Modeling Principle and Parameter Identification of Double Fed Wind Turbine for Electromechanical Transient Simulation of Power System

Author(s):  
Jun Tao ◽  
Ming Zhong ◽  
Rulei Han ◽  
Wei Zhang
Author(s):  
Ram Kumar ◽  
Afzal Sikander

Purpose This paper aims to suggest the parameter identification of load frequency controller in power system. Design/methodology/approach The suggested control approach is established using fuzzy logic to design a fractional order load frequency controller. A new suitable control law is developed using fuzzy logic, and based on this developed control law, the unknown parameters of the fractional order proportional integral derivative (FOPID) controller are derived using an optimization technique, which is being used by minimizing the integral square error. In addition, to confirm the effectiveness of the proposed control design approach, numerous simulation tests were carried out on an actual single-area power system. Findings The obtained results reveal the superiority of the suggested controller as compared to the recently developed controllers with regard to time response specifications and quantifiable indicators. Additionally, the potential of the suggested controller is also observed by improving the load disturbance rejections under plant parametric uncertainty. Originality/value To the best of the authors’ knowledge, the work is not published anywhere else.


2018 ◽  
Vol 8 (10) ◽  
pp. 1848 ◽  
Author(s):  
Arman Oshnoei ◽  
Rahmat Khezri ◽  
SM Muyeen ◽  
Frede Blaabjerg

Wind farms can contribute to ancillary services to the power system, by advancing and adopting new control techniques in existing, and also in new, wind turbine generator systems. One of the most important aspects of ancillary service related to wind farms is frequency regulation, which is partitioned into inertial response, primary control, and supplementary control or automatic generation control (AGC). The contribution of wind farms for the first two is well addressed in literature; however, the AGC and its associated controls require more attention. In this paper, in the first step, the contribution of wind farms in supplementary/load frequency control of AGC is overviewed. As second step, a fractional order proportional-integral-differential (FOPID) controller is proposed to control the governor speed of wind turbine to contribute to the AGC. The performance of FOPID controller is compared with classic proportional-integral-differential (PID) controller, to demonstrate the efficacy of the proposed control method in the frequency regulation of a two-area power system. Furthermore, the effect of penetration level of wind farms on the load frequency control is analyzed.


2021 ◽  
Vol 8 ◽  
Author(s):  
Kenneth E. Okedu ◽  
Hind F. A. Barghash

The major aim for achieving the successful synchronization of a wind turbine system to the grid is to mitigate electrical and mechanical stresses on the wind generator. During transient state, the gearbox, shaft, and rotor of the wind generator could be damaged due to mechanical stress. The rotor and stator windings of the wind generator, including its insulation, could be affected. This paper undertakes an extensive analysis of the effects of the excitation parameters of the power converter Insulated Gate Bipolar Transistors (IGBTs), on the transient state performance of the Doubly Fed Induction Generator (DFIG), considering different scenarios. The optimal excitation parameters of IGBTs were used for further analysis of the wind generator, considering a new Phase-Locked-Loop (PLL) scheme. The PLL computes the phase displacement of the grid required to achieve orientation and synchronization control. Consequently, it helps in preventing power system distortion due to stator-grid interphase. This paper proposes a new approach that integrates PLL control strategy and a Series Dynamic Braking Resistor (SDBR) to augment the fault ride through capability of a variable speed wind turbine that is DFIG-based. The SDBR helps the post fault recovery of the wind generator. Simulations were run in Power System Computer Aided Design and Electromagnetic Transient state Including DC (PSCAD/EMTDC) to examine severe fault conditions, and to test the robustness of the controllers employed. The results show that the proposed hybrid control strategy aids the fast recovery of the DFIG wind generator variables during fault conditions.


Author(s):  
Tao Yang ◽  
Lei Tang ◽  
Yanghai Li ◽  
Wei Gao ◽  
Kun Wang ◽  
...  

The dynamic characteristics of the steam turbine speed governor system is one of the major factor that influence the security of the power system. It has important practical significance for the security of the power system to establish the detailed dynamic model of the steam turbine speed governor system through parameter identification. This paper starts from the actual needs of the modeling of steam turbine speed governor system, several key issues such as field test of the speed control system, data preprocessing, parameter identification and simulation verification are researched, the solution of the key problems in the field static test and dynamic disturbance test is summarized, a variety of data preprocessing algorithms and parameter identification algorithms are achieved, and a new method for the simulation verification is proposed. On this basis, software based on MATLAB for the parameter identification of the steam turbine governor system is developed, which can perform the data preprocessing, parameter identification and simulation verification. The software offers a variety of parameter identification method to identify the linear and nonlinear part of the system model quickly and efficiently, and provides detailed qualitative and quantitative method for the evaluation of the simulation verification. The parameter identification results of steam turbine governor system of a power plant show that the software is user friendly and feature rich, and also show that it can complete parameter identification of steam turbine speed governor system intelligently and precisely.


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