Journal articles: 'Wind energy conversion system (WECS)'

1

Shi, Yun-Tao, Yuan Zhang, Xiang Xiang, Li Wang, Zhen-Wu Lei, and De-Hui Sun. "Stochastic Hybrid Estimator Based Fault Detection and Isolation for Wind Energy Conversion Systems with Unknown Fault Inputs." Energies 11, no. 9 (August 24, 2018): 2227. http://dx.doi.org/10.3390/en11092227.

Full text

Abstract:

In recent years, the wind energy conversion system (WECS) has been becoming the vital system to acquire wind energy. However, the high failure rate of WECSs leads to expensive costs for the maintenance of WECSs. Therefore, how to detect and isolate the faults of WECSs with stochastic dynamics is the pressing issue in the literature. This paper proposes a novel comprehensive fault detection and isolation (FDI) method for WECSs. First, a stochastic model predictive control (SMPC) controller is studied to construct the closed-loop system of the WECS. This controller is based on the Markov-jump linear model, which could precisely establish the stochastic dynamics of the WECS. Meanwhile, the SMPC controller has satisfied control performance for the WECS. Second, based on the closed-loop system with SMPC, the stochastic hybrid estimator (SHE) is designed to estimate the continuous and discrete states of the WECS. Compared with the existing estimators for WECSs, the proposed estimator is more suitable for WECSs since it considers both the continuous and discrete states of WECSs. In addition, the proposed estimator is robust to the fault input. Finally, with the proposed estimator, the comprehensive FDI method is given to detect and isolate the actuators’ faults of the WECS. Both the system status and the actuators’ faults can be detected by the FDI method and it can effectively quantify the actuators’ fault by the fault residuals. The simulation results suggest that the SHE could effectively estimate the hybrid states of the WECS, and the proposed FDI method gives satisfied fault detection performance for the actuators of the WECS.

APA, Harvard, Vancouver, ISO, and other styles

2

Li, T., A. J. Feng, and L. Zhao. "Neural Network Compensation Control for Output Power Optimization of Wind Energy Conversion System Based on Data-Driven Control." Journal of Control Science and Engineering 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/736586.

Full text

Abstract:

Due to the uncertainty of wind and because wind energy conversion systems (WECSs) have strong nonlinear characteristics, accurate model of the WECS is difficult to be built. To solve this problem, data-driven control technology is selected and data-driven controller for the WECS is designed based on the Markov model. The neural networks are designed to optimize the output of the system based on the data-driven control system model. In order to improve the efficiency of the neural network training, three different learning rules are compared. Analysis results and SCADA data of the wind farm are compared, and it is shown that the method effectively reduces fluctuations of the generator speed, the safety of the wind turbines can be enhanced, the accuracy of the WECS output is improved, and more wind energy is captured.

APA, Harvard, Vancouver, ISO, and other styles

3

Chang, Wen Yeau. "Wind Energy Conversion System Power Forecasting Using Radial Basis Function Neural Network." Applied Mechanics and Materials 284-287 (January 2013): 1067–71. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.1067.

Full text

Abstract:

An accurate forecasting method for wind power generation of the wind energy conversion system (WECS) can help the power system’s operator to reduce the risk of unreliability of electricity supply. This paper proposed a radial basis function (RBF) neural network method to forecast the wind power generation of WECS. To demonstrate the effectiveness of the proposed method, the method is tested on the practical information of wind power generation of a WECS. The good agreements between the realistic values and forecasting values are obtained; the numerical results show that the proposed forecasting method is accurate and reliable.

APA, Harvard, Vancouver, ISO, and other styles

4

Meenakshi, Ram, and Ranganath Muthu. "An Overview of Maximum Power Point Tracking Techniques for Wind Energy Conversion Systems." Advanced Materials Research 622-623 (December 2012): 1030–34. http://dx.doi.org/10.4028/www.scientific.net/amr.622-623.1030.

Full text

Abstract:

This paper presents on overview of maximum power point tracking (MPPT) techniques for different types of wind energy conversion systems (WECS). In order to obtain maximum power from the wind turbine (WT), variable speed wind energy conversion systems (VSWECSs) are preferred over constant speed wind energy conversion systems (CSWECSs).In VSWECS, the rotational speed of the turbine is varied by controlling the aerodynamic or electrical parameters of WECS to maintain a constant tip-speed ratio (TSR). This is called maximum power point tracking and different techniques are applied to WECS namely Squirrel Cage Induction Generators (SCIGs) based WECS, Permanent Magnet Synchronous Generators (PMSGs) based WECS.

APA, Harvard, Vancouver, ISO, and other styles

5

Gupta, Shailendra K., and Rakesh K. Srivastava. "A Novel Hybrid Solar-wind Energy Conversion System for Remote Area Electrification." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 13, no. 6 (November 4, 2020): 906–17. http://dx.doi.org/10.2174/2213111607666191204151926.

Full text

Abstract:

Background: Remote area electrification is a social responsibility that needs to be catered by research fraternity. One of the most viable technology as a solution is the Renewable Energy Source (RES) based power generation. However, RES is intermittent and thus, mostly ineffective without an energy storage device. Energy storage device comes at increased cost and may not be a cost-effective solution to the problem. Introduction: One solution that has been frequently proposed to reduce the intermittency of RES is hybridization. Hybridization of RES such as Wind Energy Conversion System (WECS) with Solar Energy Conversion System (SECS) is the most basic solution offered owing to their complementary nature. Therefore, this paper sees SECS in the role of supporting WECS in regions with highly intermittent wind conditions. In this paper, a novel technique of hybridization of WECS with SECS has been proposed. Methods: The basic idea of the paper is to control the dc-link voltage from the generation side by regulating the power generated by RES as per load demand using minimum components. The underlined principle is the relative lower time constant of solar panel and battery system in comparison to a wind turbine. Results: The experimental results on the proposed system shows that the SECS supports the WECS at higher wind turbulence and low wind conditions. Conclusion: This unique feature of the proposed system enables a WECS supported by a small rated SECS to attain high power reliability and thus, suitable for application such as remote area electrification.

APA, Harvard, Vancouver, ISO, and other styles

6

N., Rekha S., P. Aruna Jeyanthy, and D. Devaraj. "Relevance vector machine based fault classification in wind energy conversion system." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 3 (June 1, 2019): 1506. http://dx.doi.org/10.11591/ijece.v9i3.pp1506-1513.

Full text

Abstract:

This Paper is an attempt to develop the multiclass classification in the Benchmark fault model applied on wind energy conversion system using the relevance vector machine (RVM). The RVM could apply a structural risk minimization by introducing a proper kernel for training and testing. The Gaussian Kernel is used for this purpose. The classification of sensor, process and actuators faults are observed and classified in the implementation. Training different fault condition and testing is carried out using the RVM implementation carried out using Matlab on the Wind Energy Conversion System (WECS). The training time becomes important while the training is carried out in a bigger WECS, and the hardware feasibility is prime while the testing is carried out on an online fault detection scenario. Matlab based implementation is carried out on the benchmark model for the fault detection in the WECS. The results are compared with the previously implemented fault detection technique and found to be performing better in terms of training time and hardware feasibility.

