Maryam Soleimanzadeh

Wind speed dynamical model in a wind farm

This paper presents a model for wind speed in a wind farm. The basic purpose of the paper is to calculate approximately the wind speed in the vicinity of each wind turbine in a farm. In this regard the governing equations of flow will be solved for the whole wind farm. In ideal circumstances, the dynamic model for wind flow will be established. The state space variables are determined based on a fine mesh defined for the farm. The end goal of this method is to assist the development of a dynamical model of a wind farm that can be engaged for better wind farm control strategies.

Wind deficit model in a wind farm using finite volume method

A wind deficit model for wind farms is developed in this work using finite volume method. The main question addressed here is to calculate approximately the wind speed in the vicinity of each wind turbine of a farm. The procedure followed is to solve the governing equations of flow for the whole wind farm. Spatial discretization is performed on a computational domain, using finite volume techniques. In ideal circumstances, wind speed will calculate on a fine mesh for the whole wind farm, where the effect of wind turbines is observed by means of their thrust coefficient. The end goal of this method is to assist the development of an analytical expression of an offshore wind farm wake. We focus in this work on wind deficit that can be used for better wind farm control strategies and load optimization.

A wind farm controller for load and power optimization in a farm

This paper describes the design procedure of an optimal wind farm controller. The controller optimizes the structural load and power production simultaneously, on the basis of an analytical wind farm model. The farm model delivers maps of wind, loads and energy in the wind farm. Moreover, the model computes the wind speed at the turbines, turbine bending moments and aerodynamic power and torque. The optimal control problem is formulated based on the model for two different wind directions. The controller determines the reference signals for each individual wind turbine controller in two scenarios based on low and high wind speed. In low wind speed, the reference signals for rotor speed are adjusted, taking the trade-off between power maximization and load minimization into account. In high wind speed, the power and pitch angle reference signals are determined while structural loads are minimized.

An optimal control scheme to minimize loads in wind farms

This work presents a control algorithm for wind farms that optimizes the power production of the farm and helps to increase the lifetime of wind turbines components. The control algorithm is a centralized approach, and it determines the power reference signals for individual wind turbines such that the structural loads of the wind turbines in low frequencies are reduced. The controller is relatively easy to implement on a wind farm, and in here the results of simulating the controller on a small wind farm is presented.

An optimization framework for load and power distribution in wind farms: Low wind speed

Abstract In this paper, an optimization approach has been developed for wind farms such that the reference signals for each wind turbine is produced and load reduction on each of them is taken into account. The proposed approach is based on a spatially discrete model of the farm which provides wake information and delivers an approximation of wind speed all over the farm. The farm controller can affect the generated wake of each wind turbine either by changing the pitch angle and power reference or rotor speed reference signals, and this is the motivation for the proposed optimization method for a farm. The problem of determining the reference signals for wind turbine controllers is considered separately for low and high wind speed regions. However, because of the complexity of the high wind speed scenario formulated with this approach, only the problem in low wind speed has been scrutinized. Accordingly, in low wind speed, the reference signals for rotor speed are adjusted, taking the trade-off between power maximization and load minimization into account.