Design and analysis of a Medium Voltage DC wind farm with a transformer-less wind turbine generator

2010 ◽  
Author(s):  
Maria Stefania Carmeli ◽  
Francesco Castelli-Dezza ◽  
Gabriele Marchegiani ◽  
Marco Mauri ◽  
Daniele Rosati
Keyword(s):  
Wind Turbine ◽  
Wind Farm ◽  
Turbine Generator ◽  
Medium Voltage ◽  
Wind Turbine Generator ◽  
Medium Voltage Dc

Grid Tripping and Re-connection: Full-scale Experimental Validation of a Dynamic Wind Turbine Model

2003 ◽  
Vol 27 (3) ◽  
pp. 205-213 ◽  
Author(s):  
Niels Raben ◽  
Martin Heyman Donovan ◽  
Erik Jørgensen ◽  
Jan Thisted ◽  
Vladislav Akhmatov
Keyword(s):  
Wind Turbine ◽  
Wind Power ◽  
Wind Farm ◽  
Power Grid ◽  
System Stability ◽  
Turbine Generator ◽  
Wind Turbine Generator ◽  
Shaft System ◽  
The Impact ◽  
Turbine Model

An experiment with tripping and re-connecting a MW wind turbine generator was carried out at the Nøjsomheds Odde wind farm in Denmark. The experimental results are used primarily to validate the shaft system representation of a dynamic wind turbine model. The dynamic wind turbine model is applied in investigations of power system stability with relation to incorporation of large amounts of wind power into the Danish power grid. The simulations and the measurements are found to agree. The experiment was part of a large R&D program started in Denmark to investigate the impact of the increasing capacity of wind power fed into the Danish power grid.

scholarly journals Fault Diagnosis Strategy for Wind Turbine Generator Based on the Gaussian Process Metamodel

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Dongmei Zhang ◽  
Jun Yuan ◽  
Jiang Zhu ◽  
Qingchang Ji ◽  
Xintong Zhang ◽  
...  
Keyword(s):  
Gaussian Process ◽  
Wind Turbine ◽  
Industrial Development ◽  
Wind Farm ◽  
Wind Farms ◽  
Maintenance Cost ◽  
Key Factors ◽  
Turbine Generator ◽  
System Availability ◽  
Wind Turbine Generator

To facilitate continuous development of the wind power industry, maintaining technological innovation and reducing cost per kilowatt hour of the electricity generated by the wind turbine generator system (WTGS) are effective measures to facilitate the industrial development. Therefore, the improvement of the system availability for wind farms becomes an important issue which can significantly reduce the operational cost. To improve the system availability, it is necessary to diagnose the system fault for the wind turbine generator so as to find the key factors that influence the system performance and further reduce the maintenance cost. In this paper, a wind farm with 200 MW installed capacity in eastern coastal plain in China is chosen as the research object. A prediction model of wind farm’s faults is constructed based on the Gaussian process metamodel. By comparing with actual observation results, the constructed model is proved able to predict failure events of the wind turbine generator accurately. The developed model is further used to analyze the key factors that influence the system failure. These are conducive to increase the running and maintenance efficiency in wind farms, shorten downtime caused by failure, and increase earnings of wind farms.

scholarly journals An application phase-modular rectifier applied to MMC with medium voltage based on wind turbine generator

2014 ◽  
Vol 3 (3) ◽  
pp. 378
Author(s):  
Narin Watanakul
Keyword(s):  
Power Control ◽  
Wind Turbine ◽  
Power Quality ◽  
Power Factor ◽  
Reactive Power ◽  
Current Phase ◽  
Unity Power Factor ◽  
Turbine Generator ◽  
Medium Voltage ◽  
Wind Turbine Generator

