scholarly journals DA-AFM for Ultra PV and Wind Energy Integration

2021 ◽  
Author(s):  
Wenfeng Wan ◽  
Mikhail Bragin ◽  
Peter Luh ◽  
Peng Zhang
Keyword(s):  
Renewable Energy ◽  
Reactive Power ◽  
Fault Management ◽  
Wind Farms ◽  
Energy Integration ◽  
Is Implementation ◽  
Voltage Drops ◽  
Optimization Formulation ◽  
Wind Energy Integration ◽  
Doubly Fed

This paper presents distributed and asynchronous active fault management (DA-AFM) to manage renewable energy upon faults. Addressed here are two challenges in fault management for photovoltaic (PV) farms and wind farms. The first one is the activation of crowbars in doubly-fed induction generator (DFIG) wind turbine systems during fault ride-though. The activation undesirably makes DFIG-based wind farms lose control and absorb reactive power. The second challenge is implementation of distributed fault management for distinct PV farms with different objectives and constraints. Coordination for large number of PV farms facilitates integration of themselves and other renewable energy. To prevent crowbars from being activated, DA-AFM controls nearby PV farms’ interface converters to smooth voltage drops so that DFIGs experience voltages with a lower dropping speed. To enable distributed computation of DA-AFM's optimization formulation, a distributed and asynchronous surrogate Lagrangian relaxation (DA-SLR) method is devised to coordinate a cluster of PV farms. Simulation results have demonstrated DA-AFM's effectiveness in preventing crowbars' activation in wind farms and in coordinating diverse PV farms.

scholarly journals DA-AFM for Ultra PV and Wind Energy Integration

2021 ◽  
Author(s):  
Wenfeng Wan ◽  
Mikhail Bragin ◽  
Peter Luh ◽  
Peng Zhang
Keyword(s):  
Renewable Energy ◽  
Reactive Power ◽  
Fault Management ◽  
Wind Farms ◽  
Energy Integration ◽  
Is Implementation ◽  
Voltage Drops ◽  
Optimization Formulation ◽  
Wind Energy Integration ◽  
Doubly Fed

This paper presents distributed and asynchronous active fault management (DA-AFM) to manage renewable energy upon faults. Addressed here are two challenges in fault management for photovoltaic (PV) farms and wind farms. The first one is the activation of crowbars in doubly-fed induction generator (DFIG) wind turbine systems during fault ride-though. The activation undesirably makes DFIG-based wind farms lose control and absorb reactive power. The second challenge is implementation of distributed fault management for distinct PV farms with different objectives and constraints. Coordination for large number of PV farms facilitates integration of themselves and other renewable energy. To prevent crowbars from being activated, DA-AFM controls nearby PV farms’ interface converters to smooth voltage drops so that DFIGs experience voltages with a lower dropping speed. To enable distributed computation of DA-AFM's optimization formulation, a distributed and asynchronous surrogate Lagrangian relaxation (DA-SLR) method is devised to coordinate a cluster of PV farms. Simulation results have demonstrated DA-AFM's effectiveness in preventing crowbars' activation in wind farms and in coordinating diverse PV farms.

scholarly journals Doubly fed induction generators to enhance inter-area damping based on a Robust controller: $${{\varvec{H}}}_{2}/{{\varvec{H}}}_{\infty }$$ Control

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Ali Goodarzi ◽  
Ali Mohammad Ranjbar ◽  
Moslem Dehghani ◽  
Mina GhasemiGarpachi ◽  
Mohammad Ghiasi
Keyword(s):  
Working Conditions ◽  
Reactive Power ◽  
Wind Farms ◽  
System Stability ◽  
Pole Placement ◽  
Linear Matrix ◽  
Robust Controller ◽  
Induction Generators ◽  
Doubly Fed ◽  
Oscillation Damping

AbstractIn this study, an auxiliary damping controller based on a robust controller considering the active and reactive power control loops for a doubly-fed induction generator for wind farms is proposed. The presented controller is able to improve the inter-area oscillation damping. In addition, the proposed controller applies only one accessible local signal as the input; however, it can improve the inter-area oscillation damping and, consequently the system stability for the various working conditions and uncertainties. The oscillatory modes of the system are appointed using the linear analysis. Then, the controller’s parameters are determined using the robust control approaches ($${H}_{\infty }/{H}_{2})$$ H ∞ / H 2 ) with the pole placement and linear matrix inequality method. The results of the modal analysis and time-domain simulations confirm that the controller develops the inter-area oscillation damping under the various working conditions and uncertainties.

Simulation and Control of Doubly Fed Induction Generator (DFIG) Used in Wind Turbines by Using Genetic Algorithm

2016 ◽  
Vol 10 (8) ◽  
pp. 1
Author(s):  
Faraz Chamani ◽  
Mohammad Satkin
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Wind Turbines ◽  
Reactive Power ◽  
Wind Farms ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Transient Faults ◽  
Active And Reactive Power ◽  
Doubly Fed

Wind energy is one of the extraordinary sources of renewable energy due to its clean character and free availability. With increase in wind power penetration, the wind farms are directly influencing the power systems. The majority of wind farms are using variable speed wind turbines equipped with doubly fed induction generators (DFIG) due to their advantages over other wind turbine generators (WTGs). Therefore, the analysis of wind power dynamics with the DFIG wind turbines has become a very important research issue, especially during transient faults. In this article, a controller is provided to control the active and reactive power of a wind system equipped with doubly fed induction generator. The generator is connected to the grid by a back to back converter that gets benefit from control system known as single periodic controller. Grid and generator side converters respectively control the generator speed and reactive power using proposed controller. In order to increase the accuracy of controller, we optimized its PI parameters using genetic optimization algorithm. Finally, simulation results conducted by the MATLAB software are shown. The results of simulation gained through this system, show the capability of proposed controller under error conditions for controlling active and reactive power and also elimination of harmonics caused by non-linear load.

