | 2023-11-07 | All-element adjustment power grid dispatching method based on historical data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117200461B (en) |
Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102737286A (en) * | 2012-04-23 | 2012-10-17 | 中国电力科学研究院 | Online risk analysis system and method for regional power grid |
| CN103944178A (en) * | 2014-04-08 | 2014-07-23 | 国网电力科学研究院 | Optimized dispatching method for energy balancing of smart distribution network |
| WO2019233047A1 (en) * | 2018-06-07 | 2019-12-12 | 国电南瑞科技股份有限公司 | Power grid dispatching-based operation and maintenance method |
| CN110726866A (en) * | 2019-10-24 | 2020-01-24 | 云南云电同方科技有限公司 | High-voltage-level voltage qualification rate monitoring method and device |
| CN112560940A (en) * | 2020-12-14 | 2021-03-26 | 广东电网有限责任公司广州供电局 | Power utilization abnormity detection method, device, equipment and storage medium |
| CN112651849A (en) * | 2020-12-29 | 2021-04-13 | 广东电网有限责任公司电力科学研究院 | Voltage monitoring abnormal data identification method and system based on unbalanced data set |
| CN113644652A (en) * | 2021-08-12 | 2021-11-12 | 华北电力大学 | Load regulation and control optimization system based on user uncertainty behavior |
| CN113890187A (en) * | 2021-09-09 | 2022-01-04 | 新乡市万新电气有限公司 | Intelligent low pressure measurement and control terminal of thing networking |
| CN114186869A (en) * | 2021-12-14 | 2022-03-15 | 上海飞冉电力安装工程有限公司 | Urban distribution network intelligent transformation evaluation system |
| CN114336604A (en) * | 2021-12-28 | 2022-04-12 | 东旭蓝天智慧能源科技有限公司 | Coordination peak regulation method based on power grid transmission capacity and power grid safety |
| CN115060998A (en) * | 2022-06-23 | 2022-09-16 | 博锐尚格科技股份有限公司 | Method, device, equipment and medium for determining power utilization abnormity of power transmission line |
| JP2023004704A (en) * | 2021-06-28 | 2023-01-17 | 東京電力ホールディングス株式会社 | Load curve estimation device, load curve estimation method and program |
| CN116073372A (en) * | 2023-02-01 | 2023-05-05 | 江苏杰拉尔智能科技有限公司 | Intelligent electricity utilization-based safety monitoring management system and method |
| CN116260248A (en) * | 2023-03-23 | 2023-06-13 | 费莱(浙江)科技有限公司 | Data monitoring method and system for electric energy balance management |
| CN116544946A (en) * | 2023-05-25 | 2023-08-04 | 浙江浙能能源服务有限公司 | Construction method of power grid dispatching control model |
| WO2023168950A1 (en) * | 2022-03-11 | 2023-09-14 | 浙江万胜智能科技股份有限公司 | Data collection method and system for smart meter-reading terminal |
| CN116990626A (en) * | 2023-09-27 | 2023-11-03 | 国网甘肃省电力公司张掖供电公司 | Alternating current power grid voltage transmission state monitoring method and system |
-
2023
- 2023-11-07 CN CN202311464493.XA patent/CN117200461B/en active Active
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102737286A (en) * | 2012-04-23 | 2012-10-17 | 中国电力科学研究院 | Online risk analysis system and method for regional power grid |
| CN103944178A (en) * | 2014-04-08 | 2014-07-23 | 国网电力科学研究院 | Optimized dispatching method for energy balancing of smart distribution network |
| WO2019233047A1 (en) * | 2018-06-07 | 2019-12-12 | 国电南瑞科技股份有限公司 | Power grid dispatching-based operation and maintenance method |
| CN110726866A (en) * | 2019-10-24 | 2020-01-24 | 云南云电同方科技有限公司 | High-voltage-level voltage qualification rate monitoring method and device |
| CN112560940A (en) * | 2020-12-14 | 2021-03-26 | 广东电网有限责任公司广州供电局 | Power utilization abnormity detection method, device, equipment and storage medium |
| CN112651849A (en) * | 2020-12-29 | 2021-04-13 | 广东电网有限责任公司电力科学研究院 | Voltage monitoring abnormal data identification method and system based on unbalanced data set |
| JP2023004704A (en) * | 2021-06-28 | 2023-01-17 | 東京電力ホールディングス株式会社 | Load curve estimation device, load curve estimation method and program |
| CN113644652A (en) * | 2021-08-12 | 2021-11-12 | 华北电力大学 | Load regulation and control optimization system based on user uncertainty behavior |
| CN113890187A (en) * | 2021-09-09 | 2022-01-04 | 新乡市万新电气有限公司 | Intelligent low pressure measurement and control terminal of thing networking |
