Maximum Power Point Tracking And Hot Spot Detection For Photovoltaic Array Under Partial Shading

With the rapid development of the society, the fossil energy coal,oil and natural gas face to dry.The problem of energy is increasing obviously. Solar energy gets the favor because of its unique advantage. Compared with other energy,solar energy is huge, widely distributed, non polluting, zero cost, the most ideal green renewable energy. Abundant solar energy resources and silicon ore reserves as well as the solar energy and power electronic technology provides good conditions for the development of PV industry in China.At the present, high costs and other factors seriously restrict the development of photovoltaic industry.In the situation of uneven illumination, the local temperature of the photovoltaicis too high,there will be a "hot spot effect". And the PV array output characteristics curve will have more hump, the treatment is using bypass diode or blocking diode near the branch. Doing so can prevent the "thermal breakdown" and protect photovoltaic cells, but really at cost of power generation efficiency of the PV array. And the diode is uncontrollable. The traditional mathematical model and the maximum power point algorithm at this time are no longer applicable. So how to detect “hot spots” effect, and proposes a maximum power point tracking algorithm is the guarantee of new photovoltaic system security and the key to improve the efficiency of photovoltaic power generation.The main research contents of this paper are as follows:①Finding and establishing the simulation model of photovoltaic power generation system, based on a great deal of documents and the composition of photovoltaic system.②Researching the basic principle of MPPT control and the known Maximum power point tracking method to find a method which has good dynamic performance and steady-state performance.③Understanding the principle of Socket programming, to find and establish a stable transmission and storage system of infrared image using VC6.0 development environment.④Finding an image detection method, this method can be used to detect the infrared hot spot location quickly and accurately.