APA, Harvard, Vancouver, ISO, and other styles

7

You, Guodong, Tao Xu, Honglin Su, Xiaoxin Hou, and Jisheng Li. "Fault-Tolerant Control for Actuator Faults of Wind Energy Conversion System." Energies 12, no. 12 (June 19, 2019): 2350. http://dx.doi.org/10.3390/en12122350.

Full text

Abstract:

The problem of robust fault-tolerant control for actuators of nonlinear systems with uncertain parameters is studied in this paper. Takagi–Sugeno (T-S) fuzzy model is used to describe the wind energy conversion system (WECS). Fuzzy dedicated observer (FDO) and fuzzy proportional integral observer (FPIO) are established to reconstruct the system state and actuator fault, respectively. Fuzzy Robust Scheduling Fault-Tolerant Controller (FRSFTC) is designed by parallel distributed compensation (PDC) method, so as to realize the purpose of active fault tolerance for actuator faults and ensure the robust stability of the system. The stability of the closed-loop system is proved by Taylor series, Lyapunov function, and Linear Matrix Inequalities (LMIs). Finally, the simulation results verify that the proposed method is feasible and effective applied to WECS with doubly fed induction generators (DFIG).

APA, Harvard, Vancouver, ISO, and other styles

8

Lin, Zhicheng, Song Zheng, Zhicheng Chen, Rong Zheng, and Wang Zhang. "Application Research of the Parallel System Theory and the Data Engine Approach in Wind Energy Conversion System." Energies 12, no. 5 (March 1, 2019): 821. http://dx.doi.org/10.3390/en12050821.

Full text

Abstract:

The parallel system is a kind of scientific research method based on an artificial system and computational experiments, which can not only reflect the dynamic process of the real system but also optimize its control process in real time. Given the rapid development of wind energy technology, how to shorten the development and deployment cycle and decrease the programming difficulties of wind energy conversion system (WECS) are major issues for improving the utilization of this form of energy. In this paper, the Data Engine is used as a computing environment to form a parallel WECS for studying the engineering application of WECS. With the support of the programming methods of graphical component configurations, visualization technology and dynamic reconfiguration technology, a maximum power point tracking (MPPT) computing experiment of the parallel WECS is carried out. After comparing with MATLAB simulation results, the parallel WECS is verified as having good performance. The Data Engine is an ideal computing unit for modeling and computation of the parallel system and can establish a parallel relationship between the artificial system and the real system so as to achieve the optimal control of WECS.

APA, Harvard, Vancouver, ISO, and other styles

9

Padmanathan, K., N. Kamalakannan, P. Sanjeevikumar, F. Blaabjerg, J. B. Holm-Nielsen, G. Uma, R. Arul, R. Rajesh, A. Srinivasan, and J. Baskaran. "Conceptual Framework of Antecedents to Trends on Permanent Magnet Synchronous Generators for Wind Energy Conversion Systems." Energies 12, no. 13 (July 8, 2019): 2616. http://dx.doi.org/10.3390/en12132616.

Full text

Abstract:

Wind Energy Conversion System (WECS) plays an inevitable role across the world. WECS consist of many components and equipment’s such as turbines, hub assembly, yaw mechanism, electrical machines; power electronics based power conditioning units, protection devices, rotor, blades, main shaft, gear-box, mainframe, transmission systems and etc. These machinery and devices technologies have been developed on gradually and steadily. The electrical machine used to convert mechanical rotational energy into electrical energy is the core of any WECS. Many electrical machines (generator) has been used in WECS, among the generators the Permanent Magnet Synchronous Generators (PMSGs) have gained special focus, been connected with wind farms to become the most desirable due to its enhanced efficiency in power conversion from wind energy turbine. This article provides a review of literatures and highlights the updates, progresses, and revolutionary trends observed in WECS-based PMSGs. The study also compares the geared and direct-driven conversion systems. Further, the classifications of electrical machines that are utilized in WECS are also discussed. The literature review covers the analysis of design aspects by taking various topologies of PMSGs into consideration. In the final sections, the PMSGs are reviewed and compared for further investigations. This review article predominantly emphasizes the conceptual framework that shed insights on the research challenges present in conducting the proposed works such as analysis, suitability, design, and control of PMSGs for WECS.

APA, Harvard, Vancouver, ISO, and other styles

10

Wang, Xu, and Yanxia Shen. "Fault Tolerant Control of DFIG-Based Wind Energy Conversion System Using Augmented Observer." Energies 12, no. 4 (February 13, 2019): 580. http://dx.doi.org/10.3390/en12040580.

Full text

Abstract:

An augmented sliding mode observer is proposed to solve the actuator fault of an uncertain wind energy conversion system (WECS), which can estimate the system state and reconstruct the actuator faults. Firstly, the mathematical model of the WECS is established, and the non-linear term in the state equation is separated as the uncertain part of the system. Then, the states of the system are augmented, and the actuator fault is considered as part of the augmented state. The augmented sliding mode observer is designed to estimate the system state and actuator fault. A robust fault-tolerant controller is designed to ensure the reliable input of the WECS, maintain the stability of the fault system and maximize the acquisition of wind energy. The numerical simulation results verify the effectiveness of the control strategy.

APA, Harvard, Vancouver, ISO, and other styles

11

Aguemon, Dourodjayé Pierre, Richard Gilles Agbokpanzo, Frédéric Dubas, Antoine Vianou, Didier Chamagne, and Christophe Espanet. "A Comprehensive Analysis and Review on Electrical Machines in Wind Energy Conversion Systems." Advanced Engineering Forum 35 (February 2020): 77–93. http://dx.doi.org/10.4028/www.scientific.net/aef.35.77.

Full text

Abstract:

Wind energy conversion systems (WECS) have developed rapidly in recent years in terms of capacity and wind turbines design. This development led to improve power quality, to reduce the costs and increase the energy yield. WECS are expected to be reliable, effective and more cost-competitive. A comprehensive analysis and review on electrical machines in WECS (viz., wind turbine generators) has been presented in this paper. Design, (dis) advantages, and market penetration of different wind turbine generators are analyzed and discussed. Some comparisons have been made on the permanent-magnet (PM) synchronous machines, promising generator for future wind turbines, especially offshore wind turbines.

APA, Harvard, Vancouver, ISO, and other styles

12

Mwaniki, Julius, Hui Lin, and Zhiyong Dai. "A Condensed Introduction to the Doubly Fed Induction Generator Wind Energy Conversion Systems." Journal of Engineering 2017 (2017): 1–18. http://dx.doi.org/10.1155/2017/2918281.

Full text

Abstract:

The increase in wind power penetration, at 456 GW as of June 2016, has resulted in more stringent grid codes which specify that the wind energy conversion systems (WECS) must remain connected to the system during and after a grid fault and, furthermore, must offer grid support by providing reactive currents. The doubly fed induction generator (DFIG) WECS is a well-proven technology, having been in use in wind power generation for many years and having a large world market share due to its many merits. Newer technologies such as the direct drive gearless permanent magnet synchronous generator have come up to challenge its market share, but the large number of installed machines ensures that it remains of interest in the wind industry. This paper presents a concise introduction of the DFIG WECS covering its construction, operation, merits, demerits, modelling, control types, levels and strategies, faults and their proposed solutions, and, finally, simulation. Qualities for the optimal control strategy are then proposed. The paper is intended to cover major issues related to the DFIG WECS that are a must for an overview of the system and hence serve as an introduction especially for new entrants into this area of study.

