Grid Connected Wind Energy Generation Research Articles

Research on the joint optimal allocation of hydropower, wind energy and photovoltaic power generation in the basin

To improve the constancy of hydropower, wind energy and photovoltaic hybrid power generation systems for power furnish to the grid, the joint optimal allocation of hydropower, wind, and photovoltaic is studied. Firstly, the goal of the highest load-matching degree of hydropower, wind energy, and photovoltaic power is put forward. Considering the constraints such as the maximum total power generation ability of hydropower, wind energy, and photovoltaic power generation and the water balance of the reservoir, a joint optimal allocation model of hydropower, wind energy, and photovoltaic power generation in the basin is created, and solved by a progressive optimization algorithm. An example is given to illustrate the influence of source load matching degree on optimal allocation, and the validity of this approach is verified. The simulation results indicate that during grid-connected operation, hydropower, wind energy and photovoltaic complementary power generation can ensure high electricity furnish reliability and deliver more stable power to the grid.

Grid Power Quality Improvement in Wind Energy System using Three and Four Leg Inverter Control

During this paper Modelling and Control of Three and Four Leg Inverter in Wind Energy System for Grid Power Quality Improvement. Static Compensator (STATCOM) is connected at a point of common coupling with a battery energy storage system (BESS) to resolve the power quality difficulties. The battery energy storage utilized to preserve constant real power from varied wind generation. The generated power is often keep within the batteries at low power demand hours. The grouping of battery storage with wind energy generation system can mix the output by fascinating or inserting reactive power and allow the real power flow needed by the load. In the grid new renewable resources is supplemental to extract more power. Injection of wind generation into the grid affects the quality of power resulting in poor performance of the system. Wind energy is taken in to account to be a really promising various for power generation as a result of its various for power generation as a result of its tremendous environmental, social, and economic benefits. In general voltage & frequency should be kept as stable as possible. This stability are often obtained by utilizing the FACTS devices. Recently VSI or CSI based various FACTS devices have been used for flexible power flow control, secure loading and damping of power system oscillation. The FACTS Device (STATCOM) control scheme for the grid connected wind energy generation system to improve the power quality is simulated by using MATLAB/SIMULINK.

Voltage Stability Enhancement and Power Oscillation Damping of a Grid-Connected Wind Power Plant based on Dynamic Optimized GA-PI Controller

Nowadays, the integration of wind energy plants with electrical power systems is increasing rapidly. Moreover, the stability of the power system is affected by the integration of wind energy plants. In this paper, a novel controller has been designed for improving the transient stability of the grid-connected wind generators using STATCOM based on dynamic online optimized GA-PI controller in order to enhance the damping of system oscillations. The STATCOM control scheme for the grid-connected wind energy generation system for power quality improvement is simulated using MATLAB/SIMULINK in power system block set. The results show the application of the STATCOM based on the proposed intelligent controller improve the overall performance of the control system such as the reduction of the voltage fluctuation. In order to validate the proposed scheme, the simulation results have been compared with this without STATCOM. The results show that the proposed controller can accelerate the dynamic response of control system, strengthen the robustness and smoothly operation with respect to the voltage and power response as well as precisely. This paper designates the distinguished performance of the proposed dynamic optimized controller for the control of the active and reactive power of the grid-connected wind power plants.

Stator flux‐oriented vector control of dual stator induction generator with time optimised 11‐zone hybrid PWM for grid connected wind energy generation system

This work presents a novel stator flux-oriented vector control (SFOVC) of a dual stator induction generator (DSIG) used for a grid connected, variable speed wind energy generation system. The DSIG consists of two stator windings electrically separated by an angle of 30° with dissimilar pole numbers, which are in the ratio of 1:3. In conventional vector control, the rotor flux is oriented along the d-axis of the rotor winding. However, the rotor variables are not easily accessible. So, in the SFOVC, the total flux is made to be oriented along the d-axis of the stator winding. SFOVC is advantageous as compared to conventional vector control because the stator variables are easily accessible and do not require any special arrangement for the measurement of variables which increases the robustness of the system. Here, two separate converters are used for the two stator windings of the machine and the converter switching is being controlled by a novel space vector based 11-zone hybrid pulse-width modulation (PWM). This special PWM results in better harmonic performance, reduced torque pulsation and minimal switching loss. The overall simulation is being performed in MATLAB Simulink environment and the simulated results are also being validated experimentally.

