CN103473601A - System and method for intelligently forecasting short-term loads of power transmission lines - Google Patents
System and method for intelligently forecasting short-term loads of power transmission lines Download PDFInfo
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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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Abstract
The invention discloses a system and a method for intelligently forecasting short-term loads of power transmission lines, and the system comprises a four-in-one state monitoring device, a GPRS (general packet radio service) module, a front-end processor and a data server, wherein the four-in-one state monitoring device is connected with the GPRS module, the GPRS module is connected with the front-end processor, and the front-end processor is connected with the data server. The method comprises the following steps: (1) arranging the four-in-one state monitoring device on a power transmission line, and setting the four-in-one state monitoring device; (2) acquiring data and sending the data to an embedded microprocessor; (3) sending the data to the front-end processor by the embedded microprocessor; (4) sending the data to the data server by the front-end processor; (5) carrying out forecasting by the data server after the data server carries out analytical calculation on the received data. According to the invention, the accuracy of short-term load forecasting can be effectively improved, and a 30-minute safe current forecasting curve can also be provided for dispatching departments as required, so that a power grid can be running more safely and reliably, and a decision basis is provided for the scientific dispatching of power dispatching departments.
Description
Technical field
The invention belongs to the Load Prediction In Power Systems technical field, be specially a kind of transmission line of electricity short term intelligent predicting system and method.
Background technology
The main task of electric system is for all types of user provides economic, reliable and high-quality electric energy, should meet at any time user's workload demand and the requirement of part throttle characteristics.For this reason, in planning and design of power system, operational management and power market transaction, must a prediction accurately be arranged to variation and the part throttle characteristics of workload demand amount.
Transmission line of electricity is as the passway for transmitting electricity in electric system, and its operating load directly affects the ability to transmit electricity of whole piece electrical network.The transmission line of electricity load is predicted the important process as electric power system dispatching, electricity consumption, plan, planning every other day, can advance notice be proposed to generating, making generated output change can be pre-estimated, the arrangement generating start and stop of economical rationality, can predict and the defence accident simultaneously, for the state estimation of electrical network, safe early warning etc. provide important leverage, and under the Electricity Market Operation pattern, the precision of load prediction also is related to the economic interests of power department, and it has become a key areas in modern power industry system operation and management.
The way of conventional transmission line of electricity short-term load forecasting, as load prediction method every other day, be in advance a calendar day complete load prediction every other day, establish electricity consumption plan a few days ago (comprising power purchase plan and generation schedule).Be historical load data used at least with day period interval to be measured one calendar day.And, in actual motion, the actual load on the same day, even be offset with generation is serious in the original plan, also can not be applied in the load prediction of next day.For example, conventional next day load forecasting method, using per quarter some time calendar day for example, as reference point (at 16 o'clock in afternoon), the load value of prediction next day in full-time calendar days 96 point (every 15 minutes points), use this reference point proxima luce (prox. luc) calendar day as Base day (being that the proxima luce (prox. luc) calendar day was from 0 o'clock to 24 o'clock), utilize this Base day or the Base day of comprising before the information on loads of several calendar days), and when the information of the known information on load of calendar day remaining hour (from 0 o'clock to 16 o'clock) it goes without doing prediction.The method does not utilize known information before reference point to do the load prediction of next day, and the precision of the predicted value that it is done can be subject to certain impact.
Summary of the invention
The objective of the invention is the problem existed in traditional load forecasting method, and the deficiency existed in order to overcome prior art, a kind of transmission line of electricity short term intelligent predicting system and method is provided.
To achieve these goals, technical matters solved by the invention realizes by the following technical solutions:
A kind of transmission line of electricity short term intelligent predicting system, comprise four-in-one state monitoring apparatus, GPRS module, front end processor, data server; Described four-in-one state monitoring apparatus is contained on the transmission of electricity circuit and is connected with the GPRS module; Described GPRS module is connected with front end processor; Described front end processor is connected with data server.
Further, the in-built embedded microprocessor of described four-in-one state monitoring apparatus, both sides at embedded microprocessor are provided with connectivity port, wherein a port is connected with temperature sensor, clock module, solar radiation and wind speed module, and another port is connected with induction power taking power module, gsm module, ZigBee module.
