JPH07123594A - Abnormality detector for solar cell - Google Patents

Abnormality detector for solar cell

Info

Publication number
JPH07123594A
JPH07123594A JP5264736A JP26473693A JPH07123594A JP H07123594 A JPH07123594 A JP H07123594A JP 5264736 A JP5264736 A JP 5264736A JP 26473693 A JP26473693 A JP 26473693A JP H07123594 A JPH07123594 A JP H07123594A
Authority
JP
Japan
Prior art keywords
solar cell
power generation
data
measured
generation amount
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP5264736A
Other languages
Japanese (ja)
Inventor
Naotaka Uchiyama
直隆 内山
Shinichi Murashige
伸一 村重
Masao Mabuchi
雅夫 馬渕
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Omron Corp
Original Assignee
Omron Corp
Omron Tateisi Electronics Co
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Omron Corp, Omron Tateisi Electronics Co filed Critical Omron Corp
Priority to JP5264736A priority Critical patent/JPH07123594A/en
Publication of JPH07123594A publication Critical patent/JPH07123594A/en
Pending legal-status Critical Current

Links

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers

Abstract

PURPOSE:To allow positive detection of abnormality in a solar cell by comparing a newly measured generated power amount data with a generated power amount data measured under corresponding state and stored in a memory means thereby deciding whether the solar cell is abnormal or not. CONSTITUTION:A measured generated power amount data of a solar cell 8 and a measuring condition data, e.g. weather, are stored sequentially in a memory 19. A decision section 22 decides whether the solar cell 8 is abnormal by comparing the measured generated power amount data with a generated power amount data measured under corresponding conditions and stored in the memory 19. In other words, the decision is made by comparing the amounts measured under similar weather conditions. This constitution allows positive detection of abnormality in the solar cell 8 with no influence of variation in the ambient conditions, e.g. variation in the quantity of solar radiation due to the weather.

Description

【発明の詳細な説明】Detailed Description of the Invention

【0001】[0001]

【産業上の利用分野】本発明は、太陽光発電に使用され
る太陽電池の劣化、故障あるいは電池表面への物の付着
といった異常を検出する太陽電池の異常検出装置に関す
る。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a solar cell abnormality detecting device for detecting abnormality such as deterioration, failure or adhesion of a substance on the surface of a solar cell used for photovoltaic power generation.

【0002】[0002]

【従来の技術】近年、太陽光発電による分散型電源と商
用電源とを連系し、分散型電源だけでは電力が賄えない
場合に、その電力を系統側から供給するようにしたシス
テムが開発されている。
2. Description of the Related Art In recent years, a system has been developed in which a distributed power source by solar power generation and a commercial power source are interconnected, and when the distributed power source cannot supply the power, the system side supplies the power. Has been done.

【0003】[0003]

【発明が解決しようとする課題】このようなシステムな
どに使用される太陽電池の発電量は、天候による日射量
の変化や温度変化などの周囲の状況に大きく左右される
ために不安定である。
The amount of power generated by a solar cell used in such a system is unstable because it greatly depends on the surrounding conditions such as changes in the amount of solar radiation due to the weather and temperature changes. .

【0004】このため、太陽電池の経年劣化、故障ある
いは屋外に配置される太陽電池の電池表面への物(落ち
葉や鳥の糞)の付着といった異常が生じて発電量が低下
したとしても、その原因が上述の周囲の状況の変化によ
る太陽電池の特性に基づく単なる発電量のむらであるの
か、あるいは、太陽電池に発生した異常であるのかを判
定するのが困難である。
For this reason, even if an abnormality such as aging deterioration of the solar cell, failure, or adhesion of an object (falling leaves or bird droppings) to the surface of the solar cell arranged outdoors, the amount of power generation is reduced. It is difficult to determine whether the cause is the mere unevenness of the amount of power generation based on the characteristics of the solar cell due to the above-mentioned change in the surrounding conditions or the abnormality that has occurred in the solar cell.

