Stochastic Planning and Modeling for Energy Systems: Methods, Applications, and Developments - Softcover

Softcover

ISBN 10: 0443452989 ISBN 13: 9780443452987

Publisher: Elsevier, 2026

Synopsis

Stochastic Planning and Modeling for Energy Systems: Methods, Applications, and Developments acts as a comprehensive resource on both modeling and planning techniques for stochastic methods in power systems, spanning from scenario generation and reduction to investment and operational planning under uncertainty. Chapters demonstrate modeling systems with multiple, interacting uncertainties, load, renewables, network constraints, prices, and how to use these models for robust investment and operational planning. Methods, applications, and the latest developments, including stochastic methods to generation, distribution, capacity investment, DER siting, and demand-side flexibility, especially under high shares of renewables and EVs are presented.

Additionally, real-world planning challenges, including capacity expansion, microgrid design, and integration of new technologies like hydrogen, batteries, and supercapacitors are examined. Real-world case studies and algorithms are included to demonstrate stochastic workflows and methods. This is a valuable reference for transmission and distribution operators, system planners, market designers, power-system engineers, energy analysts, and MSc-level graduate students in power systems engineering.

• Demonstrates end-to-end stochastic workflows using detailed case studies, including islanded microgrids and high-EV scenarios
• Presents step-by-step treatments of sampling methods, reduction techniques, multistage programming, and risk-measure incorporation through proven algorithms
• Provides software tutorials on implementing Pyomo, Pandapower, GAMS, and PLEXOS

About this title

About the Author

Miadreza Shafie-khah is the Head of Research and Innovation Division at Nowocert, Dublin, Ireland, and a visiting professor at the Royal Melbourne Institute of Technology, Australia. He is the editor-in-chief or associate editor of several prestigious journals including the IEEE Transactions on Sustainable Energy and the IEEE Transactions on Intelligent Transportation Systems. His main research interest is in demand response, decentralized electricity markets, and electric vehicles.

From the Back Cover

Stochastic Planning and Modeling for Energy Systems: Methods, Applications, and Developments acts as a comprehensive resource on both modeling and planning techniques for stochastic methods in power systems, spanning from scenario generation and reduction to investment and operational planning under uncertainty. Ensuring reliability and resilience in today’s rapid energy transition landscape requires rigorous uncertainty management. Chapters demonstrate modeling systems with multiple, interacting uncertainties, load, renewables, network constraints, prices, and using those models for robust investment and operational planning. Methods, applications, and the latest developments including stochastic methods to generation, distribution, capacity investment, DER siting, and demand-side flexibility, especially under high shares of renewables and EVs are presented. Additionally, real-world planning challenges, including capacity expansion, microgrid design, and integration of new technologies like hydrogen, batteries, and supercapacitors are examined. Real-world case studies and algorithms are included to demonstrate stochastic workflows and methods. Stochastic Planning and Modeling for Energy Systems: Methods, Applications, and Developments is valuable to transmission and distribution operators, system planners, market designers, power-system engineers, energy analysts, and MSc-level graduate students in power systems engineering.

Edition details

• Publisher: Elsevier
• Publication date: 2026
• Language: English
• ISBN 10: 0443452989
• ISBN 13: 9780443452987
• Binding: Paperback
• Edition number: 1
• Number of pages: 674
• Editor: Shafie-khah Miadreza