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Development of an improved microgrid-centralize power sharing scheme using fuzzy logic controller

Master of Science in Electrical System Engineering

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Bibliographic Details
Main Author: Nurul Nadiah, Ayop
Other Authors: Mohd Azrik, Roslan, Dr.
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2017
Subjects:
Microgrids (Smart power grids)
Microgrid
Power sharing
Central controller
Fuzzy mathematics
Fuzzy logic
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77976
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spelling my.unimap-779762023-03-06T01:04:38Z Development of an improved microgrid-centralize power sharing scheme using fuzzy logic controller Nurul Nadiah, Ayop Mohd Azrik, Roslan, Dr. Microgrids (Smart power grids) Microgrid Power sharing Central controller Fuzzy mathematics Fuzzy logic Master of Science in Electrical System Engineering A microgrid is a local energy grid with control capability, which means it can be connected to or disconnected from the traditional grid and operate autonomously. Recently, the droop control techniques are widely used to solve the problem of load sharing in microgrid system. These techniques have been improved to resolve the rising issues such as system stability and power sharing. Although the improved droop techniques improvise the stability of microgrid operations, however the power sharing performance still not optimized and can be further improved. This thesis focuses on improving power sharing for parallel connected inverters in an islanded microgrid. A centralized power sharing scheme that utilizes Fuzzy Logic Controller (FLC) is proposed to improve the power sharing among parallel connected inverters in AC islanded microgrid. This proposed technique is implemented to control three parallel connected single-phase inverters in a microgrid. Central controller is used to process active and reactive output power information from all inverters and calculates the active and reactive output power references for each inverter based on the desired ratios of their output powers. The information from centralized control are then process by the FLC at each inverter to adjust the output voltage to an appropriate value to achieve the required power sharing. Several simulations have been conducted to verify the performance of the proposed power sharing scheme. 2017 2023-03-06T01:03:00Z 2023-03-06T01:03:00Z Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77976 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Electrical Systems Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Microgrids (Smart power grids)
Microgrid
Power sharing
Central controller
Fuzzy mathematics
Fuzzy logic
spellingShingle Microgrids (Smart power grids)
Microgrid
Power sharing
Central controller
Fuzzy mathematics
Fuzzy logic
Nurul Nadiah, Ayop
Development of an improved microgrid-centralize power sharing scheme using fuzzy logic controller
description Master of Science in Electrical System Engineering
author2 Mohd Azrik, Roslan, Dr.
author_facet Mohd Azrik, Roslan, Dr.
Nurul Nadiah, Ayop
format Thesis
author Nurul Nadiah, Ayop
author_sort Nurul Nadiah, Ayop
title Development of an improved microgrid-centralize power sharing scheme using fuzzy logic controller
title_short Development of an improved microgrid-centralize power sharing scheme using fuzzy logic controller
title_full Development of an improved microgrid-centralize power sharing scheme using fuzzy logic controller
title_fullStr Development of an improved microgrid-centralize power sharing scheme using fuzzy logic controller
title_full_unstemmed Development of an improved microgrid-centralize power sharing scheme using fuzzy logic controller
title_sort development of an improved microgrid-centralize power sharing scheme using fuzzy logic controller
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2017
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77976
_version_ 1772813066416685056
score 13.222552

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