【0005】本発明は、上述の点に鑑みて為されたもの
であって、太陽電池に生じた異常を確実に検出できるよ
うにすることを目的とする。
The present invention has been made in view of the above points, and an object of the present invention is to make it possible to reliably detect an abnormality occurring in a solar cell.

【0006】[0006]

【課題を解決するための手段】本発明では、上述の目的
を達成するために、次のように構成している。
In order to achieve the above-mentioned object, the present invention is constructed as follows.

【0007】すなわち、本発明の太陽電池の異常検出装
置は、一定期間単位で順次計測される太陽電池の発電量
データが、その計測される一定期間毎の状況を示す状況
データと共に順次記憶される記憶手段と、計測された一
定期間の太陽電池の発電量データと、この発電量データ
が計測された状況に対応した状況で計測されて前記記憶
手段に既に記憶されている発電量データとを、比較して
太陽電池の異常の有無を判定する判定手段とを備えてい
る。
That is, in the abnormality detecting device for a solar cell according to the present invention, the power generation amount data of the solar cell which is sequentially measured in a unit of a fixed period is sequentially stored together with the situation data indicating the state of the measured fixed period. Storage means, the power generation amount data of the solar cell measured for a certain period of time, and the power generation amount data measured in a situation corresponding to the situation in which this power generation amount data is measured and already stored in the storage means, And a determination unit that determines whether or not there is an abnormality in the solar cell by comparison.

【0008】[0008]

【作用】上記構成によれば、計測した発電量データとそ
の計測した状況、例えば、天候などを示す状況データと
を順次記憶手段に格納するとともに、計測した発電量デ
ータと、その発電量データを計測した状況に対応した状
況で計測されて既に記憶手段に格納されている発電量デ
ータとを比較して異常の有無を判定しているので、例え
ば、天候が類似したときに計測された発電量データ同士
を比較して判定することになり、したがって、天候によ
る日射量の変化などの周囲の状況の変化の影響を受ける
ことなく、太陽電池の異常に基づく発電量データの変化
を検出できることになる。
According to the above configuration, the measured power generation amount data and the measured condition, for example, the condition data indicating the weather and the like are sequentially stored in the storage means, and the measured power generation amount data and the power generation amount data are stored. Since the presence or absence of abnormality is determined by comparing with the power generation amount data that has been measured in a situation corresponding to the measured condition and already stored in the storage means, for example, the power generation amount measured when the weather is similar. It will be judged by comparing the data, therefore it will be possible to detect the change in the power generation data due to the abnormality of the solar cell without being affected by the change in the surrounding conditions such as the change in the amount of solar radiation due to the weather. .

【0009】[0009]

【実施例】以下、図面によって本発明の実施例につい
て、詳細に説明する。
Embodiments of the present invention will now be described in detail with reference to the drawings.

【0010】図1は、本発明の一実施例の太陽電池異常
検出装置を備えたシステムの概略構成図であり、この実
施例では、太陽光発電による分散型電源と商用電源と系
統連系するシステムに適用して説明する。
FIG. 1 is a schematic configuration diagram of a system including a solar cell abnormality detecting device according to an embodiment of the present invention. In this embodiment, a distributed power source by solar power generation and a commercial power source are system-interconnected. It will be explained by applying it to the system.

【0011】同図において、1は商用電源の電力系統で
あり、発電所の主電源2と、この発電所2からの電力を
降圧して配電する変電所3と、配電線4に設けられた遮
断器5と、供給された電力を降圧して各家庭に供給する
柱上変圧器6とを備えている。
In FIG. 1, reference numeral 1 denotes a power system of a commercial power source, which is provided in a main power source 2 of a power station, a substation 3 for stepping down the power from the power station 2 and distributing the power, and a distribution line 4. The circuit breaker 5 and the pole transformer 6 for stepping down the supplied power and supplying it to each home are provided.

