CN104134169A - Calculation method based on peak and valley period electrical load weights - Google Patents
Calculation method based on peak and valley period electrical load weights Download PDFInfo
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- CN104134169A CN104134169A CN201410407888.0A CN201410407888A CN104134169A CN 104134169 A CN104134169 A CN 104134169A CN 201410407888 A CN201410407888 A CN 201410407888A CN 104134169 A CN104134169 A CN 104134169A
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- 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
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
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Abstract
The invention discloses a calculation method based on peak and valley period electrical load weights. The electrical periods of the 10KV bus tip, the peak, the valley and the flat of a power grid are calculated; 10KV bus load information and historical load data are split into a 10KV switch outgoing line in different periods, 10KV switch outgoing line load information and historical load data are split into a distribution room transformer in different periods, according to electrical types, distribution room transformer load information and historical load data are split into corresponding class power consumers in different periods, and corresponding load weights are calculated; according to the corresponding class power consumers, load information and historical load data are split into the power consumers in different periods; according to a power grid topological relation, the weights of loads in different periods of the power consumers are calculated; the weights in the tip electrical period, the peak electrical period, the valley electrical period and the flat electrical period of the power consumers serve as electrical parameters of virtual energy accumulation control technology, and the electrical loads are controlled in a peak shifting mode. Accurate prediction of the load peak and valley periods of the regional power grid is achieved, electricity consumption of the peak period of the power grid can be directionally reduced, and electricity consumption of the valley period of the power grid is increased.
Description
Technical field
The invention belongs to electric power network technical field, relate in particular to a kind of computing method based on peak interval of time power load weight.
Background technology
Current known power load peak interval of time is that electric system is summed up and set according to the Changing Pattern of total load curve, it is accurate that power load peak interval of time cannot be done, each regional power grid error is difficult to avoid, causes region peak load shifting effect specific aim poor.
Dsm: under the support of government regulation and policy; take effectively excitation and guiding measure and suitable function mode; by genco, grid company, ESCO, social intermediary, product vendor, power consumer etc., jointly pull together; improve terminal power consumption efficiency and change power mode; when meeting equally with Electricity Functional, reduce electric quantity consumption and electricity needs; reach and economize on resources and protection of the environment, realize the management activity that social benefit is best, each side is benefited, least cost energy services is carried out.
Peak load shifting: a part of peak load is moved to low-valley interval, thereby the peak load of minimizing operation of power networks is poor, has realized the object of saving the energy.
Virtual energy storage technology: be a kind of based on demand Side Management and time-of-use tariffs strategy, the raising consumer paddy section power consumption of realizing by intelligent grid, reduces load and energy administrative skill sharp, crest segment power consumption.Comprise the shutoff of avoiding the peak hour, the pressure regulation of avoiding the peak hour, avoid the peak hour and adjust three kinds of control modes of ginseng.
Summary of the invention
The object of the embodiment of the present invention is to provide a kind of computing method based on peak interval of time power load weight, being intended to solve current known power load peak interval of time is that electric system is summed up and set according to the Changing Pattern of total load curve, it is accurate that power load peak interval of time cannot be done, each regional power grid error is difficult to avoid, causes the poor problem of region peak load shifting effect specific aim.
The embodiment of the present invention is achieved in that a kind of computing method based on peak interval of time power load weight, should the computing method based on peak interval of time power load weight comprise:
Step 1, according to 10KV bus load information and historical load data, calculates point, peak, paddy, flat each power load period;
Step 2, the 10KV switch outlet that at times 10KV bus load information and historical load data broken, and calculate corresponding load weight;
Step 3, at times by 10KV switch outlet information on load and historical load data partition Dao Tai district transformer, and calculates corresponding load weight;
Step 4, according to electricity consumption type, Jiang Tai district transformer load information and the historical load data respective class power consumer that breaks at times, and calculate corresponding load weight;
Step 5, according to respective class power consumer, power consumer at times breaks information on load and historical load data to;
Step 6, calculates the power consumer shared weight of loading at times according to power network topology relation;
Step 7, the power consumption parameter using power consumer point cutting edge of a knife or a sword paddy flat electricity consumption period weight as virtual energy storage control technology, to the power load control of avoiding the peak hour;
Further, power load splits according to peak interval of time.
When further, power load splits according to peak interval of time, press topological relationship calculation load weight.
Further, step 4 is according to electricity consumption type, Jiang Tai district transformer load information and the historical load data respective class power consumer that breaks at times, and calculate corresponding load weight.
