Opiyo, N.N. ORCID: 0000-0002-9666-8712, 2018. Droop control methods for PV-based mini grids with different line resistances and impedances. Smart Grid and Renewable Energy, 9 (6), pp. 101-112. ISSN 2151-481X
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Abstract
Different droop control methods for PV-based communal grid networks (minigrids and microgrids) with different line resistances (R) and impedances (X) are modelled and simulated in MATLAB to determine the most efficient control method for a given network. Results show that active power-frequency (P-f) droop control method is the most efficient for low voltage transmission networks with low X/R ratios while reactive power-voltage (Q-V) droop control method is the most efficient for systems with high X/R ratios. For systems with complex line resistances and impedances, i.e. near unity X/R ratios, P-f or Q-V droop methods cannot individually efficiently regulate line voltage and frequency. For such systems, P-Q-f droop control method, where both active and reactive power could be used to control PCC voltage via shunt-connected inverters, is determined to be the most efficient control method. Results also show that shunt-connection of inverters leads to improved power flow control of interconnected communal grids by allowing feeder voltage regulation, load reactive power support, reactive power management between feeders, and improved overall system performance against dynamic disturbances.
Item Type: | Journal article | ||||||
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Publication Title: | Smart Grid and Renewable Energy | ||||||
Creators: | Opiyo, N.N. | ||||||
Publisher: | Scientific Research Publishing, Inc. | ||||||
Date: | June 2018 | ||||||
Volume: | 9 | ||||||
Number: | 6 | ||||||
ISSN: | 2151-481X | ||||||
Identifiers: |
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Rights: | Copyright © 2018 by author and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). | ||||||
Divisions: | Schools > School of Science and Technology | ||||||
Record created by: | Linda Sullivan | ||||||
Date Added: | 07 Aug 2020 10:21 | ||||||
Last Modified: | 31 May 2021 15:13 | ||||||
URI: | https://irep.ntu.ac.uk/id/eprint/40379 |
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