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A Modular Framework for Optimizing Grid Integration of Mobile and Stationary Energy Storage in Smart GridsScheduling Approach

A Modular Framework for Optimizing Grid Integration of Mobile and Stationary Energy Storage in... [In Section 2.7, it was concluded that profitable operation of a BESS depends on real-time prices, electricity price forecasts, battery aging characteristics and possibly further constraints as they may result from a PEV owner’s driving patterns or other sorts of connected loads. This chapter presents the implemented approach for BESS scheduling accounting for these aspects. The problem under consideration is a multi-stage optimization problem where an optimal charging/discharging schedule has to be computed given a time-series of electricity prices and constraints.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Modular Framework for Optimizing Grid Integration of Mobile and Stationary Energy Storage in Smart GridsScheduling Approach

Pelzer, Dominik
Springer Journals — Jun 28, 2019
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Publisher
Springer Fachmedien Wiesbaden
Copyright
© Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2019
ISBN
978-3-658-27023-0
Pages
73 –108
DOI
10.1007/978-3-658-27024-7_4
Publisher site
See Chapter on Publisher Site

Abstract

[In Section 2.7, it was concluded that profitable operation of a BESS depends on real-time prices, electricity price forecasts, battery aging characteristics and possibly further constraints as they may result from a PEV owner’s driving patterns or other sorts of connected loads. This chapter presents the implemented approach for BESS scheduling accounting for these aspects. The problem under consideration is a multi-stage optimization problem where an optimal charging/discharging schedule has to be computed given a time-series of electricity prices and constraints.]

Published: Jun 28, 2019

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