Further, step 6 is based on power network topology relation, and different level weight accumulative total multiplies each other, and can calculate the corresponding various level load of the different peak interval of time of power consumer weight.
Further, the statistics phase of peak interval of time power load weight can be year, the moon, week, day any time period.
Further, the power consumption parameter of step 7 using power consumer point cutting edge of a knife or a sword paddy flat electricity consumption period weight as virtual energy storage control technology, to the power load control of avoiding the peak hour.
Computing method based on peak interval of time power load weight provided by the invention, load data by electrical network 10KV bus splits dissimilar power consumer according to peak interval of time, realized the accurate prediction of regional power grid peak interval of time load, by year, the moon, week, day different measurement period, can accurately calculate power consumer in the shared weight of different peak interval of time power loads, be conducive to by virtual energy storage technology, the directed electrical network crest segment power consumption that reduces, improve electric-net valley section power consumption, thereby realize energy-saving and cost-reducing object.
Accompanying drawing explanation
Fig. 1 is the computing method process flow diagram based on peak interval of time power load weight that the embodiment of the present invention provides;
Fig. 2 is the topological structure of electric schematic diagram that the embodiment of the present invention provides;
Fig. 3 is that the topological structure of electric electricity consumption type that the embodiment of the present invention provides merges schematic diagram.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with embodiment, the present invention is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
Below in conjunction with drawings and the specific embodiments, application principle of the present invention is further described.
As shown in Figure 1, the computing method based on peak interval of time power load weight of the embodiment of the present invention comprise the following steps:
S101: according to 10KV bus load information and historical load data, calculate point, peak, paddy, flat each power load period;
S102: the 10KV switch outlet that at times 10KV bus load information and historical load data broken, and calculate corresponding load weight;
S103: at times by 10KV switch outlet information on load and historical load data partition Dao Tai district transformer, and calculate corresponding load weight;
S104: according to electricity consumption type, Jiang Tai district transformer load information and the historical load data respective class power consumer that breaks at times, and calculate corresponding load weight;
S105: according to respective class power consumer, power consumer at times breaks information on load and historical load data to;
S106: calculate the power consumer shared weight of loading at times according to power network topology relation, the weight of loading power consumer is at times multiplied by the corresponding electricity consumption type weight of loading at times and is multiplied by the corresponding platform district transformer weight of loading at times and is multiplied by the corresponding 10KV switch outlet weight of loading at times, can calculate the load weight of the corresponding 10KV bus of the different peak interval of time of power consumer.The statistics phase of peak interval of time power load weight can be year, the moon, week, day any time period;
S107: the power consumption parameter using power consumer point cutting edge of a knife or a sword paddy flat electricity consumption period weight as virtual energy storage control technology, to the power load control of avoiding the peak hour;
Specific embodiments of the invention:
As shown in Figure 2,10KV bus in this electrical network is with 10KV switch 1 and 10KV switch 2,10KV switch 1 is with desk-top transformer 1 and desk-top transformer 2,10KV switch 2 is with desk-top transformer 3 and desk-top transformer 4, according to step (3), at times by 10KV switch outlet information on load and historical load data partition Dao Tai district transformer, and calculate corresponding load weight.As shown in Figure 3, desk-top transformer 1 is with two class power consumers.Resident living power utility class, business electricity consumption class.According to step S105 according to electricity consumption type, Jiang Tai district transformer load information and the historical load data respective class power consumer that breaks at times, and calculate corresponding load weight.Finally, according to step S106, according to power network topology relation, calculate the power consumer shared weight of loading at times.The power consumption parameter of step S107 using power consumer point cutting edge of a knife or a sword paddy flat electricity consumption period weight as virtual energy storage control technology, to the power load control of avoiding the peak hour.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any modifications of doing within the spirit and principles in the present invention, be equal to and replace and improvement etc., within all should being included in protection scope of the present invention.
Claims (8)
1. the computing method based on peak interval of time power load weight, is characterized in that, should the computing method based on peak interval of time power load weight comprise:
Step 1, according to 10KV bus load information and historical load data, calculates point, peak, paddy, flat each power load period;
Step 2, the 10KV switch outlet that at times 10KV bus load information and historical load data broken, and calculate corresponding load weight;
Step 3, at times by 10KV switch outlet information on load and historical load data partition Dao Tai district transformer, and calculates corresponding load weight;
Step 4, according to electricity consumption type, Jiang Tai district transformer load information and the historical load data respective class power consumer that breaks at times, and calculate corresponding load weight;
Step 5, according to respective class power consumer, power consumer at times breaks information on load and historical load data to;
Step 6, calculates the power consumer shared weight of loading at times according to power network topology relation;
Step 7, the power consumption parameter using power consumer point cutting edge of a knife or a sword paddy flat electricity consumption period weight as virtual energy storage control technology, to the power load control of avoiding the peak hour.
