Community Microgrid Scheduling Considering Network Operational Constraints and Building Thermal Dynamics

Guodong Liu, Thomas B. Ollis, Bailu Xiao, Xiaohu Zhang and Kevin Tomsovic
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Guodong Liu: Power & Energy Systems Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Thomas B. Ollis: Power & Energy Systems Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Bailu Xiao: Power & Energy Systems Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Xiaohu Zhang: Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA
Kevin Tomsovic: Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA

Energies, 2017, vol. 10, issue 10, 1-19

Abstract: This paper proposes a Mixed Integer Conic Programming (MICP) model for community microgrids considering the network operational constraints and building thermal dynamics. The proposed multi-objective optimization model optimizes not only the operating cost, including fuel cost, electricity purchasing/selling, storage degradation, voluntary load shedding and the cost associated with customer discomfort as a result of the room temperature deviation from the customer setting point, but also several performance indices, including voltage deviation, network power loss and power factor at the Point of Common Coupling (PCC). In particular, we integrate the detailed thermal dynamic model of buildings into the distribution optimal power flow (D-OPF) model for the optimal operation. Thus, the proposed model can directly schedule the heating, ventilation and air-conditioning (HVAC) systems of buildings intelligently so as to to reduce the electricity cost without compromising the comfort of customers. Results of numerical simulation validate the effectiveness of the proposed model and significant savings in electricity cost with network operational constraints satisfied.

Keywords: community microgrids; distribution optimal power flow; multiobjective optimization; thermal dynamic model; HVAC (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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