CN105449670A - Load characteristic analysis method for power distribution network - Google Patents
Load characteristic analysis method for power distribution network Download PDFInfo
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- CN105449670A CN105449670A CN201510919407.9A CN201510919407A CN105449670A CN 105449670 A CN105449670 A CN 105449670A CN 201510919407 A CN201510919407 A CN 201510919407A CN 105449670 A CN105449670 A CN 105449670A
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- load
- characteristic analysis
- day
- distribution network
- load characteristic
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Classifications
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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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
-
- 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]
Abstract
The invention discloses a load characteristic analysis method for a power distribution network. Load characteristic analysis and investigation are basis of power system planning, and is necessary means for understanding and predicting users and markets within the scope of jurisdiction. A resident load and an industrial and commercial load are important parts of a city load; and an investigation on the resident load and the industrial and commercial load is of great significance to load prediction, power supply scheme establishment, urban power network planning, economical operation of the power network and power marketing. According to the method disclosed by the invention, analytic statistics is carried out on the loads in the 10kV power distribution network; daily load characteristics, influence factors and change rules of various loads are searched; a typical day curve is formed; a basis can be provided for work of operation mode arrangement, reasonable planning and the like of the power distribution network; and a support is provided for continuous improvement of advanced applications of the power distribution network.
Description
Technical field
The present invention relates to the analytical applications module in distribution automation system.
Background technology
Electric load is the important component part of electrical network.Load monitoring and the operation of management to transformer station, power plant and whole electric power system significant.It is transformer station's spatial load forecasting, and power plant arranges daily trading planning, determines power system operation mode and the Plant maintenance plan such as main transformer, generating set and transformer station, foundation that newly-built planning is extended in power plant.Simultaneously, after grasping part throttle characteristics, by reasonably, in a planned way arranging the electricity consumption time of all types of user, grid load curve can be optimized, reduce the difference of peak load and minimum load, make load curve figure comparatively smooth, thus be conducive to making full use of generating, power supply unit (main transformer etc.) capacity, improve the economy of system cloud gray model.
Along with the progress of society and popularizing of electric energy, the increasing extent of electric power application is extensive.On the one hand, the feature by electric power system and power consumer electricity consumption determined, electric load has continuity, regular feature; On the other hand, owing to having contacting of countless ties with the many factors such as social, economic, political, meteorological, electric load shows again certain randomness.
Dimension, analytic statistics can be carried out to the load in 10kV distribution, study the daily load characteristic of various load, influencing factor and Changing Pattern, and form typical case's day curve, can be that power distribution network arranges operational mode, the work such as to make rational planning for provides foundation, and provide support for constantly improving of the senior application of distribution.
Summary of the invention
Goal of the invention: in order to grasp the operation characteristic of regional load, the invention provides a kind of distribution network load characteristic analysis method, the method carries out analytic statistics to the load in 10kV distribution, study the daily load characteristic of various load, influencing factor and Changing Pattern, and form typical case's day curve, can be that power distribution network arranges operational mode, the work such as to make rational planning for provides foundation, and provide support for constantly improving of the senior application of distribution.
Technical scheme: for solving the problems of the technologies described above, the technical solution used in the present invention is:
Step 1: according to outlet switch ID, enables topology search inquiry downstream and is with distribution transforming situation, obtain these distribution transformings ID;
Step 2: the load type judging distribution transforming, becoming if public is then resident load, and specially becoming is then industrial and commercial load;
Step 3: obtain capacity of distribution transform, electric current and active power value according to distribution transforming ID;
Step 4: add up the number of users of two type loads, capacity and proportion.
Step 5: after starting Load Characteristic Analysis, obtains the Load Characteristic Analysis parameter arranged by downstream load statistics of features interface;
Step 6: determine the time period of carrying out Load Characteristic Analysis according to parameter, calls dynamic base interface, obtains the active power sampled value in this time period of outlet switch;
Step 7: judge that whether sampled data is complete, if imperfect ejection dialog box reminder-data is imperfect, cannot carry out Load Characteristic Analysis;
Step 8: search out the typical day of the peak day in this time period as Load Characteristic Analysis;
Step 9: the sampled data obtaining this typical case in a few days each distribution transforming in downstream;
Step 10: judge that whether the sampled data of each distribution transforming is complete, if imperfect ejection dialog box reminder-data is imperfect, cannot carry out Load Characteristic Analysis;
Step 11: the switching data of acquisition added up, shows cumulative the data obtained forming curves;
Step 12: the data parameter obtained according to adding up also shows.
