JP2015153367A - State detection device, state detection method, state detection program, and data processing system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a state detection device, a state detection method, a state detection program, and a data processing system which can detect an abnormality accurately in a short period.SOLUTION: An acquisition unit 111 acquires a power generation amount of one power generating cell and a power generation amount of another power generating cell, a power generation amount estimation unit 113 calculates an estimated power generation amount of one power generating cell on the basis of a power generation amount of another power generating cell, and a state determination unit 114 determines the state of one power generating cell on the basis of the estimated power generation amount calculated by the power generation amount estimation unit and the power generation amount of one power generating cell.

Description

  The present invention relates to a state detection device, a state detection method, a state detection program, and a data processing system.

  Conventionally, a system has been developed that monitors the amount of power generated by a solar power generation device (also called a solar power generation device) and detects an abnormality thereof. According to these techniques, it is possible to detect an abnormality of the photovoltaic power generation apparatus at an early stage and dispatch an operator at an early stage, so that maintenance management is promoted. Abnormality detection has been performed based on an accumulated measured power generation amount for a long period (for example, one month). Therefore, the abnormality that has occurred does not immediately appear as an abnormality in the integrated measured power generation amount, so the period until the abnormality is detected becomes longer. On the other hand, if the period for accumulating the actually measured power generation amount is short, the influence of external factors such as weather, shadows, etc. appears in the accumulated actually measured power generation amount. The effect may be erroneously detected as an abnormality.

  Therefore, the power generation apparatus monitoring system described in Patent Document 1 includes input information that represents conditions that affect the operation of a generator driven by a diesel engine, and output information that represents output results obtained as a result of operation under the conditions. To obtain driving information. In addition, the system generates a baseline based on a regression equation representing the relationship between input information and output information by performing regression analysis of the driving information, and uses the input information in real-time driving information to output information based on the baseline. Generate a predicted value of. In addition, the system determines that the output information is abnormal when the difference between the output information in the real-time driving information and the predicted value of the output information exceeds the baseline range.

JP 2005-284882 A

However, in solar power generation, it is often difficult to predict until the occurrence of an external factor that affects the power generation amount, so it is difficult to predict the power generation amount based only on the past actual power generation amount. Therefore, if the power generation device monitoring system described in Patent Literature 1 is diverted to a solar power generation device, the accuracy of abnormality detection may be reduced.
The present invention has been made in view of the above points, and provides a state detection device, a state detection method, a state detection program, and a data processing system that can accurately detect an abnormality in a short period of time.

(1) The present invention has been made to solve the above problems, and one aspect of the present invention is an acquisition unit that acquires a power generation amount of one power generation unit and a power generation amount of another power generation unit; A power generation amount estimation unit that calculates an estimated power generation amount of the one power generation unit based on a power generation amount of the other power generation unit, an estimated power generation amount calculated by the power generation amount estimation unit, and a power generation amount of the one power generation unit And a state determination unit that determines a state of the one power generation unit based on the state detection device.

(2) Another aspect of the present invention is the above-described state detection device, including a selection unit that selects a power generation unit within a predetermined range from the one power generation unit as the other power generation unit.

(3) Another aspect of the present invention is the above-described state detection device, based on the time change characteristic of the one power generation unit and the time change characteristic of a power generation unit other than the one power generation unit. A selection unit for selecting the power generation unit.

(4) Another aspect of the present invention is the state detection device described above, wherein the power generation amount estimation unit is configured to reduce the estimated power generation amount so that an absolute value of a difference from the power generation amount of the one power generation unit is reduced. Is calculated.

(5) Another aspect of the present invention is the above-described state detection device, wherein the power generation amount estimation unit weights the power generation amount of the other power generation unit with a weighting factor for each time within each predetermined period. The estimated power generation amount of the one power generation unit is calculated by adding and adding, and the weighting coefficient is updated at the predetermined cycle so that the absolute value of the difference is reduced.

(6) Another aspect of the present invention is the above-described state detection device, wherein the power generation unit is a solar power generation device.

(7) Another aspect of the present invention is the above-described state detection device, wherein the power generation unit is a set of a plurality of solar power generation devices.

(8) Another aspect of the present invention is the state detection device described above, wherein the power generation unit is a string formed by connecting solar modules in series.

(9) Another aspect of the present invention is the above-described state detection device, which includes a converter that converts the power generated by the one power generation unit into AC power.

(10) Another aspect of the present invention is the above-described state detection device, which includes a solar power generation device according to the one power generation unit.

(11) Another aspect of the present invention is a state detection method in the state detection device, the acquisition process of acquiring the power generation amount of one power generation unit and the power generation amount of another power generation unit, and the other power generation unit The power generation amount estimation process for calculating the estimated power generation amount of the one power generation unit based on the power generation amount of the power generation unit, the estimated power generation amount calculated in the power generation amount estimation process, and the power generation amount of the one power generation unit A state determination process for determining the state of the power generation unit.

(12) Another aspect of the present invention is based on the acquisition procedure for acquiring the power generation amount of one power generation unit and the power generation amount of another power generation unit in the computer of the state detection device, and the power generation amount of the other power generation unit. The power generation amount estimation procedure for calculating the estimated power generation amount of the one power generation unit, the state of the one power generation unit based on the estimated power generation amount calculated in the power generation amount estimation procedure and the power generation amount of the one power generation unit A state detection program for executing a state determination procedure for determining.

(13) Another aspect of the present invention is a data processing system including a terminal device and a state detection device, wherein the terminal device transmits a power generation amount of a power generation unit to the state detection device, and the state detection device Is an acquisition unit that acquires a power generation amount of one power generation unit and a power generation amount of another power generation unit, and a power generation amount that calculates an estimated power generation amount of the one power generation unit based on the power generation amount of the other power generation unit A data processing system comprising: an estimation unit; and a state determination unit that determines a state of the one power generation unit based on the estimated power generation amount calculated by the power generation amount estimation unit and the power generation amount of the one power generation unit. .

  According to the present invention, it is possible to accurately detect a state in a short period of time.

It is a conceptual diagram which shows the outline | summary of the data processing system which concerns on the 1st Embodiment of this invention. It is a schematic block diagram which shows the structure of the data processing system which concerns on the 1st Embodiment of this invention. It is a schematic block diagram which shows the structure of the state detection apparatus which concerns on the 1st Embodiment of this invention. It is a schematic block diagram which shows the structure of the terminal device which concerns on the 1st Embodiment of this invention. It is a flowchart which shows the state detection process which concerns on the 1st Embodiment of this invention. It is a figure showing an example of power generation unit attribute data concerning a 1st embodiment of the present invention. It is a figure which shows an example of the measurement electric power generation amount data which concern on the 1st Embodiment of this invention. It is a figure which shows an example of the group data which concern on the 1st Embodiment of this invention. It is a figure which shows an example of the weighting coefficient data based on the 1st Embodiment of this invention. It is a flowchart which shows the example (1) of the grouping process which concerns on the 1st Embodiment of this invention. It is a flowchart which shows the example (2) of the grouping process which concerns on the 1st Embodiment of this invention. It is a flowchart which shows the example (3) of the grouping process which concerns on the 1st Embodiment of this invention. It is a figure which shows an example of electric power generation amount. It is a figure which shows the other example of electric power generation amount. It is a figure which shows an example of the weighting coefficient data memorize | stored in the modification of the 1st Embodiment of this invention. It is a flowchart which shows the state detection process which concerns on the modification of the 1st Embodiment of this invention. It is a figure which shows an example of the influence with respect to measured electric power generation amount. It is a schematic block diagram which shows the structure of the state detection apparatus which concerns on the 2nd Embodiment of this invention. It is a figure which shows an example of electric power generation unit attribute data. It is a flowchart which shows the state detection process which concerns on the 2nd Embodiment of this invention. It is a flowchart which shows the state detection process which concerns on the modification of the 2nd Embodiment of this invention. It is a schematic block diagram which shows the structure of the state detection apparatus which concerns on the 3rd Embodiment of this invention. It is a figure which shows an example of the 1st largest measurement electric power generation amount memorize | stored in the data storage part. It is a flowchart which shows the state detection process which concerns on the 3rd Embodiment of this invention. It is a schematic block diagram which shows the structure of a power generator. It is the schematic which shows the structure of the terminal device which concerns on the modification of embodiment of this invention.

(First embodiment)
Hereinafter, a first embodiment of the present invention will be described with reference to the drawings.
FIG. 1 is a conceptual diagram showing an outline of a data processing system 1 according to the present embodiment.
In the data processing system 1, the terminal device 20 notifies the power generation amount of the power generation device 40 to the state detection device 10 via the network 60, and the state detection device 10 determines the state of the power generation device 40 based on the notified power generation amount. Detect and display based on the detected state. A user (for example, a manager) who has recognized the display of the state detection device 10 can know the state of the power generation device 40 and can take measures according to the state. For example, the user of the state detection device 10 is prompted to visit the location of the power generation device 40 for inspection, repair, and the like. Therefore, the maintenance management of the power generator 40 is made efficient.

  Further, the state detection device 10 may notify the terminal device 20 of the detected state, and the terminal device 20 may perform display based on the notified state. A user who recognizes the display of the terminal device 20 (for example, the owner or installer of the power generation device 40) can take measures according to the state of the power generation device 40. For example, the user of the terminal device 20 can contact the administrator of the power generation device 40 and request inspection, repair, and the like. Therefore, maintenance management of the power generation device 40 is prompted.

The power generation device 40 is a solar power generation device (also called a solar power generation device or a solar panel) that generates electricity by converting irradiated light (mainly sunlight) into electric power. The power generation device 40 includes a plurality of modules (solar modules) 412 that convert irradiated light into electric power, and the power generated by the strings 411 formed by connecting the modules 412 in series is power-conditioned. Supply to NA 43. The power conditioner 43 is a converter that collects the DC power generated by each string 411 and converts the collected DC power into AC power whose voltage fluctuates at a predetermined frequency. The power conditioner 43 supplies the converted power to the power system via the connected distribution board 50. Further, the power conditioner 43 includes a watt-hour meter (not shown) that measures the power generation amount of the converted power. The power conditioner 43 outputs power generation amount data indicating the measured actual power generation amount to the terminal device 20.
In addition, the owner and installer of the power generation device 40 may provide the electric power company with the power generated by the power generation device 40. Even if an abnormality occurs in the amount of power generation temporarily, the provision of electric power is normalized early by prompting maintenance management.

(Configuration of data processing system 1)
Next, the configuration of the data processing system 1 according to the present embodiment will be described.
FIG. 2 is a schematic block diagram showing the configuration of the data processing system 1 according to the present embodiment.
The data processing system 1 includes a state detection device 10 and a terminal device 20.
The state detection device 10 and the terminal device 20 are connected via a network 60, and can transmit or receive data between each other. The state detection device 10 can be connected to one or a plurality of terminal devices 20.
The network 60 may be wired or wireless. The network 60 may be any one of a wide area network (WAN) such as the Internet or a public communication network, a local area network (LAN), a dedicated line, or a combination thereof.

