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Storage scheduling with stochastic uncertainties : feasibility and cost of imbalances
Publikationstyp
Conference Paper
Date Issued
2018-08-20
Sprache
English
Author(s)
Article Number
8442529
Citation
20th Power Systems Computation Conference, PSCC 2018
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
IEEE
ISBN
9781910963104
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.
Subjects
Dispatch schedule optimization
Energy storage system
Probabilistic forecasting
Renewable energy
Stochastic programming
DDC Class
004: Computer Sciences
333.7: Natural Resources, Energy and Environment
510: Mathematics