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A mathematical model‐based approach for DC multi‐microgrid performance evaluations considering intermittent distributed energy resources, energy storage, multiple load classes, and system components variations.

Authors :
Anees, Hafiz Muhammad
Kazmi, Syed Ali Abbas
Naqvi, Muhammad
Naqvi, Salman Raza
Dastgeer, Faizan
Gelani, Hassan Erteza
Source :
Energy Science & Engineering. Oct2021, Vol. 9 Issue 10, p1919-1934. 16p.
Publication Year :
2021

Abstract

The efficiency of DC microgrid needs investigation from a smart grid perspective, since their spread has expected to prevail in comparison with AC counterparts. Furthermore, there is a need to address the limitations (majorly to cater the intermittency of distributed energy resources (DERs) as well as the time dependency of systematic parameters etc.) in previous model and propose a new mathematical model to evaluate system efficiency for given parameters and scenarios. The core focus of current study aims at formulation of an improved (composite) mathematical model, that is capable of bridging issues and serve as a tool to address requirements of future DC systems including microgrids (MGs) and multi‐microgrids (MMGs). This research work offers such a mathematical model that consists of 3D matrices based on newly derived set of discrete time dependent equations, which evaluates the system efficiency of residential DC‐MMGs. Each DC‐MG is embedded with intermittent DERs, storage, components (with efficiency variations), and multi‐class load (with discrete time dependency), for evaluation across worst, normal, and best scenarios. A comprehensive sensitivity analysis across various cases and respective scenarios are also presented to evaluate overall system performance. Also, the impacts of system parameters on various system variables, states, and overall system efficiency have presented in this paper. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20500505
Volume :
9
Issue :
10
Database :
Academic Search Index
Journal :
Energy Science & Engineering
Publication Type :
Academic Journal
Accession number :
152762487
Full Text :
https://doi.org/10.1002/ese3.901