scholarly journals A Review of Approaches for the Detection and Treatment of Outliers in Processing Wind Turbine and Wind Farm Measurements

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4228
Author(s):  
Mingzhe Zou ◽  
Sasa Z. Djokic

Due to the significant increase of the number of wind-based electricity generation systems, it is important to have accurate information on their operational characteristics, which are typically obtained by processing large amounts of measurements from the individual wind turbines (WTs) and from the whole wind farms (WFs). For further processing of these measurements, it is important to identify and remove bad quality or abnormal data, as otherwise obtained WT and WF models may be biased, or even inaccurate. There are wide ranges of both causes and manifestations of these bad/abnormal data, which are often denoted with the common general term “outlier”. This paper reviews approaches for the detection and treatment of outliers in processing WT and WF measurements, starting from the discussion of the commonly measured parameters, variables and resolutions, as well as the corresponding requirements and recommendations in related standards. Afterwards, characteristics and causes of outliers reported in existing literature are discussed and illustrated, as well as the requirements for the data rejection in related standard. Next, outlier identification methods are reviewed, followed by a review of approaches for testing the success of outlier removal procedures, with a discussion of their potential negative effects and impact on the WT and WF models. Finally, the paper indicates some issues and concerns that could be of interests for the further research on the detection and treatment of outliers in processing WT and WF measurements.

Author(s):  
Margarita Martínez-Díaz ◽  
Ignacio Pérez Pérez

Most algorithms trying to analyze or forecast road traffic rely on many inputs, but in practice, calculations are usually limited by the available data and measurement equipment. Generally, some of these inputs are substituted by raw or even inappropriate estimations, which in some cases come into conflict with the fundamentals of traffic flow theory. This paper refers to one common example of these bad practices. Many traffic management centres depend on the data provided by double loop detectors, which supply, among others, vehicle speeds. The common data treatment is to compute the arithmetic mean of these speeds over different aggregation periods (i.e. the time mean speeds). Time mean speed is not consistent with Edie’s generalized definitions of traffic variables, and therefore it is not the average speed which relates flow to density. This means that current practice begins with an error that can have negative effects in later studies and applications. The algorithm introduced in this paper enables easily the estimation of space mean speeds from the data provided by the loops. It is based on two key hypotheses: stationarity of traffic and log-normal distribution of the individual speeds in each time interval of aggregation. It could also be used in case of transient traffic as a part of any data fusion methodology.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3208 


2018 ◽  
Vol 42 (6) ◽  
pp. 547-560 ◽  
Author(s):  
Fa Wang ◽  
Mario Garcia-Sanz

The power generation of a wind farm depends on the efficiency of the individual wind turbines of the farm. In large wind farms, wind turbines usually affect each other aerodynamically at some specific wind directions. Previous studies suggest that a way to maximize the power generation of these wind farms is to reduce the generation of the first rows wind turbines to allow the next rows to generate more power (coordinated case). Yet, other studies indicate that the maximum generation of the wind farm is reached when every wind turbine works at its individual maximum power coefficient CPmax (individual case). This article studies this paradigm and proposes a practical method to evaluate when the wind farm needs to be controlled according to the individual or the coordinated case. The discussion is based on basic principles, numerical computations, and wind tunnel experiments.


2017 ◽  
Author(s):  
Roozbeh Bakhshi ◽  
Peter Sandborn

Yaw error is the angle between a turbine’s rotor central axis and the wind flow. The presence of yaw error results in lower power production from turbines. Yaw error also puts extra loads on turbine components, which in turn, lowers their reliability. In this study we develop a stochastic model to calculate the average capacity factor of a 50 turbine offshore wind farm and investigate the effects of minimizing the yaw error on the capacity factor. In this paper, we define the capacity factor in terms of energy production, which is consistent with the common practice of wind farms (rather than the power production capacity factor definition that is used in textbooks and research articles). The benefit of using the energy production is that it incorporates both the power production improvements and downtime decreases. For minimizing the yaw error, a nacelle mounted LIDAR is used. While the LIDAR is on a turbine, it collects wind speed and direction data for a period of time, which is used to calculate a correction bias for the yaw controller of the turbine, then it will be moved to another turbine in the farm to perform the same task. The results of our investigation shows that although the improvements of the capacity factor are less than the theoretical values, the extra income from the efficiency improvements is larger than the cost of the LIDAR.


Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1164 ◽  
Author(s):  
Julian Barreiro-Gomez ◽  
Carlos Ocampo-Martinez ◽  
Fernando Bianchi ◽  
Nicanor Quijano

In wind farms, the interaction between turbines that operate close by experience some problems in terms of their power generation. Wakes caused by upstream turbines are mainly responsible of these interactions, and the phenomena involved in this case is complex especially when the number of turbines is high. In order to deal with these issues, there is a need to develop control strategies that maximize the energy captured from a wind farm. In this work, an algorithm that uses multiple estimated gradients based on measurements that are classified by using a simple distributed population-games-based algorithm is proposed. The update in the decision variables is computed by making a superposition of the estimated gradients together with the classification of the measurements. In order to maximize the energy captured and maintain the individual power generation, several constraints are considered in the proposed algorithm. Basically, the proposed control scheme reduces the communications needed, which increases the reliability of the wind farm operation. The control scheme is validated in simulation in a benchmark corresponding to the Horns Rev wind farm.


2021 ◽  
Vol 6 (2) ◽  
pp. 61-68
Author(s):  
Adela P. Balasa ◽  
Ghadeer Saif Khamis Al-Mashaikhi ◽  
Noorol Shaiful Fitri Abdul Rahman

This study focuses on explaining the concept of farmers' cooperatives which contribute to raising the Omani economy, achieving security and food balance, and contributing to the eradication of poverty, hunger and unemployment. The aim of this paper is to find areas of deficiency concerning the implementation of farmer cooperatives in Oman. The study follows the philosophy of realism, as it is delivering real and accurate information. The text uses a mixed method by combining qualitative and quantitative. The research uses questionnaire showing the responses of farmers and ordinary people to collect the data. In addition, an interview showing the importance and the factor of implementing farmer cooperatives. This study uses interviews and questionnaire to gather the data needed to fill the gaps. The findings of this research add deep discovery to the previous studies, regarding the unawareness and knowledge among farmers about the importance, causes and positive effects of cooperatives among farmers and the negative effects that may occur to farmers for refusing to enter farmers' cooperatives and the factors of implementing farmer’s cooperatives. Additional research in this topic is needed for full understanding of making strong relationships and trust between farmers, which convince them to join farmers' cooperatives. The value of this study lies in raising the level of farmer's cooperatives in Oman because of its invaluable role in improving livelihoods, achieving sustainable development, increasing profitability and increasing productive efficiency by finding the common reasons that prevent farmers to join these cooperatives.


Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3152
Author(s):  
Stoyan Kanev

Active wake control (AWC) is an operational strategy for wind farms that aims at reducing the negative effects of wakes behind wind turbines on the power production and mechanical loads at the wind turbines’ downstream. For a given wind direction, the strategy relies on collaborative control of the machines within each row of turbines that affect each other through their wakes. The vast amount of research performed during the last decade indicates that the potential upside of this technology on the annual energy production of a wind farm can be as high as a few percentage points. Although these predictions on the potential benefits are quite significant, they typically assume full availability of all turbines within a row operating under AWC. However, even though the availability of offshore wind turbines is nowadays quite high (as high as 95%, or even higher), the availability of a whole row of turbines is shown to be much lower (lower than 60% for a row of ten turbines). This paper studies the impact of turbine downtime on the power production increase from AWC, and concludes that the AWC is robust enough to be kept operational in the presence of turbines standing still.