Beneficial effect: distribution network load characteristic analysis method provided by the invention, the method achieve and analytic statistics is carried out to the load in 10kV distribution, by studying the daily load characteristic of load, influencing factor and Changing Pattern, and form typical case's day curve, for operational mode arrangement, making rational planning for provides technical support.
Accompanying drawing explanation
Fig. 1 is downstream load statistics of features method.
Fig. 2 is Load Characteristic Analysis method.
Embodiment
1, downstream load statistics of features
Downstream load statistics of features puts several large load kinds such as outlet switch downstream residential electricity consumption load, service trade power load, industry and commerce power load, illuminating and heating power load in order, and count the proportion of total load shared by each type load.The object of this work is the Changing Pattern for grasping different load, and then the typical load curve providing accuracy rate higher is prepared.
Wherein, be two classes by Distribution Network Load Data type definition: residential electricity consumption load and industry and commerce power load.Distribution transforming situation is with by topology search downstream, and the information such as the quantity of the public change (resident load) of acquisition and specially change (industry and commerce load) and rated capacity, electric current and active power, add up two type load numbers of users, total capacity and proportion on this basis.
Concrete steps are as follows:
Step 1: according to outlet switch ID, enables topology search inquiry downstream and is with distribution transforming situation, obtain these distribution transformings ID;
Step 2: the load type judging distribution transforming, becoming if public is then resident load, and specially becoming is then industrial and commercial load;
Step 3: obtain capacity of distribution transform, electric current and active power value according to distribution transforming ID;
Step 4: add up the number of users of two type loads, capacity and proportion.
2, Load Characteristic Analysis
Part throttle characteristics, owing to existing periodically and regularity, therefore finds the regularity of its inherence by Load Characteristic Analysis.This programme adopts index method and curve method to carry out daily load specificity analysis from quantitative and qualitative analysis two aspects.
Index method represents part throttle characteristics by the index of various part throttle characteristics, uses index method analysis load characteristic can describe the development and change of part throttle characteristics quantitatively.Curve method is a kind of the most direct Load Characteristic Analysis method, can represent part throttle characteristics intuitively, being mainly used in qualitative analysis part throttle characteristics by drawing load curve.
Index calculating method:
Daily treatment cost: in the load of typical day entry, maximum one.
Day minimum load: in the load of typical day entry, minimum one.
Daily load rate: the ratio of average load and maximum load, computing formula is as follows:
Day ratio of minimum load to maximum load: day minimum load with the ratio when Daily treatment cost, computing formula is as follows:
Day peak-valley difference: Daily treatment cost and day minimum load difference.
Day peak-valley ratio: day peak-valley difference with the ratio when Daily treatment cost, computing formula is as follows:
Typical day load curve: by one day by the curve that hour (half an hour, 15min) load variations is drawn.
Load Characteristic Analysis step is as follows:
Step 1: after starting Load Characteristic Analysis, obtains the Load Characteristic Analysis parameter arranged by downstream load statistics of features interface;
Step 2: determine the time period of carrying out Load Characteristic Analysis according to parameter, calls dynamic base interface, obtains the active power sampled value in this time period of outlet switch;
Step 3: judge that whether sampled data is complete, if imperfect ejection dialog box reminder-data is imperfect, cannot carry out Load Characteristic Analysis;
Step 4: search out the typical day of the peak day in this time period as Load Characteristic Analysis;
Step 5: call dynamic base interface, obtains the sampled data of this typical case in a few days each distribution transforming in downstream;
Step 6: judge that whether the sampled data of each distribution transforming is complete, if imperfect ejection dialog box reminder-data is imperfect, cannot carry out Load Characteristic Analysis;
Step 7: the switching data of acquisition added up, shows cumulative the data obtained forming curves;
Step 8: the data parameter obtained according to adding up also shows.
In addition, a lot, the above is only the preferred embodiment of the present invention for concrete methods of realizing of the present invention and approach.It should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.The all available prior art of each part not clear and definite in the present embodiment is realized.
Claims (3)
1. a distribution network load characteristic analysis method, is characterized in that, comprises the following steps:
Step 1: according to outlet switch ID, enables topology search inquiry downstream and is with distribution transforming situation, obtain these distribution transformings ID;
Step 2: the load type judging distribution transforming, becoming if public is then resident load, and specially becoming is then industrial and commercial load;
Step 3: obtain capacity of distribution transform, electric current and active power value according to distribution transforming ID;
Step 4: add up the number of users of two type loads, capacity and proportion;
Step 5: after starting Load Characteristic Analysis, obtains the Load Characteristic Analysis parameter arranged by downstream load statistics of features interface;
Step 6: determine the time period of carrying out Load Characteristic Analysis according to parameter, calls dynamic base interface, obtains the active power sampled value in this time period of outlet switch;
Step 7: judge that whether sampled data is complete, if imperfect ejection dialog box reminder-data is imperfect, cannot carry out Load Characteristic Analysis;
Step 8: search out the typical day of the peak day in this time period as Load Characteristic Analysis;
Step 9: the sampled data obtaining this typical case in a few days each distribution transforming in downstream;
Step 10: judge that whether the sampled data of each distribution transforming is complete, if imperfect ejection dialog box reminder-data is imperfect, cannot carry out Load Characteristic Analysis;
Step 11: the switching data of acquisition added up, shows cumulative the data obtained forming curves;
Step 12: the data parameter obtained according to adding up also shows.
2. distribution network load characteristic analysis method according to claim 1, it is characterized in that: adopt index method and curve method two kinds of methods to carry out distribution network load specificity analysis, index method represents part throttle characteristics by the index of various part throttle characteristics, uses index method analysis load property quantification ground to describe the development and change of part throttle characteristics; Curve method is a kind of the most direct Load Characteristic Analysis method, can represent part throttle characteristics intuitively, for qualitative analysis part throttle characteristics by drawing load curve.
3. distribution network load characteristic analysis method according to claim 2, is characterized in that, index calculating method is:
Daily treatment cost: in the load of typical day entry, maximum one;
Day minimum load: in the load of typical day entry, minimum one;
Daily load rate: the ratio of average load and maximum load, computing formula is as follows:
Day ratio of minimum load to maximum load: day minimum load with the ratio when Daily treatment cost, computing formula is as follows:
Day peak-valley difference: Daily treatment cost and day minimum load difference;
Day peak-valley ratio: day peak-valley difference with the ratio when Daily treatment cost, computing formula is as follows:
Typical day load curve: the curve drawn by the load variations of the unit interval in one day.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105930930A (en) * | 2016-04-21 | 2016-09-07 | 国家电网公司 | Load data calibration method based on load characteristic analysis and load prediction technology |
| CN106446345A (en) * | 2016-08-30 | 2017-02-22 | 国网江苏省电力公司 | Distribution network operation indicator processing method based on segmented geographic region |
| CN106447123A (en) * | 2016-10-14 | 2017-02-22 | 国网天津市电力公司 | Typical daily load characteristics based substation locating method and substation locating device |
| CN106779237A (en) * | 2016-12-29 | 2017-05-31 | 天津大学 | A kind of active distribution network load curve Forecasting Methodology from bottom to top |
| CN113131469A (en) * | 2021-04-19 | 2021-07-16 | 广东电网有限责任公司佛山供电局 | Static load analysis method and device |
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| CN104505825A (en) * | 2014-12-15 | 2015-04-08 | 国家电网公司 | Power supply safety diagnosis analysis method for high voltage distribution network |
| EP2950414A1 (en) * | 2013-01-24 | 2015-12-02 | Kabushiki Kaisha Toshiba | Power system control system |
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| CN1457796A (en) * | 2003-04-28 | 2003-11-26 | 南昌弘益科技有限公司 | Ribavirin inhalation powder atomizing agent and its preparing process and anti-virus infection use |
| EP2950414A1 (en) * | 2013-01-24 | 2015-12-02 | Kabushiki Kaisha Toshiba | Power system control system |
| CN104505825A (en) * | 2014-12-15 | 2015-04-08 | 国家电网公司 | Power supply safety diagnosis analysis method for high voltage distribution network |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105930930A (en) * | 2016-04-21 | 2016-09-07 | 国家电网公司 | Load data calibration method based on load characteristic analysis and load prediction technology |
| CN105930930B (en) * | 2016-04-21 | 2021-04-09 | 国电南瑞科技股份有限公司 | Load data calibration method based on load characteristic analysis and load prediction technology |
| CN106446345A (en) * | 2016-08-30 | 2017-02-22 | 国网江苏省电力公司 | Distribution network operation indicator processing method based on segmented geographic region |
| CN106446345B (en) * | 2016-08-30 | 2019-08-20 | 国网江苏省电力公司 | Distribution operating index processing method based on subdivision geographic area |
| CN106447123A (en) * | 2016-10-14 | 2017-02-22 | 国网天津市电力公司 | Typical daily load characteristics based substation locating method and substation locating device |
| CN106779237A (en) * | 2016-12-29 | 2017-05-31 | 天津大学 | A kind of active distribution network load curve Forecasting Methodology from bottom to top |
| CN113131469A (en) * | 2021-04-19 | 2021-07-16 | 广东电网有限责任公司佛山供电局 | Static load analysis method and device |
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| CN105449670B (en) | 2018-03-20 |
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