“20th PSCC 2018 papers submission and review platform

Full Program »

Storage Scheduling with Stochastic Uncertainties: Feasibility and Cost of Imbalances

Dispatchability of renewable energy sources and inflexible loads can be achieved using a volatility-compensating energy storage. However, as the future power outputs of the inflexible devices are uncertain, the computation of a dispatch schedule for such aggregated systems is non-trivial. In the present paper, we propose a novel scheduling method that enforces the feasibility of the dispatch schedule with a pre-determined probability based on a description of the operation of the system as a two-stage decision process. Thereby, a crucial point is the use of probabilistic forecasts, in terms of cumulative density function, of the inflexible energy consumption/production profile. Then, for the sake of comparison, we introduce a second scheduling method based on state-of-the-art scenario optimization, where, unlike the proposed method, the focus is on the minimization of the expected final cost. We draw upon simulations based on real consumption and production data to compare the methods and illustrate our findings.

Author(s):

Riccardo Remo Appino    
Karlsruhe Institute of Technology
Germany

Jorge Ángel González Ordiano    
Karlsruhe Institute of Technology
Germany

Ralf Mikut    
Karlsruhe Institute of Technology
Germany

Timm Faulwasser    
Karlsruhe Institute of Technology
Germany

Veit Hagenmeyer    
Karlsruhe Institute of Technology
Germany

 

Powered by OpenConf®
Copyright ©2002-2014 Zakon Group LLC