2015 ◽  
Vol 1092-1093 ◽  
pp. 248-253
Author(s):  
Han Ping Xu ◽  
Xia Chen ◽  
Wang Xiang ◽  
Jin Yu Wen

This paper proposed the line-commutated converter based multi-terminal HVDC (LCC-MTDC) combining with the static synchronous compensator (STATCOM) for doubly-fed induction generator (DFIG) based wind farms integration with bulk wind power transmission over long distance. This paper is aimed at the control strategy design and the operational characteristics research of LCC-MTDC for wind power transmission. Then, the control methodologies of the complex integration system are addressed from two aspects: the MTDC and the wind farm. The coordination control strategy is developed to ensure the stable operation of the MTDC system and the wind farm controller is designed to capture the maximum wind power and ensure all the wind power transferred into the MTDC. Simulation results in PSCAD/EMTDC show that LCC-MTDC could achieve desirable operational performances with the control strategy proposed.


2014 ◽  
Vol 543-547 ◽  
pp. 647-652
Author(s):  
Ye Zhou Hu ◽  
Lin Zhang ◽  
Pai Liu ◽  
Xin Yuan Liu ◽  
Ming Zhou

Large scale wind power penetration has a significant impact on the reliability of the electric generation systems. A wind farm consists of a large number of wind turbine generators (WTGs). A major difficulty in modeling wind farms is that the WTG not have an independent capacity distribution due to the dependence of the individual turbine output on the same energy source, the wind. In this paper, a model of the wind farm output power considering multi-wake effects is established according to the probability distribution of the wind speed and the characteristic of the wind generator output power: based on the simple Jenson wake effect model, the wake effect with wind speed sheer model and the detail wake effect model with the detail shade areas of the upstream wind turbines are discussed respectively. Compared to the individual wake effect model, this model takes the wind farm as a whole and considers the multi-wakes effect on the same unit. As a result the loss of the velocity inside the wind farm is considered more exactly. Furthermore, considering the features of sequentially and self-correlation of wind speed, an auto-regressive and moving average (ARMA) model for wind speed is built up. Also the reliability model of wind farm is built when the output characteristics of wind power generation units, correlation of wind speeds among different wind farms, outage model of wind power generation units, wake effect of wind farm and air temperature are considered. Simulation results validate the effectiveness of the proposed models. These models can be used to research the reliability of power grid containing wind farms, wind farm capacity credit as well as the interconnection among wind farms


2016 ◽  
Vol 97 (4) ◽  
pp. 1197-1208 ◽  
Author(s):  
Beatriz Bolívar-Cimé ◽  
Addy Bolívar-Cimé ◽  
Sergio A. Cabrera-Cruz ◽  
Óscar Muñoz-Jiménez ◽  
Rafael Villegas-Patraca