【0012】7は、各家庭に設置された分散型電源であ
り、この分散型電源7は、太陽電池8と、この太陽電池
8から出力される直流電力を交流電力に変換するインバ
ータ9とを備えている。10は、何等かの事故が生じた
ときに、商用電源の電力系統1から分散型電源7を切り
離す保護装置であり、13は家庭内負荷である。
Reference numeral 7 denotes a distributed power source installed in each home. The distributed power source 7 includes a solar cell 8 and an inverter 9 for converting DC power output from the solar cell 8 into AC power. I have it. Reference numeral 10 is a protection device that disconnects the distributed power supply 7 from the power system 1 of the commercial power supply when some accident occurs, and 13 is a domestic load.

【0013】かかるシステムにおいては、太陽電池8か
ら直流電力が出力されると、インバータ9によって所定
周波数の交流電力に変換されてその交流電力が家庭内負
荷13に供給され、この交流電力で賄えない電力が、商
用電源の電力系統1から供給される。
In such a system, when DC power is output from the solar cell 8, it is converted into AC power of a predetermined frequency by the inverter 9 and the AC power is supplied to the domestic load 13, which can be covered by this AC power. The non-existing power is supplied from the power grid 1 of the commercial power supply.

【0014】14は、本発明にかかる太陽電池異常検出
装置であり、この異常検出装置14は、太陽電池8の発
電量を計測して異常の有無を判定し、異常であると判定
したときには、その旨の表示を行うものである。
Reference numeral 14 denotes a solar cell abnormality detecting device according to the present invention. The abnormality detecting device 14 measures the amount of power generation of the solar cell 8 to determine whether there is an abnormality, and when it determines that there is an abnormality, A message to that effect is displayed.

【0015】この実施例の異常検出装置14は、一日毎
の太陽電池8の発電量を計測して発電量の変化を示す発
電パターンおよびピーク発電量を、その日の天候、温度
あるいは日照時間などの状況を示す状況データととも
に、記憶しておき、新たに一日の発電パターンおよびピ
ーク発電量が得られると、その日の状況に類似した状況
で計測されて既に記憶されている発電パターンおよびピ
ーク発電量を読み出して比較し、発電パターンおよびピ
ーク発電量が明らかに低下しているときには、異常であ
ると判定して表示を行うものである。
The abnormality detecting device 14 of this embodiment measures the power generation amount of the solar cell 8 every day and shows the power generation pattern and the peak power generation amount showing the change of the power generation amount, such as the weather, temperature or sunshine duration of the day. When the power generation pattern and peak power generation amount for a day are newly stored together with the status data indicating the status, the power generation pattern and peak power generation amount that have been measured and stored in a situation similar to the condition of the day are already stored. Is read out and compared, and when the power generation pattern and the peak power generation amount are clearly reduced, it is judged to be abnormal and displayed.

【0016】図2は、この太陽電池異常検出装置14の
ブロック図である。
FIG. 2 is a block diagram of the solar cell abnormality detecting device 14.

【0017】同図において、15は太陽電池8の発電量
を計測する発電量計測部、16は温度センサや日照セン
サなどの天候状態センサ、17は日付を計数するカウン
タ、18はこれらの出力に基づいて格納すべきデータを
作成するデータ作成部、19はデータ作成部18で作成
されたデータが記憶される記憶手段としてのメモリ、2
0はカウンタ17からの出力に基づいて、一日毎にメモ
リ19へのデータの書き込みあるいは読み出しを制御す
るメモリ制御部、21は計測された状況が類似している
一日のデータをメモリ19から読み出す類似データ読み
出し部、22は最新の一日のデータと類似の状況で計測
された以前の一日のデータとを比較して太陽電池8の異
常の有無を判定する判定部、23は異常であると判定さ
れたときに、その旨を表示する表示部である。
In the figure, reference numeral 15 is a power generation amount measuring section for measuring the power generation amount of the solar cell 8, 16 is a weather condition sensor such as a temperature sensor or a sunshine sensor, 17 is a counter for counting the date, and 18 is an output of these. A data creating section for creating data to be stored based on 19 is a memory as a storage means for storing the data created by the data creating section 18, 2
0 is a memory control unit that controls writing or reading of data to or from the memory 19 on a daily basis based on the output from the counter 17, and 21 is a unit of reading data of the day in which measured conditions are similar. The similar data reading unit, 22 is a judging unit for comparing the latest day's data with the previous day's data measured in a similar situation to judge whether or not there is an abnormality in the solar cell 8, and 23 is an abnormality. When it is determined that it is, it is a display unit that displays that effect.