APA, Harvard, Vancouver, ISO, and other styles

13

Bao, Jian Yu, Wei Bing Bao, and Jie Gong. "MPPT Control for Current Source Converter Based PMSG Wind Energy Conversion System." Advanced Materials Research 614-615 (December 2012): 1460–64. http://dx.doi.org/10.4028/www.scientific.net/amr.614-615.1460.

Full text

Abstract:

Current source converter (CSC) configuration tailored to high-power grid-connected wind energy conversion system (WECS) has been an attractive solution for direct drive of permanent magnet synchronous generators (PMSGs). A maximum power point tracking (MPPT) scheme for a PMSG-based WECS is presented in this paper. On the generator side, a fully controlled current source converter is inserted as a circuit interface to handle a wide range of the variable wind speeds. Rectifier side controller extracts maximum power through closed-loop regulation of generator speed. The available maximum power fed to the grid is adjusted by regulating dc-link output current of CSC according to the variable wind speed. Simulation results obtained from a megawatt PSIM model are provided to verify the proposed concepts.

APA, Harvard, Vancouver, ISO, and other styles

14

Dumnic, Boris, Dragan Milicevic, Bane Popadic, Vladimir Katic, and Zoltan Corba. "Speed-sensorless control strategy for multi-phase induction generator in wind energy conversion systems." Thermal Science 20, suppl. 2 (2016): 481–93. http://dx.doi.org/10.2298/tsci151019032d.

Full text

Abstract:

Renewable energy sources, especially wind energy conversion systems (WECS), exhibit constant growth. Increase in power and installed capacity led to advances in WECS topologies. Multi-phase approach presents a new development direction, with several key advantages over three-phase systems. Paired with a sensorless control strategy, multi-phase machines are expected to take primacy over standard solutions. This paper presents speed sensorless vector control of an asymmetrical six-phase induction generator based on a model reference adaptive system (MRAS). Suggested topology and developed control algorithm show that sensorless control can yield appropriate dynamic characteristics for the use in WECS with increase in reliability and robustness.

APA, Harvard, Vancouver, ISO, and other styles

15

Hao, Wang Shen, Feng Qin Li, Jie Han, Xin Min Dong, and Hong Chen. "Study on Fault Diagnosis Platform in Wind Energy Conversion Systems Based on JESS." Advanced Materials Research 230-232 (May 2011): 925–29. http://dx.doi.org/10.4028/www.scientific.net/amr.230-232.925.

Full text

Abstract:

There is a constant need for the reduction of operational and maintenance costs of Wind Energy Conversion System(WECS). The most efficient way of reducing these costs would be to continuously monitor the condition of these systems, which allows for early detection of the degeneration of the generator health, facilitating a proactive response, minimizing downtime, and maximizing productivity. Wind generators are also inaccessible since they are situated on extremely high towers.There are also plans to increase the number of offshore sites increasing the need for a remote means of WECS monitoring that overcomes some of the difficulties of accessibility problems. Therefore it is important of condition monitoring and fault diagnosis in WECS. The monitoring schemes of transfer its monitor status with JESS technology was put forward in this paper. A remote condition monitoring platform (RCMP) was designed and constructed in this project. And its result brings us an effective solution to deal with the WECS condition monitoring.

APA, Harvard, Vancouver, ISO, and other styles

16

You, Xia, Bo Zhou, Guang Jie Zuo, and Hong Hao Guo. "A Novel Algorithm for Fast and Adaptive Maximum Power Point Tracking of Wind Energy Generation System." Advanced Materials Research 383-390 (November 2011): 3633–38. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.3633.

Full text

Abstract:

Keeping wind energy conversion system (WECS) running on maximum power point (MPP) can make full use of wind energy. In this paper, authors put forward a novel hybrid maximum power point tracking (MPPT) algorithm which combines three points comparing (TPC) method with power-signal feedback (PSF) method. WECS based on doubly-salient electro-magnetic generator (DSEG) is used to validate the effectiveness of proposed algorithm. The whole WECS is simulated in Matlab/SimuLink, simulation results obtained confirm that the proposed algorithm is more fast and efficient than TPC method.

APA, Harvard, Vancouver, ISO, and other styles

17

Sami, Irfan, Shafaat Ullah, Zahoor Ali, Nasim Ullah, and Jong-Suk Ro. "A Super Twisting Fractional Order Terminal Sliding Mode Control for DFIG-Based Wind Energy Conversion System." Energies 13, no. 9 (May 1, 2020): 2158. http://dx.doi.org/10.3390/en13092158.

Full text

Abstract:

The doubly fed induction generator (DFIG)-based wind energy conversion systems (WECSs) are prone to certain uncertainties, nonlinearities, and external disturbances. The maximum power transfer from WECS to the utility grid system requires a high-performance control system in the presence of such nonlinearities and disturbances. This paper presents a nonlinear robust chattering free super twisting fractional order terminal sliding mode control (ST-FOTSMC) strategy for both the grid side and rotor side converters of 2 MW DFIG-WECS. The Lyapunov stability theory was used to ensure the stability of the proposed closed-loop control system. The performance of the proposed control paradigm is validated using extensive numerical simulations carried out in MATLAB/Simulink environment. A detailed comparative analysis of the proposed strategy is presented with the benchmark sliding mode control (SMC) and fractional order terminal sliding mode control (FOTSMC) strategies. The proposed control scheme was found to exhibit superior performance to both the stated strategies under normal mode of operation as well as under lumped parametric uncertainties.

APA, Harvard, Vancouver, ISO, and other styles

18

Bellarbi, Samir. "Electromechanical Study the Wind Energy Conversion System Based DFIG and SCIG Generators." International Journal of Mechanics 15 (July 14, 2021): 102–6. http://dx.doi.org/10.46300/9104.2021.15.11.

Full text

Abstract:

Generally speaking, asynchronous generators are used more frequently in medium power in wind energy conversion systems WECS applications. Depending on the power electronics converter used in the specific application, the operation of the asynchronous machine can be controlled in nested speed torque loops, using different torque control algorithms. Because WECS are highly nonlinear systems, but with smooth nonlinearities, a possible optimal control design solution can be the maximum power point tracking MPPT in this paper. This research describes a comparison of the power quality for wind power systems based on two generators: the squirrel-cage induction generator (SCIG), the doubly fed induction generator (DFIG). At first, we simulated SCIG and DFIG in MATLAB/Simulink and investigates the impact of this generators on the power system stability for compare the results and to comment on the best option based on the output characteristics of the generator and wind turbine. The technical objective of this research is to choose the most suitable generator adaptive with changing wind speeds and the most energy production

APA, Harvard, Vancouver, ISO, and other styles

19

Abd, Mohammed Kdair. "Economic viability and profitability assessments of WECS." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (April 1, 2020): 1220. http://dx.doi.org/10.11591/ijece.v10i2.pp1220-1228.