  The state detection device 10 detects the state of the power generation device 40 based on the power generation amount data received from each terminal device 20, for example, a power generation abnormality (hereinafter referred to as "abnormality"). The power generation amount data is data indicating the power generation amount of the power supplied by the power generation device 40. The state detection device 10 displays the detected state. The display includes blinking a predetermined light source (lamp), displaying characters, figures, symbols, and images, reproducing a predetermined synthesized voice, and the like. Further, the state detection device 10 may transmit state data indicating the detected state to the terminal device 20. The state detection device 10 is, for example, a server device.

The terminal device 20 measures the amount of power supplied by the power generation device 40 as a power generation amount, and transmits power generation amount data indicating the measured power generation amount to the state detection device 10.
When receiving the state data from the state detection device 10, the terminal device 20 may display the state indicated by the received state data. The terminal device 20 is, for example, a remote control device (remote control), a personal computer, a multi-function mobile phone (including a so-called smartphone), or the like.

(Configuration of state detection device)
Next, the configuration of the state detection device 10 according to the present embodiment will be described.
FIG. 3 is a schematic block diagram illustrating the configuration of the state detection device 10 according to the present embodiment.
The state detection device 10 includes a communication unit 101, a data acquisition unit 111, a grouping unit 112, a power generation amount estimation unit 113, a state determination unit 114, a data storage unit 121, a state output unit 132, and a display unit 133. . The communication unit 101, the data acquisition unit 111, the grouping unit 112, the power generation amount estimation unit 113, the state determination unit 114, the data storage unit 121, the state output unit 132, and the display unit 133 are connected via a bus 151, and data is mutually transmitted. Can be input or output.

The communication unit 101 transmits or receives data to and from the terminal device 20. The communication unit 101 sequentially receives measured power generation data for each power generation unit from each terminal device 20 and stores the received actual power generation data in the data storage unit 121. The power generation unit is a unit of the detection target of the operation state based on the power generation amount. The power generation unit is, for example, the power generation device 40 that is a measurement target of the power generation amount by the terminal device 20. The measured power generation amount data is data indicating the measured power generation amount (actual power generation amount) for each power generation unit.
Further, the communication unit 101 transmits the state data input from the state determination unit 114 to the terminal device 20. The terminal device 20 that is the transmission destination is the terminal device 20 that has measured the power generation amount of the power generation unit that is the determination target in that state.
The communication unit 101 is a communication interface, for example.

The data acquisition unit 111 refers to group data (described later) stored in the data storage unit 121 and identifies other units belonging to the group of the own unit. The group data is data indicating a set (group) composed of its own unit and one or more other units. The self unit is a power generation unit that is a target of power generation amount estimation (described later). The other unit is a power generation unit other than the own unit. The other unit specified by the group data is a power generation unit that is a reference target of the power generation amount when calculating the estimated power generation amount of the own unit in the power generation amount estimation. This other unit may be referred to as “target other unit”.
The data acquisition unit 111 reads from the data storage unit 121 the actually measured power generation amount data relating to the own unit and the actually measured power generation amount data relating to each of the specified target other units. The data acquisition unit 111 outputs the acquired measured power generation amount data for each power generation unit to the power generation amount estimation unit 113.

The grouping unit 112 calculates an index indicating the relationship between the own unit and another unit (not limited to the target other unit), selects a predetermined number of other units based on the calculated index, and selects the selected other unit. The unit is defined as the target other unit. Then, the grouping unit 112 determines a group including the own unit and the target other unit (grouping). The index is an index indicating the degree of approximation of the power generation amount characteristic between the own unit and other units, or the degree of approximation of the factor affecting the power generation amount characteristic. In the following description, the index is referred to as “neighborhood”.
The grouping unit 112 generates group data indicating the determined group, and stores the generated group data in the data storage unit 121. An example of the degree of proximity and a process for determining a group (hereinafter referred to as “grouping process”) will be described later.

The power generation amount estimation unit 113 receives actually measured power generation amount data for each power generation unit from the data acquisition unit 111. The power generation amount estimation unit 113 reads the weight coefficient data of its own unit from the data storage unit 121. The weight coefficient data is data indicating a weight coefficient for each target other unit.
The power generation amount estimation unit 113 estimates the power generation amount of its own unit based on the measured power generation amount data for each target other unit and the read weight coefficient data. In the following description, the estimated power generation amount is referred to as an estimated power generation amount and is distinguished from the actually measured power generation amount.
Specifically, the power generation amount estimation unit 113 calculates a multiplication value by multiplying the measured power generation amount of the target other unit by the weighting factor of the target other unit, and sums the calculated multiplication value between the other units in the group. To calculate the estimated power generation for each unit. The power generation amount estimation unit 113 outputs estimated power generation amount data indicating the calculated estimated power generation amount of the own unit and actual power generation amount data indicating the actual power generation amount to the state determination unit 114.

  The power generation amount estimation unit 113 calculates an estimation error by subtracting the calculated power generation amount of the own unit from the actual power generation amount of the own unit. The power generation amount estimation unit 113 adjusts the weight coefficient of the target other unit so that the absolute value of the calculated estimation error decreases. When adjusting the weight coefficient of the target other unit, the power generation amount estimation unit 113 uses, for example, a least square method. The power generation amount estimation unit 113 generates weighting factor data indicating the adjusted weighting factor for each target other unit, and replaces the weighting factor data stored in the data storage unit 121 with the generated weighting factor data.

  The state determination unit 114 determines the operation state of the own unit based on the estimated power generation amount data and the actually measured power generation data input from the power generation amount estimation unit 113. Here, the state determination unit 114 determines that the operation state of the own unit is “abnormal” when the actually measured power generation amount indicated by the actually measured power generation amount data is significantly smaller than the estimated power generation amount indicated by the own unit estimated power generation amount data. . Specifically, when the normalization value obtained by normalizing the unit's estimated power generation amount by dividing the estimated power generation amount by the actual power generation amount exceeds the threshold value of a predetermined normalization value, “abnormal” Is determined. The state determination unit 114 determines “normal” when the normalized value is equal to or smaller than a predetermined normalized value. The state determination unit 114 outputs state data indicating the determined state of the own unit to the state output unit 132 and the communication unit 101.

The state output unit 132 converts the state data input from the state determination unit 114 into a format corresponding to the information display form by the display unit 133, and outputs the converted state data to the display unit 133. For example, when the display unit 133 is a display that displays an image, the state output unit 132 generates an image signal including text indicating the state (for example, abnormality) of the own unit indicated by the state data, and the generated image The signal is output to the display unit 133. As a result, the state output unit 132 causes the display unit 133 to display its own operation state.
The display unit 133 displays the operation state of the unit indicated by the state data input from the state output unit 132. The display unit 133 is, for example, a liquid crystal display (LCD: Liquid Crystal Display).
Note that the status output unit 132 may output the attribute information of its own unit to the display unit 133 with reference to power generation unit attribute information (described later) stored in the data storage unit 121. In that case, the display unit 133 causes the state output unit 132 to superimpose and display the attribute information of its own unit input from the state output unit 132 on the operation state. Thereby, the user grasps the power generation unit in which the operation state is displayed, so that the maintenance management for the power generation unit is made efficient.

(Configuration of terminal device)
Next, the configuration of the terminal device 20 according to the present embodiment will be described.
FIG. 4 is a schematic block diagram illustrating a configuration of the terminal device 20 according to the present embodiment.
The terminal device 20 includes a data input unit 201, a communication unit 202, a data processing unit 211, a data storage unit 221, an operation input unit 231, a status output unit 232, and a display unit 233. The data input unit 201, the communication unit 202, the data processing unit 211, the data storage unit 221, the operation input unit 231, the status output unit 232, and the display unit 233 are connected via a bus 251 and input / output data to / from each other. Can do.

The data input unit 201 receives power generation amount data from the power conditioner 43 and stores the input power generation amount data in the data storage unit 221.
The data input unit 201 is, for example, a data input / output interface.
The communication unit 202 transmits the measured power generation amount data input from the data processing unit 211 to the state detection device 10. In addition, the communication unit 202 outputs the state data received from the state detection device 10 to the state output unit 232. The communication unit 202 is, for example, a communication interface.

  The data processing unit 211 reads the power generation amount data from the data storage unit 221 every predetermined time (for example, one hour), and specifies the power generation amount (actual power generation amount) indicated by the power generation amount data at each time (measurement time). To do. The data processing unit 211 generates power generation unit identification information (power generation unit ID) indicating the power generation device 40, a predetermined number (for example, 6) of measurement times, and actual measurement power generation every predetermined transmission interval (for example, 6 hours). Measured power generation amount data including a pair with the amount is generated. The data processing unit 211 outputs the generated actually measured power generation data to the communication unit 202.

  The data storage unit 221 temporarily stores data generated by each unit constituting the terminal device 20, and stores data necessary for the operation of each unit. For example, the data storage unit 221 stores power generation unit identification information indicating the power generation device 40, and stores power generation amount data, a sampling interval of the actually measured power generation amount, and a transmission interval of the actually measured power generation amount data.

The operation input unit 231 receives a user operation and generates operation data corresponding to the received operation. When the function of the terminal device 20 is instructed by the generated operation data, the terminal device 20 executes the instructed function. For example, the type (for example, state, power generation amount) of information displayed on the display unit 233 is instructed by the operation data. The operation input unit 231 is, for example, a keyboard, a button, or the like.
The state output unit 232 converts the state data input from the communication unit 202 into a format corresponding to the information display form by the display unit 233, and outputs the converted state data to the display unit 233. The state output unit 232 generates an image signal including text indicating the operation state (for example, abnormality) of the power generation device 40 indicated by the state data, and outputs the generated image signal to the display unit 233.
When the operation data is input from the operation input unit 231, the status output unit 232 may read the power generation amount data from the data storage unit 221 and display the read power generation amount on the display unit 233 as text or a graph. .
The display unit 233 displays the operation state indicated by the state data input from the state output unit 232. The display unit 233 is, for example, a liquid crystal display (LCD: Liquid Crystal Display). Thereby, the user can grasp | ascertain the electric power generation unit with which the operation state is displayed, and is alerted with respect to the electric power generating apparatus 40. FIG.

(Status detection process)
Next, the state detection process according to the present embodiment will be described.
FIG. 5 is a flowchart showing state detection processing according to the present embodiment.
The state detection device 10 executes the state detection process shown in FIG. 5 for each measurement time.
(Step S <b> 101) The data acquisition unit 111 refers to the group data stored in the data storage unit 121 and identifies target other units belonging to the group of the own unit. The data acquisition unit 111 acquires measured power generation amount data for each power generation unit from the data storage unit 121 for the own unit and the specified target other unit. Thereafter, the process proceeds to step S102.
(Step S102) The power generation amount estimation unit 113 refers to the weight coefficient data stored in the data storage unit 121 and identifies the weight coefficient for each other unit. The power generation amount estimation unit 113 calculates the estimated power generation amount of its own unit based on the actually measured power generation amount indicated by the actually measured power generation amount data of the specified target other unit and the weight coefficient of the target other unit. Thereafter, the process proceeds to step S103.

