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Articles 1 - 11 of 11
Full-Text Articles in Engineering
Optimal Sizing And Energy Scheduling Of Grid-Supplemented Solar Pv Systems With Battery Storage: Sensitivity Of Reliability And Financial Constraints, Aakash Hassan, Yasir M. Al-Abdeli, Martin Masek, Octavian Bass
Optimal Sizing And Energy Scheduling Of Grid-Supplemented Solar Pv Systems With Battery Storage: Sensitivity Of Reliability And Financial Constraints, Aakash Hassan, Yasir M. Al-Abdeli, Martin Masek, Octavian Bass
Research outputs 2022 to 2026
Establishing reliable, clean, and inexpensive solar PV systems is a complex interplay between the level of reliability (LPSP), financial constraints, and CO2 emissions. This paper investigates the impact of these factors on stand-alone (SA) and grid-supplemented (GS) solar PV systems over multiple seasons. The research uses established hardware models, detailed power management strategies as well as realistic Australian grid tariffs and Genetic Algorithms to find the minimum Cost of Energy (COE) subject to LPSP and financial constraints. The developed power management strategies are also tested experimentally on a real solar PV system. The results indicate that the grid-supplemented system yields …
An Intelligent Controlling Method For Battery Lifetime Increment Using State Of Charge Estimation In Pv-Battery Hybrid System, Md Ohirul Qays, Yonis Buswig, Hazrul Basri, Md Liton Hussain, Ahmed Abu-Siada, Md Momtazur Rahman, S. M. Muyeen
An Intelligent Controlling Method For Battery Lifetime Increment Using State Of Charge Estimation In Pv-Battery Hybrid System, Md Ohirul Qays, Yonis Buswig, Hazrul Basri, Md Liton Hussain, Ahmed Abu-Siada, Md Momtazur Rahman, S. M. Muyeen
Research outputs 2014 to 2021
In a photovoltaic (PV)-battery integrated system, the battery undergoes frequent charging and discharging cycles that reduces its operational life and affects its performance considerably. As such, an intelligent power control approach for a PV-battery standalone system is proposed in this paper to improve the reliability of the battery along its operational life. The proposed control strategy works in two regulatory modes: maximum power point tracking (MPPT) mode and battery management system (BMS) mode. The novel controller tracks and harvests the maximum available power from the solar cells under different atmospheric conditions via MPPT scheme. On the other hand, the state …
Strategies To Improve The Thermal Performance Of Heat Pipe Solar Collectors In Solar Systems: A Review, Abdellah Sharifian, Mehdi Khiadani, Ataollah Nosrati
Strategies To Improve The Thermal Performance Of Heat Pipe Solar Collectors In Solar Systems: A Review, Abdellah Sharifian, Mehdi Khiadani, Ataollah Nosrati
Research outputs 2014 to 2021
Invention of evacuated tube heat pipe solar collectors (HPSCs) was a huge step forward towards resolving the challenges of conventional solar systems due to their unique features and advantages. This has led to their utilization in a wide range of solar applications surpassing other conventional collectors. However, relatively low thermal efficiency of heat pipe solar (HPS) systems is still the major challenge of solar industry evidenced by numerous studies conducted mainly during the last decade to improve their efficiency. To date, several review papers have been published summarizing studies relevant to utilization of HPSCs in various thermal applications. However, to …
Optimal Placement Of Distributed Energy Storage Systems In Distribution Networks Using Artificial Bee Colony Algorithm, Choton K. Das, Octavian Bass, Ganesh Kothapalli, Thair S. Mahmoud, Daryoush Habibi
Optimal Placement Of Distributed Energy Storage Systems In Distribution Networks Using Artificial Bee Colony Algorithm, Choton K. Das, Octavian Bass, Ganesh Kothapalli, Thair S. Mahmoud, Daryoush Habibi
Research outputs 2014 to 2021
The deployment of utility-scale energy storage systems (ESSs) can be a significant avenue for improving the performance of distribution networks. An optimally placed ESS can reduce power losses and line loading, mitigate peak network demand, improve voltage profile, and in some cases contribute to the network fault level diagnosis. This paper proposes a strategy for optimal placement of distributed ESSs in distribution networks to minimize voltage deviation, line loading, and power losses. The optimal placement of distributed ESSs is investigated in a medium voltage IEEE-33 bus distribution system, which is influenced by a high penetration of renewable (solar and wind) …
Grey Wolf Optimization-Based Optimum Energy-Management And Battery-Sizing Method For Grid-Connected Microgrids, Kutaiba Sabah Nimma, Monaaf D. A. Al-Falahi, Hung Duc Nguyen, S. D. G. Jayasinghe, Thair Mahmoud, Michael Negnevitsky
Grey Wolf Optimization-Based Optimum Energy-Management And Battery-Sizing Method For Grid-Connected Microgrids, Kutaiba Sabah Nimma, Monaaf D. A. Al-Falahi, Hung Duc Nguyen, S. D. G. Jayasinghe, Thair Mahmoud, Michael Negnevitsky
Research outputs 2014 to 2021
In the revolution of green energy development, microgrids with renewable energy sources such as solar, wind and fuel cells are becoming a popular and effective way of controlling and managing these sources. On the other hand, owing to the intermittency and wide range of dynamic responses of renewable energy sources, battery energy-storage systems have become an integral feature of microgrids. Intelligent energy management and battery sizing are essential requirements in the microgrids to ensure the optimal use of the renewable sources and reduce conventional fuel utilization in such complex systems. This paper presents a novel approach to meet these requirements …
Fuzzy Interference System In Energy Demand Prediction, Thair Mahmoud, Daryoush Habibi, Octavian Bass, Stefan Lachowicz
Fuzzy Interference System In Energy Demand Prediction, Thair Mahmoud, Daryoush Habibi, Octavian Bass, Stefan Lachowicz
Research outputs 2012
No abstract available.
