TY - GEN
T1 - Community Microgrid Planning Considering Building Thermal Dynamics
AU - Zhang, Xiaohu
AU - Bian, Desong
AU - Shi, Di
AU - Wang, Zhiwei
AU - Liu, Guodong
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - In this paper, the building thermal dynamic characteristics are introduced in the community microgrid (MG) planning model. The proposed planning model is formulated as a mixed integer linear programming (MILP) which seeks to determine the optimal deployment strategy for various distributed energy resources (DER). The objective is to minimize the annualized cost of community MG, including investment cost in DER, operation cost for dispatchable fuel-generators (DFG), energy storage system (ESS) degradation cost, energy purchasing and peak demand charge at PCC, customer discomfort cost due to the room temperature deviation and load curtailment cost. Given the slow thermal dynamic characteristics of buildings, the heating, ventilation and air-conditioning (HVAC) system in the proposed model is treated as a demand side management (DSM) component, whose dispatch commands are provided by the central MG controller. Numerical results based on a community MG comprising of 20 residential buildings demonstrate the effectiveness of the proposed planning model and the benefits of introducing the building thermal dynamic model.
AB - In this paper, the building thermal dynamic characteristics are introduced in the community microgrid (MG) planning model. The proposed planning model is formulated as a mixed integer linear programming (MILP) which seeks to determine the optimal deployment strategy for various distributed energy resources (DER). The objective is to minimize the annualized cost of community MG, including investment cost in DER, operation cost for dispatchable fuel-generators (DFG), energy storage system (ESS) degradation cost, energy purchasing and peak demand charge at PCC, customer discomfort cost due to the room temperature deviation and load curtailment cost. Given the slow thermal dynamic characteristics of buildings, the heating, ventilation and air-conditioning (HVAC) system in the proposed model is treated as a demand side management (DSM) component, whose dispatch commands are provided by the central MG controller. Numerical results based on a community MG comprising of 20 residential buildings demonstrate the effectiveness of the proposed planning model and the benefits of introducing the building thermal dynamic model.
KW - Community MG planning
KW - HVAC
KW - MILP
KW - thermal dynamic model
UR - http://www.scopus.com/inward/record.url?scp=85079483604&partnerID=8YFLogxK
U2 - 10.1109/iSPEC48194.2019.8975202
DO - 10.1109/iSPEC48194.2019.8975202
M3 - Conference contribution
AN - SCOPUS:85079483604
T3 - iSPEC 2019 - 2019 IEEE Sustainable Power and Energy Conference: Grid Modernization for Energy Revolution, Proceedings
SP - 1953
EP - 1958
BT - iSPEC 2019 - 2019 IEEE Sustainable Power and Energy Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Sustainable Power and Energy Conference, iSPEC 2019
Y2 - 21 November 2019 through 23 November 2019
ER -