Spatio-Temporal Data Analytics for Wind Energy Integration

Spatio-Temporal Data Analytics for Wind Energy Integration
Author: Lei Yang
Publisher: Springer
Total Pages: 86
Release: 2014-11-14
Genre: Technology & Engineering
ISBN: 331912319X

This SpringerBrief presents spatio-temporal data analytics for wind energy integration using stochastic modeling and optimization methods. It explores techniques for efficiently integrating renewable energy generation into bulk power grids. The operational challenges of wind, and its variability are carefully examined. A spatio-temporal analysis approach enables the authors to develop Markov-chain-based short-term forecasts of wind farm power generation. To deal with the wind ramp dynamics, a support vector machine enhanced Markov model is introduced. The stochastic optimization of economic dispatch (ED) and interruptible load management are investigated as well. Spatio-Temporal Data Analytics for Wind Energy Integration is valuable for researchers and professionals working towards renewable energy integration. Advanced-level students studying electrical, computer and energy engineering should also find the content useful.

Data Science for Wind Energy

Data Science for Wind Energy
Author: Yu Ding
Publisher: CRC Press
Total Pages: 0
Release: 2020-12-18
Genre: Business & Economics
ISBN: 9780367729097

Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance optimization for wind turbines and wind farms. A broad set of data science methods covered, including time series models, spatio-temporal analysis, kernel regression, decision trees, kNN, splines, Bayesian inference, and importance sampling. More importantly, the data science methods are described in the context of wind energy applications, with specific wind energy examples and case studies. Please also visit the author's book site at https://aml.engr.tamu.edu/book-dswe. Features Provides an integral treatment of data science methods and wind energy applications Includes specific demonstration of particular data science methods and their use in the context of addressing wind energy needs Presents real data, case studies and computer codes from wind energy research and industrial practice Covers material based on the author's ten plus years of academic research and insights

Data Analytics for Renewable Energy Integration

Data Analytics for Renewable Energy Integration
Author: Wei Lee Woon
Publisher: Springer
Total Pages: 159
Release: 2014-11-20
Genre: Computers
ISBN: 3319132903

This book constitutes revised selected papers from the second ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2014, held in Nancy, France, in September 2014. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book.

Data Fusion and Data Mining for Power System Monitoring

Data Fusion and Data Mining for Power System Monitoring
Author: Arturo Román Messina
Publisher: CRC Press
Total Pages: 267
Release: 2020-05-05
Genre: Mathematics
ISBN: 1000065898

Data Fusion and Data Mining for Power System Monitoring provides a comprehensive treatment of advanced data fusion and data mining techniques for power system monitoring with focus on use of synchronized phasor networks. Relevant statistical data mining techniques are given, and efficient methods to cluster and visualize data collected from multiple sensors are discussed. Both linear and nonlinear data-driven mining and fusion techniques are reviewed, with emphasis on the analysis and visualization of massive distributed data sets. Challenges involved in realistic monitoring, visualization, and analysis of observation data from actual events are also emphasized, supported by examples of relevant applications. Features Focuses on systematic illustration of data mining and fusion in power systems Covers issues of standards used in the power industry for data mining and data analytics Applications to a wide range of power networks are provided including distribution and transmission networks Provides holistic approach to the problem of data mining and data fusion using cutting-edge methodologies and technologies Includes applications to massive spatiotemporal data from simulations and actual events

Renewable Energy Integration for Bulk Power Systems

Renewable Energy Integration for Bulk Power Systems
Author: Pengwei Du
Publisher: Springer Nature
Total Pages: 293
Release: 2023-05-12
Genre: Technology & Engineering
ISBN: 3031286391

Renewable Energy Integration for Bulk Power Systems: ERCOT and the Texas Interconnection looks at the practices and changes introduced in the Texas electric grid to facilitate renewable energy integration. It offers an informed perspective on solutions that have been successfully demonstrated, tested, and validated by the Electric Reliability Council of Texas (ERCOT) to meet the key challenges which engineers face in integrating increased levels of renewable resources into existing electric grids while maintaining reliability. Coverage includes renewable forecasting, ancillary services, and grid and market operations. Proved methods and their particular use scenarios, including wind, solar, and other resources like batteries and demand response, are also covered. The book focuses on a real-world context that will help practicing engineers, utility providers, and researchers understand the practical considerations for developing renewable integration solutions and inspire the future development of more innovative strategies and theoretical underpinnings.