【0018】データ作成部18には、太陽電池8が正常
である場合に、天候に応じてどのような発電パターンに
なるかが、予め格納されている。すなわち、太陽電池8
の一日の発電量は、その天候に応じて、例えば、晴天時
では、図3(A)に示されるように変化し、曇天時に
は、図3(B)に示されるように変化する。このように
太陽電池8では、天候に応じて発電パターンが相違する
ので、データ作成部18では、予め記憶されている複数
種類の天候に応じた発電パターンと、一日毎に計測され
る発電パターンとを比較することにより、その計測日の
天候を判定する。
The data creating section 18 stores in advance what kind of power generation pattern the solar cell 8 will have in accordance with the weather when the solar cell 8 is normal. That is, the solar cell 8
The amount of power generation in one day changes depending on the weather, for example, as shown in FIG. 3 (A) in fine weather and as shown in FIG. 3 (B) in cloudy weather. As described above, in the solar cell 8, since the power generation pattern differs depending on the weather, the data creation unit 18 stores the power generation patterns according to the plurality of types of weather stored in advance and the power generation pattern measured every day. The weather of the measurement day is determined by comparing

【0019】このデータ作成部18では、計測された発
電パターン、ピーク発電量、天候状態センサ16からの
温度および日照時間並びにカウンタ17からの計測日の
日付(年月日)のデータを、上述のようにして判定され
たその計測日の天候を示す天候データとともにメモリ1
9に格納すべきデータとして作成する。
In the data creating section 18, the data of the measured power generation pattern, peak power generation amount, temperature and sunshine duration from the weather condition sensor 16 and date (year / month / day) of the measurement date from the counter 17 are obtained as described above. Memory 1 together with the weather data indicating the weather of the measurement day determined in this way
Created as data to be stored in 9.

【0020】メモリ制御部20は、一日毎に、データ作
成部18で作成されたデータ、すなわち、発電パター
ン、ピーク発電量、温度、日照時間、日付および天候か
らなるデータを、メモリ19に格納し、また、最新の一
日のデータを読み出して判定部22に与える。
The memory control unit 20 stores the data created by the data creating unit 18, that is, the data including the power generation pattern, the peak power generation amount, the temperature, the sunshine duration, the date, and the weather, in the memory 19 every day. Also, the latest data of the day is read and given to the determination unit 22.

【0021】類似データ読み出し部21は、前記最新の
一日に、天候、温度および日照時間が類似した日に計測
されてメモリ19に既に格納されている類似した一日の
データを読み出して判定部22に与える。この実施例で
は、後述のように、最新の一日の前十日間の内で最も類
似した日のデータを読み出し、異常でないと判定部22
で判定部されたときには、さらに、最新の一日の一年前
の前後二十日間の内で最も類似した日のデータを読み出
すようにしている。
The similar data reading section 21 reads the similar day data already stored in the memory 19 when the weather, temperature and sunshine time are measured on a similar day on the latest day, and the similar data reading section 21 judges. Give to 22. In this embodiment, as will be described later, the data of the most similar day within the last 10 days of the latest day is read, and it is determined that there is no abnormality.
Further, when the determination section is executed, the data of the most similar day within the 20 days before and after the latest one year before is read out.

【0022】判定部22は、最新の一日のデータと、そ
れに状況が類似している一日のデータとを比較し、発電
パターンおよびピーク発電量が、明らかに低下している
ときには、異常と判定し、判定出力を表示部23に与え
るようにしており、この判定は、新たなデータが得られ
る度に、毎日行われる。
The judging section 22 compares the latest data of the day with the data of the day in which the situation is similar, and when the power generation pattern and the peak power generation amount are clearly decreased, it is judged as abnormal. The determination is made and the determination output is given to the display unit 23, and this determination is made every time new data is obtained.

