scholarly journals Evaluation of Advanced Operation and Control of Distributed Wind Farms to Support Efficiency and Reliability

2012 ◽  
Vol 3 (4) ◽  
pp. 735-742 ◽  
Author(s):  
Andrew Keane ◽  
Paul Cuffe ◽  
Ellen Diskin ◽  
Daniel Brooks ◽  
Paul Harrington ◽  
...  
Keyword(s):  
Wind Farms ◽  
And Control ◽  
Efficiency And Reliability

scholarly journals Modeling and Control of VSC Based DC Connection for Active Stall Wind Farms to Grid

2006 ◽  
Vol 126 (5) ◽  
pp. 622-629 ◽  
Author(s):  
Florin Iov ◽  
Poul Sørensen ◽  
Anca Daniela Hansen ◽  
Frede Blaabjerg
Keyword(s):  
Wind Farms ◽  
Modeling And Control ◽  
And Control

scholarly journals False Alarms Analysis of Wind Turbine Bearing System

2020 ◽  
Vol 12 (19) ◽  
pp. 7867 ◽  
Author(s):  
Ana María Peco Chacón ◽  
Isaac Segovia Ramírez ◽  
Fausto Pedro García Márquez
Keyword(s):  
Wind Speed ◽  
Condition Monitoring ◽  
Wind Farms ◽  
Data Partitioning ◽  
False Alarms ◽  
Monitoring And Control ◽  
Condition Monitoring Systems ◽  
Mining Centers ◽  
Critical Components ◽  
And Control

Wind turbines are complex systems that use advanced condition monitoring systems for analyzing their health status. The gearbox is one of the most critical components due to its elevated downtime and failure rate. Supervisory Control and Data Acquisition systems are employed in wind farms for condition monitoring and control in real time. The volume and variety of the data require novel and robust techniques for data analysis. The main novelty of this work is the development of a new modelling of the temperature curve of the gearbox bearing versus wind speed to detect false alarms. An approach based on data partitioning and data mining centers is employed. The wind speed range is divided into intervals to increase the accuracy of the model, where the centers are considered representative samples in the modelling. A method based on the alarm detection is developed and studied together with the alarms report provided by a real case study. The results obtained allow the identification of critical alarm periods outside the confidence interval. It is validated that the study of alarm identification, pre-filtered data, state variable, and output power contribute to the detection of the false alarms.

scholarly journals Investigation of the K-Mg-Ca Sulfate System as Part of Monitoring Problematic Phase Formations in Renewable-Energy Power Plants

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5366
Author(s):  
Fiseha Tesfaye ◽  
Daniel Lindberg ◽  
Mykola Moroz ◽  
Leena Hupa
Keyword(s):  
Renewable Energy ◽  
Power Plants ◽  
Alkali Metals ◽  
Wind Farms ◽  
Biomass Combustion ◽  
Term Operation ◽  
Binary Phase Diagrams ◽  
Combustion Processes ◽  
And Control

Besides the widely applied hydropower, wind farms and solar energy, biomass and municipal and industrial waste are increasingly becoming important sources of renewable energy. Nevertheless, fouling, slagging and corrosion associated with the combustion processes of these renewable sources are costly and threaten the long-term operation of power plants. During a high-temperature biomass combustion, alkali metals in the biomass fuel and the ash fusion behavior are the two major contributors to slagging. Ash deposits on superheater tubes that reduce thermal efficiency are often composed of complex combinations of sulfates and chlorides of Ca, Mg, Na, and K. However, thermodynamic databases involving all the sulfates and chlorides that would favor a better understanding and control of the problems in combustion processes related to fouling, slagging and corrosion are not complete. In the present work, thermodynamic properties including solubility limits of some phases and phase mixtures in the K2SO4-(Mg,Ca)SO4 system were reviewed and experimentally investigated. Based on the new and revised thermochemical data, binary phase diagrams of the K2SO4-CaSO4 and K2SO4-MgSO4 systems above 400 °C, which are of interest in the combustion processes of renewable-energy power plants, were optimized.

An Analysis about Wind Farm Construction Based on the Perspective of the Development of Ecological Environment

2013 ◽  
Vol 772 ◽  
pp. 619-621
Author(s):  
Zi Wei Bai
Keyword(s):  
Wind Power ◽  
Electromagnetic Interference ◽  
Wind Farm ◽  
Wind Farms ◽  
Control Measures ◽  
Ecological Environment ◽  
Public Attention ◽  
Natural Landscape ◽  
And Control ◽  
The Impact

Advantages of wind power are self-evident, but the impact of wind power project on the local ecological environment and natural landscape is also increasingly subject to public attention. It mainly reflects in the visual pollution of the wind turbine (or natural landscape problems), noise, bird safety and electromagnetic interference. The paper analyzed the impact of wind farms on the environment, and recommended appropriate preventions and control measures to reduce it to an acceptable level.

