TY - GEN
T1 - Cost-optimal operation for a flexible building with local PV in a Singaporean environment
AU - Hanif, Sarmad
AU - Gruentgens, Christoph
AU - Massier, Tobias
AU - Hamacher, Thomas
AU - Reindl, Thomas
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/9
Y1 - 2016/12/9
N2 - In the future, flexible demand with the combination of renewable energy may hold the key for a sustainable power grid. However, if not managed properly, this combination may pose a threat to the reliability of the grid. In this paper, we analyze the effect on the cost-optimal operation of the flexible building in the presence of locally connected solar photovoltaic (PV) system. Based on a detailed thermal model of a building, an optimization based operational strategy has been presented. The objective of this strategy is to optimally schedule energy and reserve in the presence of flexible loads and the PV system. Two forecasting methods, in a rolling horizon fashion, are deployed to evaluate the interaction between the uncertain PV output and the operation of the whole system. Case studies are performed using the pricing framework of the National Energy Market Singapore (NEMS). Results show that a trade-off exist between the cost optimality of the overall system and the excess PV output fed to the grid (reverse power flow).
AB - In the future, flexible demand with the combination of renewable energy may hold the key for a sustainable power grid. However, if not managed properly, this combination may pose a threat to the reliability of the grid. In this paper, we analyze the effect on the cost-optimal operation of the flexible building in the presence of locally connected solar photovoltaic (PV) system. Based on a detailed thermal model of a building, an optimization based operational strategy has been presented. The objective of this strategy is to optimally schedule energy and reserve in the presence of flexible loads and the PV system. Two forecasting methods, in a rolling horizon fashion, are deployed to evaluate the interaction between the uncertain PV output and the operation of the whole system. Case studies are performed using the pricing framework of the National Energy Market Singapore (NEMS). Results show that a trade-off exist between the cost optimality of the overall system and the excess PV output fed to the grid (reverse power flow).
KW - Buildings
KW - Cost Optimal
KW - Demand Response
KW - Forecasting Methods
KW - Photovoltaic
KW - Reverse Power Flow
UR - http://www.scopus.com/inward/record.url?scp=85010698075&partnerID=8YFLogxK
U2 - 10.1109/ISGT.2016.7781232
DO - 10.1109/ISGT.2016.7781232
M3 - Conference contribution
AN - SCOPUS:85010698075
T3 - 2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016
BT - 2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016
Y2 - 6 September 2016 through 9 September 2016
ER -
