Full-mode control in utilizing stored energy in lithium-ion batteries based on forecasted PV output implemented for HEMS

Renewable energy resources such as photovoltaic (PV) and wind energy are crucial to counter an incoming energy crisis in the near future. Nevertheless, an intermittent behavior of input energy that is generated through PV panels requires a proper battery energy storage system (BESS) in order to alle...

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Main Author: Ahmad Syahiman, Mohd Shah
Format: Thesis
Language:English
Published: 2016
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Online Access:http://umpir.ump.edu.my/id/eprint/16953/19/Full-mode%20control%20in%20utilizing%20stored%20energy%20in%20lithium-ion%20batteries%20based%20on%20forecasted%20PV%20output%20implemented%20for%20HEMS.pdf
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spelling my-ump-ir.169532021-12-01T00:18:00Z Full-mode control in utilizing stored energy in lithium-ion batteries based on forecasted PV output implemented for HEMS 2016 Ahmad Syahiman, Mohd Shah TK Electrical engineering. Electronics Nuclear engineering Renewable energy resources such as photovoltaic (PV) and wind energy are crucial to counter an incoming energy crisis in the near future. Nevertheless, an intermittent behavior of input energy that is generated through PV panels requires a proper battery energy storage system (BESS) in order to alleviate', its output for the sake of the load. Moreover, when PV generators are integrated with storage batteries, a constructive mechanism needs to be well structured in order to securely control the flow of energy in the batteries during the charging/discharging process so that the risk of overcharge/ over-discharge of the batteries can be significantly prevented. Furthermore, it is extremely essential to implement a control method that is capable to fully utilize a stored energy in the scope of small-scale BESS to the load regularly in the first place before it is further scaled up to a farm-scale or mega-structure. In this study, an energy control scheme that considers and executes a next-day forecast of generation as an input data has been proposed. Originally, numerical weather predictions of solar radiation are performed based on Grid Point Value (GPV) using relative humidity, precipitation and cloud cover parameterization. Main approach is to test how sensitive the proposed scheme works with the entire system, experimentally and how it deals with errors that caused by the forecast data. Thus, the charging (generation) and discharging (consumption) processes of the batteries were performed separately during the day and night, respectively. The amount of energy consumption determined by this control is the necessary amount of energy to fully charge the batteries on the next day based on the GPV-forecast data and the maximum storage size of the batteries used in here is 30 Ah. Basically, experimental equipment was structured to form a stable 100 V DC power supply for the load and the system's operation was completely administered by an RX621 microcontroller. As a result, the forecasting errors, if any, on the days when generation was less than 10 Ah or more than 30 Ah, were negligible since 10 Ah or 30 111 Ah of energy were supplied from the batteries to the load consistently during rainy or sunny days, respectively. Impressively, average energy consumption for January to June 2015 is considerably high with approximately 20.7 Ah, respectively, which suggests that the proposed control succeeded in utilizing energy corresponded to over 95.1% of the average C for 2011-2014. Thus, it is desirable if the entire proposed system might become a trigger for other researchers to structure more comprehensive EMS applications that are more reliable, efficient and sophisticated in the future. 2016 Thesis http://umpir.ump.edu.my/id/eprint/16953/ http://umpir.ump.edu.my/id/eprint/16953/19/Full-mode%20control%20in%20utilizing%20stored%20energy%20in%20lithium-ion%20batteries%20based%20on%20forecasted%20PV%20output%20implemented%20for%20HEMS.pdf pdf en public phd doctoral Universiti Malaysia Pahang Faculty of Electrical & Electronic Engineering
institution Universiti Malaysia Pahang Al-Sultan Abdullah
collection UMPSA Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Ahmad Syahiman, Mohd Shah
Full-mode control in utilizing stored energy in lithium-ion batteries based on forecasted PV output implemented for HEMS
description Renewable energy resources such as photovoltaic (PV) and wind energy are crucial to counter an incoming energy crisis in the near future. Nevertheless, an intermittent behavior of input energy that is generated through PV panels requires a proper battery energy storage system (BESS) in order to alleviate', its output for the sake of the load. Moreover, when PV generators are integrated with storage batteries, a constructive mechanism needs to be well structured in order to securely control the flow of energy in the batteries during the charging/discharging process so that the risk of overcharge/ over-discharge of the batteries can be significantly prevented. Furthermore, it is extremely essential to implement a control method that is capable to fully utilize a stored energy in the scope of small-scale BESS to the load regularly in the first place before it is further scaled up to a farm-scale or mega-structure. In this study, an energy control scheme that considers and executes a next-day forecast of generation as an input data has been proposed. Originally, numerical weather predictions of solar radiation are performed based on Grid Point Value (GPV) using relative humidity, precipitation and cloud cover parameterization. Main approach is to test how sensitive the proposed scheme works with the entire system, experimentally and how it deals with errors that caused by the forecast data. Thus, the charging (generation) and discharging (consumption) processes of the batteries were performed separately during the day and night, respectively. The amount of energy consumption determined by this control is the necessary amount of energy to fully charge the batteries on the next day based on the GPV-forecast data and the maximum storage size of the batteries used in here is 30 Ah. Basically, experimental equipment was structured to form a stable 100 V DC power supply for the load and the system's operation was completely administered by an RX621 microcontroller. As a result, the forecasting errors, if any, on the days when generation was less than 10 Ah or more than 30 Ah, were negligible since 10 Ah or 30 111 Ah of energy were supplied from the batteries to the load consistently during rainy or sunny days, respectively. Impressively, average energy consumption for January to June 2015 is considerably high with approximately 20.7 Ah, respectively, which suggests that the proposed control succeeded in utilizing energy corresponded to over 95.1% of the average C for 2011-2014. Thus, it is desirable if the entire proposed system might become a trigger for other researchers to structure more comprehensive EMS applications that are more reliable, efficient and sophisticated in the future.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Ahmad Syahiman, Mohd Shah
author_facet Ahmad Syahiman, Mohd Shah
author_sort Ahmad Syahiman, Mohd Shah
title Full-mode control in utilizing stored energy in lithium-ion batteries based on forecasted PV output implemented for HEMS
title_short Full-mode control in utilizing stored energy in lithium-ion batteries based on forecasted PV output implemented for HEMS
title_full Full-mode control in utilizing stored energy in lithium-ion batteries based on forecasted PV output implemented for HEMS
title_fullStr Full-mode control in utilizing stored energy in lithium-ion batteries based on forecasted PV output implemented for HEMS
title_full_unstemmed Full-mode control in utilizing stored energy in lithium-ion batteries based on forecasted PV output implemented for HEMS
title_sort full-mode control in utilizing stored energy in lithium-ion batteries based on forecasted pv output implemented for hems
granting_institution Universiti Malaysia Pahang
granting_department Faculty of Electrical & Electronic Engineering
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/16953/19/Full-mode%20control%20in%20utilizing%20stored%20energy%20in%20lithium-ion%20batteries%20based%20on%20forecasted%20PV%20output%20implemented%20for%20HEMS.pdf
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