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Titre : | Analytics and optimization for renewable energy integration |
Titre original: | Analyse et optimisation pour l'intégration des énergies renouvelables |
Auteurs : | Zhang Ning, Auteur |
Type de document : | texte imprimé |
Editeur : | New york [U.S.A.] : CRC press, 2019 |
Collection : | Energy analytics |
ISBN/ISSN/EAN : | 978-1-03-240163-8 |
Format : | 1 vol. (XXII-371 p.) / ill. / 24 cm |
Langues: | Anglais |
Index. décimale : | 621.042 (Énergétique (technologie relative aux énergies de substitution et renouvelables)) |
Catégories : | |
Mots-clés: | Renewable resource integration ; Énergies renouvelables |
Résumé : |
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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Note de contenu : |
Sommaire :
Partie 1: Mathematical foundations Chapitre 1: Basic stochastic mathematics Chapitre 2: Copula theory and dependent probabilistic sequence operation Partie 2: Uncertainty modeling and analytics Chapitre 3: Long-term uncertainty of renewable energy generation Chapitre 4: Short-term renewable energy output forecasting Chapitre 5: Short-term uncertaity of renewable energy generation Chapitre 6: Renewablen energy output simulation Chapitre 7: Finding representative renewable energy scenarios Chapitre 8: Short-term operation optimization Chapitre 9: Risk-based stochastic unit commitment Chapitre 10: Managing renewable energy uncertainty in electricity Chapitre 11: Tie-line scheduling for interconnected power systems Partie 3: Long-term planning optimization Chapitre 12: Power system operation simulation Chapitre 13: Capacity credit of renewable energy Chapitre 14: Sequential renewable energy planning Chapitre 15: Generation expansion planning Chapitre 16: Transmission expansion planning |
Exemplaires (2)
Cote | Support | Localisation | Section | Disponibilité |
---|---|---|---|---|
F8/12675 | Livre | Bibliothèque de la Faculté de Technologie | Section documentaire | Disponible |
F8/12676 | Livre | Bibliothèque de la Faculté de Technologie | Section documentaire | Disponible |