Grid Integration and Dynamic Impact of Wind Energy

Grid Integration and Dynamic Impact of Wind Energy
Author: Vijay Vittal
Publisher: Springer Science & Business Media
Total Pages: 153
Release: 2012-07-23
Genre: Technology & Engineering
ISBN: 1441993231

Grid Integration and Dynamic Impact of Wind Energy details the integration of wind energy resources to the electric grid worldwide. Authors Vijay Vittal and Raja Ayyanar include detailed coverage of the power converters and control used in interfacing electric machines and power converters used in wind generators, and extensive descriptions of power systems operation and control to accommodate large penetration of wind resources. Key concepts will be illustrated through extensive power electronics and power systems simulations using software like MATLAB, Simulink and PLECS. The book addresses real world problems and solutions in the area of grid integration of wind resources, and will be a valuable resource for engineers and researchers working in renewable energy and power.

Integration of Large Scale Wind Energy with Electrical Power Systems in China

Integration of Large Scale Wind Energy with Electrical Power Systems in China
Author: Zongxiang Lu
Publisher: John Wiley & Sons
Total Pages: 488
Release: 2018-07-18
Genre: Technology & Engineering
ISBN: 1118910001

An in-depth examination of large scale wind projects and electricity production in China Presents the challenges of electrical power system planning, design, operation and control carried out by large scale wind power, from the Chinese perspective Focuses on the integration issue of large scale wind power to the bulk power system, probing the interaction between wind power and bulk power systems Wind power development is a burgeoning area of study in developing countries, with much interest in offshore wind farms and several big projects under development English translation of the Chinese language original which won the "Fourth China Outstanding Publication Award nomination" in March 2013

Integrated Modelling of Ecosystem Services and Land-Use Change

Integrated Modelling of Ecosystem Services and Land-Use Change
Author: Youjia Liang
Publisher: Springer Nature
Total Pages: 186
Release: 2019-10-17
Genre: Science
ISBN: 9811391254

This book presents essential case studies on the integrated modelling of ecosystem services and land-use change in the field of landscape ecology. The case studies were mainly conducted in the Zhangye oasis of the Hexi corridor and the upper reaches of the Heihe river basin, including Loess plateau (for wind power) and the inland waterways of the Yangtze River (for the regulation of extreme events). The book puts forward an integrated modelling method, including human activities, natural processes, land-use change, and ecosystem management, and explores multiple scenarios based on the interests of local managers and their implications for ecosystem services. As the book demonstrates, the integrated modelling method for ecosystem services and land-use change can serve as a valuable tool for gauging the impact of various development scenarios in this study area, and in other regions with similar characteristics. In addition, numerous charts and diagrams are included in each chapter, facilitating the simulation and assessment of specific land-use change impacts on ecosystem services in various study areas.

Renewable Energy Forecasting

Renewable Energy Forecasting
Author: Georges Kariniotakis
Publisher: Woodhead Publishing
Total Pages: 388
Release: 2017-09-29
Genre: Technology & Engineering
ISBN: 0081005059

Renewable Energy Forecasting: From Models to Applications provides an overview of the state-of-the-art of renewable energy forecasting technology and its applications. After an introduction to the principles of meteorology and renewable energy generation, groups of chapters address forecasting models, very short-term forecasting, forecasting of extremes, and longer term forecasting. The final part of the book focuses on important applications of forecasting for power system management and in energy markets. Due to shrinking fossil fuel reserves and concerns about climate change, renewable energy holds an increasing share of the energy mix. Solar, wind, wave, and hydro energy are dependent on highly variable weather conditions, so their increased penetration will lead to strong fluctuations in the power injected into the electricity grid, which needs to be managed. Reliable, high quality forecasts of renewable power generation are therefore essential for the smooth integration of large amounts of solar, wind, wave, and hydropower into the grid as well as for the profitability and effectiveness of such renewable energy projects. - Offers comprehensive coverage of wind, solar, wave, and hydropower forecasting in one convenient volume - Addresses a topic that is growing in importance, given the increasing penetration of renewable energy in many countries - Reviews state-of-the-science techniques for renewable energy forecasting - Contains chapters on operational applications