| Summary: | 碩士 === 國立勤益科技大學 === 電機工程系 === 99 === In facing the multiplication of the photovoltaic (PV) modules on market, when in designing the photovoltaic power generation system, except in considering the loading demand and the covering area as will be installed, consumer would have to consider the factors of annual power generated capacity and the cost return etc.; how to select the best solution from the specifications provided by the manufacturer shall be a rather important job. Thus, in the article, we shall propose an assessing method based on the extension theory by utilizing Solar pro, a photovoltaic power generation system analysis software which simulates to obtain the data from the photovoltaic power generation system, then, use extension theory in evaluating the assessment index of each module system as the important reference for consumer in installing the system. Besides, in order to shorten the maintenance time and make sure the photovoltaic power generation system steadily in operation, a fault diagnostic system for photovoltaic power generation system was proposed in this article. Building up a 2.2KW photovoltaic power generation system by PSIM simulating software first which records the operating data of photovoltaic power generation system under different sunlight intensity, temperature and various fault that will occur. Through extension theory proposes a 2-level diagnostic system, not only being able to troubleshoot the system fault but also the damaged module can also be located. The primary strategy is to utilize the diagnostic array of daylight identification, and to use light scanning the damage array at night. Via wireless network transmit the data back to the diagnostic system for identifying the location of damaged module. Such the time and energy of manual locating the fault point can be greatly saved. Finally, the methods as proposed in this article have been compared with other existing methods, by which to verify its superiority and usability.
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