Full text

Abstract:

Technical and technological advances in alternative energy sources have led many countries to add green energy to their power plants to reduce carbon emissions and air pollution. At present, many electricity companies are looking to use alternative sources of energy because of high electrical energy prices. Wind energy is more useful than many renewable energies such as solar, heat, biomass, etc. The Wind Energy Conversion System (WECS) is a system that converts the kinetic energy of the wind into electrical energy to feed the known loads. WECS can be found in a variety of technology. Climate change and load demand are essential determinants of WECS optimization modelling. In this paper, proposed a strategy focused primarily on economic analysis WECS. The strategy based on a weather change to find the optimal designing and modelling for four different types of WECS using HOMER software. Finally, several criteria were used to determine which type of WECS was the most profitable investment and less payback period.

APA, Harvard, Vancouver, ISO, and other styles

20

Nazir, Muhammad Shahzad, Yeqin Wang, Muhammad Bilal, Hafiz M. Sohail, Athraa Ali Kadhem, H. M. Rashid Nazir, Ahmed N. Abdalla, and Yongheng Ma. "Comparison of Small-Scale Wind Energy Conversion Systems: Economic Indexes." Clean Technologies 2, no. 2 (April 3, 2020): 144–55. http://dx.doi.org/10.3390/cleantechnol2020010.

Full text

Abstract:

Wind energy is considered as one of the most prominent sources of energy for sustainable development. This technology is of interest owing to its capability to produce clean, eco-friendly, and cost-effective energy for small-scale users and rural areas where grid power availability is insufficient. Wind power generation has developed rapidly in the past decade and is expected to play a vital role in the economic development of countries. Therefore, studying dominant economic factors is crucial to properly approach public and private financing for this emerging technology, as industrial growth and energy demands may outpace further economic studies earlier than expected. In this study, a strategy-focused method for performing economic analysis on wind energy based on financial net present value, levelized cost of energy, internal rate of return, and investment recovery period is presented. Numerical and simulation results depict the most optimal and economical system from a 3 and a 10 kW wind energy conversion system (WECS). Moreover, the aforementioned criteria are used to determine which WECS range is the most suitable investment with the shortest payback period. Finally, an economically viable and profitable wind energy system is recommended.

APA, Harvard, Vancouver, ISO, and other styles

21

Centhil Kumar, C., and I. Jacob Raglend. "A MPPT strategy based on cuckoo search for wind energy conversion system." International Journal of Engineering & Technology 7, no. 4 (September 17, 2018): 2298. http://dx.doi.org/10.14419/ijet.v7i4.17366.

Full text

Abstract:

The WECS based Doubly Fed Induction Generator (DFIG) system is presented in this paper which includes different MPPT control strategies for a grid connected system. The GSC gives the flow of power from the rotor part of DFIG up to the grid and the modulation of DC voltage. Here the cuckoo search algorithm based on MPPT is designed, to obtain a higher power from the changing speed wind turbine. The algorithms such as Perturb and Observe (P&O), Proportional Integral (PI) control and Fuzzy Logic Controller (FLC) are compared and their performances are evaluated. To design and develop the cuckoo search optimization based on MPPT for WECS, and to obtain optimum voltage regulation and power, thus improving the working performance, reducing the domain time and minimizing the performance indices. To simulate the different MPPT control methods, MATLAB/Simulink environment is used here.

APA, Harvard, Vancouver, ISO, and other styles

22

Salgado-Herrera, Nadia Maria, David Campos-Gaona, Olimpo Anaya-Lara, Miguel Robles, Osvaldo Rodríguez-Hernández, and Juan Ramón Rodríguez-Rodríguez. "THD Reduction in Distributed Renewables Energy Access through Wind Energy Conversion System Integration under Wind Speed Conditions in Tamaulipas, Mexico." Energies 12, no. 18 (September 17, 2019): 3550. http://dx.doi.org/10.3390/en12183550.

Full text

Abstract:

In this article, a technique for the reduction of total harmonic distortion (THD) in distributed renewables energy access (DREA) composed of wind turbines is introduced and tested under the wind speed conditions presented in Tamaulipas, Mexico. The analysis and simulation are delimited by a study case based on wind speeds measured and recorded for one year at two highs in the municipality of Soto La Marina, Tamaulipas, Mexico. From this information, the most probable wind speed and the corresponding turbulence intensity is calculated and applied to a wind energy conversion system (WECS). The WECS is composed of an active front-end (AFE) converter topology using four voltage source converters (VSCs) connected in parallel with a different phase shift angle at the digital sinusoidal pulse width modulation (DSPWM) signals of each VSC. The WECS is formed by the connection of five type-4 wind turbines (WTs). The effectiveness and robustness of the DREA integration are reviewed in the light of a complete mathematical model and corroborated by the simulation results in Matlab-Simulink®. The results evidence a reduction of the THD in grid currents up to four times and which enables the delivery of a power capacity of 10 MVA in the Tamaulipas AC distribution grid that complies with grid code of harmonic distortion production.

APA, Harvard, Vancouver, ISO, and other styles

23

Koay, Ying Ying, Jian Ding Tan, Siaw Paw Koh, Kok Hen Chong, Sieh Kiong Tiong, and Janaka Ekanayake. "Optimization of wind energy conversion systems – an artificial intelligent approach." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 2 (June 1, 2020): 1040. http://dx.doi.org/10.11591/ijpeds.v11.i2.pp1040-1046.

Full text

Abstract:

The environmentally friendly wind energy conversion system has become one of the most studied branches of sustainable energy. Like many other power generator, maximum power point tracking is an easy yet effective way to boost the efficiency of the conversion system. In this research, a modified Electromagnetism-like Mechanism Algorithm (EM) is proposed for the maximum power point tracking (MPPT) scheme of a micro-wind energy conversion system (WECS). In contrast with the random search steps used in a conventional EM, modified EM is enhanced with a Split, Probe, and Compare (SPC-EM) feature which ensures solutions with higher accuracies quicker by not having to scrutinize the search in details at the beginning stages of the iterations. Experiments and simulations are carried to test the SPC-EM in tracking the maximum power point under different wind profiles. Results indicate that the performance of the modified EM showed significant improvement over the conventional EM in the benchmarking. It can thus be concluded that based on the simulations, the SPC-EM performs well as an MPPT scheme in a micro-WECS.

APA, Harvard, Vancouver, ISO, and other styles

24

Giaourakis, Dimitrios G., Athanasios Safacas, and Savvas Tsotoulidis. "Simulation of a Double-Fed Induction Generator Wind Energy Conversion System under Healthy and Faulty Conditions." Advanced Materials Research 875-877 (February 2014): 1771–76. http://dx.doi.org/10.4028/www.scientific.net/amr.875-877.1771.

Full text

Abstract:

In this paper, the operation of a wind energy conversion system (WECS) incorporating a Double-Fed Induction Generator (DFIG), under various wind speeds and faulty conditions, is investigated through simulation. In this study the simulation of such a system (DFIG-WECS) was held by using the software Matlab/Simulink.. The simulation results are presented and evaluated for the issues of fault diagnosis and identification. More specifically, a DFIG-WECS has been simulated under various wind speeds and when a short-circuit occurs in the back-to-back converter and in the DC link from the point of view of these issues. In this work, it has been concluded that the investigated faults have caused a specific and unique harmonic content in grid, rotor and stator phase currents, which could be used for fault diagnosis and identification.

