TW201537888A - Diagnostic method for solar apparatus - Google Patents

Abstract

The present invention discloses a diagnostic method for a solar apparatus, the method compares data of the same solar apparatus at different times or data of different solar apparatus at the same time, or even compares the data of a solar apparatus with the average data value of a plurality of solar apparatuses, so as to perform the problem detection of solar apparatus. Through the above-described diagnostic method, it is possible to compare the data of a solar apparatus in many aspects, determine whether the solar apparatus is working properly, thereby increasing the power-generating efficiency of solar apparatus.

Description

Solar device diagnostic method

The invention relates to a solar device diagnostic method, in particular to a diagnostic method capable of detecting a plurality of different data of a solar device.

Since the energy crisis, many countries have been actively looking for alternative energy sources. Alternative energy refers to energy sources other than coal, oil, natural gas and nuclear energy, including wind, sun, geothermal, and tidal energy. Among them, solar energy is inexhaustible, power generation equipment can be combined with buildings, and the conversion efficiency has been continuously improved in recent years. Many countries actively promote subsidies, so that solar cell modules are widely used.

Solar power generation is different from existing utility power. Solar power generation uses multiple solar modules in series and in parallel to output a specific voltage and a specific current. The purpose of series connection is to increase the output voltage, and parallel connection is to increase the output current. Then, through the DC Box and the Inverter, the energy generated by the solar cell module is converted into AC power, and then merged into the mains.

Figure 6 is a graph showing the relationship between current, voltage and power of a solar cell module. As shown in Fig. 6, the horizontal axis is the output voltage of the solar cell module, and the vertical axis is the output current of the solar cell module, and the solar cell module affects the output efficiency due to environmental changes, in order to obtain the best energy utilization efficiency. The existing method uses the Maximum Power Point (MPP) tracking technique. A tracker with maximum power tracking (MPP tracking) function in the solar cell module can detect the voltage and current combination of the solar cell module at any time. For example, a maximum power tracker is provided in the inverter, which can automatically detect a maximum power point according to the voltage and current of the solar battery module, and can find a corresponding voltage (Vmp) and current (Imp) from the MPP point. . Vmp is the output voltage at which the peak power is extracted; and Imp is the output current when the peak power is extracted. The change in the MPP point is usually related to the illuminance and temperature. When the illuminance is lowered, the Imp current becomes lower and the MPP point becomes lower. When the temperature rises, both Vmp and maximum power are also reduced. In the existing solar cell module, when the environment changes, the solar cell module is adjusted by instantly tracking changes in Vmp, Imp, or maximum power point.

When the maximum power Pmax of the solar cell module and its corresponding voltage Vmp or current Imp are not maintained at a threshold, the maximum power tracker transmits a warning message to the manager to remind the manager to perform the problem detection. With the maximum power tracker, the power generation of each solar module can only be compared to its own threshold. However, under real circumstances, there are many factors affecting the power generation efficiency of solar cell modules. At the same time and under the same weather conditions, different solar cell modules may have different outputs, and must be directed to different conditions and different solar energy. The battery module performs different processing.

Therefore, there is a need to design a monitoring method and system for power generation efficiency of a solar device, which can be compared in many aspects, rather than merely determining the power generation efficiency of the solar device through power tracking.

The object of the present invention is to design a solar device diagnostic method, compare data of the same solar device at different times, and determine whether the solar device is abnormal according to the data of the solar device at different times, thereby improving the power generation efficiency of the solar device.

According to the above objective, the present invention provides a solar device diagnostic method, including: detecting at least one first data of at least one solar device at a first time; and detecting the at least one solar device at a second time At least one second data; calculating at least one first comparison value between the at least one first data and the at least one second data; and when an absolute value of the at least one first comparison value is greater than a first error tolerance value, Send a first warning message.

Another object of the present invention is to provide a solar device diagnostic method that compares data of different solar devices at the same time and determines whether one of the solar devices is abnormal according to the comparison result to perform maintenance or repair of the solar power plant.

According to the above, the present invention provides a solar device diagnostic method, including: detecting at least one first data of at least one first solar device at a first time; detecting at least one second at the first time At least one second data of the solar device; calculating at least a first comparison value between the at least one first data and the at least one second data; and when an absolute value of the at least one first comparison value is greater than a first error The allowable value is transmitted by a first warning message; wherein the at least one first data and the at least one second data are the same unit of data.

Another object of the present invention is to provide a solar device diagnostic method, which compares current data of a solar device with a data average of a solar device, and determines whether the working state of the solar device is the same as that of a plurality of solar devices according to the comparison result. To determine whether the current solar installation is abnormal.

According to the above objective, the present invention provides a solar device diagnostic method, including: detecting a first data of a first solar device; detecting a plurality of second data of the first solar device; calculating the second data a first average value; calculating at least a first comparison value between the first data and the first average value; and transmitting a first value when the absolute value of the at least one first comparison value is greater than a first error tolerance value First warning message.

Through the above diagnostic method, the difference between the plurality of solar devices can be compared, and the plurality of data of the solar device can be compared, instead of the difference of the maximum power point of the single solar device as traditionally, to improve the solar device. Power generation efficiency.

The technical means adopted by the present invention for achieving the intended purpose are further explained below in conjunction with the drawings and preferred embodiments of the present invention.

Figure 1 is a plan view of a solar power plant of the present invention. As shown in FIG. 1, the solar power plant 10 includes a solar cell module series 11, a DC power box 12, an inverter 13 and a solar device diagnostic system 14. In the present invention, there may be only one solar battery module series 11, but in different embodiments, the solar power plant 10 may include a plurality of solar battery module series 11, which is not limited herein. The solar battery module series 11 has a plurality of solar battery modules 111, and the plurality of solar battery modules 111 are connected in series. The solar battery module serial 11 is electrically connected to the DC power box 12, and the power generated by the solar battery module 111 is collected through the DC power box 12, and then sent to the inverter 13 for DC voltage conversion. The solar device diagnostic system 14 of the present invention may be disposed on the solar cell module 111, the solar cell module serial 11, the DC power box 12, or the inverter 13, and is not limited herein. For example, the solar device diagnostic system 14 is disposed on the solar cell module 111, and the data of the solar cell module 111 can be measured. The solar device diagnostic system 14 can also be disposed on the entire solar cell module string 11 for Measure the data of the solar battery module. All of the devices within the solar power plant 10 can be the measurement targets of the solar device diagnostic system 14 of the present invention, and even the solar power plant 10 itself can be the measurement target of the diagnostic system 14, rather than measuring only the solar cells as in the conventional method. The maximum power point of the module.

2 is a flow chart showing a method of diagnosing a solar device according to a first embodiment of the present invention. As shown in FIG. 2, in the first embodiment, whether the solar device is abnormal is diagnosed by comparing data of the same solar device at different times. In step S201, at least one first data D1 of at least one solar device is detected in a first time. The unit of the first time may be seconds, minutes, hours, days, months, quarters or years, which is not limited herein, and the first data D1 of the solar device may be direct current (DC) data (eg voltage, current, solar energy). Unit power generation efficiency (kWh/kWp/h), kWh, kWp, etc., AC (AC) data (eg voltage, current, solar unit power generation efficiency (kWh/kWp/h) , per kWh (kWh), per kW spike (kWp), etc., temperature data, environmental factor data, resistance data or leakage current data. Any of the DC or AC electrical parameters of any solar device, any environmental factor data, any resistance or any leakage current data can be used as the data of the present invention and is not limited herein. For example, when the first data D1 is a voltage value, it may measure the DC voltage output by the solar cell module or via the converted AC voltage. When the first data D1 is a temperature value, it may be the temperature of the entire solar device or the internal electronic components of the solar device (such as a module, an inverter, a circuit breaker, a diode, a fuse, a terminal block, a surge absorber, The temperature of the wire, the DC power box, the AC box, etc. can be detected by setting a temperature sensor at a portion where the temperature needs to be measured. When the first data D1 is a numerical value of the environmental factor, it may be sunshine, humidity, temperature, wind speed, or wind pressure. When the first data D1 is a resistance value, it may be a DC grounding resistance, an AC grounding resistance, or a series resistance. When the first data D1 is a leakage current value, it may be a leakage current of the inverter, or may be a ground leakage current of a DC disk, an AC disk, a DC terminal, or an AC terminal. The first solar device may be a solar cell module, a tandem solar cell module, a maximum power tracker for a solar cell module, an inverter used for solar energy, or a solar power plant, and the number of the first solar device may be It is more than one or two, and its power generation is between 1 KW and 1 GW.

Referring to FIG. 2, in step S202, at least one second data D2 of the at least one solar device is detected in a second time. In this embodiment, the first time is different from the second time. The first data D1 and the second data D2 are data of the same unit. For example, the first data D1 and the second data D2 are both temperature values or the first data D1 and the second data D2 are voltage values and the like. Then, in step S203, at least a first comparison value C1 between the first data D1 and the second data D2 is calculated. In the embodiment of the present invention, the first comparison value C1 is a percentage difference between the first data D1 and the second data D2, and the algorithm may be C1=((D2−D1)/D1)×100%, However, in different embodiments, the first comparison value C1 may be a calculated value different from the difference percentage between the first data D1 and the second data D2, which is not limited herein.

In step S204, when the absolute value (|C1|) of the first comparison value C1 is greater than a first error tolerance value, a first warning message is transmitted to the manager to let the manager know that the solar device or its internal components may be abnormal. Need to check and adjust. For example, in one embodiment, the error tolerance is 1%, and if |C1|≧ 1%, a warning message is sent to the manager. In addition, the warning message can be transmitted via SMS, telephone, email, handheld software, non-handheld software or communication software, but it is not limited here.

In the first embodiment of the present invention, in order to confirm whether or not the solar device is abnormal, such a diagnosis method may not be accurate enough by comparing the difference in one type of data. Therefore, in the diagnostic method of the present invention, the following steps are further included. In step S205, at least one third data D3 of the at least one solar device is detected at a third time, and at least a fourth data D4 of the at least one solar device is detected at a fourth time in step S206. Next, in step S207, at least a second comparison value C2 between the at least one third data D3 and the at least one fourth data D4 is calculated. Then, in step S208, when the absolute value of the at least one second comparison value C2 is greater than a second error tolerance value, the second warning message is transmitted to the manager. Further, by calculating the second comparison value, it is confirmed that the solar device does not abnormally. In addition, in the first embodiment, the first time may be equal to the third time, or the second time may be equal to the fourth time, but is not limited herein.

For example, the unit of the first data D1 and the second data D2 is a voltage value. When the manager receives the first warning message, the voltage of the solar device may be abnormal. In order to confirm that the solar device is abnormal, the management is performed. Further detecting the third data D3 and the fourth data D4 of the solar device, the units of the third data D3 and the fourth data D4 may be the voltage value, or the third data D3 and the fourth data D4 may be the current value and the temperature. A value or an environmental factor or the like is different from the data of the units of the first data D1 and the second data D2. The third data D3 and the fourth data D4 are detected to confirm whether the solar device is actually abnormal. However, the above description merely emphasizes that the diagnostic method of the present invention can further calculate the second comparison value C2 to confirm that the solar device is actually abnormal, and the diagnostic method of the present invention is not limited to calculating only the first comparison value C1 and the second comparison value. C2. In different embodiments, the manager can calculate more than two comparison values, and further confirm whether the solar device is abnormal.

3 is a flow chart of a method for diagnosing a solar device according to a second embodiment of the present invention. As shown in FIG. 3, in the diagnostic method of the second embodiment, whether or not an abnormality occurs in one of the solar devices is diagnosed by comparing data of different solar devices. In step S301, at least one first data D1 of at least one first solar device is detected at a first time, and in step S302, at least one second solar device is detected at the first time. Second data D2. For example, the first solar device and the second solar device may respectively be different components of the same solar power plant, and the first solar device and the second solar device may also be two different components of two different solar power plants or a single power plant, respectively. This is not limited here. Next, in step S303, at least a first comparison value C1 between the first data D1 and the second data D2 is calculated. In step S304, when the absolute value of the first comparison value C1 is greater than a first error tolerance value, a first warning message is transmitted. The first data D1 and the second data D2 are data of the same unit. For example, the first data D1 and the second data D2 are voltage values.

However, in various embodiments, in order to further confirm that an abnormality occurs in the solar device, the diagnostic method of the second embodiment further includes the following steps. In step S305, at least one third data D3 of the at least one first solar device is detected at a second time, and in step S306, the second solar device is detected at the second time. At least one fourth data D4. Next, in step S307, at least a second comparison value between the at least one third data D3 and the at least one fourth data D4 is calculated. In the second embodiment, the second comparison value C2 between the third data D3 and the fourth data D4 is further calculated to confirm whether the second comparison value C2 is also too large. In step S308, when the absolute value of the at least one second comparison value C2 is greater than a second error tolerance value, a second warning message is transmitted to confirm that the at least one first solar device is abnormal. The first time may be equal to the second time, but in a different embodiment, the first time may not be equal to the second time.

For example, the first data and the second data are voltage values, and the third data and the fourth data are current values. When the manager finds that the voltage value difference between the first solar device and the second solar device is too large, in order to further confirm whether the first solar device or the second solar device is abnormally abnormal, the manager compares the currents of the first solar device and the second solar device. Whether the value is too different. If the difference between the current values of the first solar device and the second solar device is too large, it is confirmed that the first solar device or the second solar device is abnormal, and the manager can perform maintenance or troubleshooting. If the difference between the current values of the first solar device and the second solar device is lower than the second error tolerance, the abnormal voltage value of the first solar device and the second solar device may be misjudged, and the manager does not need to perform maintenance or troubleshooting. Alternatively, in different embodiments, the manager can further calculate the third comparison value, and further compare whether the difference between the other data of the first solar device and the second solar device is too large, and further confirm the first solar device or Whether the second solar device is actually abnormal. In the present invention, the number of comparisons may be more than once, and the data for each comparison is different, and it is confirmed by a plurality of comparisons in multiple aspects whether or not the solar device is abnormal.

In addition, in different embodiments, at least one second solar device in step S306 is replaced by at least one third solar device to detect at least one fourth data of at least one third solar device. When the comparison value between the first data of the first solar device and the second data of the second solar energy is greater than the error tolerance, the solar device diagnostic method of the present invention can compare the third data and the second of the first solar device a difference between the fourth data of the solar device, or a difference between the third data of the first solar device and the fourth data of the third solar device, wherein the second solar device and the third solar device are different solar devices . For example, when the manager finds that there is a difference in data between the first solar device and the second solar device, the manager can further compare the other data between the first solar device and the second solar device, and the manager can also It is further compared whether the data between the first solar device and the third solar device is also different to confirm whether the first solar device is malfunctioning or an abnormal situation occurs.

4 is a flow chart of a method of diagnosing a solar device according to a third embodiment of the present invention. As shown in FIG. 4, in the diagnostic method of the third embodiment, the data transmitted through the first solar device is compared with the data average of the first solar device and the at least one second solar device, or the data of the first solar device is transmitted. Comparing with the data average of the plurality of second solar devices to diagnose whether the solar device is abnormal.

In step S401, a first data D1 of a first solar device is detected, and in step S402, a plurality of second data D2 of the plurality of second solar devices are detected, and the plurality of second solar devices may include The first solar device or the first solar device is not limited herein. Next, in step S403, a first average value of the plurality of second data D2 is calculated. In step S404, at least a first comparison value between the first data D1 and the first average value is calculated. In step S405, when the absolute value of the first comparison value is greater than a first error tolerance value, a first warning message is transmitted. In this embodiment, the first data D1 and the second data D2 are the same unit of data, for example, the first data D1 and the second data D2 are voltage values.

However, in various embodiments, in order to further confirm that the first solar device is abnormal, the diagnostic method of the third embodiment further includes the following steps. In step S406, the third data D3 of the first solar device is detected, and in step S407, the plurality of fourth data D4 of the plurality of third solar devices are detected, wherein the plurality of third solar devices may or may not include The inclusion of the first solar device or the second solar device is not limited herein. Next, in step S408, a second average value of the plurality of fourth data D4 is calculated. In S409, at least a second comparison value between the third data D3 and the second average value is calculated. In the second embodiment, the second comparison value between the third data D3 and the second average value is further calculated to check whether the second comparison value is also too large. In step S410, when the absolute value of the second comparison value is greater than a second error tolerance value, a second warning message is transmitted to confirm that the first solar device is abnormal.

In this embodiment, the first solar device and the third solar device are solar devices of the same property, and the first data D1 and the third data D3 of the first solar device may be the same unit of data or different units of data, for example, The first data D1 may be a voltage value, and the third data D3 may be a voltage value or a current value, which is not limited herein. In addition, if the difference between the average value of the third data D3 of the first solar device and the fourth data D4 of the third solar device is less than the second error tolerance, the voltage value of the first solar device may be misjudged, and the manager does not need to perform maintenance. Or troubleshooting. If the difference between the average value of the third data D3 of the first solar device and the fourth data D4 of the third solar device is greater than the second error tolerance, the first solar device may be confirmed to be abnormal, and the manager performs maintenance of the first solar device or Troubleshooting.

Additionally, in various embodiments, the manager may replace the third solar device with the second solar device in step S407. Comparing the third data D3 of the first solar device with the average value of the fourth data D4 of the plurality of second solar devices, it is confirmed whether the first solar device is abnormal or only misjudged. Alternatively, the manager can further calculate the third comparison value, and further compare whether the difference between the data of the first solar device and the average value of the other data is too large, and further confirm whether the first solar device actually has an abnormality. In the present invention, the number of comparisons may be more than one or two times, and the data for each comparison may be different, and it is confirmed by multiple comparisons in many aspects whether or not the solar device is abnormal.

Fig. 5 is a bar graph showing the first data D1 and the second data D2 of a certain solar device. As shown in FIG. 5, in the bar graph, the horizontal axis is the date, and the vertical axis may be a value such as a DC voltage, an AC voltage, a temperature, an environmental factor, a resistance, or a leakage current, which is not limited herein. In the embodiment of the present invention, the value of a certain solar device measured on January 3, 2015 (as the first time) and January 4, 2015 (as the second time) is taken as the first data. D1 and the second data D2, and then calculate the percentage difference between the first data D1 and the second data D2. The percentage difference is compared to an error tolerance, and if the absolute value of the difference percentage is greater than the error tolerance, a warning message is sent to the manager.

Although the technical content of the present invention has been disclosed in the above preferred embodiments, it is not intended to limit the present invention, and any modifications and refinements made by those skilled in the art without departing from the spirit of the present invention are encompassed by the present invention. The scope of protection of the present invention is therefore defined by the scope of the appended claims.

10‧‧‧Solar power plant
11‧‧‧Solid battery module series
111‧‧‧Solar battery module
12‧‧‧DC power box
13‧‧‧Inverter
14‧‧‧Solar device diagnostic system
D1‧‧‧ first data
D2‧‧‧ second data
D3‧‧‧ third data
D4‧‧‧ fourth data
C1‧‧‧ first comparison value
C2‧‧‧ second comparison value

1 is a schematic plan view of a solar power plant of the present invention. 2 is a flow chart of a method for diagnosing a solar device according to a first embodiment of the present invention. 3 is a flow chart of a method for diagnosing a solar device according to a second embodiment of the present invention. 4 is a flow chart of a method of diagnosing a solar device according to a third embodiment of the present invention. Figure 5 is a bar graph of first data and second data of a certain solar device. Figure 6 is a graph showing the relationship between current, voltage and power of a solar cell module.

Claims (10)

A method for diagnosing a solar device, comprising: detecting at least one first data of at least one solar device at a first time; detecting at least one second data of the at least one solar device at a second time; Transmitting at least a first comparison value between the at least one first data and the at least one second data; and transmitting a first warning message when an absolute value of the at least one first comparison value is greater than a first error tolerance value; The at least one first data and the at least one second data are data of the same unit. The method for diagnosing a solar device according to claim 1, further comprising: detecting at least one third data of the at least one solar device at a third time; detecting at least one solar device at least a fourth time a fourth data; calculating at least one second comparison value between the at least one third data and the at least one fourth data; and transmitting when an absolute value of the at least one second comparison value is greater than a second error tolerance value a second warning message to confirm that the at least one solar device is abnormal; wherein the at least one third data and the at least one fourth data are the same unit of data. The solar device diagnostic method of claim 1, wherein the transmitting step transmits the warning message via a text message, a telephone, an email, a handheld device software, a non-handheld device software, or a communication software. A method for diagnosing a solar device, comprising: detecting at least one first data of at least one first solar device at a first time; detecting at least one second data of at least one second solar device at the first time Calculating at least a first comparison value between the at least one first data and the at least one second data; and transmitting a first warning when an absolute value of the at least one first comparison value is greater than a first error tolerance value a message; wherein the at least one first data and the at least one second data are data in the same unit. The method for diagnosing a solar device according to claim 4, further comprising: detecting at least one third data of the at least one first solar device at a second time; detecting the at least one second at the second time At least one fourth data of the solar device; calculating at least a second comparison value between the at least one third data and the at least one fourth data; and when the absolute value of the at least one second comparison value is greater than a second error The allowable value is sent a second warning message to confirm that the at least one first solar device is abnormal; wherein the at least one third data and the at least one fourth data are the same unit of data. The method of diagnosing a solar device according to claim 4, wherein in the step of detecting at least one fourth data of the at least one second solar device, replacing the at least one second solar device with at least a third solar device, and the first solar device and the at least one third solar device are solar devices of the same property. A method for diagnosing a solar device, comprising: detecting a first data of a first solar device; detecting a plurality of second data of the plurality of second solar devices; calculating a first average of the second data; Calculating at least a first comparison value between the first data and the first average value; and transmitting a first warning message when an absolute value of the at least one first comparison value is greater than a first error tolerance value. The solar device diagnostic method of claim 7, further comprising: detecting at least one third data of the at least one first solar device; detecting a plurality of fourth data of the plurality of third solar devices; calculating the a second average of the four data; calculating at least a second comparison value between the at least one third data and the second average value; and when the absolute value of the at least one second comparison value is greater than a second error tolerance And transmitting a second warning message to confirm that the at least one first solar device is abnormal. The solar device diagnostic method of claim 7, wherein in the step of detecting the fourth data of the third solar devices, the third solar devices are replaced with the second solar devices. The solar device diagnostic method of claim 7, wherein the second solar devices comprise the first solar device.