(Step S103) The state determination unit 114, when the normalized value obtained by normalizing by dividing the estimated power generation amount of its own unit by the actual power generation amount of its own unit exceeds a predetermined normalization value threshold (step S103) (S103 YES), the process proceeds to step S104. If the normalized value is equal to or less than the predetermined normalized value (NO in step S103), state determination unit 114 proceeds to step S105.
(Step S104) The state determination unit 114 determines that the operation state of the own unit is “abnormal” (power generation abnormality). Thereafter, the process proceeds to step S105.

(Step S105) The power generation amount estimation unit 113 calculates an estimation error between the actual power generation amount and the estimated power generation amount of the unit. Thereafter, the process proceeds to step S106.
(Step S106) The power generation amount estimation unit 113 adjusts the weighting factor for each target other unit based on the calculated estimation error. The power generation amount estimation unit 113 updates the weighting factor indicated by the weighting factor data with the adjusted weighting factor. Thereafter, the process shown in FIG.

  The threshold value of the predetermined normalization value in step S103 is a real number significantly larger than 1.0. The threshold value is preferably a real number of 1.3 or more. The threshold value is obtained by dividing the average value of the rated power generation amount of the string 411 (FIG. 1) forming the power generation device 40 by 0.9 times the minimum value of the rated power generation amount, and 1.3. Of these, the larger value may be used. Thereby, the fluctuation | variation of the electric power generation amount larger than dispersion | distribution of the electric power generation amount between the strings 411 is detected as an abnormality of an operation state.

The data storage unit 121 stores the above-described power generation unit attribute data, measured power generation amount data, group data, and weight coefficient data. Hereinafter, examples of these data will be described.
(Power generation unit attribute data)
First, an example of power generation unit attribute data according to the present embodiment will be described.
FIG. 6 is a diagram illustrating an example of power generation unit attribute data according to the present embodiment.
The power generation unit attribute data is data indicating an attribute for each power generation unit. The power generation unit attribute data includes power generation unit identification information (power generation unit ID), name information (name), address information (address), latitude information (latitude), longitude information (longitude), and model information (model). Are formed in association with each other. For example, the power generation unit identification information “01” in the second row includes name information “name 1”, address information “address 1”, latitude information “latitude 1”, longitude information “longitude 1”, and model information “model 1”. "Is associated.

  The power generation unit identification information is information for identifying individual power generation units. The name information is information indicating the name or name of the owner or manager of the power generation unit. The address information is information indicating the address where the power generation unit is installed. Latitude information and longitude information are information indicating the latitude and longitude of the place where the power generation unit is installed. The model information is information indicating the model of the power generation unit, for example, a manufacturer and a model number. The model information may include the rated power generation amount of the model. The address information, the latitude information, and the longitude information are position information that indicates the position of each power generation unit. In the power generation unit identification information, any one of address information, latitude information, and longitude information may be omitted.

(Measured power generation data)
Next, an example of measured power generation amount data according to the present embodiment will be described.
FIG. 7 is a diagram illustrating an example of measured power generation amount data according to the present embodiment.
The measured power generation amount data is data indicating the measured power generation amount for each power generation unit and the measurement time. The measured power generation amount data includes the power generation unit identification information (power generation unit ID), one or more (six in the example shown in FIG. 7) measurement time (time 1, etc.) and the actual power generation amount (power generation 1, etc.). ) And a pair.

(Group data)
Next, an example of group data according to the present embodiment will be described.
FIG. 8 is a diagram illustrating an example of group data according to the present embodiment.
The group data is data indicating a group composed of the own unit and the target other unit. The group data includes power generation unit identification information (self unit ID) indicating the own unit and power generation unit identification information (other unit IDs 1 to 5) indicating a predetermined number (5 in the example shown in FIG. 8) of target other units. These are formed in association with each other. For example, the power generation unit identification information “01” in the second row corresponds to the power generation unit identification information “03”, “05”, “08”, “09”, and “12” of five target other units. It is attached.

(Weight coefficient data)
Next, an example of the weight coefficient data according to the present embodiment will be described.
FIG. 9 is a diagram illustrating an example of the weight coefficient data according to the present embodiment.
The weight coefficient data is data indicating a weight coefficient for each target other unit. The weight coefficient data includes power generation unit identification information (self unit ID) indicating the self unit, the weight coefficient (weight coefficient 1 to 5) of the target other unit belonging to the group, and the autocorrelation matrix. Formed. For example, the power generation unit identification information “01” in the second row includes weighting factor 1 “0.23”, weighting factor 2 “0.18”, weighting factor 3 “0.27”, weighting factor 4 “ 0.22 ”, weight coefficient 5“ 0.10 ”, and“ autocorrelation matrix 1 ”are associated with each other. Weight coefficient 1 “0.23”, weight coefficient 2 “0.18”, weight coefficient 3 “0.27”, weight coefficient 4 “0.22”, and weight coefficient 5 “0.10” A weighting factor that is multiplied by the measured power generation amount of ID1 “03”, other unit ID2 “05”, other unit ID3 “08”, target other unit ID4 “09”, and other unit ID5 “12” (FIG. 8). is there.
Note that the autocorrelation matrix is used when a method to be described later is executed in the adjustment of the weighting coefficient (FIG. 5, step S106). Depending on the technique used to adjust the weighting factor, the autocorrelation matrix may be omitted in the weighting factor data.

(Adjusting the weighting factor)
Next, adjustment of the weighting coefficient by the power generation amount estimation unit 113 (FIG. 5, step S106) will be described.
The power generation amount estimation unit 113 performs the least square method so that the absolute value of the estimation error between the actual power generation amount y _t and the estimated power generation amount y _t ′ at the current measurement time (current measurement time) t is reduced. weight coefficient of each target other units at the current measurement time t by using _{a t, 1, a t,} 2, ..., a t, n (n is number of subjects other units belonging to the group of its own units) is calculated. Specifically, the power generation amount estimation unit 113 calculates a cross-correlation matrix P _t of the current measurement time using Equation (1), calculates a weight coefficient vector A _t of the current measurement time using Equation (2) To do.

In the equation (1), x _t represents an actually measured power generation amount vector having measured power generation amounts x _{t, 1} , x _{t, 2} ,..., X _{t, n} for each other unit at the measurement time t as elements. The cross-correlation matrix P _t is a matrix having as an element the cross-correlation between the actually measured power generation amount x _{t, n1} of one target other unit and the actually measured power generation amount x _{t, n2} of another target other unit. The symbol ^{T in} the upper right of P _t-1 ^T indicates the transpose of a matrix or vector. λ is a weighting factor indicating the degree of contribution to the cross-correlation matrix P _t of the actually measured power generation amount vector x _{t at} the current measurement time t. The weighting factor λ is a predetermined real number (for example, 0.995) approximated to 1 rather than 0. Therefore, the expression (1) is obtained by calculating the weighting coefficient by multiplying each element of the cross-correlation matrix P _{t−1 at} the previous measurement time t−1 by the product of the measured power generation amount between the other units of the current measurement time t according to the corresponding element. It shows that the cross-correlation matrix P _t at the current measurement time _t is calculated by adding values weighted based on λ. By this weighting, the measured power generation vector x _{t at the} current measurement time t is more important than the past measured power generation vector.

In the equation (2), the second term (−x _t A _t−1 ′ + y _t ) on the right side indicates an estimation error. That is, Equation (2) is an update amount vector that multiplies the estimation error by a vector obtained by multiplying the transposed vector cross-correlation matrix P _t of the actual measurement power generation vector x _{t at} the current measurement time t to give the minimum value of the estimation error. Indicates that Further, Equation (2) shows that for calculating the weighting coefficient vector A _t of by adding the update amount vector that defines the weight coefficient vector A _t-1 before the measurement time point t-1 current measurement time t.

In Step S102 (FIG. 5), the power generation amount estimation unit 113, by multiplying the weighting coefficient vector A _t the current measurement time t calculated as shown in equation (3) to the actual power generation amount vector x _t of the current measurement time t To calculate the actual power generation amount y _t and the estimated power generation amount y _t ′.

In the state detection process shown in FIG. 5, the initial value P ₀ of the cross-correlation matrix is I (unit matrix), and the initial value A ₀ of the weighting coefficient vector is 0.

(Example of grouping process)
Next, an example of grouping processing according to the present embodiment will be described. The grouping unit 112 may execute any of the following processes in advance, or may execute it in parallel with the above-described state detection process (FIG. 5).

FIG. 10 is a flowchart illustrating an example (1) of the grouping process according to the present embodiment.
The grouping process shown in FIG. 10 calculates the variance of the measured power generation efficiency ratio for each group in which other units are classified by the measured power generation efficiency ratio at each measurement time, and the time average value of the variance of the group classified at each measurement time This is a process of preferentially selecting a target other unit having a smaller. The measured power generation efficiency ratio is the measured power generation efficiency of the target other unit relative to the measured power generation efficiency of the own unit. The measured power generation efficiency is a value obtained by normalizing the measured power generation amount with the rated power generation amount. The rated power generation amount is specified based on the model information of the power generation device 40 (FIG. 1) with reference to the power generation unit attribute data (FIG. 6). By this processing, the grouping unit 112 selects, as a target other unit belonging to the group of the own unit, the other unit whose time variation characteristic of the actually measured power generation amount approximates the time variation characteristic of the own unit regardless of the model of the power generation device 40. can do. Specifically, the grouping unit 112 performs the following process.

(Step S201) The grouping unit 112 calculates a measured power generation efficiency ratio between the measured power generation efficiency of the own unit and the measured power generation efficiency of other units at the same time (date and time) within a predetermined period (for example, one day). . Thereafter, the process proceeds to step S202.
(Step S202) The grouping unit 112 performs grouping based on the measured power generation efficiency ratio at each time, and classifies (generates) other units into a plurality of groups. The group generated at this point is called a “time group”, and is distinguished from the “group” for each unit that is finally determined.
The grouping unit 112 can use a known clustering method, for example, a group average method, in the grouping in this step. Thereafter, the process proceeds to step S203.
(Step S203) The grouping unit 112 calculates the variance of the measured power generation efficiency ratio as a group evaluation value for each time group. Thereafter, the process proceeds to step S204.

(Step S204) The grouping unit 112 specifies a group evaluation value related to a time group to which the other unit belongs for each other unit, and calculates an average value of the specified group evaluation value over the time groups as a proximity degree. Thereafter, the process proceeds to step S205.
(Step S205) The grouping unit 112 selects a predetermined number of other units in ascending order of the proximity from the other unit having the smallest calculated proximity, and determines the selected other unit as the target other unit. The grouping unit 112 stores, in the data storage unit 121, group data indicating a group composed of its own unit and the target other unit. Then, the process shown in FIG. 10 is complete | finished.

