Fault-Tolerant Solar Array Control Using Digital Signal Processing for Peak Power Tracking

Abstract

The described power system significantly improves energy conversion efficiency under Low Intensity, Low Temperature (LILT) conditions. Elements of the described DSP-based system apply directly to terrestrial solar power processing needs. Use of this system will enable increased efficiency of solar power processing in many applications that demand low power under adverse insolation conditions. Examples are portable solar-recharged communications systems, solar-powered remote telemetry stations, autonomous geological and seismological monitoring stations, portable remote field equipment, remote sight imgation and area lighting.The feasibility of this system was evaluated by extensive computer simulation and an engineering demonstration model was designed and fabricated to verify the concept. 0-7803-3547-3-711 6 $4.00 0 1996 IEEE

Monitoring, Diagnosis, and Power Forecasting for Photovoltaic Fields: A Review

“…One active research area is on the use of artificial intelligence and data mining, which are primarily based on the concept of a knowledge database. These methods can be split into three categories [60][61][62][63][64][65]: signal processing methods, classification methods, and inference methods. The main idea of signal processing methods is to extract some features of the measured signals, which can be attributed to a particular state of health of the PV system.…”