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...
Pelzer, Dominik
2019-06-28 00:00:00
[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.pnghttp://www.deepdyve.com/lp/springer-journals/a-modular-framework-for-optimizing-grid-integration-of-mobile-and-9sV3LwjlDO
A Modular Framework for Optimizing Grid Integration of Mobile and Stationary Energy Storage in Smart GridsScheduling Approach
[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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