2. the computing method based on peak interval of time power load weight as claimed in claim 1, is characterized in that, power load splits according to peak interval of time.
3. the computing method based on peak interval of time power load weight as claimed in claim 1, is characterized in that, press topological relationship calculation load weight when power load splits according to peak interval of time.
4. computing method based on peak interval of time power load weight as claimed in claim 1, it is characterized in that, step 4 is according to electricity consumption type, Jiang Tai district transformer load information and the historical load data respective class power consumer that breaks at times, and calculate corresponding load weight.
5. the computing method based on peak interval of time power load weight as claimed in claim 1, is characterized in that, the flat power load weight of sharp cutting edge of a knife or a sword paddy is based on power network topology relation, and weighing computation method is:
6. the computing method based on peak interval of time power load weight as claimed in claim 1, is characterized in that, based on power network topology relation, different level weight accumulative total multiplies each other, and calculate the corresponding various level load of the different peak interval of time of power consumer weight.
7. the computing method based on peak interval of time power load weight as claimed in claim 1, is characterized in that, the statistics phase of peak interval of time power load weight can be year, the moon, week, day any time period.
8. the computing method based on peak interval of time power load weight as claimed in claim 1, is characterized in that, the power consumption parameter of step 7 using power consumer point cutting edge of a knife or a sword paddy flat electricity consumption period weight as virtual energy storage control technology, to the power load control of avoiding the peak hour.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105004061A (en) * | 2015-07-20 | 2015-10-28 | 国网天津市电力公司 | Electric water heater peak shifting parameter adjusting control system and load management method thereof |
| CN105023062A (en) * | 2015-07-20 | 2015-11-04 | 国网天津市电力公司 | Electrical load weight management system and method based on peak and valley time periods |
| CN105046360A (en) * | 2015-07-20 | 2015-11-11 | 国网天津市电力公司 | Power load weight management system based on peak-valley time period and peak-valley time period management method |
| CN106300334A (en) * | 2015-06-10 | 2017-01-04 | 中国石油天然气股份有限公司 | Electric energy dispatching method and device |
| CN106992525A (en) * | 2017-05-26 | 2017-07-28 | 国网山东省电力公司泰安供电公司 | Management of power load method and apparatus |
| CN109842141A (en) * | 2019-03-04 | 2019-06-04 | 曹麾 | Low-voltage platform area peak load balances intelligent management |
| CN110490374A (en) * | 2019-08-02 | 2019-11-22 | 国网天津市电力公司 | A kind of peak interval of time calculation method based on virtual energy storage technology |
| CN113869600A (en) * | 2021-10-18 | 2021-12-31 | 国网江苏省电力有限公司营销服务中心 | Peak-valley difference medium-and-long-term prediction method based on random forest and secondary correction |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106300334A (en) * | 2015-06-10 | 2017-01-04 | 中国石油天然气股份有限公司 | Electric energy dispatching method and device |
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| CN105004061A (en) * | 2015-07-20 | 2015-10-28 | 国网天津市电力公司 | Electric water heater peak shifting parameter adjusting control system and load management method thereof |
| CN105023062A (en) * | 2015-07-20 | 2015-11-04 | 国网天津市电力公司 | Electrical load weight management system and method based on peak and valley time periods |
| CN105046360A (en) * | 2015-07-20 | 2015-11-11 | 国网天津市电力公司 | Power load weight management system based on peak-valley time period and peak-valley time period management method |
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| CN109842141A (en) * | 2019-03-04 | 2019-06-04 | 曹麾 | Low-voltage platform area peak load balances intelligent management |
| CN110490374A (en) * | 2019-08-02 | 2019-11-22 | 国网天津市电力公司 | A kind of peak interval of time calculation method based on virtual energy storage technology |
| CN113869600A (en) * | 2021-10-18 | 2021-12-31 | 国网江苏省电力有限公司营销服务中心 | Peak-valley difference medium-and-long-term prediction method based on random forest and secondary correction |
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Address after: 300010 Tianjin city Hebei District Wujing Road No. 39 Applicant after: State Grid Corporation of China Applicant after: State Grid Tianjin Electric Power Company Address before: 100031 Xicheng District West Chang'an Avenue, No. 86, Beijing Applicant before: State Grid Corporation of China Applicant before: State Grid Tianjin Electric Power Company |
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Application publication date: 20141105 |