Power Systems Research and Operation - Couverture rigide

Couverture rigide

ISBN 10 : 3031447719 ISBN 13 : 9783031447716

Editeur : Springer International Publishing AG, 2023

Synopsis

This book covers new technologies and methods related to models for short-term forecasting of electricity imbalances in the IPS of Ukraine, taking into account the impact of forecasts of energy production from renewable sources on the accuracy of the imbalance forecast. The book proposed architecture and mathematical model of an artificial neural network for deep learning forecasting of short-term electricity imbalances using hourly data. Using a model to aggregate data with an hourly resolution followed by forecasting to reduce forecast error, the quasi-dynamic modeling method was used to analyze the impact of periodic generation on the network. The application of quasi-dynamic modeling also allows taking into account the system load curve, generation profile, storage system, as well as renewable energy sources (RES) operation in this area. The use of models makes it possible to achieve realistic estimates of generation for the required period. The book considers a local hybrid renewable energy system (HRES) based on different types of RES, which is more efficient than a system with one type of source.

Détails de l'édition

• Éditeur: Springer International Publishing AG
• Date d'édition: 2023
• Langue: anglais
• ISBN 10: 3031447719
• ISBN 13: 9783031447716
• Reliure: Relié
• Nombre de pages: 383
• Éditeur: Kyrylenko Olexandr, Denysiuk Serhii, Strzelecki Ryszard, Blinov Ihor, Zaitsev Ievgen, Zaporozhets Artur
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne