Incorporating decentralized renewable energy in smart grid using Zigbeepro

Distributed Renewable Generation (DRG) is one of the major components ofthe Smart Grid (SG) from where the real-time energy information is expectedto export to control center for demand management and energy forecasting.For this export service, low-powered and low-data rate ommunicationprotocol, e.g...

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Main Author:	Syed Zahurul, Islam
Format:	Thesis
Language:	English
Published:	2016
Subjects:	Smart power grid Renewable energy sources Sensor networks
Online Access:	http://psasir.upm.edu.my/id/eprint/70363/1/FK%202016%2060%20-%20IR.pdf
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id	my-upm-ir.70363
record_format	uketd_dc
spelling	my-upm-ir.703632019-08-28T06:56:40Z Incorporating decentralized renewable energy in smart grid using Zigbeepro 2016-02 Syed Zahurul, Islam Distributed Renewable Generation (DRG) is one of the major components ofthe Smart Grid (SG) from where the real-time energy information is expectedto export to control center for demand management and energy forecasting.For this export service, low-powered and low-data rate ommunicationprotocol, e.g. ZigBeePRO is targeted for achieving the DRG communication requirement where reliability and critical demand of data delivery are not mandatory. In this thesis, the aim is to determine seasonal performance evaluation and energy yield modelling of the two photovoltaic (PV) modules, namely, Amorphous Silicon (A-Si) and Crystalline Silicon (C-Si) for Feed-in-Tariff (FiT) or DRG. Several other properties of the DRG solar environment,such as presence of various dielectric constant materials and uneven presence of obstacles are also considered in the analysis. To achieve these aims,shortest and strongest Received Signal Strength Indicator (RSSI) weighted path signal of ZigBeePRO is modelled relying on a real test-bed, 35kW solar DRG at Universiti Putra Malaysia (UPM). ZigBeePRO radio, Waspmote embedded board, and electrical and environmental parameters’ measurement sensors are coalesced into a sensor-node which are installed at the existing 10kW UPM solar DRG site. Based on the seamless acquiring and importing of these parameters from the DRG site to the control centre, the two types of PV modules’ performance are analysed which show significant variations in energy yield in tropical Malaysia. Moreover, the performance of data collection also shows that ZigBeePRO is recommended over ZigBee S1 for this specific purpose of SG where there is no strict-time and high demanding requirement of data delivery. Smart power grid Renewable energy sources Sensor networks 2016-02 Thesis http://psasir.upm.edu.my/id/eprint/70363/ http://psasir.upm.edu.my/id/eprint/70363/1/FK%202016%2060%20-%20IR.pdf text en public doctoral Universiti Putra Malaysia Smart power grid Renewable energy sources Sensor networks
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Smart power grid Renewable energy sources Sensor networks
spellingShingle	Smart power grid Renewable energy sources Sensor networks Syed Zahurul, Islam Incorporating decentralized renewable energy in smart grid using Zigbeepro
description	Distributed Renewable Generation (DRG) is one of the major components ofthe Smart Grid (SG) from where the real-time energy information is expectedto export to control center for demand management and energy forecasting.For this export service, low-powered and low-data rate ommunicationprotocol, e.g. ZigBeePRO is targeted for achieving the DRG communication requirement where reliability and critical demand of data delivery are not mandatory. In this thesis, the aim is to determine seasonal performance evaluation and energy yield modelling of the two photovoltaic (PV) modules, namely, Amorphous Silicon (A-Si) and Crystalline Silicon (C-Si) for Feed-in-Tariff (FiT) or DRG. Several other properties of the DRG solar environment,such as presence of various dielectric constant materials and uneven presence of obstacles are also considered in the analysis. To achieve these aims,shortest and strongest Received Signal Strength Indicator (RSSI) weighted path signal of ZigBeePRO is modelled relying on a real test-bed, 35kW solar DRG at Universiti Putra Malaysia (UPM). ZigBeePRO radio, Waspmote embedded board, and electrical and environmental parameters’ measurement sensors are coalesced into a sensor-node which are installed at the existing 10kW UPM solar DRG site. Based on the seamless acquiring and importing of these parameters from the DRG site to the control centre, the two types of PV modules’ performance are analysed which show significant variations in energy yield in tropical Malaysia. Moreover, the performance of data collection also shows that ZigBeePRO is recommended over ZigBee S1 for this specific purpose of SG where there is no strict-time and high demanding requirement of data delivery.
format	Thesis
qualification_level	Doctorate
author	Syed Zahurul, Islam
author_facet	Syed Zahurul, Islam
author_sort	Syed Zahurul, Islam
title	Incorporating decentralized renewable energy in smart grid using Zigbeepro
title_short	Incorporating decentralized renewable energy in smart grid using Zigbeepro
title_full	Incorporating decentralized renewable energy in smart grid using Zigbeepro
title_fullStr	Incorporating decentralized renewable energy in smart grid using Zigbeepro
title_full_unstemmed	Incorporating decentralized renewable energy in smart grid using Zigbeepro
title_sort	incorporating decentralized renewable energy in smart grid using zigbeepro
granting_institution	Universiti Putra Malaysia
publishDate	2016
url	http://psasir.upm.edu.my/id/eprint/70363/1/FK%202016%2060%20-%20IR.pdf
_version_	1747812822412165120

Incorporating decentralized renewable energy in smart grid using Zigbeepro

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