scholarly journals LVRT Enhancement of a Grid-tied PMSG-based Wind Farm using Static VAR Compensator

2021 ◽  
Vol 11 (3) ◽  
pp. 7146-7151
Author(s):  
S. A. Dayo ◽  
S. H. Memon ◽  
M. A. Uqaili ◽  
Z. A. Memon
Keyword(s):  
Power Quality ◽  
Control Strategy ◽  
Wind Farm ◽  
Low Voltage ◽  
Synchronous Generator ◽  
Reliable Operation ◽  
Wind Energy Conversion ◽  
Low Voltage Ride Through ◽  
Control Scheme ◽  
Energy Conversion System

This paper presents an efficient Low Voltage Ride Through (LVRT) control scheme for a 10.0MW grid-tied Permanent Magnet Synchronous Generator (PMSG)-based wind farm. The proposed control strategy plans to enhance the power quality and amount of injected power to satisfy the grid code requirements. The proposed approach utilizes a static Shunt Var Compensator (SVC) to enhance the LVRT capability and to improve power quality. It has been observed from the outcomes of the study that the proposed SVC controller ensures safe and reliable operation of the considered PMSG-based power system. The proposed system not only improves power quality but also it provides voltage stability of the Wind Energy Conversion System (WECS) under abnormal/fault conditions. The results show the superiority of the proposed control strategy.

Enhancement of low-voltage ride-through capability of permanent magnet synchronous generator wind turbine by applying state-estimation technique

2020 ◽  
Vol 39 (2) ◽  
pp. 363-377
Author(s):  
Sayyed Ali Akbar Shahriari ◽  
Mohammad Mohammadi ◽  
Mahdi Raoofat
Keyword(s):  
Wind Turbine ◽  
State Estimation ◽  
Low Voltage ◽  
Synchronous Generator ◽  
Estimation Algorithm ◽  
Voltage Measurement ◽  
Content Type ◽  
Low Voltage Ride Through ◽  
Speed Sensor ◽  
Control Scheme

Purpose The purpose of this study is to propose a control scheme based on state estimation algorithm to improve zero or low-voltage ride-through capability of permanent magnet synchronous generator (PMSG) wind turbine. Design/methodology/approach Based on the updated grid codes, during and after faults, it is necessary to ensure wind energy generation in the network. PMSG is a type of wind energy technology that is growing rapidly in the network. The control scheme based on extended Kalman filter (EKF) is proposed to improve the low voltage ride-through (LVRT) capability of the PMSG. In the control scheme, because the state estimation algorithm is applied, the requirement of DC link voltage measurement device and generator speed sensor is removed. Furthermore, by applying this technique, the extent of possible noise on measurement tools is reduced. Findings In the proposed control scheme, zero or low-voltage ride-through capability of PMSG is enhanced. Furthermore, the requirement of DC link voltage measurement device and generator speed sensor is removed and the amount of possible noise on the measurement tools is minimized. To evaluate the ability of the proposed method, four different cases, including short and long duration short circuit fault close to PMSG in the presence and absence of measurement noise are studied. The results confirm the superiority of the proposed method. Originality/value This study introduces EKF to enhance LVRT capability of a PMSG wind turbine.

scholarly journals Optimal Transient Search Algorithm-Based PI Controllers for Enhancing Low Voltage Ride-Through Ability of Grid-Linked PMSG-Based Wind Turbine

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1807
Author(s):  
Mohammed H. Qais ◽  
Hany M. Hasanien ◽  
Saad Alghuwainem
Keyword(s):  
Wind Turbine ◽  
Low Voltage ◽  
Search Algorithm ◽  
Fitness Function ◽  
Synchronous Generator ◽  
Pi Control ◽  
Low Voltage Ride Through ◽  
Control Scheme ◽  
Pi Controllers ◽  
Grid Side