APA, Harvard, Vancouver, ISO, and other styles

25

Mwaniki, Julius, Hui Lin, and Zhiyong Dai. "A Concise Presentation of Doubly Fed Induction Generator Wind Energy Conversion Systems Challenges and Solutions." Journal of Engineering 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/4015102.

Full text

Abstract:

There is increased worldwide wind power generation, a large percentage of which is grid connected. The doubly fed induction generator (DFIG) wind energy conversion system (WECS) has many merits and, as a result, large numbers have been installed to date. The DFIG WECS operation, under both steady state and fault conditions, is of great interest since it impacts on grid performance. This review paper presents a condensed look at the various applied solutions to the challenges of the DFIG WECS including maximum power point tracking, common mode voltages, subsynchronous resonance, losses, modulation, power quality, and faults both internal and from the grid. It also looks at approaches used to meet the increasingly stringent grid codes requirements for the DFIG WECS to not only ride through faults but also provide voltage support. These are aspects of the DFIG WECS that are critical for system operators and prospective investors and can also serve as an introduction for new entrants into this area of study.

APA, Harvard, Vancouver, ISO, and other styles

26

Jia, Gui Xi, Hui Chao Zhao, and Chang Xiang Wang. "Position Sensorless Control of PMSG in Wind Energy Conversion System." Applied Mechanics and Materials 121-126 (October 2011): 4048–52. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.4048.

Full text

Abstract:

This paper presents a position sensorless operating method in WECS (Wind Energy Conversion System) based on PMSG (Permanent Magnet Synchronous Generator). A position sensorless operating method for direct-drive PMSG using sliding mode observer is proposed. With this method, position angles can be estimated only by measuring phase voltages and currents. By analyzing the cause of angle error, which increases when the PMSG is operating at high speed, a new dynamic angular compensation solution is developed. This method proves to be effective and necessary by experiments based on simulink.

APA, Harvard, Vancouver, ISO, and other styles

27

Kaewpraek, Nikorn, and Wudhichai Assawinchaichote. "Control of PMSG Wind Energy Conversion System with TS Fuzzy State-Feedback Controller." Applied Mechanics and Materials 446-447 (November 2013): 728–32. http://dx.doi.org/10.4028/www.scientific.net/amm.446-447.728.

Full text

Abstract:

This paper presents a Takagi-Sugeno (TS) fuzzy state-feedback controller based on a linear matrix inequality (LMI) approach for the permanent magnet synchronous generator of wind energy conversion system (PMSG-WECS). A dc/dc converter is considered to regulate the maximum power output of the system. To show its effectiveness, the dynamic model is replaced by the TS fuzzy model, which the proposed controller can be applied to the PMSG-WECS, while the controller gains can be obtained by solving set of a LMI approach. The proposed controller guarantees the stability of the system. Therefore, the performance of the proposed TS fuzzy state-feedback controller is assessed through the computer simulation.

APA, Harvard, Vancouver, ISO, and other styles

28

Wu, Wang. "Application of Direct Feedback Linearization Control for Permanent Magnet Synchronous Generator Based Wind Energy Conversion System." Applied Mechanics and Materials 313-314 (March 2013): 571–76. http://dx.doi.org/10.4028/www.scientific.net/amm.313-314.571.

Full text

Abstract:

Direct feedback linearization control was applied to permanent magnet synchronous generator (PMSG) wind energy conversion system (WECS), which was to reduce the cost of wind energy conversion system and improve its performance. The PMSG-based wind energy conversion system was constructed with mathematical models of aerodynamics subsystem, drive train subsystem and simplified electromagnetic subsystem. With feedback linearization control theory based on differential geometry, the coordinated transformation and nonlinear state feedback were obtained and PMSG wind energy conversion system was linearized. With MATLAB/Simulink platform, the model and control strategy was established and the simulation result shows this control system with feasible speed tracking performance, which can effectively implement maximum energy capture.

APA, Harvard, Vancouver, ISO, and other styles

29

Fatima Zohra, Arama, Bousserhane Ismail Khalil, Laribi Slimane, Sahli Youcef, and Mazari Benyounes. "Artificial Intelligence Control Applied in Wind Energy Conversion System." International Journal of Power Electronics and Drive Systems (IJPEDS) 9, no. 2 (June 1, 2018): 571. http://dx.doi.org/10.11591/ijpeds.v9.i2.pp571-578.

Full text

Abstract:

The objective of this paper is to study the dynamic response of the wind energy conversion system (WECS) based on the Doubly Fed Induction Generator (DFIG). The DFIG rotor is connected to the grid via a converter. The active and reactive power control is realized by the DFIG rotor variables control, using the field oriented control (FOC). The vector control of DFIG is applied by the use of tow regulators PI and the neural network regulator (NN). The generator mathematical model is implemented in Matlab/ Simulink software to simulate a DFIG of 1.5 MW in order to show the efficiency of the performances and robustness of the studied control systems. The simulation obtained results shows that the robustness and response time of the neural network regulator is better than those obtained by the PI classical regulator.

APA, Harvard, Vancouver, ISO, and other styles

30

Senthilnathan, Karthikrajan, and K. Iyswarya Annapoorani. "A Review on Back-to-Back Converters in Permanent Magnet Synchronous Generator based Wind Energy Conversion System." Indonesian Journal of Electrical Engineering and Computer Science 2, no. 3 (June 1, 2016): 583. http://dx.doi.org/10.11591/ijeecs.v2.i3.pp583-591.

Full text

Abstract:

This paper presents a review on the application of back-to-back converters in the field of Permanent Magnet Synchronous Generator (PMSG) based Wind Energy Conversion Systems (WECS). The wide applications of the back-to-back converters are power conditioning devices, micro grid, High Voltage Direct Current (HVDC), Renewable energy systems. The intention is to present an overview about the design considerations taken by various researchers in back-to-back converters in the field of Wind Energy Conversion Systems (WECS) and recent developments on it. Generally the configuration of back-to-back converters used are 12 pulse Voltage Source Converters (VSC), 12 pulse Current Source Converter (CSC), 9 Pulse Voltage Source Converter.

APA, Harvard, Vancouver, ISO, and other styles

31

Hao, Wang Shen, Xin Min Dong, Jie Han, and Ling Jun Li. "Study on Remote Condition Monitoring Platform in Wind Energy Conversion Systems Based on AJAX Technology." Applied Mechanics and Materials 66-68 (July 2011): 1362–67. http://dx.doi.org/10.4028/www.scientific.net/amm.66-68.1362.

Full text

Abstract:

There is a constant need for the reduction of operational and maintenance costs of Wind Energy Conversion System (WECS). The most efficient way of reducing these costs would be to continuously monitor the condition of these systems, which allows for early detection of the degeneration of the generator health, facilitating a proactive response, minimizing downtime, and maximizing productivity. Wind generators are also inaccessible since they are situated on extremely high towers, which are usually 70m more in height. There are also plans to increase the number of offshore sites increasing the need for a remote means of WECS monitoring that overcomes some of the difficulties of accessibility problems. Therefore it is important of condition monitoring and fault diagnosis in WECS. A monitoring scheme of transfer its monitor status with AJAX technology was put forwords in this paper. A remote condition monitoring platform (RCMP) was designed and constructed in this project. And its result brings us an effective solution to deal with the WECS condition monitoring.

