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Optimal Planning of PV Based Standalone Rural Microgrids and Design of EMS

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Abstract
Standalone rural microgrid (MG) systems are considered as a sustainable and economical solutions towards rural area electrifications. Specific control schemes are necessary to adopt for reliable and economic performance of these rural MGs. This study focuses on the optimal utilization of biomass potential considering specific applications of bio generator (BG) with BG-PV-WT-BSS and BG-PV-SMES based standalone rural MG systems. In the first case of the BG-PV-WT-BSS, the optimal sizing/selection of DGs of a rural MG has been proposed using the improved-MILP (I-MILP) approach. The objectives of this study were to minimize total net present cost (TNPC), the levelized cost of energy (LCOE) and GHG emissions. In the second case of BG-PV-SMES, the simulation model of the rural microgrid consisting of a variable speed bio generator (VSBG) and photovoltaic (PV) has been developed. Afterwards, a simplified EMS has been designed for the coordinated operation control of the distributed energy resources (DERs) in the rural MGs using MATLAB/Simulink® environment. For the DGs connected via power converter, FOSMC and FCS-MPC based coordinated control has been proposed in the simplified EMS. The purpose of the FOSMC and FCS-MPC based power converter is the improvement of the system performance (for instance power quality, regulated voltage and THD) under external disturbances. Simulation analysis shows the better operation of FOSMC and FCS-MPC under less THD and improved power quality. CCBY
Author(s)
Habib, Habib Ur RahmanWaqar, AsadJunejo, Abdul KhaliqueElmorshedy, Mahmoud F.Wang, ShaorongBuker, Mahmut SamiAkindeji, Kayode TimothyKang, JeukKim, Yun-Su
Issued Date
2021-02
Type
Article
DOI
10.1109/ACCESS.2021.3060031
URI
https://scholar.gist.ac.kr/handle/local/11685
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE Access, v.9, pp.32908 - 32930
ISSN
2169-3536
Appears in Collections:
Department of Electrical Engineering and Computer Science > 1. Journal Articles
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