NDLI: Microgrid Assisted Design for Remote Areas

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Microgrid Assisted Design for Remote Areas

Content Provider	MDPI
Author	Liu, Guodong Li, Zhi Xue, Yaosuo Tomsovic, Kevin
Copyright Year	2022
Description	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.
Starting Page	3725
e-ISSN	19961073
DOI	10.3390/en15103725
Journal	Energies
Issue Number	10
Volume Number	15
Language	English
Publisher	MDPI
Publisher Date	2022-05-19
Access Restriction	Open
Subject Keyword	Energies Operations Research and Management Science Microgrid Planning and Operation Siting and Sizing Mixed-integer Linear Programming (milp)
Content Type	Text
Resource Type	Article

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