Solar Power Plant Wireless Monitoring Sensor Network

• Main Authors: Kuan-Ying Chen, 陳冠穎
• Other Authors: Pi-Chung Wang
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/97437029392141981427

碩士 === 國立中興大學 === 資訊科學與工程學系 === 104 === A solar (photovoltaic) power system uses the electric potential difference to gen-erate power. As sunshine falls on the solar panels, positive and negative charges are generated, separated, and cumulated, and generate electricity through charge carriers. Therefore, the duration of sunshine, whether being affected by shadow, the rise of temperature due to the exposure to the sun, quality of wire, or loose or defective con-tact may affect the efficiency of solar power systems and cause abnormal conditions. This thesis focuses on the solar power plants using Arduino platform with WiFi modules and related electric devices, without affecting the existing solar power sys-tems, with low cost and easy installation, to improve the current monitoring methods and develop a wireless sensor monitoring network suitable for solar power plants from far away. Proven by the results of a series of experiments, this Arduino platform success-fully and precisely finds out which string of panels is malfunctional through dichoto-my analysis of strings of panels, which is based on the power generation data Arduino sensors get from individual solar panels, and promptly transfers data to a professional IoT (Internet of Things) website to produce charts. In addition, this thesis also discusses about how to analyze more than two strings of panels as well as how to diagnose the abnormal conditions of more than two strings of panels at the same time, so that engineers can promptly repair or provide mainte-nance to ensure the stability of power systems and reduce the power loss.