This paper proposes two stages of controller. First stage, direct power control (P-Q control) applied single-phase structure of multilevel modular converter (MMC) , multilevel cascaded H-Bridge inverter with 9-level SPWM injection to medium voltage (24kV) based on wind turbine generator (PMSG)rated capacity 25kVA. Second stage, three-phase PFC rectifier with phase-modular Y-rectifier, boosttype. The separate dc sources (DC-links) average voltage at 178V (Vdc1-Vdc12). This study is concerned with the application, operating, principle, and design example. The unity power factor operation of PMSG is realized by controlling of phase-modular Y-Rectifier system, and the current waveform distortion results increase of the lower harmonics distortion. The P-Q controller can make it possible of the grid line current phase by providing the direct instantaneous power control in the steady state under the active power and reactive power command. The data collected by PSIM and MATLAB simulation are used in comparison with the experimental tester of results. This provides guideline to further analyze and improvement energy efficiency and power quality in electrical system pertinent to wind turbine generator (PMSG). Keywords: Wind Turbine Generator, Permanent Magnet Synchronous Generator (PMSG), Phase-Modular Y-Rectifier, Cascaded H-Bridges, Modular Multilevel Converter (MMC), Power Quality, Unity Power Factor, Harmonics.

scholarly journals A Comprehensive Survey of Accurate and Efficient Aggregation Modeling for High Penetration of Large-Scale Wind Farms in Smart Grid

2019 ◽  
Vol 9 (4) ◽  
pp. 769 ◽  
Author(s):  
Fang Liu ◽  
Junjie Ma ◽  
Wendan Zhang ◽  
Min Wu
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Wind Power ◽  
Smart Grids ◽  
Wind Farm ◽  
Wind Farms ◽  
Turbine Generator ◽  
Wind Turbine Generator ◽  
High Penetration ◽  
Comprehensive Survey

As one of the important renewable energies, wind power has been exploited worldwide. Modeling plays an important role in the high penetration of wind farms in smart grids. Aggregation modeling, whose benefits include low computational complexity and high computing speed, is widely used in wind farm modeling and simulation. To contribute to the development of wind power generation, a comprehensive survey of the aggregation modeling of wind farms is given in this article. A wind farm aggregation model consists of three parts, respectively, the wind speed model, the wind turbine generator (WTG) model, and the WTG transmission system model. Different modeling and aggregation methods, principles, and formulas for the above three parts are introduced. First, the features and emphasis of different wind speed models are discussed. Then, the aggregated wind turbine generator (WTG) models are divided into single WTG and multi-WTG aggregation models, considering the aggregation of wind turbines and generators, respectively. The calculation methods for the wind conditions and parameters of different aggregation models are discussed. Finally, the WTG transmission model of the wind farm from the aggregation bus is introduced. Some research directions are highlighted in the end according to the issues related to the aggregation modeling of wind farms in smart grids.

scholarly journals Receding Horizon Optimization of Wind Farm Active Power Distribution with Power Tracking Error and Transmission Loss

Processes ◽  
2018 ◽  
Vol 6 (12) ◽  
pp. 259 ◽  
Author(s):  
Jingchun Chu ◽  
Ling Yuan ◽  
Zhongwei Lin ◽  
Wei Xu ◽  
Zhenyu Chen
Keyword(s):  
Wind Turbine ◽  
Power Distribution ◽  
Wind Farm ◽  
Transmission Loss ◽  
Tracking Error ◽  
Active Power ◽  
Receding Horizon ◽  
Turbine Generator ◽  
Set Point ◽  
Wind Turbine Generator

In this paper, a receding-horizon optimization strategy is introduced to optimize the wind farm active power distribution with power tracking error and transmission loss. Based on the wind farm transmission connections, a wind farm can be divided into clusters, in which the wind turbine generator systems connected to one booster station can be taken as one cluster, and different clusters connected from booster stations to the farm-level main transformer output the electric power to the grid. Thus, in the proposed strategy, the power tracking characteristic of the wind turbine generator system is modeled as a first-order system to quantify the power tracking error during the power tracking dynamic process, where the power transmission losses from wind turbine generator systems to booster stations are also modeled and considered in the optimization. The proposed strategy is applied to distribute the active power set-point within a cluster while the clusters’ set-point still follows the conventional strategy of the wind farm. Simulation results show significant improvement for both optimization targets of the proposed strategy.

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