A fast and effective control algorithm for maximum power point tracking in wind energy systems”, in the proceedings of the 2008 world wind energy conference

With the increased interest in using environmentally friendly sources of energy, wind energy has become a popular research topic. Although the availability of wind is unpredictable, wind power is capable of supplying hundreds of megawatts of power. As a result, wind energy is considered as a valuable supplemental power source. The main challenge associated with wind energy conversion is the wasted potential wind power due to fluctuating wind conditions. With each change in wind velocity, the system must be corresponding adjusted to its optimum operating point to allow maximum power transfer. This paper presents a new adaptive control algorithm for maximum power point tracking (MPPT) for wind energy systems to minimize the loss of potential power. Under fluctuating wind velocities and air density, the algorithm can capture maximum power by using its estimation process, modified hill climb searching (HCS) method, and its adaptive memory. The algorithm’s flexible and trainable memory allows it to determine the turbine’s natural behaviour so that its optimum point determination process speeds up over time. As th