Power and Energy Resources : Modelling and Optimization / edited by Farhad Shahnia, Fushuan Wen

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Power SystemsVerlag: Singapore : Springer Nature Singapore, 2025Verlag: Singapore : Imprint: Springer, 2025Auflage: 1st ed. 2025Beschreibung: 1 Online-Ressource(XVI, 276 p. 123 illus., 105 illus. in color.)ISBN:

9789819626120

Schlagwörter:

621.31 23

DOI: DOI: 10.1007/978-981-96-2612-0Online-Ressourcen:

Zugang im Netz des KIT

Zusammenfassung: Statistically feasible robust power system operation -- Modeling and operational optimization of hydropower generation -- Economic dispatch of wind and thermal bundled power systems -- Modeling of natural gas dynamics impact on power systems with high renewables -- Short term prediction of photovoltaic power generation.-Optimal placement of photovoltaic systems in multi energy systems.-Modeling of reactive power voltage response characteristics of renewable energy resources -- Carbon aware distribution network operation and optimization -- Distribution network reconfiguration.Zusammenfassung: This book highlights recent research advancements in the area of power and energy systems. Electrical networks all around the world are experiencing the integration of various types of energy resources including energy storage systems, and these systems are forming the future of power generation and delivery systems. There has been significant research interest in this area over the past decade. Proper designing, planning and operating such systems are crucial and the key area of interest for researchers and utilities. The key emphasis of this book is on modeling, analysis, optimization and management aspects of different types of power and energy systems and assets within electrical power networks. Interesting topics such as their planning, operation and technology accommodation are also presented in detail. The chapters introduce existing and new modeling approaches, optimization, control and management methods.PPN: PPN: 1924770830Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-ENE | ZDB-2-SXEN

Exemplare ( 0 )

Dieser Titel hat keine Exemplare