Full-Load Converter Connected Asynchronous Generators for MW Class Wind Turbines

2005 ◽  
Vol 29 (4) ◽  
pp. 341-351 ◽  
Author(s):  
Vladislav Akhmatov
Keyword(s):  
Wind Turbines ◽  
Short Circuit ◽  
Wind Farms ◽  
Variable Speed ◽  
Full Load ◽  
Frequency Converters ◽  
Fault Ride Through ◽  
System Operator ◽  
And Control ◽  
Large Wind

Wind turbines equipped with full-load converter-connected asynchronous generators are a known concept. These have rating up to hundreds of kW and are a feasible concept for MW class wind turbines and may have advantages when compared to conventional wind turbines with directly connected generators.* The concept requires the use of full-scale frequency converters, but the mechanical gearbox is smaller than in conventional wind turbines of the same rating. Application of smaller gearbox may reduce the no-load losses in the wind turbines, which is why such wind turbines with converter connected generators may start operation at a smaller wind speed. Wind turbines equipped with such converted connected asynchronous generators are pitch-controlled and variable-speed. This allows better performance and control. The converter control may be applied to support the grid voltage at short-circuit faults and to improve the fault-ride-through capability of the wind turbines, which makes the concepts relevant for large wind farms. The Danish transmission system operator Energinet-DK has implemented the general model of wind turbines equipped with converter connected asynchronous generators with the simulation tool Powerfactory (DlgSilent). The article presents Energinet-DK's experience of modeling this feasible wind turbine concept.

scholarly journals Distance-Based Sampling Methods for Assessing the Ecological Effects of Offshore Wind Farms: Synthesis and Application to Fisheries Resource Studies

2021 ◽  
Vol 8 ◽  
Author(s):  
Elizabeth T. Methratta
Keyword(s):  
Sampling Methods ◽  
Marine Ecosystem ◽  
Wind Farms ◽  
Ecological Impacts ◽  
Offshore Wind ◽  
Offshore Wind Farms ◽  
Fisheries Resources ◽  
Temporal Variance ◽  
Powerful Approach ◽  
And Control

Renewable energy, sustainable seafood, and a healthy marine ecosystem are integral elements of a sustainable blue economy. The rapid global advancement of offshore wind coupled with its potential to affect marine life compels an urgent need for robust methodologies to assess the impacts of this industry on fisheries resource species. Basic Before-After-Control-Impact (BACI) and Control-Impact (CI) designs are the most common experimental designs used to study the effects of offshore wind development on fisheries resources. These designs do not account for spatial heterogeneity which presents a challenge because empirical evidence shows that impact gradients occur at wind farms, with larger effect sizes close to turbine foundations that attenuate with increasing distance. Combining the before-after sampling design with distance-based methods could provide a powerful approach for characterizing both the spatial and temporal variance associated with wind development. Toward enhancing future monitoring designs for fisheries resource species at offshore wind farms, this paper aims to: (1) examine distance-based sampling methods that have been or could potentially be used to study impacts on fisheries resources at offshore wind farms including distance-stratified BACI, distance-stratified CI, Before-After-Gradient (BAG), and After-Gradient (AG) methods; (2) synthesize the methods and findings of studies conducted to date that have used distance-based methods to examine ecological impacts of offshore wind development for benthic macroinvertebrates, finfish, birds, and small mammals; (3) examine some of the central methodological elements and issues to consider in developing distance-based impact studies; and (4) offer recommendations for how to incorporate distance-based sampling methods into monitoring plans at offshore wind farms.

scholarly journals Formalized model and algorithm for managing complex interaction of heterogeneous transport

2021 ◽  
Vol 2061 (1) ◽  
pp. 012118
Author(s):  
A P Shramko
Keyword(s):  
Transport System ◽  
Heterogeneous Systems ◽  
Complex Interaction ◽  
Transport Processes ◽  
Point Of View ◽  
Transport Systems ◽  
Integrated Regulation ◽  
Local Transport ◽  
And Control ◽  
Efficiency And Reliability

Abstract The problem of ensuring the reliability of heterogeneous transport systems is extremely multifaceted and covers all stages of development - from design to operation. To increase efficiency, there is a need to harmonize the processes taking place in heterogeneous systems within the framework of single transport communication. The lack of appropriate theoretical justification leads in practice to the emergence of insufficiently substantiated decisions, because of which subsequent efforts made to eliminate the discovered shortcomings are, as a rule, costly and ineffective. Assessment of the system of integrated regulation of the transport system, from the point of view of its sustainability, is an indispensable condition for its operational efficiency and reliability. The efficiency of transport processes assumes that the effective functioning of local transport systems is ensured by the level of interaction between participants in the transport process, modes of transport that create positive dynamics of transit freight turnover. The paper substantiates the need for complex interaction in the management of the regional transport system, considering the interaction of adjacent modes of transport in a single information space. The method describes in detail the solution of forecasting and coordination problems in maritime transport systems, harmonization of the interests of heterogeneous transport in solving forecasting and control problems.

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