Impact of forecasting errors on microgrid optimal power management
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F20%3A00342070" target="_blank" >RIV/68407700:21730/20:00342070 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/EEEIC/ICPSEurope49358.2020.9160513" target="_blank" >https://doi.org/10.1109/EEEIC/ICPSEurope49358.2020.9160513</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EEEIC/ICPSEurope49358.2020.9160513" target="_blank" >10.1109/EEEIC/ICPSEurope49358.2020.9160513</a>
Alternative languages
Result language
angličtina
Original language name
Impact of forecasting errors on microgrid optimal power management
Original language description
The paper presents a DC microgrid model and its power management system based on metaheuristical optimization of a rolling horizon. The crucial components of such a system are forecasts of photovoltaic production and load power. The paper experimentally demonstrates how the forecasting error affects power management in terms of increased operational costs and increased probability of constraints violation. It is demonstrated that the benefits of the optimized power scheduling decrease linearly with increasing mean absolute percentage error (MAPE) of load and photovoltaic production forecast. In our scenario, the state-of-charge constraints for electric vehicle battery were not affected by inaccurate forecasts, which is very important for the electric vehicle user’s acceptance of the power management system.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/TK02020005" target="_blank" >TK02020005: Flexible AC/DC microgrid for collective housing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems
ISBN
978-1-7281-7453-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC.
Place of publication
Piscataway
Event location
Madrid
Event date
Jun 9, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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