隨著能源結構的改變，以及環保意識的抬升，各國逐漸轉而發展
不同類型再生能源，以取代傳統發電方式如：太陽能發電系統、風力
發電等。其中，因太陽光電製造成本的逐漸降低，以及各國綠色能源
政策的財政補貼等因素，使得運行時無污染、無噪音，模組化且易於
安裝的太陽能發電系統日益普及，且規模日趨龐大。因此，良好的維
運及故障檢測成為太陽能案場高效營運的關鍵，使其能夠確保應有的
發電效益之外，也能避免因故障而導致的設備及生命財產損失。

目前市面上雖已有太陽能模組優化器，可作模組級的發電監測與
故障定位，但其建置成本相當高昂，使其未必能有效推廣應用。有鑑
於此，本研究使用現今逆變器已普遍內建之最大功率追蹤電流監測，
以此應用於太陽能系統之串級故障檢測，並以一個最大功率追蹤器所
連接的太陽能陣列為範圍，檢測包含：(1)開路故障、(2)短路故障、
(3)輕微遮陰等故障類型，而不需另外加購模組優化器或串電流感測
器等，以期達成建置成本與有效檢測故障之經濟平衡點。

With the change of energy structure and the rising awareness of
environmental protection, countries have gradually turned to develop
different types of renewable energy to replace traditional power
generation methods such as solar power generation systems and wind
power generation. Among them, due to the gradual reduction of solar
photovoltaic manufacturing costs and the financial subsidies of green
energy policies in various countries, solar power generation systems that
are pollution-free, noise-free, modular and easy to install during operation
are becoming more popular and growing in scale. Therefore, good
maintenance and fault detection become the key to the efficient operation
of the solar field, so that it can not only ensure the expected power
generation benefits, but also avoid the loss of equipment and life and
property caused by the failure.

Although there are solar module optimizers on the market that can
be used for module-level power generation monitoring and fault location,
their construction costs are quite high, which may not be effective for
popularization and application. In view of this, this study uses the current
monitoring of the maximum power tracking current that is commonly
built in inverters to apply it to the cascade fault detection of solar systems,
and uses the solar array connected to a maximum power tracker as the
scope to detection includes: (1) open-circuit fault, (2) short-circuit fault,
(3) slight shade fault type, without the need to purchase additional
module optimizers or string current sensors, etc., in order to achieve the
construction cost and effective detection the economic balance point of
the failure.

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