| CN114186869A (en) * | 2021-12-14 | 2022-03-15 | 上海飞冉电力安装工程有限公司 | Urban distribution network intelligent transformation evaluation system |
| CN114336604A (en) * | 2021-12-28 | 2022-04-12 | 东旭蓝天智慧能源科技有限公司 | Coordination peak regulation method based on power grid transmission capacity and power grid safety |
| WO2023168950A1 (en) * | 2022-03-11 | 2023-09-14 | 浙江万胜智能科技股份有限公司 | Data collection method and system for smart meter-reading terminal |
| CN115060998A (en) * | 2022-06-23 | 2022-09-16 | 博锐尚格科技股份有限公司 | Method, device, equipment and medium for determining power utilization abnormity of power transmission line |
| CN116073372A (en) * | 2023-02-01 | 2023-05-05 | 江苏杰拉尔智能科技有限公司 | Intelligent electricity utilization-based safety monitoring management system and method |
| CN116260248A (en) * | 2023-03-23 | 2023-06-13 | 费莱(浙江)科技有限公司 | Data monitoring method and system for electric energy balance management |
| CN116544946A (en) * | 2023-05-25 | 2023-08-04 | 浙江浙能能源服务有限公司 | Construction method of power grid dispatching control model |
| CN116990626A (en) * | 2023-09-27 | 2023-11-03 | 国网甘肃省电力公司张掖供电公司 | Alternating current power grid voltage transmission state monitoring method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117200461B (en) | 2024-03-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9812885B2 (en) | Battery intelligent management method, battery intelligent management apparatus, and battery | |
| CN103903196B (en) | A kind of dispatching of power netwoks of considering ageing equipment factor moves real-time methods of risk assessment | |
| US20050114057A1 (en) | Method for power quality summary and trending | |
| KR102077736B1 (en) | Energy storage system with black box for fire analysis | |
| CN116633002B (en) | UV variable frequency power supply parallel operation control system based on artificial intelligence | |
| CN114928166B (en) | Medical equipment power distribution monitoring management system | |
| CN116691442B (en) | Fault monitoring method and system for battery management system in battery charging equipment | |
| CN114048999A (en) | Household energy management system | |
| JP2005312142A (en) | Power consumption management system | |
| CN117200461B (en) | All-element adjustment power grid dispatching method based on historical data | |
| CN112465367A (en) | Method for detecting power line fault by using computer simulation analysis software | |
| CN116885766A (en) | Control method and system for grid-connected operation of distributed power supply | |
| CN112488361B (en) | Transformer area low voltage prediction method and device based on big data | |
| CN117318305A (en) | Power consumption load monitoring control system | |
| CN116345687A (en) | User behavior safety early warning system of power monitoring system | |
| CN109670550B (en) | Power distribution terminal maintenance decision method and device | |
| CN115483752A (en) | Comprehensive uninterrupted power operation load regulation and matching method based on emergency power supply vehicle | |
| CN102944790A (en) | Enterprise power consumption information detection method and system | |
| CN112581021B (en) | Method for automatically evaluating superiority and inferiority of operation scheme based on analytic hierarchy process | |
| CN110824267A (en) | Information processing method and device and energy storage system | |
| CN113902317A (en) | Power distribution network line operation risk analysis system and method | |
| CN109308529B (en) | Unit excitation function comprehensive performance evaluation method applied to network source platform | |
| CN112348373A (en) | Intelligent evaluation method and evaluation system for power grid operation risk | |
| CN117410986B (en) | Energy-saving power distribution control system and method for multi-load power distribution cabinet | |
| CN115065065A (en) | Power transmission network safety maintenance test system and test method for power 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 |