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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Language: | eng |
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Boca Raton, FL : CRC Press,
2019
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_version_ | 1796760392951660544 |
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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 |
first_indexed | 2024-03-05T16:11:10Z |
format | |
id | KOHA-OAI-TEST:553317 |
institution | Universiti Teknologi Malaysia - OCEAN |
language | eng |
last_indexed | 2024-03-05T16:11:10Z |
publishDate | 2019 |
publisher | Boca Raton, FL : CRC Press, |
record_format | dspace |
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 |