【0023】図4は、以上の構成を有する太陽電池異常
検出装置の動作説明に供するフローチャートである。
FIG. 4 is a flow chart for explaining the operation of the solar cell abnormality detecting device having the above configuration.

【0024】先ず、X年Y月Z日(例えば、平成5年1
0月18日)に計測されたデータと、X年Y月Z−10
日(平成5年10月8日)〜X年Y月Z−1日(平成5
年10月17日)の内の計測の状況の似通った日のデー
タとを比較して明らかに発電量が低下しているか否かを
判断し(ステップn1)、明らかに低下していると判断
したときには、この数日内に太陽電池に何等かの異常が
生じたと判定してその旨の表示を行う(ステップn
4)。
First, the Y, Z, X year (for example, 1
Data measured on January 18th)
Date (October 8, 1993) to Year X, Year X Z-1 (Heisei 5
(October 17, 2016) and compare it with the data on the day when the measurement situation was similar (step n1), and judge that the power generation amount has clearly decreased. If so, it is determined that some abnormality has occurred in the solar cell within the past few days, and a message to that effect is displayed (step n).
4).

【0025】ステップn1において、発電量が低下して
いないと判断したときには、X年Y月Z日(平成5年1
0月18日)に計測されたデータと、X−1年Y月Z−
10日(平成4年10月8日)〜X−1年Y月Z+10
日(平成4年10月28日)の内の計測の状況の似通っ
た日のデータとを比較して明らかに発電量が低下してい
るか否かを判断し(ステップn2)、明らかに低下して
いると判断したときには、太陽電池の劣化によって1年
前に比べて発電量が低下していると判定してその旨の表
示を行う(ステップn5)。
When it is determined in step n1 that the amount of power generation has not decreased, Y, Y, Z year X
Data measured on (October 18th) and Y-1 / X-Y year X-1
From 10th (October 8th, 1992) to X-1 year Y month Z + 10
Day (October 28, 1992) by comparing with the data of the day when the measurement situation is similar, it is judged whether or not the power generation amount is obviously decreased (step n2), and it is obviously decreased. If it is determined that the power generation amount is lower than that of one year ago due to deterioration of the solar cell, a message to that effect is displayed (step n5).

【0026】ステップn2において、発電量が低下しな
いと判断したときには、太陽電池は正常であると判定し
て終了する。
When it is determined in step n2 that the power generation amount does not decrease, it is determined that the solar cell is normal, and the process ends.

【0027】以上の処理を、1日のデータが得られる度
に行っている。
The above processing is carried out each time data for one day is obtained.

【0028】このように、一日毎に計測した発電量デー
タとその計測した状況、例えば、天候、温度、日照時間
などを示す状況データとをメモリ19に格納するととも
に、新たに計測された発電量データと、その発電量デー
タを計測した状況に類似した状況で計測されて既にメモ
リ19に格納されている以前の一日の発電量データとを
比較して異常の有無を判定している、すなわち、天候、
温度あるいは日照時間といった状況が類似したときに計
測された発電量データ同士を比較して太陽電池の異常の
有無を判定するので、天候、温度あるいは日照時間とい
った状況の変化の影響を受けることなく、太陽電池の経
年劣化、故障あるいは屋外に配置される太陽電池の電池
表面への物(落ち葉や鳥の糞)の付着といった異常を確
実に検出できることになる。
As described above, the power generation amount data measured every day and the measured conditions, for example, the condition data indicating the weather, temperature, sunshine duration, etc. are stored in the memory 19, and the newly measured power generation amount is also stored. Whether or not there is an abnormality is determined by comparing the data with the power generation amount data of the previous day, which is measured in a situation similar to that of the power generation amount data and is already stored in the memory 19. ,the weather,
Since the presence or absence of abnormality of the solar cell is determined by comparing the power generation amount data measured when the conditions such as temperature or sunshine time are similar, without being affected by changes in conditions such as weather, temperature or sunshine time, It is possible to reliably detect abnormalities such as aging deterioration of the solar cell, failure, or adhesion of an object (fallen leaves or bird droppings) to the surface of the solar cell arranged outdoors.

