CN102684136A - Zero-adverse-current predicting method for photovoltaic microgrid common-grid application system - Google Patents
Zero-adverse-current predicting method for photovoltaic microgrid common-grid application system Download PDFInfo
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- CN102684136A CN102684136A CN2011100609177A CN201110060917A CN102684136A CN 102684136 A CN102684136 A CN 102684136A CN 2011100609177 A CN2011100609177 A CN 2011100609177A CN 201110060917 A CN201110060917 A CN 201110060917A CN 102684136 A CN102684136 A CN 102684136A
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Abstract
The invention discloses a zero-adverse-current predicting method for a photovoltaic microgrid common-grid application system. The zero-adverse-current predicting method comprises the following steps of: (1) receiving and processing data of grids and loads from measurement of all parameter detecting units, data including voltage and current of a PV (photovoltaic) battery, measurement data of output voltage and current of an inverter, ambient temperature, illumination, the current season and the time parameter; (2) carrying out calculable equivalent rounding on various detection parameters and preset parameters according to the requirement of regressive calculation of a supporting vector machine; and (3) enabling the supporting vector machine to carry out regressive calculation to obtain adverse-current occurrence predicting time, and when the time is shorter than the set sampling predication period, sending an adverse-current occurrence control signal, carrying out circulating prediction in such a way. The zero-adverse-current predicting method has the advantages that the accuracy of the acquired data is high, the sampling operation speed is high, the use is convenient and easy, any feeding of photovoltaic power to the municipal grid can be effectively prevented, and the prevention of the adverse power is realized.
Description
Technical field
The present invention relates to solar photovoltaic electric power and municipal electric power and form the little electrical network common network of photovoltaic jointly when the electricity consumption electric, in this micro-grid system, prevent the zero adverse current preparatory side method of photovoltaic electric power to the little electrical network common network of a kind of photovoltaic application system of municipal electrical network generation reverse power.
Background technology
Current; Solar energy power generating and wind power generation all are regenerative resources, and its aboundresources cleaning is the important component part in the human kind sustainable development energy strategy; Development very rapidly; Along with solar energy power generating from areas without electricity to the development that electricity area is arranged, wherein a kind of application mode is and municipal electrical network common network is used, its common network is divided into that reversible flow that solar photovoltaic electric power directly flows to municipal electrical network is incorporated into the power networks and is parallelly connected with municipal electrical network; Synchronous with its maintenance, realize can not adverse current be incorporated into the power networks to the user load power supply jointly.Said can not adverse current being incorporated into the power networks is to prevent that photovoltaic electric power from passing through distribution transformer to the electricity network feed, and strictness prevents that reverse power from guaranteeing the security of operation of municipal electrical network.
At present national standard " requirements of photovoltaic system interconnection technology " (GB/T 19939-2005) to the regulation of reverse power protection is: " system works under irreversible and net mode; when the adverse current that detects the secondary place of supply transformer be the specified output of inverter 5% the time, reverse power protection should be with photovoltaic system and electrical network disconnection in 0.5s-2s.”
For realizing above-mentioned reverse power protection, adopt conventional voltage, electric current detecting method to judge usually at present.To could accurately detect reverse power and take place through the detection of tens power frequency periods (power frequency 50Hz, 20ms are one-period) in principle.
Now; We propose a new Forecasting Methodology: promptly on electrical parameters detection bases such as conventional voltage, electric current, phase place; Add the detection and the prediction of detection to the photovoltaic generation parameter (local time, season, day illumination, ambient temperature, the generating situation that comprise photovoltaic cell) and load variations; Through adopting " SVMs " regression optimization algorithm; Whether this micro-grid system reverse power being taken place predict, and then realize the essential safety zero adverse current control to contravariant equipment, accomplishes the reverse power protection of this system to municipal electrical network.
Summary of the invention
The technical problem that the present invention solves; When providing a kind of photovoltaic and using little electrical network and municipal electrical network common network and use; Prevent any feed of photovoltaic electric power to municipal electrical network; Reverse power promptly takes place, the zero adverse current Forecasting Methodology of the little electrical network common network of the photovoltaic application system of the essential safety of realization equipment.
The technical scheme that adopts is:
The little electrical network common network of a kind of photovoltaic application system is made up of PV cell panel, common network inverter, user's power distribution network, SVMs and each parameter detecting unit.The detection data centralization that each parameter detecting unit adds the local time, season, day illumination, ambient temperature photovoltaic generation parameter and the user's power distribution network load variations that influences PV cell panel Maximum Power Output point with the conventional voltage of electrical network, electric current, phase place is in the calculating of SVMs regression optimization, and whether completion to micro-grid system reverse power takes place is predicted.The zero adverse current Forecasting Methodology of the little electrical network common network of said a kind of photovoltaic application system comprises the steps:
Step 1, reception are also handled electrical network, the load data of measuring from each parameter detecting unit and are comprised PV cell voltage, electric current, inverter output voltage, current measurement data, and ambient temperature, day illumination add at that time season, time parameter.
Step 2, carry out each item detected parameters and preset parameter, carry out to calculate the equivalent rounding according to the requirement of SVMs regression Calculation.
Step 3, carry out the SVMs regression Calculation, draw,, send and be about to take place the reverse power control signal, with this prediction that moves in circles when this time during less than sampling predetermined period of setting with generation adverse current predicted time.