APA, Harvard, Vancouver, ISO, and other styles

32

Toual, Belgacem, Lakhdar Mokrani, Abdellah Kouzou, and Mohamed Machmoum. "Power Quality and Capability Enhancement of a Wind-Solar-Battery Hybrid Power System." Periodica Polytechnica Electrical Engineering and Computer Science 64, no. 2 (January 7, 2020): 115–32. http://dx.doi.org/10.3311/ppee.14437.

Full text

Abstract:

The Adrar site located in the south of Algeria, presents the most important windy and sunny site in Algeria that can be exploited. In this context for the exploitation of the two complimentary sources of this site (wind and sun) based on the meteorological data, the present paper focuses on the study of a Hybrid System (HS) based on an interconnection between a Wind Energy Conversion System (WECS) and a Photovoltaic System (PVS) which is planted in the DC-link bus of the back-to-back converter feeding the Double Feed Induction Generator (DFIG) rotor of the WECS. The objective of using this proposed coupling topology is to exploit the two available complementary renewable sources in the same time, to enhance the exploitation rate of the un-resized WECS back-to-back converter which remains at low power in the weak wind case or in the synchronism case and to eliminate the PVS inverter. Consequently the overall cost of the HS can be reduced. On the other side, to solve the energy quality problem; a modified MPPT mode control technique is proposed and compared with two other conventional techniques, the first one uses the PVS to offset only the WECS power rapid fluctuations and the second one uses a Battery Storage Unit (BSU) to ensure the produced energy smoothing. This BSU plays also an interesting role to store the surplus of energy when the maximum power level of the WECS converter is reached in case of wind and/or irradiation abundances.

APA, Harvard, Vancouver, ISO, and other styles

33

Kumar, S. Bala, Samuel Kefale, and Azath M. "Comparison of Z-Source EZ-Source and TZ-Source Inverter Systems for Wind Energy Conversion." International Journal of Power Electronics and Drive Systems (IJPEDS) 9, no. 4 (December 1, 2018): 1693. http://dx.doi.org/10.11591/ijpeds.v9.i4.pp1693-1701.

Full text

Abstract:

In this paper, three different impedance source inverters: Z-source inverter, EZ- source inverter, TZ-Source for wind energy conversion system (WECS) were investigated. Total output power and THD of each of these systems are calculated. The proposed system can boost the output voltage effectively when the low output voltage of the generator is available at low wind speed. This system has higher performance, less components, increased efficiency and reduced cost. These features make the proposed TZSI based system suitable for the wind conversion systems. MATLAB simulink model for wind generator system is developed and simulation studies are successfully performed. The simulation is done using MATLAB and the simulation results are presented. This comparison shows that the TZ-source inverter is very promising for wind energy conversion system.

APA, Harvard, Vancouver, ISO, and other styles

34

Dursun, Emre Hasan, and Ahmet Afsin Kulaksiz. "Second-Order Fast Terminal Sliding Mode Control for MPPT of PMSG-based Wind Energy Conversion System." Elektronika ir Elektrotechnika 26, no. 4 (August 7, 2020): 39–45. http://dx.doi.org/10.5755/j01.eie.26.4.25762.

Full text

Abstract:

This article proposes a new maximum power point tracking (MPPT) controller based on voltage-mode Second-Order Fast Terminal Sliding Mode Control (SO-FTSMC) to obtain better performance in the power extraction from Permanent Magnet Synchronous Generator (PMSG)-based Wind Energy Conversion System (WECS). The major objective of the study is the design of SO-FTSMC that can ensure the operation of the system in maximum power reference with higher efficiency, less steady-state error, and voltage fluctuation. Maximum power references are determined by mechanical sensorless MPPT approach. The small-scale WECS configuration incorporates wind turbine, PMSG, uncontrolled rectifier, boost converter, and MPPT controller. SO-FTSMC method has not been performed before as a voltage regulator in such a topology. The proposed controller has been validated for two different wind speed test scenarios in simulation environment, which can be applied effectively to PMSG-based WECS. Moreover, Conventional SMC (C-SMC) is created and then performance of controllers is compared in these wind speed scenarios according to maximum extracted average power, output voltage fluctuation, and voltage error in steady-state, MPPT efficiency, and performance indices. Obtained results indicate that proposed SO-FTSMC-based MPPT controller achieves superior performance.

APA, Harvard, Vancouver, ISO, and other styles

35

Chang, Wen Yeau. "Comparison of Three Short Term Wind Power Forecasting Methods." Advanced Materials Research 684 (April 2013): 671–75. http://dx.doi.org/10.4028/www.scientific.net/amr.684.671.

Full text

Abstract:

An accurate forecasting method for wind power generation of the wind energy conversion system (WECS) is urgent needed under the relevant issues associated with the high penetration of wind power in the electricity system. This paper presents a comparison of three forecasting approaches on short term wind power generation of WECS. Three forecasting methods, namely, persistence method, back propagation neural network method, and radial basis function (RBF) neural network method, are investigated. To demonstrate the performance of three methods, the methods are tested on the practical information of wind power generation of a WECS. The performance is evaluated based on two indexes, namely, maximum absolute error and mean absolute error.

APA, Harvard, Vancouver, ISO, and other styles

36

Pratap, Alok, Naomitsu Urasaki, and Tomonobu Senju. "Control Strategies for Smoothing of Output Power of Wind Energy Conversion Systems." International Journal of Emerging Electric Power Systems 14, no. 6 (October 12, 2013): 525–34. http://dx.doi.org/10.1515/ijeeps-2012-0030.

Full text

Abstract:

Abstract This article presents a control method for output power smoothing of a wind energy conversion system (WECS) with a permanent magnet synchronous generator (PMSG) using the inertia of wind turbine and the pitch control. The WECS used in this article adopts an AC–DC–AC converter system. The generator-side converter controls the torque of the PMSG, while the grid-side inverter controls the DC-link and grid voltages. For the generator-side converter, the torque command is determined by using the fuzzy logic. The inputs of the fuzzy logic are the operating point of the rotational speed of the PMSG and the difference between the wind turbine torque and the generator torque. By means of the proposed method, the generator torque is smoothed, and the kinetic energy stored by the inertia of the wind turbine can be utilized to smooth the output power fluctuations of the PMSG. In addition, the wind turbines shaft stress is mitigated compared to a conventional maximum power point tracking control. Effectiveness of the proposed method is verified by the numerical simulations.

APA, Harvard, Vancouver, ISO, and other styles

37

Shchur, Ihor, Vsevolod Shchur, Ihor Bilyakovskyy, and Mykhailo Khai. "Hardware in the loop simulative setup for testing the combined heat power generating wind turbine." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 1 (March 1, 2021): 499. http://dx.doi.org/10.11591/ijpeds.v12.i1.pp499-510.