  The grouping unit 112 replaces the processing of steps S201 to S204 with an average value over time groups, and uses the cross-correlation between the measured power generation amount of its own unit and the measured power generation amount of other units as the degree of proximity. It may be calculated. As a result, another unit whose time variation characteristic of the actually measured power generation amount approximates the time variation characteristic of the own unit can be selected as the target other unit belonging to the group of the own unit.

FIG. 11 is a flowchart illustrating an example (2) of the grouping process according to the present embodiment.
The grouping process shown in FIG. 11 is a process for preferentially selecting another unit having a small distance between the position of the own unit and the position of the other unit. The grouping unit 112 can specify the latitude and longitude of each power generation unit with reference to the power generation unit attribute data (FIG. 6). Accordingly, the grouping unit 112 can select another unit that is geographically close to the unit as the group of the unit. As a result, other units that have similar effects on the power generation characteristics such as the climate and the amount of solar radiation are selected. Specifically, the grouping unit 112 performs the following process.

(Step S214) The grouping unit 112 refers to the power generation unit attribute data (FIG. 6), specifies the position of the own unit and the position of the other unit, and sets the distance between the position of the own unit and the position of the other unit in the vicinity. Calculate as degrees. Thereafter, the grouping unit 112 executes the process of step S205 and ends the process shown in FIG.

FIG. 12 is a flowchart illustrating an example (3) of the grouping process according to the present embodiment.
The grouping process shown in FIG. 12 is a process of selecting a predetermined number of other units in the local area to which the own unit belongs. The local area is an area having a predetermined size, for example, a town which is one area in a city, a street, a street address, an area specified by one zip code, and the like. Accordingly, the grouping unit 112 can select another unit that is geographically close to the unit as the group of the unit. As a result, other units that have similar effects on the power generation characteristics such as the climate and the amount of solar radiation are selected. Specifically, the grouping unit 112 performs the following process.

(Step S224) The grouping unit 112 refers to the power generation unit attribute data (FIG. 6), identifies the position of the own unit, and further refers to the map data formed by associating the position with the local area, Specify the local area to which the unit belongs. Here, the map data may be stored in the data storage unit 121 in advance, or the grouping unit 112 may acquire the map data from a device connected to the network 60. Thereafter, the process proceeds to step S225.
(Step S225) The grouping unit 112 selects a predetermined number of other units in the specified local region, and determines the selected other units as target other units. The grouping unit 112 stores, in the data storage unit 121, group data indicating a group composed of its own unit and the target other unit. Then, the process shown in FIG.

  When the number of other units belonging to the specified local area is larger than a predetermined number, the grouping unit 112 may try to select another unit in the further subdivided local area. In this case, the above-described grouping processing example (1) or (2) may be performed on other units in the local region. When the number of other units belonging to the specified local region is smaller than the predetermined number, the grouping unit 112 tries to select another unit in the local region that is more comprehensive than the specified local region. Also good. However, the distance from the own unit to the other unit selected as the target other unit is preferably several hundred meters, and more preferably within a hundred meters.

(Example of power generation)
Next, an example of the power generation amount is shown.
FIG. 13 is a diagram illustrating an example of the power generation amount. The horizontal axis and the vertical axis indicate time (h (hour)) and power generation amount (W (watt)), respectively. a11 indicates the actual power generation amount when the self unit (the power generation device 40 (FIG. 1)) is normal, and a12 indicates the estimated power generation amount estimated from the actual power generation amount of the target other unit according to the present embodiment. The estimated power generation amount a12 approximates the actually measured power generation amount a11, and no significant difference is recognized between the two. This indicates that the measured power generation amount of the own unit can be accurately estimated from the measured power generation amount of the target other unit according to this embodiment. Specifically, the estimated power generation amount a12 reproduces both the fluctuation in the daily cycle of the actually measured power generation amount a11 and the maximum power generation amount that varies depending on the day.

  FIG. 14 is a diagram illustrating another example of the power generation amount. The horizontal axis and the vertical axis indicate time (h (hour)) and power generation amount (W (watt)), respectively. a21 indicates the actual power generation amount when the self unit (the power generation device 40 (FIG. 1)) is abnormal, and a22 indicates the estimated power generation amount estimated from the actual power generation amount of the target other unit according to this embodiment. Unlike the example shown in FIG. 13, the actually measured power generation amount a21 is significantly smaller than the estimated power generation amount a22. For example, the peak value of the actually measured power generation amount a21 is about 3000 W, which is only 60% of about 5000 W of the peak value of the estimated power generation amount a22. In view of the fact that the estimated power generation amount a22 accurately approximates the actually measured power generation amount at the normal time, the state determination unit 114 accurately detects the abnormality of the own unit in a short period of time based on the difference from the actually measured power generation amount a21. Show that you can. In addition, it is not necessary to accumulate the actually measured power generation for a long period of time for detecting an abnormality as in the prior art.

(Modification)
Next, a modification according to this embodiment will be described.
In this modification, as shown in FIG. 15, the weight coefficient data may be stored in the data storage unit 121 for each measurement time within a day. In the following description, a measurement time within one day is called a day measurement time and is distinguished from an arbitrary measurement time.
FIG. 15 is a diagram illustrating an example of weight coefficient data stored in the present modification.
In this example, the day measurement time (measurement time) is associated with the weight coefficient data for each day measurement time. The day measurement time is 24 times (every hour) set at 1 hour intervals from 0:00 (0:00) to 23:00 (0:00). Each of the weight coefficient data 1 to 24 is weight coefficient data associated with each of 0:00 to 23:00. For example, the second line indicates that the daily measurement time “0:00” is associated with “weighting coefficient data 1”. Each weight coefficient data has the configuration shown in FIG.

Further, in the present modification, the power generation amount estimation unit 113 acquires the weight coefficient data associated with the intraday measurement time corresponding to the current measurement time (the intraday time measurement time) from the data storage unit 121, and the acquired weight coefficient Based on the data, the estimated power generation amount of the unit at the current measurement time is calculated. The intraday measurement time corresponding to the current measurement time is a time obtained by removing the date from the current measurement time. For example, when the current measurement time is 1 o'clock on February 19, 2014, the corresponding intraday measurement time is 1 o'clock.
Then, the power generation amount estimation unit 113 generates weighting coefficient data indicating the weighting coefficient adjusted at the current measurement time, and associates the generated weighting coefficient data with the daily measurement time corresponding to the current measurement time in the data storage unit 121. Remember. As a result, the weight coefficient data for each daily measurement time is updated in a daily cycle.

In this modification, the state detection device 10 performs the following state detection process.
FIG. 16 is a flowchart showing a state detection process according to this modification.
The state detection process according to this modification includes steps S101 to S106, S111, and S112. In this process, after step S101 ends, the power generation amount estimation unit 113 executes step S111.
(Step S111) The power generation amount estimation unit 113 identifies the daily measurement time corresponding to the current measurement time, and obtains the weight coefficient data associated with the identified daily measurement time from the data storage unit 121. Thereafter, the process proceeds to step S102. After step S102-106 is complete | finished, it progresses to step S112. However, the power generation amount estimation unit 113 does not update the weight coefficient data stored in the data storage unit 121 in step S106.
(Step S112) The power generation amount estimation unit 113 generates weighting coefficient data indicating the adjusted weighting coefficient. The power generation amount estimation unit 113 stores the specified daily measurement time in association with the generated weight coefficient data in the data storage unit 121. Thereafter, the process shown in FIG. 16 ends.

  As described above, in the present modification, the power generation amount estimation unit 113 adjusts the weight coefficient data at each day measurement time, and the estimated power generation amount of its own unit based on the adjusted weight coefficient data and the measured power generation amount of the target other unit. Is calculated. In addition, the power generation amount estimation unit 113 adjusts the weight coefficient data for each day measurement time in a daily cycle so that the estimation error between the estimated power generation amount of the unit itself and the actually measured power generation amount is reduced. Therefore, the estimation error is reduced regardless of the daily fluctuation of the actually measured power generation amount. For example, the influence of a decrease in the measured power generation amount in some target other units can be mitigated by blocking the solar radiation (shadows) by surrounding installation objects.

FIG. 17 is a diagram illustrating an example of the influence on the actually measured power generation amount.
In FIG. 17, the vertical axis and the horizontal axis indicate the actually measured power generation amount (power generation amount) and time, respectively. b11 indicates the actual measured power generation amount of a certain target other unit 01, and b12 indicates the actual measured power generation amount of another target other unit 02. The actually measured power generation amount b11 is smaller than the actually measured power generation amount b12 from 9:00 to 10:40. For example, the actually measured power generation amount b11 at 10 o'clock is about 40% of the actually measured power generation amount b12. On the other hand, at other times, for example, 14:00, the actually measured power generation amount b11 is substantially equal to the actually measured power generation amount b12. This means that the target other unit 02 is shielded from sunlight by installations (for example, utility poles, buildings) from 9:00 to 10:40, whereas the target other unit 02 is exposed to solar radiation throughout the day. It is because it is not obstructed. As described above, the solar radiation is blocked in some target other units and the solar radiation is not blocked in the other target other units, so that the influence is reduced even when the daily fluctuation characteristics of the actually measured power generation amount are different. Even in such a case, in this modified example, the estimated power generation amount of the own unit is accurately calculated, so that the operation state of the own unit is accurately determined.

As described above, the state detection device 10 acquires the power generation amount of one power generation unit (actual power generation amount of its own unit) and the power generation amount of other power generation units (measured power generation amount of the target other unit). (Data acquisition unit 111). Further, the state detection device 10 includes a power generation amount estimation unit 113 that calculates an estimated power generation amount of one power generation unit (a power generation unit of its own unit) based on the power generation amount of another power generation unit. Further, the state detection device 10 according to the present embodiment determines a state of one power generation unit (self unit) based on the estimated power generation amount calculated by the power generation amount estimation unit 113 and the power generation amount of one power generation unit. A determination unit 114 is provided.
According to this configuration, the state of one power generation unit is determined based on the estimated power generation amount estimated based on the power generation amount of another power generation unit at that time and the acquired power generation amount of one power generation unit. can do. Therefore, it is possible to detect the state of the power generation unit at an early stage without accumulating the power generation amount of each power generation unit for a long period of time.

Moreover, the state detection apparatus 10 includes a selection unit (grouping unit 112) that selects a power generation unit within a predetermined range from one power generation unit as another power generation unit.
According to this configuration, another power generation unit close to one power generation unit is selected. Since the solar radiation amount in the selected other power generation unit approximates the solar radiation amount in one power generation unit, the power generation amount in the other power generation unit approximates to one power generation amount. Therefore, since the power generation amount of one power generation unit can be accurately estimated based on the power generation amount of another selected power generation unit, the state of one power generation unit can be accurately determined.

In addition, the state detection device 10 selects another power generation unit (target other unit) based on the time change characteristic of one power generation unit and the time change characteristic of a power generation unit (other unit) other than the one power generation unit. A selection unit (grouping unit 112) is provided.
According to this configuration, another power generation unit that approximates the time change characteristic of one power generation unit can be selected. Therefore, since the power generation amount of one power generation unit can be accurately estimated based on the power generation amount of another selected power generation unit, the state of one power generation unit can be accurately determined.