Abstract Although many tropical countries have functional wind farms, most of the information on their impact on bat populations has come from temperate zones. Our study is based on a 5-year study (2009–2013) of bat captures using mist nets, acoustic recordings, and carcass searches at a wind farm in tropical southern Mexico. We investigated the composition of bat species, estimated the number of bat fatalities per turbine, and assessed the effect of the spatial attributes of vegetation cover near turbines on numbers of bat carcasses recovered by trophic guild. We recorded 29 bat species at the wind farm. The family Phyllostomidae was best represented in terms of number of species and individuals captured. Glossophaga soricina and G. morenoi exhibited the highest relative abundance, whereas Balantiopteryx plicata had the highest acoustic activity. We found 203 carcasses, including 73 Pteronotus davyi individuals (35.9%); other frequent species were Mormoops megalophylla, Molossus sinaloae, and Lasiurus intermedius. The total number of carcasses found within a year ranged from 17 to 83 (2012 and 2009, respectively), with the corrected estimates ranging from 410 to 1,980, or 4.18–20.20 fatalities/turbine. The number of carcasses recorded was positively correlated with secondary vegetation surrounding turbines but negatively correlated with agricultural fields. The spatial attributes of vegetation surrounding turbines influenced numbers of bat carcasses differentially depending on the bats’ trophic guild and habitat use. Contrary to findings from United States and Canadian wind farms, most of the carcasses observed in our study were resident species. Notably, the most commonly captured and acoustically active species were not the most commonly found in carcass searches. To obtain more accurate information about the most vulnerable species and how to reduce the impact on bat mortality, we advise the use of alternative monitoring methods in pre-construction studies. Aunque muchos países tropicales han promovido el establecimiento de parques eólicos en sus territorios, mucha de la información referente al impacto de esta actividad sobre las poblaciones de murciélagos proviene de zonas templadas. Usando datos de 5 años (2009–2013) de muestreos con redes de niebla, grabaciones acústicas, y búsquedas de cadáveres en un parque eólico al sur del trópico mexicano, investigamos la composición de especies de murciélagos, estimamos el número de cadáveres/turbina y evaluamos el efecto de los atributos espaciales de la vegetación que rodea a las turbinas sobre el número de cadáveres de murciélagos por gremio trófico. Registramos 29 especies de murciélagos en el parque, la familia Phyllostomidae fue la mejor representada en cuanto al número de especies e individuos capturados. Glossophaga soricina y G. morenoi fueron las especies con mayor abundancia relativa, mientras que Balantiopteryx plicata fue la especie con mayor actividad acústica. Se registraron 203 cadáveres de murciélagos en el parque eólico, el 35.9% pertenecían a Pteronotus davyi, otras especies frecuentes fueron Mormoops megalophylla, Molossus sinaloae y Lasiurus intermedius. El número total de cadáveres encontrado va de 17 a 83 (2012 y 2009 respectivamente), mientras que la estimación corregida va de 492–1,980, o 4.18–20.20 cadáveres/turbina. La cantidad de cadáveres estimada para los 5 años combinados es de 4,782. El área ocupada por vegetación secundaria alrededor de los aerogeneradores se relacionó significativa y positivamente con el número de cadáveres registrados. Nuestros resultados también indican que la ubicación de los aerogeneradores afecta de forma diferencial a las especies de murciélagos según sus gremios tróficos y uso de hábitat. Contrario a lo encontrado en parques eólicos de Estados Unidos y Canadá, los cadáveres de murciélagos registrados en el parque eólico tropical son de especies residentes, incluyendo aquellas que forman grandes colonias. Ya que algunas de las especies frecuentemente registradas en las redes y acústicamente, no fueron las que se encontraron frecuentemente en los cadáveres, sugerimos diversificar los métodos de monitoreo en estudios de pre-construcción para identificar las especies más vulnerables y tomar acciones que reduzcan el impacto sobre sus poblaciones.


Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6080
Author(s):  
Rosa María Regueiro-Ferreira ◽  
Xoán R. Doldán-García

This article identifies and characterizes the network of dominant businesses which owned wind farms in Galicia (Spain) from 1995 to 2017. This research contributes to reduce the research gap about identifying the investment groups involved and to appreciate the real size of the wind sector. The novelty of the research lies in identifying the network of real owners of wind farms through the application of Domhoff’s power structure analysis, normally used in the analysis of the power structure of corporations and political institutions. With this method, it is possible to observe how the individual wind farm companies are assessed as well as the matrix company, and/or the principal shareholders to which the farm belongs are identified. The article shows that the installed wind power in Galicia is owned by large energy firms with the participation of international investment funds as well, even though the smaller number of local companies in the sector were given favored status under the existing regulations. This study concludes that although there is no single worldwide model for wind promotion, a network of dominant owners has been formed, and that this network consists of energy companies, investment funds, financial institutions, and construction firms. It can be surmised that if the capital were of mostly Galician origin, this would facilitate a bigger reinvestment of the profits in the region.


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