CN119209553A - Area load management method and system of intelligent distribution transformer terminal based on local demand - Google Patents
Area load management method and system of intelligent distribution transformer terminal based on local demand Download PDFInfo
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- CN119209553A CN119209553A CN202411636071.0A CN202411636071A CN119209553A CN 119209553 A CN119209553 A CN 119209553A CN 202411636071 A CN202411636071 A CN 202411636071A CN 119209553 A CN119209553 A CN 119209553A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/04—Circuit arrangements for AC mains or AC distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
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- Algebra (AREA)
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Abstract
The application discloses a method and a system for managing a district load of an intelligent distribution transformer terminal based on local requirements. The method comprises the steps of dividing load prediction time of a selected test distribution transformer area into 12 month time periods each year, dividing each month time period into 30 day time periods, respectively counting historical data of each month time period and each day time period of the test distribution transformer area, carrying out load prediction on the test distribution transformer area to obtain early warning indexes, carrying out load management on the test distribution transformer area, carrying out data analysis and integration by utilizing a mathematical formula based on power, wind speed and illumination data acquired by an intelligent distribution transformer terminal, calculating early warning indexes, carrying out load management on the test distribution transformer area according to the early warning indexes, and carrying out load prediction on the distribution transformer area based on a load increase rate when an E value is lower than a preset threshold, and carrying out overload early warning. By utilizing the scheme of the application, the load prediction is carried out on the running condition of the platform region, so that the power supply capacity of the urban power distribution network can be effectively improved.
Description
Technical Field
The invention relates to the technical field of power distribution, in particular to a method and a system for managing a district load of an intelligent distribution transformer terminal based on local requirements.
Background
The intelligent distribution transformer terminal is an assigned electric transformer monitoring terminal (distribution transformer supervisory terminal unit, TTU) which is a typical representative of intelligent terminals of a power distribution system, and has the basic functions of realizing real-time information acquisition and control of the power distribution transformer, transmitting acquired information to a main station or other intelligent devices and providing data required by operation control and management of the power distribution system.
At present, most researches only pay attention to the advantages of the intelligent distribution transformer terminal for improving information acquisition and communication efficiency, the intelligent distribution transformer terminal is not combined with the operation depth of a power distribution system, and after the intelligent distribution transformer terminal is accessed, effective management on the load of a transformer area is lacking.
Disclosure of Invention
The invention aims to provide a method and a system for managing the load of a platform region of an intelligent distribution transformer terminal based on local requirements, so as to improve the effective management of the load of the platform region.
In order to achieve the purpose of the invention, the technical scheme provided by the invention is as follows:
First aspect
The invention provides a local demand-based intelligent distribution transformer terminal platform load management method, which comprises the following steps:
S1, dividing the load prediction time of a selected test distribution transformer area into 12 month time periods each year, wherein each month time period is divided into 30 day time periods;
Step S2, respectively counting historical data of each month time period and each day time period of the test distribution transformer area, wherein the historical data comprise daily average load P t, photovoltaic wall-mounted power P pvs, rated power P rated of distributed wind power, cut-in wind speed v ci, cut-out wind speed v co and rated wind speed v rated, and wind speeds v and r s represent rated illumination intensity and r is illumination intensity;
And step S3, carrying out load prediction of the test distribution transformer area based on the historical data to obtain early warning indexes, and carrying out load management of the test distribution transformer area according to the early warning indexes, wherein the method specifically comprises the following steps:
step S3.1, calculating the total current of the test distribution transformer area, wherein the formula is as follows:
Aij＝∑(aij)m
wherein A ij is the total current of the station area on the ith month and the jth day, m is the number of lines, a ij is the current of each line, and the calculation formula is as follows:
Wherein P pv is the rated power of the distributed photovoltaic, P dwg is the active power output of wind power, and Ve is the rated voltage;
step S3.2, calculating an early warning index E by combining the current of each line, wherein the early warning index E is specifically as follows:
wherein m is the number of lines and n is the number of contacts;
Wherein X oj＝max(Xij), ρ is a number between 0 and 1;
And S3.3, carrying out test distribution transformer area load management according to the early warning index, and carrying out area load prediction based on the load increase rate and carrying out overload early warning when the E value is lower than a preset threshold value.