Further, in the state detection device 10, the power generation amount estimation unit 113 calculates the estimated power generation amount so that the absolute value of the difference (estimation error) from the power generation amount of one power generation unit is reduced.
According to this configuration, since the estimated power generation amount of one power generation unit is sequentially estimated so as to approximate the power generation amount of one acquired power generation unit, the state of one power generation unit can be detected at an early stage. it can.

Further, in the state detection device 10, the power generation amount estimation unit 113 weights and adds the power generation amount of other power generation units with a weighting factor for each time in each predetermined period (for example, the daily measurement time). The estimated power generation amount of the power generation unit is calculated, and the weighting coefficient is updated at a predetermined cycle (for example, one day) so that the absolute value of the difference (estimation error) is reduced.
According to this configuration, since the weighting coefficient is calculated for each time within a predetermined cycle, the difference between the acquired power generation amount and the estimated power generation amount regardless of the fluctuation in the power generation amount of each power generation unit within the predetermined cycle. Absolute value decreases. Therefore, it is possible to accurately calculate the estimated power generation amount according to the individual circumstances of the power generation unit within a predetermined period.

(Second Embodiment)
Next, a second embodiment of the present invention will be described. About the same structure as embodiment mentioned above, the same code | symbol is attached | subjected and description is used.
A data processing system 1A (not shown) according to the present embodiment includes a state detection device 10A (FIG. 18) and a terminal device 20 (FIG. 2).

Next, the configuration of the state detection device 10A according to the present embodiment will be described.
FIG. 18 is a schematic block diagram illustrating the configuration of the state detection device 10A according to the present embodiment.
The state detection apparatus 10A includes a communication unit 101, a data acquisition unit 111A, a power generation amount estimation unit 113A, a state determination unit 114, a data storage unit 121A, a state output unit 132, and a display unit 133.

  The data acquisition unit 111A inputs, from the communication unit 101, solar radiation amount data received from a device installed outside the state detection device 10A. The solar radiation amount data is data indicating the solar radiation amount for each time. The data acquisition unit 111A acquires, for example, solar radiation amount data stored in a state that can be transmitted to a server device of the Japan Meteorological Agency. The solar radiation amount is specifically the horizontal solar radiation amount. Horizontal solar radiation is the amount of radiant energy received from the sun. The horizontal solar radiation amount is the sum of the amount of radiation directly reached from the sun (directly achieved) and the amount of radiation scattered by the atmosphere (scattered component). In the following description, unless otherwise specified, the solar radiation amount means the horizontal solar radiation amount. The data acquisition unit 111A outputs the input solar radiation amount data to the power generation amount estimation unit 113A. In addition, the data acquisition unit 111A reads the measured power generation amount data related to the own unit from the data storage unit 121A, and outputs the read actual power generation amount data of the own unit to the power generation amount estimation unit 113A.

The solar radiation amount data is input from the data acquisition unit 111A to the power generation amount estimation unit 113A. The power generation amount estimation unit 113A reads its own installation condition information (described later) from the data storage unit 121A. The power generation amount estimation unit 113A calculates the theoretical power generation amount of its own unit based on the measurement time, the solar radiation amount data, and the installation condition information. The theoretical power generation amount is a power generation amount determined based on time and installation conditions. However, the theoretical power generation amount does not take into account other influences, such as the influence of the solar radiation blocked by the installation. A method for calculating the theoretical power generation amount will be described later.
The power generation amount estimation unit 113A calculates the estimated power generation amount of its own unit based on the calculated theoretical power generation amount instead of the actual power generation amount of the target other unit in the power generation amount estimation unit 113 (FIG. 3). Update.

  That is, the power generation amount estimation unit 113A reads the weight coefficient data of its own unit from the data storage unit 121A. In the present embodiment, the weighting coefficient data is data indicating a weighting coefficient related to the theoretical power generation amount of its own unit. Then, the power generation amount estimation unit 113A calculates the estimated power generation amount of its own unit by multiplying the calculated theoretical power generation amount and the weighting coefficient. The power generation amount estimation unit 113A outputs the estimated power generation amount data indicating the calculated estimated power generation amount of the own unit and the actually measured power generation amount data indicating the actual power generation amount to the state determination unit 114. Therefore, the state determination unit 114 determines the operation state of the own unit based on the estimated power generation amount data and the actually measured power generation amount data input from the power generation amount estimation unit 113A.

Further, the power generation amount estimation unit 113A calculates an estimation error by subtracting the estimated power generation amount of the self unit calculated from the actual power generation amount of the self unit, and adjusts the weighting coefficient using Expressions (1) and (2). In this embodiment, the power generation amount estimation unit 113A, the formula (1), substitutes the theoretical power generation amount of the current measurement time to x _t (2). The power generation amount estimation unit 113A generates weighting factor data indicating the adjusted weighting factor of its own unit, and replaces the weighting factor data stored in the data storage unit 121 with the generated weighting factor data.

  The data storage unit 121A stores measured power generation amount data, weight coefficient data, and power generation unit attribute data received from the terminal device 20. However, group data (FIG. 8) may not be stored in the data storage unit 121A.

(Example of power generation unit attribute data)
Next, an example of power generation unit attribute data will be described.
FIG. 19 is a diagram illustrating an example of power generation unit attribute data.
In the present embodiment, in the power generation unit attribute data, installation condition information is further associated with the power generation unit identification information. That is, power generation unit attribute data includes power generation unit identification information (power generation unit ID), name information (name), address information (address), latitude information (latitude), longitude information (longitude), model information (model), and installation. It includes condition information (installation conditions) and these are associated with each other. For example, the power generation unit identification information “01” in the second row includes name information “name 1”, address information “address 1”, latitude information “latitude 1”, longitude information “longitude 1”, and model information “model 1”. , And “Installation condition 1” are associated with each other.

  The installation condition information shown in FIG. 19 includes the direction in which the power generation unit is installed (installation direction), that is, the inclination angle from the horizontal plane, and the azimuth angle indicating the azimuth (for example, east, west, north, and south) in the horizontal plane. However, the power generation amount estimation unit 113A reads the installation condition information of its own unit from the power generation unit attribute data, and also reads latitude information, longitude information, and model information as installation condition information. The latitude information and longitude information are used to calculate the solar altitude angle and solar azimuth angle based on the latitude and longitude. The model information is used to specify the rated power generation amount of the power generation unit. The tilt angle, azimuth angle, solar altitude angle, solar azimuth angle, and rated power generation amount are all coefficients that depend on the power generation amount.

(Calculation of theoretical power generation)
Next, calculation of the theoretical power generation amount by the power generation amount estimation unit 113A will be described.
The power generation amount estimation unit 113A calculates the theoretical power generation amount Q (unit: KWh) by executing the following steps (a) to (j).
(A) The power generation amount estimation unit 113A calculates the solar declination δ (unit: degree) for the current time based on the total number of days J (unit: day) from the first day of the year (formula (4)). ).

In the formula (4), ω is 360/365 (unit: degree / day).
(B) Based on the total number of days J, the power generation amount estimation unit 113A calculates a time difference e (unit: hour) (Formula (5)).

(C) The power generation amount estimation unit 113A calculates the hour angle t _d (unit: degree) based on the longitude θ (unit: degree), the time difference e, and the central standard time T _s (unit: hour) ( Formula (6)).

(D) The power generation amount estimation unit 113A calculates the solar altitude angle α (unit: degree) based on the latitude φ (unit: degree), the solar declination δ, and the hour angle t _d (formula (7)). .

α = 0 degrees and 90 degrees indicate the horizontal direction and the vertical direction, respectively.
(E) The power generation amount estimation unit 113A calculates the solar azimuth angle γ (unit: degree) based on the latitude φ, the solar altitude angle α, the solar red latitude δ, and the hour angle t _d (formula (8)). .

γ = 0, 90, 180, and 270 degrees indicate north, east, south, and west, respectively.
(F) The power generation amount estimation unit 113A calculates the outdoor horizontal plane solar radiation amount H ₀ (unit: KW / m ² ) based on the total number of days J, the coefficient ω, and the solar altitude angle α (formula (9)).

(G) The power generation amount estimation unit 113A calculates the horizontal plane scattered solar radiation amount H _d (unit: KW / m ² ) based on the horizontal solar radiation amount H (unit: KW / m ² ) and the atmospheric horizontal solar radiation amount H _0. ) Is calculated. The horizontal scattered solar radiation amount H _d corresponds to the above-described scattering component.
Power generation amount estimation unit 113A, when calculating the horizontal scattering solar radiation _{H d,} it is possible to use any of the formulas (10) or (11). Expression (10) is a calculation expression based on the Erbs model and the Hay model, and Expression (11) is a calculation expression based on the METPV-3 model and the Hay model.

In Expression (11), coefficients a ₀ , a ₁ , a ₂ , a ₃ , a ₄ , and a ₅ are values determined using the relationship shown in Table 1 according to the sunshine rate S. The sunshine ratio S is a value obtained by dividing the integrated value of sunshine hours for one day by the time from sunset to sunrise.
The coefficient Δ is a value determined by the following relationship according to the sunshine rate S. When the sunshine rate S is 0.0 to 0.1, the coefficient Δ is 0. When the sunshine rate S is 0.2 to 0.5, the coefficient Δ is given by equation (12).

In formula (12), m represents the month.
When the sunshine rate S is 0.6 to 1.0, the coefficient Δ is given by equation (13).

(H) The power generation amount estimation unit 113A calculates the horizontal plane direct solar radiation amount H _b (unit: KW / m ² ) by subtracting the horizontal plane scattered solar radiation amount H _d from the horizontal total solar radiation amount H (formula (14)). The horizontal direct solar radiation amount _Hb corresponds to the direct achievement amount described above.

(I) The power generation amount estimation unit 113A includes a slope direct solar radiation amount h _b (unit: KW / m ² ), a slope reflected solar radiation amount h _r (unit: KW / m ² ), and a slope scattered solar radiation amount h _d (unit: KW / ^{m 2)} the sum a slope insolation h (unit: KW / ^{m 2)} and determined (equation (15)).

The slope direct solar radiation amount h _b is calculated based on the solar altitude angle α, the horizontal direct solar radiation amount Hb, the power generation unit inclination angle β, the power generation unit azimuth angle P _a , the solar azimuth angle γ, and the sky angle θ _z. (Formula (16)).

The celestial angle θ _z is 90−α.
Slopes reflecting solar radiation _{h r,} Al base de (albedo, reflectivity) [rho, is calculated on the basis of the horizontal global solar radiation H, and the inclination angle beta (equation (17)).

  The albedo ρ is the ratio of the reflected light intensity to the incident light intensity. For example, ρ = 0.7 when there is snow around and ρ = 0.2 when there is no snow.

Slope scattered solar radiation h _d is calculated based on the inclination angle β and horizontal scattering solar radiation H _d (Equation (18)).

(J) The power generation amount estimation unit 113A calculates the theoretical power generation amount Q by multiplying the slope solar radiation amount h by the rated power generation amount P _max (unit: KWh) and the loss (loss factor) L (formula (19)).

The power generation amount estimation unit 113A obtains variables related to installation conditions among the above-described variables, that is, latitude φ, longitude θ, inclination angle β, azimuth angle P _a , and rated power generation amount P _max from the power generation unit attribute data (FIG. 19). get. Further, the power generation amount estimation unit 113A identifies the total number of days J and the standard time T _s from the time information. In addition, the albedo ρ and the loss L may be set in advance in the power generation amount estimation unit 113A.

(Status detection process)
Next, the state detection process according to the present embodiment will be described.
FIG. 20 is a flowchart showing state detection processing according to the present embodiment.
The state detection process according to the present embodiment includes steps S121 to S124 and S103 to S106.

(Step S121) The data acquisition unit 111A acquires measured power generation amount data of its own unit from the data storage unit 121A. Thereafter, the process proceeds to step S122.
(Step S122) The data acquisition unit 111A acquires solar radiation amount data from the outside of the state detection device 10A. Thereafter, the process proceeds to step S123.
(Step S123) The power generation amount estimation unit 113A acquires its own unit installation condition information from the data storage unit 121A, and sets the measurement time of the actual unit power generation amount, the solar radiation amount, and the installation conditions indicated by the acquired installation condition information. Based on this, the theoretical power generation amount for each unit is calculated. Thereafter, the process proceeds to step S124.
(Step S124) The power generation amount estimation unit 113A reads the weight coefficient data of its own unit from the data storage unit 121A, and calculates the estimated power generation amount of its own unit based on the calculated theoretical power generation amount and the read weight coefficient data. Thereafter, the process proceeds to step S103. After the state determination unit 114 executes steps S103 and S104 and the power generation amount estimation unit 114A executes steps S105 and S106, the process illustrated in FIG.

  As described above, in the present embodiment, the theoretical power generation amount of the own unit obtained from the solar radiation amount and the installation conditions is calculated, and the estimated power generation amount is calculated based on the weight coefficient data that is sequentially adjusted to the calculated theoretical power generation amount. calculate. This estimated power generation amount accurately approximates the actually measured power generation amount at the normal time. Therefore, it is not necessary to accumulate the actually measured power generation for a long period of time for detecting an abnormality as in the prior art. Further, unlike the first embodiment, since it is not necessary to refer to the measured power generation amount of the target other unit, the amount of hardware processing can be reduced and the system scale can be reduced.

(Modification)
Next, a modification according to this embodiment will be described.
Also in this modification, as shown in FIG. 15, the weight coefficient data for each day measurement time may be stored in the data storage unit 121A.
In addition, the power generation amount estimation unit 113A acquires weight coefficient data associated with the day measurement time corresponding to the current measurement time from the data storage unit 121A, and based on the acquired weight coefficient data, the unit of power generation at the current measurement time. Calculate the estimated power generation. The intraday measurement time corresponding to the current measurement time is a time obtained by removing the date from the current measurement time.
The power generation amount estimation unit 113A generates weighting factor data indicating the weighting factor adjusted at the current measurement time, and stores the generated weighting factor data in the data storage unit 121 in association with the daily measurement time corresponding to the current measurement time. . As a result, the weight coefficient data for each daily measurement time is updated in a daily cycle.

In this modification, the state detection device 10A performs the following state detection process.
FIG. 21 is a flowchart showing a state detection process according to this modification.
The state detection process according to this modification includes steps S121 to S123, S111A, S124, S103 to S106, and S112A. In this process, after step S123 is completed, the power generation amount estimation unit 113A executes step S111A.
(Step S111A) The power generation amount estimation unit 113A specifies a daily measurement time corresponding to the current measurement time, and acquires weight coefficient data associated with the specified daily measurement time from the data storage unit 121A. Thereafter, the process proceeds to step S124. After steps S124 and S103-106 are completed, the process proceeds to step S112A. In step S106, the power generation amount estimation unit 113A does not update the weight coefficient data stored in the data storage unit 121.
(Step S112A) The power generation amount estimation unit 113A generates weighting coefficient data indicating the adjusted weighting coefficient. The power generation amount estimation unit 113A stores the specified daily measurement time in association with the generated weight coefficient data in the data storage unit 121A. Then, the process shown in FIG. 21 is complete | finished.

  As described above, in the present modification, the power generation amount estimation unit 113A adjusts the weight coefficient data at each day measurement time, and the estimated power generation amount of its own unit based on the adjusted weight coefficient data and the measured power generation amount of the target other unit. Is calculated. In addition, the power generation amount estimation unit 113A adjusts the weight coefficient data so that the estimation error between the estimated power generation amount and the actually measured power generation amount is reduced. Therefore, the estimation error is reduced regardless of the daily fluctuation of the actually measured power generation amount. For example, it is possible to mitigate the influence of a decrease in the actually measured power generation amount caused by the fact that solar radiation is blocked by surrounding installations. Therefore, since the estimated power generation amount of the own unit is calculated with high accuracy, the operation state of the own unit is accurately determined.

As described above, the state detection apparatus 10A includes the acquisition unit (data acquisition unit 111A) that acquires the power generation amount and the solar radiation amount of the power generation unit (self unit). Further, the state detection apparatus 10A includes a power generation amount estimation unit 113A that calculates an estimated power generation amount of a power generation unit based on the amount of solar radiation acquired by the acquisition unit and the installation conditions of the power generation unit. The state detection device 10A includes a state determination unit 114 that determines the state of the power generation unit based on the estimated power generation amount calculated by the power generation amount estimation unit and the power generation amount of the power generation unit.
According to this configuration, the state of the power generation unit can be determined based on the estimated power generation amount estimated based on the amount of solar radiation at that time and the installation conditions and the power generation amount of the acquired power generation unit. The state of the power generation unit can be detected at an early stage. Moreover, since it is not necessary to refer to the estimated power generation amount of other power generation units in the detection, the processing amount and the hardware scale can be reduced.

In the state detection device 10A, the installation condition includes the position of the power generation unit.
According to this configuration, the state of the power generation unit is determined based on the estimated power generation amount calculated according to the position of the power generation unit and the acquired power generation amount of the power generation unit. Therefore, the state of the power generation unit can be accurately detected regardless of the position of the power generation unit.

Further, in the state detection device 10A, the installation condition includes the installation direction of the power generation unit.
According to this configuration, the state of the power generation unit is determined based on the estimated power generation amount calculated according to the installation direction of the power generation unit and the acquired power generation amount of the power generation unit. Therefore, the state of the power generation unit can be accurately detected regardless of the installation direction of the power generation unit.

Further, in the state detection device 10A, the installation conditions include the model of the power generation unit.
According to this configuration, the state of the power generation unit is determined based on the estimated power generation amount calculated according to the model of the power generation unit and the acquired power generation amount of the power generation unit. Therefore, the state of the power generation unit can be accurately detected regardless of the model of the power generation unit.

Further, the state detection device 10A includes an acquisition unit that acquires the power generation amount and the solar radiation amount of the power generation unit, and the power generation that calculates the estimated power generation amount of the power generation unit based on the solar radiation amount acquired by the acquisition unit and the installation conditions of the power generation unit. An amount estimation unit, and an output unit (state output unit 132) that outputs the estimated power generation amount calculated by the power generation amount estimation unit.
According to this configuration, it is possible to output an estimated power generation amount estimated based on the amount of solar radiation and installation conditions at that time. Since the user can refer to the estimated power generation amount according to the installation conditions, the maintenance management of the power generation unit can be made efficient.

In the state detection apparatus 10A, the power generation amount estimation unit 113 calculates the estimated power generation amount so that the absolute value of the difference (estimation error) between the power generation amount of the power generation unit (self unit) is reduced.
According to this configuration, since the estimated power generation amount of the power generation unit is sequentially estimated so as to approximate the power generation amount of the acquired power generation unit, the state of the power generation unit can be detected early.

Further, in the state detection device 10A, the power generation amount estimation unit 113 weights the power generation amount of the power generation unit by a weighting factor for each time within a predetermined cycle (for example, the day measurement time), and estimates the power generation amount of the power generation unit. And the weighting coefficient is updated at a predetermined cycle (for example, one day) so that the absolute value of the difference (estimation error) is reduced.
According to this configuration, since the weighting coefficient is calculated for each time within the predetermined cycle, the difference between the acquired power generation amount and the estimated power generation amount regardless of the fluctuation within the predetermined cycle of the power generation amount of the power generation unit. Absolute value decreases. Therefore, it is possible to accurately calculate the estimated power generation amount according to the individual circumstances of the power generation unit within a predetermined period.

(Third embodiment)
Next, a third embodiment of the present invention will be described. About the same structure as embodiment mentioned above, the same code | symbol is attached | subjected and description is used.
A data processing system 1B (not shown) according to the present embodiment includes a state detection device 10B (FIG. 22) and a terminal device 20 (FIG. 2).

Next, the configuration of the state detection device 10B according to the present embodiment will be described.
FIG. 22 is a schematic block diagram illustrating a configuration of the state detection device 10B according to the present embodiment.
The state detection device 10B includes a communication unit 101, a data acquisition unit 111B, a state determination unit 114B, a data control unit 115B, a data storage unit 121B, a state output unit 132, and a display unit 133.

The data storage unit 121B includes a FIFO (First-In First-Out) memory. The FIFO memory is a first-in first-out readable / writable storage medium.
Further, the data storage unit 121B stores the actually measured power generation amount data and the power generation unit attribute data received from the terminal device 20. However, the group data (FIG. 8) may not be stored in the data storage unit 121B.

  The data acquisition unit 111 </ b> B is a set (a power generation amount list) of the actual power generation amount and the measurement time for a predetermined first period (for example, one day) related to the unit from the actual power generation amount data stored in the data storage unit 121 </ b> B. Is read. The data acquisition unit 111B outputs the read power generation amount list to the power generation amount selection unit 113B.

The data control unit 115B selects the maximum measured power generation amount (first maximum actually measured power generation amount) from the power generation amount list input from the data acquisition unit 111B. The data control unit 115B stores the selected first maximum actually measured power generation amount in the FIFO memory of the data storage unit 121B.
The data control unit 115B selects the maximum value (second maximum actually measured power generation amount) among the first maximum actually measured power generation amount stored in the FIFO memory. The FIFO memory stores a predetermined number (for example, seven) of first maximum actually measured power generation amounts greater than one. That is, the FIFO memory stores the first maximum actually measured power generation amount for a period (second period, for example, 7 days) obtained by multiplying the predetermined number by the first period. Therefore, the selected second maximum actually-measured power generation amount corresponds to the maximum actually-measured power generation amount within the second period until that time.
The data control unit 115B deletes the first maximum actually measured power generation amount stored first in the FIFO memory, and delays the other first maximum actually measured power generation amount by the first period. A new first maximum actually measured power generation amount can be stored in the FIFO memory. The data control unit 115B outputs the selected first maximum actually measured power generation amount and second maximum actually measured power generation amount to the state determination unit 114B.

  The state determination unit 114B determines its own operation state based on the first maximum actually measured power generation amount and the second maximum actually measured power generation amount input from the data control unit 115B. Here, the state determination unit 114B determines that the operation state of its own unit is “abnormal” when the first maximum actually measured power generation amount is significantly smaller than the second maximum actually measured power generation amount. Specifically, the state determination unit 114B, when the normalized value obtained by normalization by dividing the second maximum actually measured power generation amount by the first maximum actually measured power generation amount exceeds a predetermined normalized value threshold, Determined as “abnormal”. The state determination unit 114B determines “normal” when the normalized value is equal to or smaller than a predetermined normalized value. The state determination unit 114B outputs state data indicating the determined state of the own unit to the state output unit 132 and the communication unit 101.

(Data control by the data control unit 115B)
Next, data control by the data control unit 115B will be described. In the following description, the case where the first period is one day is taken as an example.
FIG. 23 is a diagram illustrating an example of the first maximum actually measured power generation amount stored in the FIFO memory of the data storage unit 121B.
In this example, seven first maximum actually measured power generation amounts (for seven days) are stored every day. In FIG. 23, the newer date is shown on the right side. The maximum actually measured power generation amounts 1 to 7 are the first maximum actually measured power generation amounts on the first day to the seventh day, respectively.

Here, the data control unit 115B selects the first maximum actually measured power generation amount from the most recent one day power generation amount list, and stores it as the maximum actually measured power generation amount 7 in the FIFO memory ((1) accumulation).
Next, the data control unit 115B selects the maximum value as the second maximum actually measured power generation amount among the first maximum actually measured power generation amounts (maximum actually measured power generation amounts 1 to 7) stored in the FIFO memory ((2) selection) ).
Then, the data control unit 115B deletes the earliest first maximum actually measured power generation amount (maximum actually measured power generation amount 1) among the first maximum actually measured power generation amounts stored in the FIFO memory ((3) deletion).
When the data control unit 115B delays the first maximum actually measured power generation amount (maximum actually measured power generation amount 2 to 7) stored in the FIFO memory by one day (first period), the area of the maximum actually measured power generation amount 1 to 6 ((4) delay).
The data control unit 115B performs the processes (1) to (4) described above every day (first period).

(Status detection process)
Next, the state detection process according to the present embodiment will be described.
FIG. 24 is a flowchart showing the state detection process according to the present embodiment.
The state detection device 10B executes the process shown in FIG. 24 every day.
(Step S131) The data acquisition unit 111B acquires a power generation amount list for one day related to the own unit from the actually measured power generation amount data stored in the data storage unit 121B. Thereafter, the process proceeds to step S132.
(Step S132) The data control unit 115B selects the first maximum actually measured power generation amount (daily maximum actually measured power generation amount) from the daily power generation amount list selected by the data acquisition unit 111B. Thereafter, the process proceeds to step S133.

(Step S133) The data control unit 115B stores the selected first maximum actually measured power generation amount (daily maximum actually measured power generation amount) in the FIFO memory. Thereafter, the process proceeds to step S134.
(Step S134) The data control unit 115B acquires the second maximum actually measured power generation amount (total maximum actually measured power generation amount) from the first maximum actually measured power generation amount (daily maximum actually measured power generation amount) stored in the FIFO memory. Thereafter, the process proceeds to step S135.
(Step S135) The data control unit 115B delays the first maximum actually measured power generation amount accumulated in the FIFO memory by one cycle. Thereafter, the process proceeds to step S136.

(Step S136) The state determination unit 114B normalizes the second maximum actually measured power generation amount (total maximum actually measured power generation amount) by dividing by the current first maximum actually measured power generation amount (daily maximum actually measured power generation amount). It is determined whether the normalized value exceeds a threshold value of a predetermined normalized value. When the normalized value exceeds the predetermined normalized value threshold (step S136 YES), the process proceeds to step S137. If the normalization value is equal to or smaller than the predetermined normalization value (NO in step S136), state determination unit 114B ends the process shown in FIG.
(Step S137) The state determination unit 114 determines that the operation state of the own unit is “abnormal” (power generation abnormality). Then, the process shown in FIG. 24 is complete | finished.

As described above, the state detection device 10B according to the present embodiment includes the acquisition unit (data acquisition unit 111B) that acquires the power generation amount of the power generation unit (self unit). Further, the state detection device 10B includes a first maximum value (first maximum actually measured power generation amount) that is the maximum value of the power generation amount within the first period from the power generation amount acquired by the acquisition unit to the current time, and a first cycle. A control unit (data control unit 115B) that selects a second maximum value (second maximum actually measured power generation amount) that is a longer second cycle and is the maximum value of the power generation amount within the second cycle until the current time. . In addition, the state detection device 10B includes a state determination unit (state determination unit 114B) that determines the state of the power generation unit based on the first maximum value and the second maximum value selected by the control unit.
According to this configuration, the state of the power generation unit is determined based on the selected maximum value in the first period and maximum value in the second period. Therefore, the state of the power generation unit is accurately determined based on the fluctuation of the power generation amount within the second period longer than the first period without being affected by the fluctuation of the power generation amount within the first period. Further, since it is sufficient to accumulate the power generation amount at least within the second period for the determination, it is possible to determine the state of the power generation unit at an early stage and with simple processing. Therefore, the processing amount and the hardware scale can be reduced.

Further, the state detection device 10B includes a storage unit (FIFO memory) that stores the first maximum value in the second period until the current time, and the control unit has a maximum value of the first maximum value stored in the storage unit. Select. According to this configuration, since the storage unit only needs to store the first maximum value for the second period, the capacity of the storage unit can be reduced.
In the state detection device 10B, the first cycle is one day. According to this configuration, the state of the power generation unit is accurately determined based on the fluctuation of the power generation amount within the second period longer than one day without being affected by the fluctuation of the power generation amount within the day.

(Modification of each embodiment)
The technical scope of the present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the spirit of the present invention.
In the embodiment described above, the case where the power generation unit is the power generation device 40 (FIG. 1) connected to the terminal device 20 is taken as an example. However, the unit may be a more fragmented unit or more comprehensive. It may be a unit.
For example, in the data processing systems 1, 1 </ b> A, and 1 </ b> B, each one string 411 that forms one power generation device 40 may be treated as one power generation unit. In this case, since the state detection devices 10, 10A, and 10B specify a string that has detected a predetermined state (for example, abnormality) in the power generation device 40, maintenance management can be made more efficient for the user.

  The power generation device 40 includes a string converter 421 for each string 411 formed from a plurality of modules 412 as shown in FIG. The string converter 421 adjusts the electric power generated by the corresponding string 411 so that the electromotive voltages between the strings 411 are equal. The string converter 421 is, for example, a booster. The string converter 421 supplies the adjusted power to the power conditioner 43, and the power conditioner 43 collects the power supplied from each string converter 421. When each string 411 is treated as one power generation unit, the power generation amount by the power adjusted by each string converter 421 is input to the data input unit 201 (FIG. 4) as the actual power generation amount of each power generation unit. It only has to be done.

In addition, a plurality of power generation devices 40 may be connected to the terminal device 20, but in the data processing systems 1, 1A, 1B, the whole of the plurality of power generation devices 40 may be treated as one power generation unit. However, each power generation device 40 may be treated as one power generation unit. When the power generation unit is one power generation device 40, the state detection devices 10, 10A, and 10B detect the state of each power generation device. When the power generation unit is a set of a plurality of power generation devices 40, the state detection devices 10, 10 </ b> A, 10 </ b> B detect the state for each set of the power generation devices 40. Since maintenance management is urged for a plurality of power generation devices 40 at once, the maintenance management can be made more efficient for the user.
For example, in the data processing systems 1, 1 </ b> A, and 1 </ b> B, the whole of the plurality of power generation apparatuses 40 installed in one building (a collective housing, a building, etc.) and a facility (a store, a business office, a government office, etc.) is 1. It may be treated as one power generation unit. In addition, the entirety of the plurality of power generation devices 40 installed in a part of these buildings or facilities (for example, floors, rooms) may be treated as one power generation unit. Further, the whole of the plurality of power generation devices 40 belonging to the self unit group (FIG. 8) may be treated as one power generation unit.

Further, the terminal device 20 has a configuration for determining the operation state of the own unit based on the actually measured power generation amount, similarly to the state detection device 10 (FIG. 3), 10A (FIG. 18), and 10B (FIG. 22). May be. Thereby, the terminal device 20 is comprised as a state detection apparatus or a data processing system. For example, the terminal device 20 may be configured as shown in FIG. 26 based on the state detection device 10 (FIG. 3).
The terminal device 20 includes a data input unit 201, a communication unit 202, a data processing unit 211, a data storage unit 221, an operation input unit 231, a status output unit 232, a display unit 233, a grouping unit 112 of the state detection device 10, You may provide the electric power generation amount estimation part 113 and the state determination part 114 (FIG. 3). In this configuration, the data processing unit 211 outputs the measured power generation amount data to the grouping unit 112 and the power generation amount estimation unit 113. The communication unit 202 may not transmit the actually measured power generation amount data.

Further, the terminal device 20 is similar to the state detection device 10A, in addition to the data input unit 201, the communication unit 202, the data processing unit 211, the data storage unit 221, the operation input unit 231, the state output unit 232, and the display unit 233. A power generation amount estimation unit 113A and a state determination unit 114 (FIG. 18) may be provided (not shown). In this configuration, the data processing unit 211 receives the solar radiation amount data, and outputs the solar radiation amount data and the actually measured power generation amount data to the power generation amount estimation unit 113A. The communication unit 202 may not transmit the actually measured power generation amount data.
The terminal device 20 is similar to the state detection device 10B, in addition to the data input unit 201, the communication unit 202, the data processing unit 211, the data storage unit 221, the operation input unit 231, the state output unit 232, and the display unit 233. The state determination unit 114B and the data control unit 115B (FIG. 22) may be provided, and the data storage unit 221 may further include a FIFO memory (not shown). In this configuration, the data processing unit 211 outputs measured power generation amount data to the data control unit 115B. The communication unit 202 may not transmit the actually measured power generation amount data.

  Further, the terminal device 20 may be configured to be integrated with the power conditioner 43 in addition to the configuration for determining the operation state of the own unit based on the actually measured power generation amount. According to this structure, since the power conditioner which converts the electric power which the self unit generated is integrated with the state detection device (terminal device 20) which detects the self unit state, the self unit and the power conditioner The maintenance management of 43 can be unified and the efficiency can be improved.