The data precision that the present invention gathers is high, and the sampling fast operation is convenient easy-to-use, effectively prevents any feed of photovoltaic electric power to municipal electrical network, realizes preventing that inverse probability from taking place.
Description of drawings
Fig. 1 is that the little electrical network of photovoltaic zero adverse current detects and the prognoses system structured flowchart.
Fig. 2 is a workflow diagram of the present invention.
Embodiment
The little electrical network common network of a kind of photovoltaic application system, as shown in Figure 1: as to form by PV cell panel, common network inverter, user's power distribution network, SVMs and each parameter detecting unit.The detection data centralization that each parameter detecting unit adds the local time, season, day illumination, ambient temperature photovoltaic generation parameter and the user's power distribution network load variations that influences PV cell panel Maximum Power Output point with the conventional voltage of electrical network, electric current, phase place is in SVMs regression optimization high-speed computation processing, and whether completion to micro-grid system reverse power takes place is predicted.The zero adverse current Forecasting Methodology of the little electrical network common network of said photovoltaic application system, this method comprises the steps: as shown in Figure 2:
The electrical network that step 1, reception and handling measured from each parameter detecting unit, the conventional sense data of load and comprise PV cell voltage, electric current; Inverter output voltage, current measurement data; Influence ambient temperature, day illumination of PV cell panel Maximum Power Output point, table look-up and obtain relevant geographical position, season, time parameter.
Step 2, carry out each item detected parameters and preset parameter, carry out to calculate the equivalent rounding according to the requirement of SVMs regression Calculation.
Step 3, carry out the SVMs regression Calculation, obtain inverse probability generation predicted time, this time sends and is about to take place the reverse power control signal, with this prediction that moves in circles less than sampling predetermined period of setting.
Claims (1)
1. the zero adverse current Forecasting Methodology of the little electrical network common network of a photovoltaic application system is characterized in that comprising the steps:
Step 1, reception are also handled electrical network, the load data of measuring from each parameter detecting unit and are comprised PV cell voltage, electric current, inverter output voltage, current measurement data, and ambient temperature, day illumination add at that time season, time parameter;
Step 2, carry out each item detected parameters and preset parameter, carry out to calculate the equivalent rounding according to the requirement of SVMs regression Calculation;
Step 3, carry out the SVMs regression Calculation, draw,, send and be about to take place the reverse power control signal, with this prediction that moves in circles when this time during less than sampling predetermined period of setting with generation adverse current predicted time.
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| CN2011100609177A CN102684136A (en) | 2011-03-15 | 2011-03-15 | Zero-adverse-current predicting method for photovoltaic microgrid common-grid application system |
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| CN2011100609177A CN102684136A (en) | 2011-03-15 | 2011-03-15 | Zero-adverse-current predicting method for photovoltaic microgrid common-grid application system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109768576A (en) * | 2019-02-26 | 2019-05-17 | 廊坊新奥泛能网络科技服务有限公司 | General energy station and its reverse-power protection method and apparatus |
| CN113900370A (en) * | 2021-09-30 | 2022-01-07 | 万帮数字能源股份有限公司 | Time calibration method and time calibration device for photovoltaic system and photovoltaic system |
| CN114510111A (en) * | 2021-12-29 | 2022-05-17 | 北京华能新锐控制技术有限公司 | Global MPPT control method and device for partial sun-shading photovoltaic array |
| CN115207900A (en) * | 2021-04-09 | 2022-10-18 | 正泰集团研发中心(上海)有限公司 | Anti-reflux control method of micro-grid system and micro-grid system |
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| US20100000517A1 (en) * | 2008-07-03 | 2010-01-07 | Greenfield Solar Corp. | Sun position tracking |
| CN101719677A (en) * | 2009-12-10 | 2010-06-02 | 西东控制集团（沈阳）有限公司 | Control unit for zero counter current network integrating control device |
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| US20100000517A1 (en) * | 2008-07-03 | 2010-01-07 | Greenfield Solar Corp. | Sun position tracking |
| CN101719677A (en) * | 2009-12-10 | 2010-06-02 | 西东控制集团（沈阳）有限公司 | Control unit for zero counter current network integrating control device |
Non-Patent Citations (1)
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109768576A (en) * | 2019-02-26 | 2019-05-17 | 廊坊新奥泛能网络科技服务有限公司 | General energy station and its reverse-power protection method and apparatus |
| CN115207900A (en) * | 2021-04-09 | 2022-10-18 | 正泰集团研发中心(上海)有限公司 | Anti-reflux control method of micro-grid system and micro-grid system |
| CN115207900B (en) * | 2021-04-09 | 2024-08-06 | 正泰集团研发中心(上海)有限公司 | Anti-backflow control method of micro-grid system and micro-grid system |
| CN113900370A (en) * | 2021-09-30 | 2022-01-07 | 万帮数字能源股份有限公司 | Time calibration method and time calibration device for photovoltaic system and photovoltaic system |
| CN113900370B (en) * | 2021-09-30 | 2022-11-08 | 万帮数字能源股份有限公司 | Time calibration method and time calibration device for photovoltaic system and photovoltaic system |
| CN114510111A (en) * | 2021-12-29 | 2022-05-17 | 北京华能新锐控制技术有限公司 | Global MPPT control method and device for partial sun-shading photovoltaic array |
| CN114510111B (en) * | 2021-12-29 | 2023-09-12 | 北京华能新锐控制技术有限公司 | Global MPPT control method and device for partial shading photovoltaic array |
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Application publication date: 20120919 |