A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Robust Energy Scheduling for Smart Buildings Considering Uncertainty in PV Generation
The fast growth of renewable energy sources in the residential building led to a complex problem related to the energy management system: the uncertainty associated with the forecast of photovoltaic power generation. To solve this challenge, this paper proposes a robust optimization model to obtain the optimal solution for the worst-case scenario of photovoltaic generation. A Mixed Binary Linear Programming problem is transformed into a trackable robust counterpart to provide immunity against the worst-case realization. Through the budget of uncertainty, the risk of the solution can be adjusted. The results demonstrate that the influence of Battery Energy Storage System and Electric Vehicles against uncertainties leads to higher economic gains up to 6% reduction. ; This work has received funding from FEDER Funds through COMPETE program and from National Funds through FCT under the project BENEFICE–PTDC/EEI-EEE/29070/2017 and UIDB/00760/2020 under CEECIND/02814/2017 grant. ; info:eu-repo/semantics/publishedVersion
Robust Energy Scheduling for Smart Buildings Considering Uncertainty in PV Generation
The fast growth of renewable energy sources in the residential building led to a complex problem related to the energy management system: the uncertainty associated with the forecast of photovoltaic power generation. To solve this challenge, this paper proposes a robust optimization model to obtain the optimal solution for the worst-case scenario of photovoltaic generation. A Mixed Binary Linear Programming problem is transformed into a trackable robust counterpart to provide immunity against the worst-case realization. Through the budget of uncertainty, the risk of the solution can be adjusted. The results demonstrate that the influence of Battery Energy Storage System and Electric Vehicles against uncertainties leads to higher economic gains up to 6% reduction. ; This work has received funding from FEDER Funds through COMPETE program and from National Funds through FCT under the project BENEFICE–PTDC/EEI-EEE/29070/2017 and UIDB/00760/2020 under CEECIND/02814/2017 grant. ; info:eu-repo/semantics/publishedVersion
Robust Energy Scheduling for Smart Buildings Considering Uncertainty in PV Generation
Foroozandeh, Zahra (author) / Tavares, Ines (author) / Soares, João (author) / Ramos, Sérgio (author) / Vale, Zita (author)
2022-01-01
doi:10.1109/ICEEE55327.2022.9772561
Article (Journal)
Electronic Resource
English
DDC:
690
Multi-objective robust optimization to solve energy scheduling in buildings under uncertainty
| BASE | 2017
Multi-objective robust optimization to solve energy scheduling in buildings under uncertainty
| BASE | 2017