【0029】上述の実施例では、一日を単位として太陽
電池の異常の有無を判定するように構成したけれども、
本発明は、必ずしも一日単位でなくてもよく、例えば、
一週間単位でデータを平均化して判定するようにしても
よい。
In the above-described embodiment, the presence or absence of abnormality of the solar cell is determined on a day-by-day basis.
The present invention need not necessarily be on a daily basis, for example,
The data may be averaged on a weekly basis for determination.

【0030】上述の実施例では、太陽電池の異常検出装
置を、保護装置あるいはインバータとは別に設けたけれ
ども、本発明の他の実施例として、保護装置あるいはイ
ンバータに一体に設けてもよい。
In the above embodiment, the abnormality detecting device for the solar cell is provided separately from the protection device or the inverter, but as another embodiment of the present invention, it may be provided integrally with the protection device or the inverter.

【0031】上述の実施例では、分散型電源と商用電源
との系統連系システムに適用して説明したけれども、本
発明は、かかるシステムに限られることなく、他の太陽
光発電にも適用できるのは勿論である。
Although the above embodiments have been described by applying to the system interconnection system of the distributed power source and the commercial power source, the present invention is not limited to such a system and can be applied to other solar power generations. Of course.

【0032】[0032]

【発明の効果】以上のように本発明によれば、計測した
太陽電池の発電量データとその計測した状況、例えば、
天候などを示す状況データとを順次記憶手段に格納する
とともに、新たに計測した発電量データと、その発電量
データを計測した状況に対応した状況で計測されて既に
記憶手段に格納されている発電量データとを比較して太
陽電池の異常の有無を判定しているので、類似した状況
で計測された発電量データ同士を比較して判定すること
になり、したがって、天候や温度といった状況の変化の
影響を受けることなく、太陽電池の異常を確実に判定す
ることが可能になる。
As described above, according to the present invention, the measured power generation data of the solar cell and the measured condition, for example,
The situation data indicating the weather and the like are sequentially stored in the storage means, and the newly measured power generation amount data and the power generation which is measured in the situation corresponding to the situation in which the power generation amount data is measured and is already stored in the storage means Since it determines whether or not there is an abnormality in the solar cell by comparing it with the amount data, it will be determined by comparing the power generation amount data measured under similar conditions, and therefore changes in conditions such as weather and temperature. It is possible to reliably determine the abnormality of the solar cell without being affected by.

【図面の簡単な説明】[Brief description of drawings]

【図1】本発明の一実施例を適用したシステムの概略構
成図である。
FIG. 1 is a schematic configuration diagram of a system to which an embodiment of the present invention is applied.

【図2】図1の実施例の機能ブロック図である。FIG. 2 is a functional block diagram of the embodiment shown in FIG.

【図3】天候による発電パターンの相違を示す図であ
る。
FIG. 3 is a diagram showing a difference in power generation pattern due to weather.

【図4】動作説明に供するフローチャートである。FIG. 4 is a flowchart for explaining the operation.

【符号の説明】[Explanation of symbols]

8 太陽電池 14 太陽電池の異常検出装置 19 メモリ 22 判定部 8 Solar Cell 14 Solar Cell Abnormality Detection Device 19 Memory 22 Judgment Section

Claims (3)

【特許請求の範囲】[Claims] 【請求項1】一定期間単位で順次計測される太陽電池の
発電量データが、その計測される一定期間毎の状況を示
す状況データと共に順次記憶される記憶手段と、 計測された一定期間の太陽電池の発電量データと、この
発電量データが計測された状況に対応した状況で計測さ
れて前記記憶手段に既に記憶されている発電量データと
を、比較して太陽電池の異常の有無を判定する判定手段
と、 を備えることを特徴とする太陽電池の異常検出装置。
1. A storage unit for sequentially storing power generation amount data of a solar cell, which is sequentially measured in a unit of a fixed period, together with status data indicating a status of the measured fixed period, and a measured solar of a fixed period. It is determined whether or not there is an abnormality in the solar cell by comparing the power generation amount data of the battery and the power generation amount data measured in a situation corresponding to the situation in which the power generation amount data is measured and already stored in the storage means. An abnormality detecting device for a solar cell, comprising:
【請求項2】前記一定期間が一日であり、前記発電量デ
ータがピーク発電量であり、前記状況データが天候デー
タを含むものである前記請求項第1項に記載の太陽電池
の異常検出装置。
2. The abnormality detecting device for a solar cell according to claim 1, wherein the fixed period is one day, the power generation amount data is a peak power generation amount, and the situation data includes weather data.
【請求項3】前記一定期間が一日であり、前記発電量デ
ータが一日の発電量の変化を示す発電パターンであり、
前記状況データが天候データを含むものである前記請求
項第1項に記載の太陽電池の異常検出装置。
3. The fixed period is one day, and the power generation amount data is a power generation pattern showing a change in the power generation amount of one day.
The abnormality detecting device for a solar cell according to claim 1, wherein the situation data includes weather data.
JP5264736A 1993-10-22 1993-10-22 Abnormality detector for solar cell Pending JPH07123594A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP5264736A JPH07123594A (en) 1993-10-22 1993-10-22 Abnormality detector for solar cell

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP5264736A JPH07123594A (en) 1993-10-22 1993-10-22 Abnormality detector for solar cell

Publications (1)

Publication Number Publication Date
JPH07123594A true JPH07123594A (en) 1995-05-12

Family

ID=17407461

Family Applications (1)

Application Number Title Priority Date Filing Date
JP5264736A Pending JPH07123594A (en) 1993-10-22 1993-10-22 Abnormality detector for solar cell

Country Status (1)

Country Link
JP (1) JPH07123594A (en)

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002101554A (en) * 2000-09-21 2002-04-05 Sharp Corp Solar energy generation control system, solar energy generation control server used therein, solar energy generation device, solar energy generation control method and machine readable record medium recorded with program to achieve the same method
JP2003259551A (en) * 2002-03-01 2003-09-12 Sharp Corp Server, system and method for photovoltaic power generation control, and machine readable recording medium for recording program for realizing the method
JP2007173657A (en) * 2005-12-26 2007-07-05 Mitsubishi Electric Corp Photovoltatic power generation volume forecasting apparatus
WO2011101916A1 (en) 2010-02-19 2011-08-25 オーナンバ株式会社 Method for detecting failure of photovoltaic power system
JP2012055090A (en) * 2010-09-01 2012-03-15 Ntt Facilities Inc Solar energy generation diagnostic system
JP2012054401A (en) * 2010-09-01 2012-03-15 Ntt Facilities Inc Solar energy generation diagnostic system
JP2012114108A (en) * 2010-11-19 2012-06-14 Ntt Facilities Inc Photovoltaic power generation diagnostic device
JP2013258796A (en) * 2012-06-11 2013-12-26 Toyota Motor Corp Deterioration diagnostic device of power generation system utilizing natural energy
JP2014132823A (en) * 2009-11-06 2014-07-17 Panasonic Corp Power distribution system
JP2015198535A (en) * 2014-04-02 2015-11-09 三菱電機株式会社 Photovoltaic power generation system, terminal, analysis processing method, and program
WO2019187523A1 (en) * 2018-03-27 2019-10-03 住友電気工業株式会社 Determination device, weather information processing device, determination method and weather information processing method
JP2019170100A (en) * 2018-03-23 2019-10-03 積水化学工業株式会社 Appliance management system
JP2023018970A (en) * 2021-07-28 2023-02-09 艾思特能源股▲分▼有限公司 Contamination evaluation method for photovoltaic power plant

