Design of WECS using HSA with fuzzy controller

Wind turbines form complex nonlinear mechanical systems exposed to uncontrolled wind profiles. This makes turbine controller design a challenging task. As such, control of wind energy conversion systems (WECS) is difficult due to the lack of systematic methods to identify requisite robust and sufficiently stable conditions, to guarantee performance. The problem becomes more complex when plant parameters become uncertain. This paper considers the wind energy curtailment for which it provides a combinatorial planning model to maximize wind power utilization. The major objective of this study is to develop an effective method for optimizing size of wind. A novel multiobjective adaptation of the fuzzy based Harmony Search algorithm is proposed and tested for efficiently solving the problem of optimally deploying wind turbines in wind farms. In this paper, Harmony Search Algorithm (HSA) using fuzzy controller to achieve better optimization results and to increase performance. A general formulation of this algorithm is presented together with an analytical and mathematical modeling to solve the stability and performance of the system.