Full text

Abstract:

This paper describes the design and implementation of hardware in the loop (HIL) system based on induction motor wind turbine emulator for the study of the operation of a combined heat-power (CHP) generating wind energy conversion system (WECS). The energy generation part of the WECS consists of two specially designed generators that are placed on a common vertical axis, which is connected to the induction motor through a gearbox. The first generator is an electric two-armature axial PMSG and the second one is a thermal electromagnetic retarder. The software part of the HIL setup simulates the interaction of the wind flow with a vertical axis wind turbine (VAWT) and is implemented in a programmable logic controller based on the model developed in the MATLAB/Simulink. The results of experimental studies of the CHP WECS with the created HIL simulative setup at both constant and turbulent wind speeds have shown good agreement with the corresponding results of computer simulation. The created HIL simulative setup will be used for the development of an energy management system for CHP WECS.

APA, Harvard, Vancouver, ISO, and other styles

38

Jacobs, E. W. "Research Results for the Tornado Wind Energy System: Analysis and Conclusions." Journal of Solar Energy Engineering 107, no. 1 (February 1, 1985): 78–87. http://dx.doi.org/10.1115/1.3267659.

Full text

Abstract:

The Tornado Wind Energy System (TWES) concept utilizes a wind-driven vortex confined by a hollow tower to create a low-pressure core intended to serve as a turbine exhaust reservoir. The turbine inlet flow is provided by a separate ram air supply. Numerous experimental and analytical research efforts have investigated the potential of the TWES as a wind energy conversion system (WECS). The present paper summarizes and analyzes much of the research to date on the TWES. A simplified cost analysis incorporating these research results is also included. Based on these analyses, the TWES does not show any significant promise of improving on either the performance or the cost of energy attainable by conventional WECS. The prospects for achieving either a system power coefficient above 0.20 or a cost of energy less than $0.50/kWh (1979 dollars) appear to be poor.

APA, Harvard, Vancouver, ISO, and other styles

39

N. S., Jayalakshmi, D. N. Gaonkar, and Sanchit Kumar Jain. "Power smoothing method of PMSG based grid integrated wind energy conversion system using BESS/DSTATCOM." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 4 (December 1, 2019): 1969. http://dx.doi.org/10.11591/ijpeds.v10.i4.pp1969-1976.

Full text

Abstract:

The output of the PMSG based wind energy conversion system (WECS) is fluctuating in nature due to intermittency of wind speed. The distribution static synchronous compensator (DSTATCOM) incorporated with the battery energy storage system (BESS) is used to smooth the power produced from wind generator system. The control strategy of BESS/DSTATCOM and its integration to mitigate the power fluctuations of grid connected WECS is presented. Three-leg three-phase voltage source converter (VSC) based DSTATCOM is used and the battery current is controlled to smooth the net power injected to the utility grid from wind power generation system. The control strategy implemented has the capability of supplying the required amount of power to the utility with help of batteries. The PQ control strategy is employed to control the three-phase inverter for managing power exchange with the utility grid. The real time wind speed data is considered for the simulation study of the system. The effectiveness of the control strategy of the system is validated through the simulation results in MATLAB/Simulink environment.

APA, Harvard, Vancouver, ISO, and other styles

40

Talebi, Nasser, Mohammad Ali Sadrnia, and Ahmad Darabi. "Robust Fault Detection of Wind Energy Conversion Systems Based on Dynamic Neural Networks." Computational Intelligence and Neuroscience 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/580972.

Full text

Abstract:

Occurrence of faults in wind energy conversion systems (WECSs) is inevitable. In order to detect the occurred faults at the appropriate time, avoid heavy economic losses, ensure safe system operation, prevent damage to adjacent relevant systems, and facilitate timely repair of failed components; a fault detection system (FDS) is required. Recurrent neural networks (RNNs) have gained a noticeable position in FDSs and they have been widely used for modeling of complex dynamical systems. One method for designing an FDS is to prepare a dynamic neural model emulating the normal system behavior. By comparing the outputs of the real system and neural model, incidence of the faults can be identified. In this paper, by utilizing a comprehensive dynamic model which contains both mechanical and electrical components of the WECS, an FDS is suggested using dynamic RNNs. The presented FDS detects faults of the generator's angular velocity sensor, pitch angle sensors, and pitch actuators. Robustness of the FDS is achieved by employing an adaptive threshold. Simulation results show that the proposed scheme is capable to detect the faults shortly and it has very low false and missed alarms rate.

APA, Harvard, Vancouver, ISO, and other styles

41

Hendrawati, Dwiana, Adi Soeprijanto, and Mochamad Ashari. "High Performance Maximum Power Point Tracking on Wind Energy Conversion System." International Journal of Power Electronics and Drive Systems (IJPEDS) 8, no. 3 (September 1, 2017): 1359. http://dx.doi.org/10.11591/ijpeds.v8.i3.pp1359-1367.

Full text

Abstract:

This paper presents the maximum power point tracking (MPPT) to extract the power of wind energy conversion system (WECS) using the Firefly Algorithm (FA) algorithm. This paper aims to present the FA as one of the accurate algorithms in MPPT techniques. Recently, researchers tend to apply the MPPT digital technique with the P n O algorithm to track MPP. On the other hand, this Paper implements the FA included in the digital classification to improve the performance of the MPPT technique. Therefore, the FA tracking results are verified with P n O to show the accuracy of the MPPT algorithm. The results obtained show that performance is higher when using the FA algorithm

APA, Harvard, Vancouver, ISO, and other styles

42

Goyal, Megha, Yuanyuan Fan, Arindam Ghosh, and Farhad Shahnia. "Techniques for a Wind Energy System Integration with an Islanded Microgrid." International Journal of Emerging Electric Power Systems 17, no. 2 (April 1, 2016): 191–203. http://dx.doi.org/10.1515/ijeeps-2015-0139.

Full text

Abstract:

Abstract This paper presents two different techniques of a wind energy conversion system (WECS) integration with an islanded microgrid (MG). The islanded microgrid operates in a frequency droop control where its frequency can vary around 50 Hz. The permanent magnet synchronous generator (PMSG) based variable speed WECS is considered, which converts wind energy to a low frequency ac power. Therefore it needs to be connected to the microgrid through a back to back (B2B) converter system. One way of interconnection is to synchronize the MG side converter with the MG bus at which it is connected. In this case, this converter runs at the MG frequency. The other approach is to bring back the MG frequency to 50 Hz using the isochronization concept. In this case, the MG side converter operates at 50 Hz. Both these techniques are developed in this paper. The proposed techniques are validated through extensive PSCAD/EMTDC simulation studies.

APA, Harvard, Vancouver, ISO, and other styles

43

Zhang, Hu, and Wu Wang. "Global Fast Terminal Sliding Mode Control for Wind Energy Conversion System." Advanced Materials Research 463-464 (February 2012): 1616–20. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.1616.

Full text

Abstract:

As for traditional sliding mode control (SMC) with linear sliding surface and the tracking error can’t convergent to zero in finite time, fast terminal sliding mode control (FTSMC) designed with introduction nonlinear function into sliding hyper-plane, which makes tracking error converge to zero in finite time. A global fast terminal sliding mode control (GFTSMC) was designed with SMC and FTSMC, the sliding surface of GFTSMC was designed and the control law was deduced, also the convergence time was computed and stability proved by Lyapunov theory. With simulation, the optimal sliding mode parameters was selected and applied this control strategy for wind energy conversion system (WECS), the simulation result shows this control system can realize optimal power tracking control for wind energy conversion system.

APA, Harvard, Vancouver, ISO, and other styles

44

A, Mutharasan, and Chandrasekar P. "Improvement of Wind Farm with PMSG using STATCOM." International Journal of Power Electronics and Drive Systems (IJPEDS) 7, no. 3 (September 1, 2016): 996. http://dx.doi.org/10.11591/ijpeds.v7.i3.pp996-1003.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

45

ARAMA, Fatima Zohra, Slimane LARIBI, and Touhami GHAITAOUI. "A Control Method using Artificial Intelligence in Wind Energy Conversion System." Algerian Journal of Renewable Energy and Sustainable Development 01, no. 01 (June 15, 2019): 60–68. http://dx.doi.org/10.46657/ajresd.2019.1.1.6.

Full text

Abstract:

This work presents a field-oriented control (FOC) of active and reactive power applied on Doubly Fed Induction Machine (DFIM) integrated in wind energy conversion system (WECS). The main objective of this work is to compare the performances of energy produced by the use of two types of controllers ( PI regulator and the neural network regulator (NN)) in order to control the wind power conversion system to compare their precision & robustness against the wind fluctuation and the impact on the quality of produced energy. A field oriented control of DEFIG stator is also presented to control the active and reactive power. To show the efficiency of the performances and the robustness of the two control methods those were analyzed and compared by simulation using Matlab/Simulink software. The results described the favoured method.

APA, Harvard, Vancouver, ISO, and other styles

46

Hammoumi, Dalila, Chakib El Bekkali, Mohammed Karim, Mohammed Taoussi, Najib El Ouanjli, and Badre Bossoufi. "Direct controls for wind turbine with PMSG used on the real wind profile of Essaouira-Morocco city." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 3 (December 1, 2019): 1229. http://dx.doi.org/10.11591/ijeecs.v16.i3.pp1229-1239.

Full text

Abstract:

This article presents the use of a permanent magnet synchronous generator (PMSG) for the wind energy production and electrical energy injection produced into an electrical grid. The objective is to perform modeling and direct control of the Wind Energy conversion System (WECS), taking into account the problems of wind speed variations and generator maintenance. The direct torque control (DTC) is applied to the machine-side converter and direct power control (DPC) is applied to the grid-side converter. The performance of WECS is tested in MATLAB / SIMULINK environment simulation with a real wind profile of Essaouira-Morroco city. The simulation results obtained show that the proposed direct controls provide high performance in terms of setpoint tracking, speed, stability and power quality.

APA, Harvard, Vancouver, ISO, and other styles

47

Ren, Mifeng, Jianhua Zhang, Ye Tian, and Guolian Hou. "A Neural Network Controller for Variable-Speed Variable-Pitch Wind Energy Conversion Systems Using Generalized Minimum Entropy Criterion." Mathematical Problems in Engineering 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/412027.

Full text

Abstract:

This paper considers the neural network controller design problem for variable pitch wind energy conversion systems (WECS) with non-Gaussian wind speed disturbances in the stochastic distribution control framework. The approach here is used to directly model the unknown control law based on a fixed neural network (the number of layers and nodes in a neural network is fixed) without the need to construct a separate model for the WECS. In order to characterize the randomness of the WECS, a generalized minimum entropy criterion is established to train connection weights of the neural network. For the train purpose, both kernel density estimation method and sliding window technique are adopted to estimate the PDF of tracking error and entropies. Due to the unknown process dynamics, the gradient of the objective function in a gradient-descent-type algorithm is estimated using an incremental perturbation method. The proposed approach is illustrated on a simulated WECS with non-Gaussian wind speed.

APA, Harvard, Vancouver, ISO, and other styles

48

Nguyen, Cao-Khang, Thai-Thanh Nguyen, Hyeong-Jun Yoo, and Hak-Man Kim. "Consensus-Based SOC Balancing of Battery Energy Storage Systems in Wind Farm." Energies 11, no. 12 (December 16, 2018): 3507. http://dx.doi.org/10.3390/en11123507.

Full text

Abstract:

Multiple battery energy storage systems (BESSs) are used to compensate for the fluctuation in wind generations effectively. The stage of charge (SOC) of BESSs might be unbalanced due to the difference of wind speed, initial SOCs, line impedances and capabilities of BESSs, which have a negative impact on the operation of the wind farm. This paper proposes a distributed control of the wind energy conversion system (WECS) based on dynamic average consensus algorithm to balance the SOC of the BESSs in a wind farm. There are three controllers in the WECS with integrated BESS, including a machine-side controller (MSC), the grid-side controller (GSC) and battery-side controller (BSC). The MSC regulates the generator speed to capture maximum wind power. Since the BSC maintains the DC link voltage of the back-to-back (BTB) converter that is used in the WECS, an improved virtual synchronous generator (VSG) based on consensus algorithm is used for the GSC to control the output power of the WECS. The functionalities of the improved VSG are designed to compensate for the wind power fluctuation and imbalance of SOC among BESSs. The average value of SOCs obtained by the dynamic consensus algorithm is used to adjust the wind power output for balancing the SOC of batteries. With the proposed controller, the fluctuation in the output power of wind generation is reduced, and the SOCs of BESSs are maintained equally. The effectiveness of the proposed control strategy is validated through the simulation by using a MATLAB/Simulink environment.

APA, Harvard, Vancouver, ISO, and other styles

49

Aguemon, Dourodjayé Pierre, Richard Gilles Agbokpanzo, and Frédéric Dubas. "Analysis on the Topology and Control of Power Electronics Converters for Wind Energy Conversion Systems." International Journal of Research and Review 8, no. 8 (August 9, 2021): 127–37. http://dx.doi.org/10.52403/ijrr.20210819.

Full text

Abstract:

Power Electronics converters become nowadays the most important part in Wind Energy Conversion Systems (WECS). They are an intermediate between the generator and grid to achieve low cost, high power density and reliability. This paper deals with the analysis on the topology and control of the most power Electronics Converters for generators using in WECS. Design, (dis)advantages, and market penetration are analyzed and discussed. The control includes maximum power point tracking, dc bus voltage control, balancing of the dc capacitor voltages, and reactive power generation are also analyzed. Simulations have been carried out using MATLAB/SIMULINK on the control strategies for the case of back to back converter with Pulse Width Modulation (PWM) demonstrating its good potential to meet the grid connection requirements. Keywords: Wind Energy Conversion Systems (WECS), power electronics converters, back to back converter, maximum power point tracking, Pulse Width Modulation (PWM).

APA, Harvard, Vancouver, ISO, and other styles

50

Sharma, Sohan. "Dynamic Performance Analysis of a Grid-Connected Doubly-Fed Induction Generator." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 14, 2021): 2340–52. http://dx.doi.org/10.22214/ijraset.2021.34533.

Full text

Abstract:

In the field of wind energy, the doubly fed induction generator (DFIG) is commonly used in variable speed wind energy conversion systems (WECS). This paper presents a review of various topologies, configurations, power converters and control schemes used with the operation of the DFIG. The operation of DFIG based on both slip ring and brushless arrangement has been discussed. The grid integration of DFIG and its influence on system stability, system reliability, power quality and power transmission is reviewed.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Wind energy conversion system (WECS)'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles