Wind Turbine Generator System Research Articles

Symbiotic organisms search algorithm‐based optimal control strategy for efficient operation of variable‐speed wind generators

The penetration rate of grid-tied wind turbine generator systems (WTGSs) into the existing electricity networks is rapidly increasing worldwide. Huge efforts are exerted for improving the characteristics of variable-speed wind energy conversion systems. This study exhibits a novel symbiotic organisms search algorithm (SOSA)-based optimal control strategy for achieving efficient operation of a grid-connected WTGS. The optimal control strategy relies on proportional–integral (PI) controllers, which are properly fine-tuned using the SOSA. The simulation-based optimisation method is considered in the optimisation process, where the integration of the square error criterion is selected as a fitness function. To obtain realistic performances, practical wind speed data extracted from the Zaafarana power plant in Egypt are used in the analyses. The efficacy of the SOSA-based optimal PI control strategy is compared with that realized using the grey wolf optimiser algorithm (GWOA)-based PI control scheme, considering network disturbances. The feasibility of the proposed control strategy is validated using the simulation studies, which are implemented using MATLAB/Simulink software. Notably, the proposed SOSA-based optimal control strategy is considered to be a precise means of improving the behaviour of grid-tied WTGSs.

Fault-Tolerant Control of Doubly-Fed Wind Turbine Generation Systems under Sensor Fault Conditions

This paper studies the fault-tolerant control problem of uncertain doubly-fed wind turbine generation systems with sensor faults. Considering the uncertainty of the system, a fault-tolerant control strategy based on a T-S fuzzy observer is proposed. The fuzzy observer is established based on the T-S fuzzy model of the uncertain nonlinear system. According to the comparison and analysis of residual between the state estimation of the fuzzy observer output and the measured value of the real sensor, a fault detection and isolation (FDI) based on T-S fuzzy observer is designed. Then by using a Parallel Distributed Compensation (PDC) method we design the robust fuzzy controller. Finally, the necessary and sufficient conditions for the stability of the closed-loop system are proved by quoting Lyapunov stability theory. The simulation results verify the effectiveness of the proposed control method.

Insurance for Lightning Strikes in Wind Turbine Generator Systems

1．はじめに

Modeling of micro-grid with the consideration of total harmonic distortion analysis

<p>With the rapid expansion of electricity grid, there yet still places to be covered considering their remote location. Micro-grid (MG) is a solution in this scenario, in fact, there is actually many cases where MG is used in case of emergency and act as a backup to the main electrical grid. By disconnecting itself from the larger grid, a grid that can have many problems, the micro-grid becomes much more flexible in its operations and by continuing to power households and communities alike. Besides grid-connected mode, it is necessary for the MG to operate in autonomous mode. By operating in islanded mode, micro-grids must be able to supply critical load without interruption, run at specific values for voltage and power and extract the maximum power from the distributed generations (DG). Therefore, the modeling of microgrid network considering solar photovoltaic(PV) and wind turbine generation (WTG) system as the distributed generation have been modeled using Matlab/Simulink in this research. Apart from that, the observation of total harmonic distortion(THD) between two operation modes of grid-connected and the islanded-mode is presented in order to analyze the power quality stability towards two operations MG network with same loads size and network parameters.</p>

Regulations and Standards on Lightning Protection for Wind Turbine Generation System

Regulations and Standards on Lightning Protection for Wind Turbine Generation System

Stabilization of The Alternative Current in Wind Based Power Plant using Multi Order Harmonic Remover Based on Synthesized Multilayer Power Converter

Disregarding wind turbines has been conveyed an unmistakable fuel source and does not corrupt the air like other power assets, which relies upon consuming of petroleum products, for instance, coal or vaporous oil, since wind is a fluctuating wellspring of vitality it has experienced high request music and isn't fit to meet the base burden vitality request. Along these situation, this circumstance forces wind turbine generator system to have a power molding circuit called control converter that should be bore of changing the generator repeat and voltage to grid anyway existing converters are doing combating with low solicitation sounds just so when high request music occurs, there is a debasement in power quality and wind turbine needs single multi arrange converter. As to issue, this work showed a multi request symphonious remover subject to mixed multilayer influence converter which avoids high music bending to upgrade the influence idea of wind based influence plant by considering the going with attributes that prompts sounds, for instance, control adversity to adjust up to this expansion type rectifier is used, inadequacy current that is changed by imperfection current limiter and the high repeat part that is controlled using nonlinear inductor, at long last commotion is decreased by cascaded c type filter so this structure can battle with the high consonant mutilation and kept up the impact quality and the transient security of the wind turbine.

Application of renewable energy resources in a microgrid power system

In order to meet the power prerequisites of their citizens, many countries are heavily dependent on the utilization of fossil fuels for power generation. This has reduced the natural reserve of fossil fuels and caused a large percentage of greenhouse gas emissions (GHGs). It is imperative to harness energy from renewable energy resources (RERs) as a measure to supplement the authors’ daily energy needs from the conventional units. The proposed microgrid system deals with the incorporation of the wind turbine generator (WTG), diesel generator, hydro turbine, photovoltaic and battery storage system for optimisation of net present cost (NPC), annualised cost of the system (ACS), GHG, fuel cost, operating costs and cost of energy (COE) by using hybrid optimisation model for electric renewables using HOMER software. The system is designed with the energy demand of 618 kWh/day at a peak load of 72.5 kW. The values of NPC, COE, ACS and fuel consumption obtained in the optimised configuration are $942,654/yr, $ 127,415, $0.327/kWh and 51,236 L/yr. The simulation results obtained from the optimised scenario reveal that the utilisation of RERs has been found to be a cost effective means to supply remote areas.

Design of Supervisory Fault Tolerant Control for Wind Turbine Generator System Operated in Region II

Design of Supervisory Fault Tolerant Control for Wind Turbine Generator System Operated in Region II

An Adaptive Fuzzy Logic Control Strategy for Performance Enhancement of a Grid-Connected PMSG-Based Wind Turbine

Wind power installations are rapidly increasing worldwide, leading to a huge level of permeation into electricity supply networks. Enormous efforts are spent to improve the performance of the wind turbine generator systems. This paper proposes a novel adaptive fuzzy logic control strategy for performance improvement of a grid-tied wind generator system. The variable-speed wind turbine driven permanent-magnet synchronous generator is tied to the electricity network by a full-capacity power converter. A cascaded adaptive fuzzy logic control strategy is proposed as the control methodology for the generator- and the grid-side converter/inverter. The adaptive technique depends on a continuous mixed $p$ -norm algorithm, which on-line updates the scaling factors of the fuzzy logic controllers (FLCs) at a high convergence speed. For the sake of preciseness, real wind speed data measured in the Zaafarana wind farm, Egypt, are considered in the analyses. The effectiveness of the proposed adaptive FLC is compared to that achieved using particle swarm optimization algorithm based an optimal proportional-integral controller, considering severe grid disturbances. Extensive simulation analyses, which are done using MATLAB/Simulink software, are presented to validate the efficiency of the adaptive fuzzy logic control strategy.

High Voltage Ride through Control of PMSG-Based Wind Turbine Generation System Using Supercapacitor

Regarding PMSG-based wind turbine generation system, this paper proposes a supercapacitor energy storage unit (SCESU) which is connected in parallel with the DC-link of the back-to-back converter to enhance its high voltage ride through performance. The analysis of the operation and control for the grid-side converter and SCESU are conducted. Based on real time digital simulators (RTDS), a model and a Hardware-in-the-Loop (HiL) platform of PMSG-based wind turbine with SCESU is developed, and the simulation results show that the SCESU absorbs the imbalanced energy and the grid-side converter absorbs inductive reactive power during the period of voltage swell and verify the correctness and feasibility of the high voltage ride through control strategy.

Study on high voltage ride through control strategy of PMSG‐based wind turbine generation system with SCESU

Regarding PMSG-based wind turbine generation system, this study proposes a super-capacitor energy storage unit (SCECU) connected parallel to the DC-link of the back-to-back converter to enhance its high voltage ride through performance. The analysis of the operation and control for the grid-side converter and SCECU are conducted. Based on real-time digital simulators (RTDS), a model of PMSG-based wind turbine with SCECU is developed, and the simulation results show that the SCECU absorbs the imbalanced energy and the grid-side converter absorbs inductive reactive power during the period of voltage swell. The simulation results based on RTDS verify the correctness and feasibility of the high voltage ride through control strategy.

A Review on Wind Turbine and Wind Generator Used in WECS

The applications of wind energy develop much rapidly than the other renewable resources such as solar, geothermal and so on in the 21st century. It becomes the third core energy resource following non-conventional fuels as oil and chemical. Electrical energy generated by wind power plants is the best ever developing and most promising renewable energy source. The wind is a clean, free and limitless energy source. Wind Energy Generation Systems (WECS) are confront with increasing demands for power quality and harmonic distortion control. With the advance in power electronics technology, the fast growth of variable speed WECS is now witness. However, the power quality still remains an important issue to be addressed thoroughly by researchers. This paper presents a comparative study on grid connected WECS having two different Wind Turbine Generator Systems (WTGS) using DFIG and PMSG.

Optimal energy management of a grid-connected multiple energy carrier micro-grid

This paper presents a novel modeling approach to optimize the electrical and thermal energy management of a multiple energy carrier micro-grid with the aim of minimizing the operation cost such that system constraints are satisfied. The proposed micro-grid includes a micro-turbine, a fuel cell, a rubbish burning power plant, a wind turbine generator system, a boiler, an anaerobic reactor-reformer system, an inverter, a rectifier, and some energy storage units. The model uses day-ahead forecasting (24 h) to estimate the electrical and thermal loads on a micro-grid network. A day-ahead forecast is also used to estimate electricity generation from wind turbines. Due to the uncertainty associated with day-ahead forecasts, a Monte Carlo simulation is used to estimate thermal loads, electrical loads, and wind power generation. Also, a real-time pricing demand response program is used to shift non-vital loads. The operating cost of the micro-grid is minimized through the particle swarm optimization algorithm. The simulation results demonstrate the proposed modeling framework is superior over conventional centralized optimal scheduling models widely used in the literature in terms of reducing operating cost and computational complexity. In addition, the results obtained by applying the proposed modeling framework are analyzed and validated through scenario testing.

Economic and environmental analysis of a co-generation power system with the incorporation of renewable energy resources

Abstract Combined heat and power is utilized to generate electric power and produce thermal energy for various applications. In view of this, we investigate the economic savings and environmental effects of using a co-generation system that is made-up of microturbine (MT) and other auxiliaries instead of using only a gas boiler. This paper addresses the power-scheduling problem among the generating units in a microgrid (MG) system that comprises of photovoltaic (PV), wind turbine generator (WTG), MT, grid and battery storage system (BSS). The optimal operation of the proposed MG system is obtained by considering the demand response, operating costs and other key performance indicators. The objective function of this study is to minimize the cost of energy, NPC, emission, operating cost, fuel cost and grid energy purchase. HOMER software is utilized to accomplish the goal of the research work. In this paper, a model is developed to investigate the performances of the system having considered the economic and environmental significance of utilizing renewable energy resources (RERs) in a MG system. The results of the simulation analysis reveal that the proposed model is cost effective to reduce the operating costs of the MG system with the application of RERs.

A study on frequency adjustment mechanism for wind turbine generation systems

Wind turbine generation systems (WTs) normally do not have mechanisms to control their output, so that the growth in WT penetration has brought difficulty in the frequency control operation of powe...

A Study of Straight Wing Non-Articulated Vertical Axis Wind Turbine and solar power hybrid Generation Systems

A Study of Straight Wing Non-Articulated Vertical Axis Wind Turbine and solar power hybrid Generation Systems

Fault Diagnosis of Wind Turbine Power Converter Considering Wavelet Transform, Feature Analysis, Judgment and BP Neural Network

The larger capacity of power converters increases with the size of wind turbines over the years, which implies more failures occur in the components of power converter. Meanwhile, the strategies of fault diagnosis of power converter in wind turbine are still under discussion and research. The main purpose of this paper is proposing a strategy containing wavelet transform, feature analysis, judgment and back propagation neural network (BPNN) classification (WT-FA-JD-BP) to identify the single and double power components open-circuit faults accurately, happen in grid-side converter (GSC) of permanent magnet synchronous generator (PMSG) wind turbine systems. First, as the original signals, the three-phase bridge legs voltage of the GSC are collected under different faults. Second, wavelet transform is used to decompose and reconstruct the signals. Third, a new method includes feature analysis and judgment is conducted to amplify the divergence of data obtained by wavelet transform. Finally, the data are used as the inputs of BPNN for decision-making and classification. The simulation and experimental results show that the proposed strategy can classify the single and double open-circuit faults, and the accuracy is higher than that without data feature analysis and judgment.

Smart Loads for Improving the Fault-Ride-Through Capability of Fixed-Speed Wind Generators in Microgrids

In this paper, the smart load formed by the back-to-back electric springs (ES-B2B) is evaluated for improving the fault-ride through (FRT) capability of the wind turbine generation system with fixed speed induction generator (FSIG) for the first time. The characteristic of the ES-B2B in providing fast reactive power compensation is found to be highly useful in recovering the rotor speed of FSIGs when a fault event occurs. This is a new function in addition to the original function of stabilizing mains voltage against renewable generations. A simple and yet effective controller is then developed for the ES-B2B in order to ensure fast response. The ES-B2B-based smart load and the proposed control have been tested in MATLAB/Simulink and real-time digital simulator to evaluate: 1) the reactive power compensation capability of ES-B2B; 2) the effectiveness of the proposed control of ES-B2B for FRT support; and 3) the comparison of distributed ES-B2Bs with centralized STATCOM in providing distributed FRT support in different grid topologies.

Impact Analysis of Design Conditions on Annual Operating Performances of Large-Scale Vertical Axis-type Wind Turbine-Generator Systems

Impact Analysis of Design Conditions on Annual Operating Performances of Large-Scale Vertical Axis-type Wind Turbine-Generator Systems

Model predictive control of floating offshore wind turbine-generator systems based on preview of wind speed and wave height

Model predictive control of floating offshore wind turbine-generator systems based on preview of wind speed and wave height