Further, described ZigBee module is connected to the wireless data sampling module.
A kind of method of transmission line of electricity short term intelligent predicting comprises the following steps:
(1) the four-in-one state monitoring apparatus is arranged on the transmission of electricity circuit, by transmission line parameter input information four-in-one state monitoring apparatus, four-in-one state monitoring apparatus parameter is carried out to the initialization setting, set prediction day;
(2) around the line temperature obtained, solar radiation and the wind speed etc. that will gather by temperature sensor and solar radiation and wind speed module, the data of environment send in the embedded microprocessor in the four-in-one state monitoring apparatus;
(3) embedded microprocessor sends to the data message of collection in front end processor by the GPRS module;
(4) front end processor is stored calculating to the data that receive, and then the data after processing is sent to data server;
(5) data server is made prediction after the data analysis received is calculated, and provides 30 minutes safety current prediction curves to traffic department, guarantees the electric system reliability service simultaneously.
beneficial effect
the present invention chooses forecast sample by intelligence, overcome the deficiency of existing load prediction technology, adopt advanced transmission line of electricity load dynamic compatibilization and on-line monitoring system, the real time datas such as the circuit operational factor by collecting, environmental parameter (as wind speed), in conjunction with above-described intelligent load forecast technology, are carried out Accurate Prediction to the transmission line of electricity short term; The accuracy that simultaneously can effectively improve short-term load forecasting, can also provide 30 minutes safety current prediction curves to traffic department as required, make electrical network safer with operation reliably, for the science scheduling of power scheduling department provides decision-making foundation.
The accompanying drawing explanation
Fig. 1 is structural representation of the present invention;
Fig. 2 is four-in-one state monitoring apparatus structural representation;
Fig. 3 is workflow diagram of the present invention.
Embodiment
Below in conjunction with the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Embodiment based in the present invention, those of ordinary skills, not making under the creative work prerequisite the every other embodiment obtained, belong to the scope of protection of the invention.
As Figure 1-3, a kind of transmission line of electricity short term intelligent predicting system, comprise four-in-one state monitoring apparatus, GPRS module, front end processor, data server; Described four-in-one state monitoring apparatus is contained on the transmission of electricity circuit and is connected with the GPRS module; Described GPRS module is connected with front end processor; Described front end processor is connected with data server.
Further, the in-built embedded microprocessor of described four-in-one state monitoring apparatus, both sides at embedded microprocessor are provided with connectivity port, wherein a port is connected with temperature sensor, clock module, solar radiation and wind speed module, and another port is connected with induction power taking power module, gsm module, ZigBee module.
Further, described ZigBee module is connected to the wireless data sampling module.
A kind of method of transmission line of electricity short term intelligent predicting comprises the following steps:
(1) the four-in-one state monitoring apparatus is arranged on the transmission of electricity circuit, by transmission line parameter input information four-in-one state monitoring apparatus, four-in-one state monitoring apparatus parameter is carried out to the initialization setting, set prediction day;
(2) around the line temperature obtained, solar radiation and the wind speed etc. that will gather by temperature sensor and solar radiation and wind speed module, the data of environment send in the embedded microprocessor in the four-in-one state monitoring apparatus;
(3) embedded microprocessor sends to the data message of collection in front end processor by the GPRS module;
(4) front end processor is stored calculating to the data that receive, and then the data after processing is sent to data server;
(5) data server is made prediction after the data analysis received is calculated, and provides 30 minutes safety current prediction curves to traffic department, guarantees the electric system reliability service simultaneously.
To those skilled in the art, obviously the invention is not restricted to the details of above-mentioned example embodiment, and in the situation that do not deviate from spirit of the present invention or essential characteristic, can realize the present invention with other concrete form.Therefore, no matter from which point, all should regard embodiment as exemplary, and be nonrestrictive, scope of the present invention is limited by claims rather than above-mentioned explanation, therefore is intended to include in the present invention dropping on the implication that is equal to important document of claim and all changes in scope.
In addition, be to be understood that, although this instructions is described according to embodiment, but not each embodiment only comprises an independently technical scheme, this narrating mode of instructions is only for clarity sake, those skilled in the art should make instructions as a whole, and the technical scheme in each embodiment also can, through appropriate combination, form other embodiments that it will be appreciated by those skilled in the art that.
