Community Microgrid Scheduling Considering Network Operational Constraints and Building Thermal Dynamics

Liu, Guodong; Ollis, Thomas B.; Xiao, Bailu; Zhang, Xiaohu; Tomsovic, Kevin

doi:10.3390/en10101554

Title: Community Microgrid Scheduling Considering Network Operational Constraints and Building Thermal Dynamics

Journal Article · Tue Oct 10 00:00:00 EDT 2017 · Energies

DOI:https://doi.org/10.3390/en10101554· OSTI ID:1399988

Liu, Guodong ^[1];

^[1]; Xiao, Bailu ^[1]; Zhang, Xiaohu ^[2]; Tomsovic, Kevin ^[2]

Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
The Univ. of Tennessee, Knoxville, TN (United States)

Here, this paper proposes a Mixed Integer Conic Programming (MICP) model for community microgrids considering the network operational constraints and building thermal dynamics. The proposed optimization model optimizes not only the operating cost, including fuel cost, purchasing cost, battery degradation cost, voluntary load shedding cost and the cost associated with customer discomfort due to room temperature deviation from the set point, but also several performance indices, including voltage deviation, network power loss and power factor at the Point of Common Coupling (PCC). In particular, the detailed thermal dynamic model of buildings is integrated into the distribution optimal power flow (D-OPF) model for the optimal operation of community microgrids. The heating, ventilation and air-conditioning (HVAC) systems can be scheduled intelligently to reduce the electricity cost while maintaining the indoor temperature in the comfort range set by customers. Numerical simulation results show the effectiveness of the proposed model and significant saving in electricity cost could be achieved with network operational constraints satisfied.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1399988

Journal Information:: Energies, Vol. 10, Issue 10; ISSN 1996-1073

Publisher:: MDPI AGCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 6 works

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