Analytics and Optimization for Renewable Energy Integration /

The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy...

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Main Authors: Zhang, Ning, author, Kang, Chongqing, author, Du, Ershun, author, Wang, Yi, author
Format:
Language:eng
Published: Boca Raton, FL : CRC Press, 2019
Subjects:
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author Zhang, Ning, author
Kang, Chongqing, author
Du, Ershun, author
Wang, Yi, author
author_facet Zhang, Ning, author
Kang, Chongqing, author
Du, Ershun, author
Wang, Yi, author
author_sort Zhang, Ning, author
collection OCEAN
description The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets
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institution Universiti Teknologi Malaysia - OCEAN
language eng
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publishDate 2019
publisher Boca Raton, FL : CRC Press,
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spelling KOHA-OAI-TEST:5533172020-12-19T17:20:55ZAnalytics and Optimization for Renewable Energy Integration / Zhang, Ning, author Kang, Chongqing, author Du, Ershun, author Wang, Yi, author Boca Raton, FL : CRC Press,2019engThe scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity marketsIncludes bibliographical references and indexMathematical foundations -- Copula theory and dependent probabilistic sequence operation -- Long-term uncertainty of renewable energy generation -- Short-term renewable energy output forecasting -- Short-term uncertainty of renewable energy generation -- Renewable energy output simulation -- Finding representative renewable energy scenarios -- Probabilistic load flow under uncertainty -- Risk-based stochastic unit commitment -- Managing renewable energy uncertainty in electricity market -- Tie-line scheduling for interconnected power systems -- Power system operation simulation -- Capacity credit of renewable energy -- Sequential renewable energy planning -- Generation expansion planning -- Transmission expansion planningThe scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity marketsPSZJBL Renewable resource integrationRenewable energy sourcesURN:ISBN:9781138316829
spellingShingle Renewable resource integration
Renewable energy sources
Zhang, Ning, author
Kang, Chongqing, author
Du, Ershun, author
Wang, Yi, author
Analytics and Optimization for Renewable Energy Integration /
title Analytics and Optimization for Renewable Energy Integration /
title_full Analytics and Optimization for Renewable Energy Integration /
title_fullStr Analytics and Optimization for Renewable Energy Integration /
title_full_unstemmed Analytics and Optimization for Renewable Energy Integration /
title_short Analytics and Optimization for Renewable Energy Integration /
title_sort analytics and optimization for renewable energy integration
topic Renewable resource integration
Renewable energy sources
work_keys_str_mv AT zhangningauthor analyticsandoptimizationforrenewableenergyintegration
AT kangchongqingauthor analyticsandoptimizationforrenewableenergyintegration
AT duershunauthor analyticsandoptimizationforrenewableenergyintegration
AT wangyiauthor analyticsandoptimizationforrenewableenergyintegration