The calculation mode of the wind power active output P dwg is as follows:
the calculation mode of the rated power P pv of the distributed photovoltaic is as follows:
second aspect
The invention provides a district load management system of an intelligent distribution transformer terminal based on local requirements, which comprises a time dividing unit, a historical data statistics unit and a load management unit, wherein the time dividing unit is used for dividing the time of the district load of the intelligent distribution transformer terminal;
the time dividing unit is used for dividing the load prediction time of the selected test distribution transformer area into 12 month time periods each year, and each month time period is divided into 30 day time periods;
The historical data statistics unit is used for respectively counting historical data of each month time period and each day time period of the test distribution transformer area, wherein the historical data comprise daily average load P t, photovoltaic wall-hung meter power P pvs, rated power P rated of distributed wind power, cut-in wind speed v ci, cut-out wind speed v co and rated wind speed v rated, wind speeds v and r s represent rated illumination intensity, and r is illumination intensity;
The load management unit is used for predicting the load of the test distribution transformer area based on the historical data, obtaining an early warning index and carrying out load management of the test distribution transformer area according to the early warning index, and specifically comprises the following steps:
step S3.1, calculating the total current of the test distribution transformer area, wherein the formula is as follows:
Aij＝∑(aij)m
wherein A ij is the total current of the station area on the ith month and the jth day, m is the number of lines, a ij is the current of each line, and the calculation formula is as follows:
Wherein P pv is the rated power of the distributed photovoltaic, P dwg is the active power output of wind power, and Ve is the rated voltage;
step S3.2, calculating an early warning index E by combining the current of each line, wherein the early warning index E is specifically as follows:
wherein m is the number of lines and n is the number of contacts;
Wherein X oj＝max(Xij), ρ is a number between 0 and 1;
And S3.3, carrying out test distribution transformer area load management according to the early warning index, and carrying out area load prediction based on the load increase rate and carrying out overload early warning when the E value is lower than a preset threshold value.
The calculation mode of the wind power active output p dwg is as follows:
the calculation mode of the rated power P pv of the distributed photovoltaic is as follows:
compared with the prior art, the invention has the beneficial effects that:
Based on the power, wind speed and illumination data acquired by the intelligent distribution transformer terminal, the application utilizes a newly-built mathematical formula model to perform data analysis and integration, calculates an early warning index, performs test distribution transformer area load management according to the early warning index, performs area load prediction based on a load increase rate when an E value is lower than a preset threshold, and performs overload early warning. By utilizing the scheme of the application, the load prediction is carried out on the running condition of the platform region, so that the power supply capacity of the urban power distribution network can be effectively improved.
Drawings
Fig. 1 is a schematic flow chart of a method according to an embodiment of the present application.
Detailed Description
The invention is described in further detail below with reference to the drawings and the specific examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, the method for managing the load of the transformer area of the intelligent distribution transformer terminal based on the local requirement provided in this embodiment includes the following steps:
S1, dividing the load prediction time of a selected test distribution transformer area into 12 month time periods each year, wherein each month time period is divided into 30 day time periods;
Step S2, respectively counting historical data of each month time period and each day time period of the test distribution transformer area, wherein the historical data comprise daily average load P t, photovoltaic wall-mounted power P pvs, rated power P rated of distributed wind power, cut-in wind speed v ci, cut-out wind speed v co and rated wind speed v rated, and wind speeds v and r s represent rated illumination intensity and r is illumination intensity;
And step S3, carrying out load prediction of the test distribution transformer area based on the historical data to obtain early warning indexes, and carrying out load management of the test distribution transformer area according to the early warning indexes, wherein the method specifically comprises the following steps:
step S3.1, calculating the total current of the test distribution transformer area, wherein the formula is as follows:
Aij＝Σ(aij)m
wherein A ij is the total current of the station area on the ith month and the jth day, m is the number of lines, a ij is the current of each line, and the calculation formula is as follows:
Wherein P pv is the rated power of the distributed photovoltaic, P dwg is the active power output of wind power, and Ve is the rated voltage;
The calculation mode of the wind power active output p dwg is as follows:
the calculation mode of the rated power P pv of the distributed photovoltaic is as follows:
step S3.2, calculating an early warning index E by combining the current of each line, wherein the early warning index E is specifically as follows:
wherein m is the number of lines and n is the number of contacts;
Wherein X oj＝max(Xij), ρ is a number between 0 and 1;
And S3.3, carrying out test distribution transformer area load management according to the early warning index, and carrying out area load prediction based on the load increase rate and carrying out overload early warning when the E value is lower than a preset threshold value.
Corresponding to the method, the embodiment provides a platform area load management system of an intelligent distribution transformer terminal based on local requirements, which comprises a time dividing unit, a historical data statistics unit and a load management unit;
the time dividing unit is used for dividing the load prediction time of the selected test distribution transformer area into 12 month time periods each year, and each month time period is divided into 30 day time periods;
The historical data statistics unit is used for respectively counting historical data of each month time period and each day time period of the test distribution transformer area, wherein the historical data comprise daily average load P t, photovoltaic wall-hung meter power P pvs, rated power P rated of distributed wind power, cut-in wind speed v ci, cut-out wind speed v co and rated wind speed v rated, wind speeds v and r s represent rated illumination intensity, and r is illumination intensity;
The load management unit is used for predicting the load of the test distribution transformer area based on the historical data, obtaining an early warning index and carrying out load management of the test distribution transformer area according to the early warning index, and specifically comprises the following steps:
step S3.1, calculating the total current of the test distribution transformer area, wherein the formula is as follows:
Aij＝Σ(aij)m
wherein A ij is the total current of the station area on the ith month and the jth day, m is the number of lines, a ij is the current of each line, and the calculation formula is as follows:
Wherein P pv is the rated power of the distributed photovoltaic, P dwg is the active power output of wind power, and Ve is the rated voltage;
The calculation mode of the wind power active output p dwg is as follows:
the calculation mode of the rated power P pv of the distributed photovoltaic is as follows:
step S3.2, calculating an early warning index E by combining the current of each line, wherein the early warning index E is specifically as follows:
wherein m is the number of lines and n is the number of contacts;
Wherein X oj＝max(Xij), ρ is a number between 0 and 1;
And S3.3, carrying out test distribution transformer area load management according to the early warning index, and carrying out area load prediction based on the load increase rate and carrying out overload early warning when the E value is lower than a preset threshold value.
Based on the power, wind speed and illumination data acquired by the intelligent distribution transformer terminal, the application utilizes a newly-built mathematical formula model to perform data analysis and integration, calculates an early warning index, performs test distribution transformer area load management according to the early warning index, performs area load prediction based on a load increase rate when an E value is lower than a preset threshold, and performs overload early warning. By utilizing the scheme of the application, the load prediction is carried out on the running condition of the platform region, so that the power supply capacity of the urban power distribution network can be effectively improved.
In the present application, the known techniques are adopted in all the schemes not described in detail.
The foregoing details of the optional implementation of the embodiment of the present invention have been described in conjunction with the accompanying drawings, but the embodiment of the present invention is not limited to the specific details of the foregoing implementation, and various simple modifications may be made to the technical solution of the embodiment of the present invention within the scope of the technical concept of the embodiment of the present invention, where all the simple modifications belong to the protection scope of the embodiment of the present invention.
Claims (6)
1. A platform area load management method of an intelligent distribution transformer terminal based on local requirements is characterized by comprising the following steps:
S1, dividing the load prediction time of a selected test distribution transformer area into 12 month time periods each year, wherein each month time period is divided into 30 day time periods;
Step S2, respectively counting historical data of each month time period and each day time period of the test distribution transformer area, wherein the historical data comprise daily average load P t, photovoltaic wall-mounted power P pvs, rated power P rated of distributed wind power, cut-in wind speed v ci, cut-out wind speed v co and rated wind speed v rated, and wind speeds v and r s represent rated illumination intensity and r is illumination intensity;
And step S3, carrying out load prediction of the test distribution transformer area based on the historical data to obtain early warning indexes, and carrying out load management of the test distribution transformer area according to the early warning indexes, wherein the method specifically comprises the following steps:
step S3.1, calculating the total current of the test distribution transformer area, wherein the formula is as follows:
Aij＝Σ(aij)m
wherein A ij is the total current of the station area on the ith month and the jth day, m is the number of lines, a ij is the current of each line, and the calculation formula is as follows:
Wherein P pv is the rated power of the distributed photovoltaic, P dwg is the active power output of wind power, and Ve is the rated voltage;
step S3.2, calculating an early warning index E by combining the current of each line, wherein the early warning index E is specifically as follows:
wherein m is the number of lines and n is the number of contacts;
Wherein X oj＝max(Xij), ρ is a number between 0 and 1;
And S3.3, carrying out test distribution transformer area load management according to the early warning index, and carrying out area load prediction based on the load increase rate and carrying out overload early warning when the E value is lower than a preset threshold value.
2. The method for managing the load of the transformer area of the intelligent distribution transformer terminal based on the local requirements according to claim 1, wherein the wind power active output p dwg is calculated as follows:
3. the method for managing the load of the transformer area of the intelligent distribution transformer terminal based on the local requirements according to claim 1, wherein the calculation mode of the rated power P pv of the distributed photovoltaic is as follows:
4. A platform region load management system of an intelligent distribution transformer terminal based on local requirements is characterized by comprising a time dividing unit, a historical data statistics unit and a load management unit;
the time dividing unit is used for dividing the load prediction time of the selected test distribution transformer area into 12 month time periods each year, and each month time period is divided into 30 day time periods;
The historical data statistics unit is used for respectively counting historical data of each month time period and each day time period of the test distribution transformer area, wherein the historical data comprise daily average load P t, photovoltaic wall-hung meter power P pvs, rated power P rated of distributed wind power, cut-in wind speed v ci, cut-out wind speed v co and rated wind speed v rated, wind speeds v and r s represent rated illumination intensity, and r is illumination intensity;
The load management unit is used for predicting the load of the test distribution transformer area based on the historical data, obtaining an early warning index and carrying out load management of the test distribution transformer area according to the early warning index, and specifically comprises the following steps:
step S3.1, calculating the total current of the test distribution transformer area, wherein the formula is as follows:
Aij＝∑(aij)m
wherein A ij is the total current of the station area on the ith month and the jth day, m is the number of lines, a ij is the current of each line, and the calculation formula is as follows:
Wherein P pv is the rated power of the distributed photovoltaic, P dwg is the active power output of wind power, and Ve is the rated voltage;
step S3.2, calculating an early warning index E by combining the current of each line, wherein the early warning index E is specifically as follows:
wherein m is the number of lines and n is the number of contacts;
Wherein X oj＝max(Xij), ρ is a number between 0 and 1;
And S3.3, carrying out test distribution transformer area load management according to the early warning index, and carrying out area load prediction based on the load increase rate and carrying out overload early warning when the E value is lower than a preset threshold value.
5. The system for district load management of intelligent distribution transformer terminals based on local requirements according to claim 4, wherein the wind power active output P dwg is calculated as follows:
6. The system for managing the load of the transformer area of the intelligent distribution transformer terminal based on the local requirements according to claim 4, wherein the rated power P pv of the distributed photovoltaic is calculated as follows:
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| Application Number | Priority Date | Filing Date | Title |
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| CN202411636071.0A CN119209553A (en) | 2024-11-15 | 2024-11-15 | Area load management method and system of intelligent distribution transformer terminal based on local demand |
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| CN202411636071.0A CN119209553A (en) | 2024-11-15 | 2024-11-15 | Area load management method and system of intelligent distribution transformer terminal based on local demand |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN119275834A (en) * | 2024-11-15 | 2025-01-07 | 国网天津市电力公司城西供电分公司 | A load prediction method and system based on distribution transformer area under multiple loads |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN119275834A (en) * | 2024-11-15 | 2025-01-07 | 国网天津市电力公司城西供电分公司 | A load prediction method and system based on distribution transformer area under multiple loads |
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