Effect of Short-term and High-resolution Load Forecasting Errors on Microgrid Operation Costs
Paper i proceeding, 2022
showed no significant differences among the costs of the test cases for a daily mean absolute percentage forecast error of about 12%. These results suggest that operators of similar microgrid systems could use simplifying approaches, such as day-ahead deterministic optimization, and forecasts of similar, non-negligible accuracy without substantially affecting the microgrid's total cost as compared to the ideal case of perfect forecast. Improving the accuracy would mainly reduce the microgrid's peak power cost as shown by its 20.2% increase in comparison to the ideal case.
microgrid
machine learning
battery
stochastic optimization
load forecasting
energy management
Författare
Kyriaki Antoniadou-Plytaria
Chalmers, Elektroteknik, Elkraftteknik
Ludvig Eriksson
Student vid Chalmers
Jakob Johansson
Student vid Chalmers
Richard Johnsson
Student vid Chalmers
Lasse Kötz
Student vid Chalmers
Johan Lamm
Student vid Chalmers
Ellinor Lundblad
Student vid Chalmers
David Steen
Chalmers, Elektroteknik, Elkraftteknik
Anh Tuan Le
Chalmers, Elektroteknik, Elkraftteknik
Ola Carlson
Chalmers, Elektroteknik, Elkraftteknik
IEEE PES Innovative Smart Grid Technologies Conference Europe
Vol. 2022-October
978-166548032-1 (ISBN)
Novi Sad, Serbia,
ENABLING FLEXIBILITY FOR FUTURE DISTRIBUTION GRID (FLEXIGRID)
Europeiska kommissionen (EU) (EC/H2020/864048), 2019-11-01 -- 2023-04-30.
Ämneskategorier
Beräkningsmatematik
Datorsystem
Annan elektroteknik och elektronik
DOI
10.1109/ISGT-Europe54678.2022.9960535
ISBN
9781665480321