Computational Studies of Voltage Regulation Provided by Wind Farms Through Reactive Power Control

Author(s):  
Alex Reis ◽  
Leandro Pains Moura ◽  
José Carlos de Oliveira

AbstractThe ever-growing demand for energy sources of low environmental impact has given a greater importance to wind farms in many countries. However, due to operational characteristics of these complexes, which are reflected into a variability of the energy produced and in the use of power electronic converters, the interaction between wind power plants and electrical networks shows itself to be an area of high investigative interest. In fact, among the various phenomena that exist, steady state voltage variations constitute a theme that is under the constant attention of electrical system operators. In this context, the present article is directed toward the analysis of a voltage regulation strategy aimed at wind power generation systems composed by synchronous machines and full converters. Once established the methodology that lead to an ancillary operation of the wind farm, the authors present results of computational simulations on ATP/EMTP platform that attest to the efficiency of the strategy.

Author(s):  
Nazha Cherkaoui ◽  
Abdelaziz Belfqih ◽  
Faissal El Mariami ◽  
Jamal Boukherouaa ◽  
Abdelmajid Berdai

<p class="Default">Nowadays, the use of the wind energy has known an important increase because it is clean and cheap. However, many technical issues could occur due to the integration of wind power plants into power grids. As a result, many countries have published grid code requirements that new installed wind turbines have to satisfy in order to facilitate its intergration to electrical networks. Among those requirements, the wind farms must be able to participate to ancillary services for instance voltage regulation and reactive power control. Nevertheless, in case of small wind farms having not the necessary reactive power capability to contribute to reactive power support, Flexible AC Transmission Systems (FACTS) devices could also be used to participate to reactive power support. In this paper, an optimization method based on particle swarm optimization (PSO) technique is presented. This method allows getting the optimal location and reactive power injection of both wind power plants (WPP) and synchronous var compensators (SVC) with the objective to improve the voltage profile and to minimize the active power losses. The IEEE 14 bus system and a 20 MW wind farm based doubly fed induction generator (DFIG) are used to validate the proposed algorithm. The simulation results are analysed and compared.</p>


Author(s):  
Azeddine Loulijat ◽  
Najib Ababssi ◽  
Mohammed Makhad

In the wind power area, Doubly Fed Induction Generator (DFIG) has many advantages due to its ability to provide power to voltage and constant frequency during rotor speed changes, which provides better wind capture as compared to fixed speed wind turbines (WTs). The high sensitivity of the DFIG towards electrical faults brings up many challenges in terms of compliance with requirements imposed by the operators of electrical networks. Indeed, in case of a fault in the network, wind power stations are switched off automatically to avoid damage in wind turbines, but now the network connection requirements impose stricter regulations on wind farms in particular in terms of Low Voltage Ride through (LVRT), and network support capabilities. In order to comply with these codes, it is crucial for wind turbines to redesign advanced control, for which wind turbines must, when detecting an abnormal voltage, stay connected to provide reactive power ensuring a safe and reliable operation of the network during and after the fault. The objective of this work is to offer solutions that enable wind turbines remain connected generators, after such a significant voltage drop. We managed to make an improvement of classical control, whose effectiveness has been verified for low voltage dips. For voltage descents, we proposed protection devices as the Stator Damping Resistance (SDR) and the CROWBAR. Finally, we developed a strategy of combining the solutions, and depending on the depth of the sag, the choice of the optimal solution is performed.


Author(s):  
Hever Alcahuaman ◽  
Juan Camilo Lopez ◽  
Daniel Dotta ◽  
Marcos J. Rider ◽  
Scott G. Ghiocel

Author(s):  
Mogaligunta Sankaraiah ◽  
Sanna Suresh Reddy ◽  
M Vijaya Kumar

<p>Wind is available with free of cost anywhere in the world, this wind can be used for power generation due to many advantages. This attracts the researchers to work on wind power plants. The presence of wind power plants on distribution system causes major influence on voltage controlled devices (VCDs) in terms of life of the devices. Therefore, this paper proposes grey wolf optimization method (GWO) together with forecasted load one day in advance. VCDs are on load tap changer (ULTC) and capacitors (CS), there are two main objectives first one is curtail of distribution network (DN) loss and second one is curtailing of ULTC and CS switching’s. Objectives are achieved by controlling the reactive power of DFIG in coordination with VCDs. The proposed method is planned and applied in Matlab/Simulink on 10KV practical system with DFIG located at different locations. To validate the efficacy of GWO, results are compared with conventional and dynamic programming methods without profane grid circumstances.</p>


2017 ◽  
Vol 109 ◽  
pp. 500-509 ◽  
Author(s):  
Kevin Schönleber ◽  
Carlos Collados ◽  
Rodrigo Teixeira Pinto ◽  
Sergi Ratés-Palau ◽  
Oriol Gomis-Bellmunt

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Jun Yang ◽  
Rui Zhang ◽  
Qiuye Sun ◽  
Huaguang Zhang

With the fast growth in the number and size of installed wind farms (WFs) around the world, optimal wind turbines (WTs) micrositing has become a challenge from both technological and mathematical points of view. An appropriate layout of wind turbines is crucial to obtain adequate performance with respect to the development and operation of the wind power plant during its life span. This work presents a fuzzy genetic algorithm (FGA) for maximizing the economic profitability of the project. The algorithm considers a new WF model including several important factors to the design of the layout. The model consists of wake loss, terrain effect, and economic benefits, which can be calculated by locations of wind turbines. The results demonstrate that the algorithm performs better than genetic algorithm, in terms of maximum values of net annual value of wind power plants and computational burden.


Author(s):  
Hannes M. Hapke ◽  
Karl R. Haapala ◽  
Zhaohui Wu ◽  
Ted K. A. Brekken

Power generation for the existing electrical grid is largely based on the combustion of fossil fuels. Global concerns have been raised regarding the environmental sustainability of the system due to life cycle impacts, including land losses from fuel extraction and impacts of combustion emissions. An approach to reduce carbon emissions of fossil fuel-based energy employs the conversion of wind energy to electrical energy. The work presented describes modern wind power plants and provides an environmental assessment of a representative wind park from a life cycle perspective. The empirical analysis uses commercially available data, as well as information from an existing wind power plant. The life cycle assessment (LCA) study for a modern wind farm in the northwestern U.S. found that environmental benefits of avoiding typical electricity production greatly outweigh the impacts due to wind turbine construction and maintenance. Effects of component reliability, varying capacity factors, and energy portfolio are explored.


Author(s):  
E.H. Camm ◽  
M. R. Behnke ◽  
O. Bolado ◽  
M. Bollen ◽  
M. Bradt ◽  
...  

Author(s):  
Reza Effatnejad ◽  
Mahdi Akhlaghi ◽  
Hamed Aliyari ◽  
Hamed Modir Zareh ◽  
Mohammad Effatnejad

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