  The terminal device 20 may be further integrated with the power generation device 40. In that case, the terminal device 20 may treat the integrated power generation device 40 as its own unit, which is one power generation unit, or each string 411 constituting the integrated power generation device 40 as one power generation unit. May be handled. When the terminal device 20 includes the power generation amount estimation unit 113, one string 411 may be handled as its own unit and the other string 411 may be handled as another unit. According to this configuration, since the power generation device 40 is integrated with the state detection device (terminal device 20) that detects the state based on the generated power, the user can immediately grasp the state. Therefore, the maintenance management of the power generator 40 can be made efficient.

Further, the state output unit 232 of the terminal device 20 may cause the display unit 233 to display the estimated power generation amount of its own unit calculated by the power generation amount estimation units 113 (FIG. 3) and 113A (FIG. 18). In that case, as shown in FIGS. 13 and 14, the state output unit 232 may display the estimated power generation amount at each measurement time as a graph, or may further display the actually measured power generation amount in a superimposed manner.
Further, the state output unit 232 can output the state data indicating the operation state of the power generation device 40, the actual measurement power generation data indicating the actual power generation amount, and the estimated power generation amount data indicating the estimated power generation amount to the outside of the terminal device 20. There may be.
That is, the terminal device 20 may be configured as a data output device including an acquisition unit (data processing unit 211), a power generation amount estimation unit 113A, and an output unit (state output unit 232). With this configuration, it is possible to output an estimated power generation amount estimated based on the amount of solar radiation and installation conditions at that time. Since the user can refer to the estimated power generation amount corresponding to the output installation conditions, the maintenance management of the power generation unit can be made efficient.

Further, the terminal device 20 may be configured to include the position acquisition unit 234 (FIG. 26). The position acquisition unit 234 acquires position information indicating the position of the own part. The position acquisition unit 234 may detect its own position based on radio waves transmitted from a GPS (Global Positioning System) satellite, for example. When the terminal device 20 is connected to a public wireless communication network via a radio base station device (not shown), the location acquisition unit 234 obtains location information from the system information received from the radio base station device. It may be extracted. Further, the position acquisition unit 234 may detect the position of the own part based on arrival times of radio waves received from a plurality of radio base station apparatuses. Further, the position acquisition unit 234 may specify a position corresponding to the address input from the operation input unit 231 with reference to map data in which the position and the address are associated with each other. Here, map data may be stored in the data storage unit 221 in advance, or the position acquisition unit 234 may acquire map data from a device connected to the network 60.
In addition, the state detection apparatus 10 (FIG. 3) and 10A (FIG. 18) may be comprised including the position acquisition part 234 similarly to the terminal device 20 (FIG. 26).
And the grouping part 112 (FIG. 3, 26) of the state detection apparatus 10 or the terminal device 20 is one of the grouping processes (FIGS. 10-12) mentioned above based on the position which the position information which the position acquisition part 234 acquired shows. May be executed. Further, the power generation amount estimation unit 113A (FIG. 18) of the state detection device 10A or the terminal device uses the position indicated by the position information acquired by the position acquisition unit 234 as an element of the installation condition, and thus the theoretical power generation amount of its own unit. An estimated power generation amount may be calculated.

In the above description, the state determination unit 114 (FIGS. 3, 18 and 26) determines the state of the own unit based on the normalized value obtained by dividing the estimated power generation amount of the own unit by the actually measured power generation amount. However, the present invention is not limited to this. The state determination unit 114 may determine the state of the own unit based on an estimation error between the estimated power generation amount of the own unit and the actually measured power generation amount.
In addition, the state determination unit 114B (FIG. 22) exemplifies a case where the state of its own unit is determined based on a normalized value obtained by dividing the second maximum actually measured power generation amount by the first maximum actually measured power generation amount. However, it is not limited to this. The state determination unit 114B may determine the state of its own unit based on the difference between the second maximum actually measured power generation amount and the first maximum actually measured power generation amount.
Further, in the above description, the state determination unit 114 (FIGS. 3, 18, and 26) and the state determination unit 114B (FIG. 22) determine one of two levels (“abnormal” and “normal”) as their own unit state. Although the case is taken as an example, this is not restrictive. The state determination unit 114 (FIGS. 3, 18, and 26) and the state determination unit 114 </ b> B (FIG. 22) set the two or more different threshold values in advance, thereby the state determination unit 114 (FIGS. 3, 18, and 26). ), The state determination unit 114B (FIG. 22) may determine any of three or more levels as the state of the own unit.

In the above description, the display units 133 (FIGS. 3, 18, 22) and 233 (FIGS. 4 and 26) have been described as examples having a configuration (for example, a display) that presents visual information. I can't. The display units 133 and 233 may include a configuration (for example, a speaker) that presents auditory information together with the configuration instead of the configuration that presents visual information.
Further, the state output unit 132 (FIGS. 3, 18, and 22) of the state detection devices 10, 10A, and 10B and the state output unit 132 (FIG. 26) of the terminal device 20 are respectively connected to the communication unit 101 (FIGS. 3, 18, and 22). , 202 (FIG. 26), the above-described state data may be transmitted to a preset destination device (for example, a multi-function mobile phone). As a result, the user's desired device is notified of its own operation state.

Some of the state detection devices 10, 10A, and 10B described above, for example, the data acquisition unit 111, the grouping unit 112, the power generation amount estimation units 113 and 113A, the state determination units 114 and 114B, the data control unit 115B, and the terminal device 20 For example, the data processing unit 211 and the status output unit 232 may each be realized by a computer. In that case, the program for realizing the control function may be recorded on a computer-readable recording medium, and the program recorded on the recording medium may be read by the computer system and executed. Here, the “computer system” is a computer system built in the state detection device 10, 10A, 10B or a part of the terminal device 20, and includes hardware such as an OS and peripheral devices. . The “computer-readable recording medium” refers to a storage device such as a flexible medium, a magneto-optical disk, a portable medium such as a ROM and a CD-ROM, and a hard disk incorporated in a computer system. Furthermore, the “computer-readable recording medium” is a medium that dynamically holds a program for a short time, such as a communication line when transmitting a program via a network such as the Internet or a communication line such as a telephone line, In this case, a volatile memory inside a computer system that serves as a server or a client may be included that holds a program for a certain period of time. The program may be a program for realizing a part of the functions described above, and may be a program capable of realizing the functions described above in combination with a program already recorded in a computer system.
In the present embodiment, part or all of the state detection devices 10, 10A, 10B, or the terminal device 20 in the above-described embodiments may be realized as an integrated circuit such as an LSI (Large Scale Integration). Each functional block of the state detection device 10, 10A, 10B or the terminal device 20 may be individually made into a processor, or a part or all of them may be integrated into a processor. Further, the method of circuit integration is not limited to LSI, and may be realized by a dedicated circuit or a general-purpose processor. In addition, when an integrated circuit technology that replaces LSI appears due to the advancement of semiconductor technology, an integrated circuit based on the technology may be used.

  As described above, the embodiment of the present invention has been described in detail with reference to the drawings. However, the specific configuration is not limited to the above, and various design changes and the like can be made without departing from the scope of the present invention. It is possible to

DESCRIPTION OF SYMBOLS 1, 1A, 1B ... Data processing system 10, 10A, 10B ... State detection apparatus, 101 ... Communication part,
111, 111A, 111B ... data acquisition unit, 112 ... grouping unit,
113, 113A ... power generation amount estimation unit,
114, 114B ... state determination unit, 115B ... data control unit,
121, 121A, 121B ... data storage unit, 132 ... status output unit,
133 ... Display unit 151 ... Bus 20 ... Terminal device 201 ... Data input unit 202 ... Communication unit 211 ... Data processing unit
221 ... Data storage unit, 231 ... Operation input unit, 232 ... Status output unit, 233 ... Display unit,
234 ... position acquisition unit, 251 ... bus,
40 ... Power generation device, 41 ... Power generation unit, 411 ... String, 412 ... Module,
421 ... String converter, 43 ... Power conditioner 50 ... Distribution board, 60 ... Network

Claims (13)

An acquisition unit for acquiring a power generation amount of one power generation unit and a power generation amount of another power generation unit;
A power generation amount estimation unit that calculates an estimated power generation amount of the one power generation unit based on the power generation amount of the other power generation unit;
A state determination unit that determines a state of the one power generation unit based on the estimated power generation amount calculated by the power generation amount estimation unit and the power generation amount of the one power generation unit;
A state detection apparatus comprising: A selection unit for selecting a power generation unit within a predetermined range from the one power generation unit as the other power generation unit;
The state detection apparatus of Claim 1 provided. Based on the time change characteristic of the one power generation unit and the time change characteristic of a power generation unit other than the one power generation unit, a selection unit that selects the other power generation unit,
The state detection apparatus of Claim 1 or 2 provided.   The state detection device according to any one of claims 1 to 3, wherein the power generation amount estimation unit calculates the estimated power generation amount so that an absolute value of a difference from the power generation amount of the one power generation unit is reduced.   The power generation amount estimation unit calculates the estimated power generation amount of the one power generation unit by weighting and adding the power generation amount of the other power generation unit with a weighting factor for each time within each predetermined period, The state detection apparatus according to claim 4, wherein the weighting coefficient is updated at the predetermined period so that an absolute value is reduced.   The state detection device according to claim 1, wherein the power generation unit is a solar power generation device.   The state detection device according to any one of claims 1 to 5, wherein the power generation unit is a set of a plurality of solar power generation devices.   The state detection apparatus according to claim 1, wherein the power generation unit is a string formed by connecting solar modules in series. A converter that converts the power generated by the one power generation unit into AC power;
The state detection apparatus of any one of Claim 1 to 8 provided.   The state detection apparatus of Claim 9 provided with the solar power generation device which concerns on said one electric power generation unit. A state detection method in a state detection device, wherein an acquisition process of acquiring a power generation amount of one power generation unit and a power generation amount of another power generation unit;
A power generation amount estimation process for calculating an estimated power generation amount of the one power generation unit based on the power generation amount of the other power generation unit;
A state determination step of determining a state of the one power generation unit based on the estimated power generation amount calculated in the power generation amount estimation step and the power generation amount of the one power generation unit;
A state detection method. In the computer of the state detection device,
An acquisition procedure for acquiring the power generation amount of one power generation unit and the power generation amount of another power generation unit,
A power generation amount estimation procedure for calculating an estimated power generation amount of the one power generation unit based on the power generation amount of the other power generation unit;
A state determination procedure for determining a state of the one power generation unit based on the estimated power generation amount calculated in the power generation amount estimation procedure and the power generation amount of the one power generation unit;
A state detection program to execute. A data processing system comprising a terminal device and a state detection device,
The terminal device
Sends the power generation amount of the power generation unit to the state detection device,
The state detection device includes:
An acquisition unit for acquiring a power generation amount of one power generation unit and a power generation amount of another power generation unit;
A power generation amount estimation unit that calculates an estimated power generation amount of the one power generation unit based on the power generation amount of the other power generation unit;
A state determination unit that determines a state of the one power generation unit based on the estimated power generation amount calculated by the power generation amount estimation unit and the power generation amount of the one power generation unit;
A data processing system comprising:

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