Claims (4)
1. a transmission line of electricity short term intelligent predicting system, is characterized in that, comprises four-in-one state monitoring apparatus, GPRS module, front end processor, data server; Described four-in-one state monitoring apparatus is contained on the transmission of electricity circuit and is connected with the GPRS module; Described GPRS module is connected with front end processor; Described front end processor is connected with data server.
2. a kind of transmission line of electricity short term intelligent predicting system according to claim 1, it is characterized in that, the in-built embedded microprocessor of described four-in-one state monitoring apparatus, both sides at embedded microprocessor are provided with connectivity port, wherein a port is connected with temperature sensor, clock module, solar radiation and wind speed module, and another port is connected with induction power taking power module, gsm module, ZigBee module.
3. a kind of transmission line of electricity short term intelligent predicting system according to claim 1, is characterized in that, described ZigBee module is connected to the wireless data sampling module.
4. the method for a transmission line of electricity short term intelligent predicting, is characterized in that, comprises the following steps:
(1) the four-in-one state monitoring apparatus is arranged on the transmission of electricity circuit, by transmission line parameter input information four-in-one state monitoring apparatus, four-in-one state monitoring apparatus parameter is carried out to the initialization setting, set prediction day;
(2) around the line temperature obtained, solar radiation and the wind speed etc. that will gather by temperature sensor and solar radiation and wind speed module, the data of environment send in the embedded microprocessor in the four-in-one state monitoring apparatus;
(3) embedded microprocessor sends to the data message of collection in front end processor by the GPRS module;
(4) front end processor is stored calculating to the data that receive, and then the data after processing is sent to data server;
(5) data server is made prediction after the data analysis received is calculated, and provides 30 minutes safety current prediction curves to traffic department, guarantees the electric system reliability service simultaneously.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104242310A (en) * | 2014-10-09 | 2014-12-24 | 国网上海市电力公司 | Power load balancing method for power transmission line |
| CN104578058A (en) * | 2015-01-21 | 2015-04-29 | 上海海能信息科技有限公司 | Five-element load dynamic capacity increasing and on-line monitoring system for power transmission line |
| CN110648248A (en) * | 2019-09-05 | 2020-01-03 | 广东电网有限责任公司 | Control method, device and equipment for power station |
| CN110867062A (en) * | 2019-12-03 | 2020-03-06 | 国家电网有限公司 | Load prediction data acquisition system based on wireless transmission |
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| CN101034806A (en) * | 2006-03-06 | 2007-09-12 | 华东电力试验研究院 | Dynamic monitoring and expansion system of power transmission line and its expansion method |
| CN102982393A (en) * | 2012-11-09 | 2013-03-20 | 山东电力集团公司聊城供电公司 | Online prediction method of electric transmission line dynamic capacity |
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- 2013-08-20 CN CN2013103637303A patent/CN103473601A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101034806A (en) * | 2006-03-06 | 2007-09-12 | 华东电力试验研究院 | Dynamic monitoring and expansion system of power transmission line and its expansion method |
| CN102982393A (en) * | 2012-11-09 | 2013-03-20 | 山东电力集团公司聊城供电公司 | Online prediction method of electric transmission line dynamic capacity |
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| 凌平 等: "提高输电线路输送容量动态监测增容技术的研究", 《中国电力》 * |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104242310A (en) * | 2014-10-09 | 2014-12-24 | 国网上海市电力公司 | Power load balancing method for power transmission line |
| CN104578058A (en) * | 2015-01-21 | 2015-04-29 | 上海海能信息科技有限公司 | Five-element load dynamic capacity increasing and on-line monitoring system for power transmission line |
| CN110648248A (en) * | 2019-09-05 | 2020-01-03 | 广东电网有限责任公司 | Control method, device and equipment for power station |
| CN110648248B (en) * | 2019-09-05 | 2023-04-07 | 广东电网有限责任公司 | Control method, device and equipment for power station |
| CN110867062A (en) * | 2019-12-03 | 2020-03-06 | 国家电网有限公司 | Load prediction data acquisition system based on wireless transmission |
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Application publication date: 20131225 |