Neuro-Fuzzy Control of DFIG Wind Energy System with Distribution Network

For highly efficient and powerful operation of modern grid connected wind energy generation system, reliable operation and smooth control strategy is sufficient. Control strategies incorporated in double fed induction generator (DFIG) based wind energy conversion system should capable for handling the uncertainties in wind speed and grid disturbances. This paper investigates a neuro-fuzzy based adaptive control strategy for controlling rotor side converter of DFIG based wind energy distribution system. Recently proposed extreme learning adaptive neuro-fuzzy inference system (ELANFIS) is utilized for efficient control. ELANFIS is a hybrid neuro-fuzzy system which combines reasoning capability of fuzzy logic systems and approximation capability of extreme learning machine (ELM). The membership function parameters of ELANFIS are calculated randomly and output parameters are found using Moore Penrose pseudo inverse method. The vector control with proposed ELANFIS control strategy on DFIG connected IEEE-34 bus system is tested under various contingencies and is able to handle the uncertainties in the wind speed and grid disturbance. The performance of the proposed in technique is verified thought real time digital simulator (RTDS) along with hardware in loop (HIL) configuration.

A novel speed sensor-less vector control of Dual Stator Induction machine with space vector based advanced 9-zone hybrid PWM for grid connected wind energy generation system

In this paper a novel speed sensor less vector control of Dual Stator Induction machine has been proposed for grid connected wind energy generation system. Dual Stator Induction machine consists of two stator winding separated by an electrical angle of 30°, with dissimilar pole to overcome the effect of harmonic current occurred in the stator windings. In this work the pole ratio of the two stator winding are taken as 3:1 in order to mitigate the magnetic saturation of the core and high losses which occurs at stator winding. The orientation of the machine is made in such a way that by controlling two stator currents in a perfectly decoupled way zero speed operation can be made possible. There by electrical frequency of it gets maintained at low speed, this characteristic of stator makes the Dual Stator Induction machine more suitable for speed sensor less operation. The two stator windings of the machine are fed from two independent Variable Voltage Variable Frequency inverter, which is being controlled by advanced bus clamping Pulse Width Modulation Technique. The Pulse Width Modulation proposed in this paper is a 9 zone hybrid PWM which results into lower line current ripple, reduced torque pulsation and minimized switch loss then the conventional space vector pulse width modulation, basic and advanced bus clamping PWM and the existing 3, 5 and 7 zone hybrid pulse width modulation. The simulation is being performed in MATLAB and the simulated results are being verified by experimental results. dSPACE DS-1104 Data Acquisition Card is being used to implement the overall control topology.

English

when the wind power is connected to an electrical grid effects of the power quality. The effects of power quality measurements are the active power, reactive power, variation of voltage, flickers, harmonics and electrical behavior of the switching operation. The installation of the wind turbine with grid causes power quality problems determined by studying this paper. For this static compensator (STATCOM) with a battery energy storage system (BESS) at the point of common coupling to mitigate the power quality problems. The grid connected wind energy generation system for the power quality improvement by using STATCOM control scheme is simulated using SIMULINK power system blocked set. This is relives the main supply source from the reactive power demand of the load and induction generator in this proposed scheme. The improvement in the power quality on the grid has been presented here according to the guidelines specified in IEC-61400 standard (International Electro-technical commission) provides some norms and measurements.

Power Quality Improvement in Wind Energy Generation Using Fuzzy Logic Controller

Nowadays, renewable energies have been widely applied to achieve eco friendly objectives. This paper presents the development of a single-phase grid-connected wind energy generation with the improvement in power quality and efficiency. This mainly focuses on showing the improvement in power quality by overcoming the drawbacks with the existing wind energy generation based on the PLL with the discrete PI controller. It is found that Total Harmonic Distortions (THD) present in PLL Single-phase grid-connected wind energy generation can be reduced by using modified PLL method. The modified wind energy generation is based on PLL with Fuzzy logic controller instead of PLL with discrete PI controller. The PLL gets input from the load side, and compare with any one parameters current or voltage (closed loop system). The aim of this survey is to propose a new topology in (HCM) HILL CLIMB METHOD. The tasks related to the SVPWM algorithm, the PLL, the MPPT algorithm, and the monitoring of the DC voltage were successfully implemented in the DSC. Keywords – Total Harmonic Distortions, Phase Locked Loop, Discrete PI Controller, Fuzzy logic controller, Space Vector Pulse Width Modulation, Maximum Power Point Tracking, Digital Signal Controller.