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002101554A (en) * 2000-09-21 2002-04-05 Sharp Corp Solar energy generation control system, solar energy generation control server used therein, solar energy generation device, solar energy generation control method and machine readable record medium recorded with program to achieve the same method
JP2003259551A (en) * 2002-03-01 2003-09-12 Sharp Corp Server, system and method for photovoltaic power generation control, and machine readable recording medium for recording program for realizing the method
JP2007173657A (en) * 2005-12-26 2007-07-05 Mitsubishi Electric Corp Photovoltatic power generation volume forecasting apparatus
JP2014132823A (en) * 2009-11-06 2014-07-17 Panasonic Corp Power distribution system
WO2011101916A1 (en) 2010-02-19 2011-08-25 オーナンバ株式会社 Method for detecting failure of photovoltaic power system
US8482309B2 (en) 2010-02-19 2013-07-09 Onamba Co., Ltd. Failure detecting method for a solar power generation system
JP2012054401A (en) * 2010-09-01 2012-03-15 Ntt Facilities Inc Solar energy generation diagnostic system
JP2012055090A (en) * 2010-09-01 2012-03-15 Ntt Facilities Inc Solar energy generation diagnostic system
JP2012114108A (en) * 2010-11-19 2012-06-14 Ntt Facilities Inc Photovoltaic power generation diagnostic device
JP2013258796A (en) * 2012-06-11 2013-12-26 Toyota Motor Corp Deterioration diagnostic device of power generation system utilizing natural energy
JP2015198535A (en) * 2014-04-02 2015-11-09 三菱電機株式会社 Photovoltaic power generation system, terminal, analysis processing method, and program
JP2019170100A (en) * 2018-03-23 2019-10-03 積水化学工業株式会社 Appliance management system
WO2019187523A1 (en) * 2018-03-27 2019-10-03 住友電気工業株式会社 Determination device, weather information processing device, determination method and weather information processing method
JPWO2019187523A1 (en) * 2018-03-27 2021-03-25 住友電気工業株式会社 Judgment device, weather information processing device, judgment method and weather information processing method
JP2023018970A (en) * 2021-07-28 2023-02-09 艾思特能源股▲分▼有限公司 Contamination evaluation method for photovoltaic power plant

Similar Documents

Publication Publication Date Title
JPH07123594A (en) Abnormality detector for solar cell
US8290745B2 (en) Systems and methods for identifying faulty sensors within a power generation system
KR101793708B1 (en) Device for detecting unusual situation based on monitoring solar panel
JPH08185235A (en) Linkage type solar light power generating device with abnormality checking function for solar battery module
JP6087200B2 (en) Abnormality detection device for solar power generation system, abnormality detection method, and solar power generation system
JP2005340464A (en) Solar cell array diagnostic system and solar light generating system using thereof
JPH08181343A (en) Method of deterioration prediction of interconnected inverter
JPH07334767A (en) Method and device for abnormality detection and power generation system using the same
JP3896063B2 (en) Abnormality monitoring method, monitoring apparatus and abnormality monitoring system
CN111082749B (en) Photovoltaic string running state identification method, device and storage medium
JP6448946B2 (en) Solar panel abnormality detection system
KR20110101336A (en) Ground fault detection device and method with direct current wire for system of photovoltaic power generation
JP2000214938A (en) Solar battery abnormality warning device
JP6901345B2 (en) Power control system storage battery deterioration diagnosis method
JP2006067738A (en) Photovoltaic power generating system
JPH0864653A (en) Diagnostic system for solar cell
JP2000040838A (en) Abnormality detector for solar power generating facility
JP2002289883A (en) System for diagnosing solar cell panel
JP6833303B1 (en) Power generation forecaster
KR101265573B1 (en) Photovoltaic power generation multifuntion junction box system and the method
KR101647345B1 (en) Apparatus for generating electricity using sunlight with monitoring function
JP6769889B2 (en) Power control system and power control method
JPH0956181A (en) Solar power generating equipment
CN111401689B (en) Determination method, device and equipment for snowfall date of photovoltaic station and storage medium
CN112684403A (en) Fault detection method of intelligent electric meter based on data detection