作者: Alireza Fakharzadeh J , Fatemeh Jamshidi , Leila Talebnezhad
关键词: Linear-quadratic regulator 、 Wind power 、 Energy accounting 、 Economics 、 State variable 、 Turbine 、 Operations management 、 Energy transformation 、 Control theory 、 Optimal control 、 Linearization
摘要: As fossil fuels run out, more attention should be paid to renewable energies, among which wind energy is one of the best. Therefore, optimization its energetic efficiency in variable speed turbines an important focus this recent study. Based upon linearization, a trade-off between conversion maximization and minimization damage caused by mechanical fatigue, resulting produced turbine, optimized. Mathematically, objective defined as stochastic criterion, belonging class linear quadratic regulator (LQR) optimal control problems. A law has been obtained using LQR approach, value for α calculated real-value genetic algorithm. The numerical simulations show better method compared other methods used thus far. They also present stability when coefficient applied. results demonstrate that curves state variables output different valves converge zero, shows design controller was fully able reduce effectiveness white noise.