A Svc Light Based Technique for Power Quality Improvement for Grid Connected Wind Energy System

The power produced from wind energy source is always fluctuating due to variation in the wind. Connecting this wind sources to grids leads the system to issues , and shows the impact on the functionality of the grid to be impaired. Thus wind power injection in to an electric grid affects the quality of power.. This project deals the existence of the power quality problems due to the installation of wind turbine with grid. In order to eliminate these power quality problems, this project proposes a scheme based on FACTS device called SVC light which is connected at a Point of Common Coupling. The proposed model is compared with the model that do not use any compensating device .Performance of the system with BESS under load variations and Fault ride through capability of the svc light is also analysed. This control scheme for the grid connected wind energy generation system is to improve the power quality and this system is simulated using MATLAB /SIMULINK in power system block set. Keywords: Power Quality, Wind Generating System (WGS), Svc lig ht, Statcom, and Fault r i d e thro ugh capability, Battery energy storage system (BESS).

Research on Squirrel-Cage Induction Generator Full Power Converter Control Strategies of Wind Power Generation System with Dynamic Systems

In this paper, a new control scheme of a variable speed grid connected wind energy generation system was presented. The scheme used a squirrel-cage induction generator (SCIG) as generator and it connected to the grid through a back-to-back double PWM converter. According to the characteristics of induction motor, the generator side adopted rotor flux linkage oriented slip frequency vector control technology, and the grid side used the network voltage oriented control and voltage and current dual close-loop control strategy. The simulation results show that the system can work in the state of variable speed constant frequency (VSCF)power generation and the active and reactive power can be controlled with no mutual interference and with good static-dynamic performance.

BIFURCATION IN WIND ENERGY GENERATION SYSTEMS

This letter reveals the possibility of Hopf bifurcation in a grid-connected wind energy generation system which handles an unbalanced loading. The wind energy generation system consists of a typical doubly fed induction generator (DFIG) which allows variable speed operation by using partially rated back-to-back quadruple active and reactive power PWM converters. Many control schemes reported in the literature are designed to solve some specific control problems associated with DFIG and have rarely been tested for general stability. Specifically, bifurcation analysis of the system has not been reported so far. We study the system stability in terms of the magnitude of some unwanted oscillation of the voltage link capacitor under a practical scenario where the system interacts indirectly with unbalanced single-phase constant power loads through the power grid. In this letter, the rotor speed of the DFIG is used as a variation parameter for bifurcation analysis. Bifurcation diagram of the voltage link capacitor indicates a Hopf-like bifurcation of the system in super-synchronous operation. This clearly explains the instability phenomenon of the practical DFIG system when unbalanced single-phase constant power loads are connected to the connecting grid.

A STATCOM-Control Scheme for Grid Connected Wind Energy System for Power Quality Improvement

Injection of the wind power into an electric grid affects the power quality. The performance of the wind turbine and thereby power quality are determined on the basis of measurements and the norms followed according to the guideline specified in International Electro-technical Commission standard, IEC-61400. The influence of the wind turbine in the grid system concerning the power quality measurements are-the active power, reactive power, variation of voltage, flicker, harmonics, and electrical behavior of switching operation and these are measured according to national/international guidelines. The paper study demonstrates the power quality problem due to installation of wind turbine with the grid. In this proposed scheme STATic COMpensator (STATCOM) is connected at a point of common coupling with a battery energy storage system (BESS) to mitigate the power quality issues. The battery energy storage is integrated to sustain the real power source under fluctuating wind power. The STATCOM control scheme for the grid connected wind energy generation system for power quality improvement is simulated using MATLAB/SIMULINK in power system block set. The effectiveness of the proposed scheme relives the main supply source from the reactive power demand of the load and the induction generator. The development of the grid co-ordination rule and the scheme for improvement in power quality norms as per IEC-standard on the grid has been presented.

A Novel Scheme for Rapid Tracking of Maximum Power Point in Wind Energy Generation Systems

This paper presents a novel maximum power point (MPP) tracking (MPPT) algorithm for grid-connected wind energy generation systems (WEGS). This is a rapid tracking algorithm that uses the fact that the value of ?s,? an intermediate variable, especially defined for the purpose, remains constant ( =sMPP ) for a given WEGS at the MPP irrespective of the wind velocity. The value of sMPP is known in advance. The algorithm works in two stages. In the first stage, it uses large steps to quickly drive the operating point to lie within a narrow band with limits smax and smin. In the second stage, exact MPP is tracked using the ?perturb and observe? method. No extra hardware or measurements (sensors) are required compared to the existing algorithms. Hence, the cost is not increased. Application of the proposed algorithm to an example WEGS shows that the time taken by the system to reach MPP is much smaller compared to most of the existing algorithms. A prototype matrix converter has been developed for grid interfacing and the proposed MPPT scheme has been implemented in conjunction with Venturini and space-vector-modulation-based switching schemes. All the results of this study are presented.