This paper depicts a new attempt to apply a novel transient search optimization (TSO) algorithm to optimally design the proportional-integral (PI) controllers. Optimal PI controllers are utilized in all converters of a grid-linked permanent magnet synchronous generator (PMSG) powered by a variable-speed wind turbine. The converters of such wind energy systems contain a generator-side converter (GSC) and a grid-side inverter (GSI). Both of these converters are optimally controlled by the proposed TSO-based PI controllers using a vector control scheme. The GSC is responsible for regulating the maximum power point, the reactive generator power, and the generator currents. In addition, the GSI is essentially controlled to control the point of common coupling (PCC) voltage, DC link voltage, and the grid currents. The TSO is applied to minimize the fitness function, which has the sum of these variables’ squared error. The optimization problem’s constraints include the range of the proportional and integral gains of the PI controllers. All the simulation studies, including the TSO code, are implemented using PSCAD software. This represents a salient and new contribution of this study, where the TSO is coded using Fortran language within PSCAD software. The TSO-PI control scheme’s effectiveness is compared with that achieved by using a recent grey wolf optimization (GWO) algorithm–PI control scheme. The validity of the proposed TSO–PI controllers is tested under several network disturbances, such as subjecting the system to balanced and unbalanced faults. With the optimal TSO–PI controller, the low voltage ride-through ability of the grid-linked PMSG can be further improved.

scholarly journals Low-voltage ride-through capability enhancement of wind energy conversion system using an ant-lion recurrent neural network controller

2019 ◽  
Vol 52 (7-8) ◽  
pp. 1048-1062 ◽  
Author(s):  
Velappagari Sekhar ◽  
K Ravi
Keyword(s):  
Neural Network ◽  
Wind Energy ◽  
Recurrent Neural Network ◽  
Low Voltage ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Low Voltage Ride Through ◽  
Ant Lion Optimizer ◽  
Ant Lion ◽  
Energy Conversion System

This paper proposes a hybrid controller to improve the low-voltage ride-through ability of the grid-connected wind energy conversion system. The hybrid controller is the joined execution of the ant-lion optimizer with the recurrent neural network called the ant-lion recurrent neural network. At voltage drop and fault conditions, the proposed control technique guarantees the low-voltage ride-through ability of the wind energy conversion system. The ant-lion optimizer in the perspective of objective function approach will be utilized in the offline manner to distinguish the optimal solutions from the accessible looking space and it makes the training dataset. Identifying the low-voltage ride-through ability, the ant-lion optimizer method considers voltage, current, and real and reactive power. Using these parameters, the objective function of the ant-lion optimizer strategy is described and explained. The recurrent neural network predicts the best possible control signals of grid-side and generator-side converters in light of the achieved dataset. The proposed method is utilized for system regulation and instability problem of voltage amid the fault conditions. In this way, the system’s low-voltage ride-through capability is upgraded and besides, the many-sided quality is diminished with the help of the proposed strategy. By applying the comparative investigation with the existing approaches, the proposed control procedure is actualized in the MATLAB/Simulink working stage and the performances are assessed.

Improvement of Wind Farm with PMSG using STATCOM

2016 ◽  
Vol 7 (3) ◽  
pp. 996
Author(s):  
Mutharasan A ◽  
Chandrasekar P
Keyword(s):  
Wind Farm ◽  
Dynamic Behaviour ◽  
Dynamic Performance ◽  
Synchronous Generator ◽  
Static Synchronous Compensator ◽  
Permanent Magnet Synchronous Generator ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Energy Conversion System ◽  
Wind Farm Integration

<p>This paper studies about the dynamic performance of the Permanent Magnet Synchronous Generator with Static Synchronous Compensator (STATCOM) for Wind farm integration. A whole dynamic model of wind energy conversion system (WECS) with PMSG and STATCOM are established in a MATLAB environment. With this model the dynamic behaviour of the generator and the overall system has been studied to determine the performance of them with and without STATCOM. Final results portrays that the WECS based PMSG with STATCOM improves the transient response of the wind farm when the system is in fault.<strong></strong></p>

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