A Novel Fuzzy Self-Adaption PI Control Method of the Var Compensation of Wind Generator

2012 ◽  
Vol 608-609 ◽  
pp. 785-789 ◽  
Author(s):  
Xian Ming Zou ◽  
Jun Yang ◽  
Hongyu Zhang ◽  
Yu Zhu
Keyword(s):  
Reactive Power ◽  
Control Method ◽  
Wind Farms ◽  
Normal Operation ◽  
Pi Control ◽  
Doubly Fed Induction Generator ◽  
Wind Generator ◽  
Novel Method ◽  
Doubly Fed ◽  
The Stability

Aiming at the phenomenon that the doubly fed induction generator (DFIG) can supply active power and absorb reactive power in the range of normal operation involves stability and transient, this paper proposes a novel method based on the fuzzy self-adaption PI control to control TCR to compensate the reactive power of wind farms required, and to improve the stability of voltage in wind farms. In this research, the wind generator model of being regarded as reactive load is established in Simulink of MATLAB. The results show that: the voltage and current distortion of the wind generator can be restrained well by using the SVC system proposed in this paper, and the stability of voltage and current in wind farms can be improved effectively.

Study of Reactive Power Compensation for Improvement of Low-Voltage-Ride-Through Capability of Wind Farm

2013 ◽  
Vol 724-725 ◽  
pp. 619-622 ◽  
Author(s):  
Chia Yu Hsu ◽  
Ta Hsiu Tseng ◽  
Pei Hwa Huang
Keyword(s):  
Wind Farm ◽  
Reactive Power ◽  
Low Voltage ◽  
Wind Farms ◽  
Static Synchronous Compensator ◽  
Low Voltage Ride Through ◽  
Induction Generators ◽  
Turbine Generators ◽  
Set Up ◽  
Doubly Fed

The main purpose of this paper is to study the enhancement of the Low-Voltage-Ride-Through (LVRT) capability of the wind farm with the installment of the Static Synchronous Compensator (STATCOM) and the Static Var Compensator (SVC). With more penetration of wind energy from on-shore and off-shore wind farms, utilities have been starting to set up the regulation requiring the wind turbine generators to remain connected to the grid when a fault takes place in the system which is referred to as Low-Voltage-Ride-Through (LVRT). A wind farm composed with doubly fed induction generators is used as the study system. Both the STATCOM and the SVC are utilized as the devices for enhancing the LVRT capability of the wind farm. The results are demonstrated for comparing the performance of the two devices in the improvement of voltage dynamic characteristics of the study system.

scholarly journals Stability check of doubly fed induction generator (DFIG) micro grid power system

2019 ◽  
Vol 8 (2) ◽  
pp. 367-374
Author(s):  
Ameerul A. J. Jeman ◽  
Naeem M. S. Hannoon ◽  
Nabil Hidayat ◽  
Mohamed M. H. Adam ◽  
Ismail Musirin ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Wind Energy ◽  
Wind Turbine ◽  
Reactive Power ◽  
System Stability ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Micro Grid ◽  
Doubly Fed

As of late, expanding interest of renewable energy and consumption of non-renewable energy source have prompted developing advancement of renewable energy technology, for example, wind energy. Wind energy has turned out to be one of the reliable sources of renewable energy, which requests extra transmission capacity and better methods for sustaining system reliability. As of now, doubly fed induction generator wind turbine is the most well-known wind turbine. This paper focuses on DFIG wind farm design using MATLAB/SIMULINK and also investigates the issues of the system stability of the DFIG wind turbine micro grid power system. This analysis includes the changes of voltage, current, real power and reactive power based on various conditions of the power system.

scholarly journals Power fuzzy adaptive control for wind turbine

2020 ◽  
Vol 10 (5) ◽  
pp. 5262
Author(s):  
Yacine Hocini ◽  
Ahmed Allali ◽  
Houari Merabet Boulouiha
Keyword(s):  
Wind Turbine ◽  
Reactive Power ◽  
Renewable Energy Sources ◽  
Wind Farms ◽  
Doubly Fed Induction Generator ◽  
Variable Speed ◽  
Pwm Inverter ◽  
Active And Reactive Power ◽  
Doubly Fed ◽  
Fuzzy Adaptive

In recent years, wind energy has become one of the most promising renewable energy sources. The doubly-fed induction generator (DFIG) is currently the most common type of generator used in wind farms. This paper describes an approach for the independent control of the active and reactive power of the variable-speed DFIG. This paper deals with the control of the active and reactive powers in a DFIG designed for a wind system. The simulation model including a 7 KW - DFIG driven by a wind turbine, a PWM inverter and the proposed control strategy are developed and implemented using Matlab Simulink.

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