Microgrid Assisted Design for Remote Areas

Guodong Liu, Zhi Li, Yaosuo Xue and Kevin Tomsovic
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Guodong Liu: Grid Components & Control Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Zhi Li: Grid Components & Control Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Yaosuo Xue: Grid Components & Control Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Kevin Tomsovic: Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA

Energies, 2022, vol. 15, issue 10, 1-23

Abstract: In this work, we present a three-stage multiobjective mixed-integer linear programming (MILP) for the optimal expansion planning and operation of isolated multienergy microgrids in remote areas. By selecting the optimal distributed generators (DGs) and energy storage systems (ESSs) mix selection, siting, sizing, and scheduling in the remote microgrid, the proposed model is targeted to minimize the annualized total cost of microgrids while enhancing the performance of the system, i.e., minimizing the voltage deviations and line power loss. To represent the electricity and heat flow between generation resources and various electrical, heating, and cooling loads in the isolated microgrid, linearized power flow, and heat flow constraints are employed in the proposed optimization model. The available capacity of DGs and ESSs are modeled as discrete constants instead of continuous variables for practical purpose. Numerical simulation results on a remote microgrid consisting of DGs, ESSs, and various loads validate the proposed method.

Keywords: microgrid; planning and operation; siting and sizing; mixed-integer linear programming (MILP) (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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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