TY - GEN
T1 - Optimal power and heat scheduling of microgrids under renewable generation uncertainties
AU - Mohseni, Mojtaba
AU - Abedi, Mehrdad
AU - Jafari, Hossein
AU - Heydarian-Forushani, Ehsan
AU - Al-Sumaiti, Ameena Saad
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/15
Y1 - 2020/9/15
N2 - Technology development, government incentives, and global concerns about rising greenhouse gases make the renewable power generations to a viable option in smart microgrids. The uncertainty of renewable energy resources creates essential challenges for microgrid operator in different aspects. Moreover, the future microgrids can also supply the customer's heat demand due to their proximity to load. On this basis, optimal operation of future microgrids is a complex problem which must be solved in an appropriate way. This paper proposed an integrated power and heat generation scheduling in microgrid context considering the uncertainty of wind and photovoltaic resources through Monte Carlo simulation approach. In order to evaluate the effectiveness of the proposed method, the model has been implemented on a typical microgrid. The obtained results reveal the effectiveness of the presented framework.
AB - Technology development, government incentives, and global concerns about rising greenhouse gases make the renewable power generations to a viable option in smart microgrids. The uncertainty of renewable energy resources creates essential challenges for microgrid operator in different aspects. Moreover, the future microgrids can also supply the customer's heat demand due to their proximity to load. On this basis, optimal operation of future microgrids is a complex problem which must be solved in an appropriate way. This paper proposed an integrated power and heat generation scheduling in microgrid context considering the uncertainty of wind and photovoltaic resources through Monte Carlo simulation approach. In order to evaluate the effectiveness of the proposed method, the model has been implemented on a typical microgrid. The obtained results reveal the effectiveness of the presented framework.
KW - Microgrid
KW - Monte Carlo simulation
KW - Operation
KW - Uncertainty
UR - http://www.scopus.com/inward/record.url?scp=85096934267&partnerID=8YFLogxK
U2 - 10.1109/SPIES48661.2020.9242982
DO - 10.1109/SPIES48661.2020.9242982
M3 - Conference contribution
AN - SCOPUS:85096934267
T3 - 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020
SP - 311
EP - 315
BT - 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020
Y2 - 15 September 2020 through 18 September 2020
ER -
