Abstract: Since 2009, the Legislative Yuan has passed the Renewable Energy Development (RED) Act,
and the government began to encourage the photovoltaic (PV) system installers and the public to
install renewable energy equipment. The purposes of the RED Act are to reduce the demand of
energy importation, to reach diversification of energy applications, to improve the quality of the environment, to promote industrial upgrading, and to encourage sustainable development in Taiwan. Among many renewable energy sources, the use of PV systems is easy to be promoted to the general public. In 2012, the Ministry of Economic Affairs initiated the "one million sunshine roofs" project which aimed at establishing a sound environment for PV system installation and further promoting PV system applications. The most important source of PV systems is the sun. Generally, the annual PV harvested energy increases when the latitude decreases from the northern to the southern Taiwan, so the annual electricity production varies with the latitude and the weather conditions. In order to increase the annual harvested energy under limited budgets, two methods are commonly employed by PV installers. One is to enhance the conversion efficiency of PV cells, and the other is to utilize sun-tracking devices. The former will lead to large research and development investment but make little progress. Sun-tracking devices have been widely used in recent years, but theoretical supporting is limited, and reliable products in domestic markets are difficult to find. As mentioned above, the main purpose of this project is to develop a semiconductor p-n junction prediction algorithm that is able to rapidly and accurately evaluate the maximum power points of PV cells. The novel operational method not only is employed in the fixed-type PV system but also could be promoted to cooperate with sun-tracking devices, and the method could generate a 5% increase in the annual energy production of PV systems. In order to further monitor and verify the effectiveness of the proposed method on the annual power production and provide data analysis of PV systems to PV system installers, a communication protocol, a remote monitoring network, and a control platform will be also conducted in this study.
photovoltaic power system
maximum power point tracking
remote monitoring and control network