Web-Based Data Acquisition System of Wind Conditions and its Application to Power Output Variation Analysis for Wind Turbine Generation

This paper presents a Web-based data acquisition system of wind conditions via the Internet, and its application to power output variation analysis for wind turbine generation. Wind energy is promising renewable energy, and is globally increasing. However, with the increase of wind power integration to power grid, the wind power generation is having a great influence on power system operation due to such issues as frequency and voltage variations. It is important to reserve generation capacity to suppress these variations and to schedule its operation. For this purpose, the authors have developed a Web-based data acquisition system of wind conditions via the Internet. The Web-based data acquisition system is automatically able to gather wind climate data measured at lighthouses operated by The Maritime Safety Agency of JAPAN. Based on the observed data, a short term prediction, for example a few hours ahead, of wind speed was constructed using neural network. Using this system, the authors could predict the wind power variations at each site, at simultaneous times and conclude that this work would be possible to forecast reservation power to suppress the wind power variations