Upgrade A Medium Size Enterprise Power System With Wind And Solar Sources: Design, Financial And Environmental Perspectives, Thair Mahmoud, Daryoush Habibi, Octavian Bass
Upgrade A Medium Size Enterprise Power System With Wind And Solar Sources: Design, Financial And Environmental Perspectives, Thair Mahmoud, Daryoush Habibi, Octavian Bass
Research outputs 2011
Efficient generation and distribution are crucial for economic power production. In this paper we discuss the planning and design of upgrading a medium size enterprise power system by installing Distributed Energy Resources (DERs), with particular emphasis on economic viability and environmental benefits. The planning for this project considers both conventional grid and SmartGrid connections. Project planning, installation challenges and governmental support of renewable energy projects in Australia are discussed. It is found that upgrading a medium size enterprise power system with DERs can yield reasonable levels of energy cost savings and greenhouse gas mitigation with both conventional grid and SmartGrid …
Tuning Fuzzy Systems To Achieve Economic Dispatch For Microgrids, Thair Mahmoud, Daryoush Habibi, Octavian Bass, Stefan W. Lachowicz
Tuning Fuzzy Systems To Achieve Economic Dispatch For Microgrids, Thair Mahmoud, Daryoush Habibi, Octavian Bass, Stefan W. Lachowicz
Research outputs 2011
In this paper, a Tuning Fuzzy System (TFS) is used to improve the energy demand forecasting for a medium-size microgrid. As a case study, the energy demand of the Joondalup Campus of Edith Cowan University (ECU) in Western Australia is modelled. The developed model is required to perform economic dispatch for the ECU microgrid in islanding mode. To achieve an active economic dispatch demand prediction model, actual load readings are considered. A fuzzy tuning mechanism is added to the prediction model to enhance the prediction accuracy based on actual load changes. The demand prediction is modelled by a Fuzzy Subtractive …
Load Demand Forecasting: Model Inputs Selection, Thair Mahmoud, Daryoush Habibi, Octavian Bass, Stefan W. Lachowicz
Load Demand Forecasting: Model Inputs Selection, Thair Mahmoud, Daryoush Habibi, Octavian Bass, Stefan W. Lachowicz
Research outputs 2011
Developing a good demand forecasting model is the art of identifying the best modelling parameters. Improving the forecasting performance needs to study the input/output parameters of the system to identify the effective forecasting variables. In this paper, the energy demand of Joondalup Campus of Edith Cowan University (ECU) in Western Australia has been selected as a case study for the design and verification of a suitable forecasting model. Fuzzy Subtractive Clustering Method (FSCM) based Adaptive Neuro Fuzzy Inference System (ANFIS) is used as a proposed modelling network in this paper. Basically, three-input forecasting models have been developed based on 12-month …
An Optimal Current Control Strategy For A Three-Phase Grid-Connected Photovoltaic System Using Particle Swarm Optimization, Waleed Al-Saedi, Stefan W. Lachowicz, Daryoush Habibi
An Optimal Current Control Strategy For A Three-Phase Grid-Connected Photovoltaic System Using Particle Swarm Optimization, Waleed Al-Saedi, Stefan W. Lachowicz, Daryoush Habibi
Research outputs 2011
A robust current control strategy for PV (photovoltaic) grid-connected systems is required for reliable use of solar energy as an abundant and clean renewable energy. This paper presents real time optimization parameters of the current control strategy for a 3-phase photovoltaic grid-connected Voltage Source Inverter (VSI) system. The proposed controller scheme is implemented based on a synchronous reference frame; the Phase-Locked Loop (PLL) is used as grid phase detector. Particle Swarm Optimization (PSO) algorithm is an intelligent searching algorithm that is used to implement the real time self-tuning method for the current control parameters. Two conventional PI controllers are used …
Power Quality Improvement In Autonomous Microgrid Operation Using Particle Swarm Optimization, Waleed Al-Saedi, Stefan W. Lachowicz, Daryoush Habibi, Octavian Bass
Power Quality Improvement In Autonomous Microgrid Operation Using Particle Swarm Optimization, Waleed Al-Saedi, Stefan W. Lachowicz, Daryoush Habibi, Octavian Bass
Research outputs 2011
This paper presents an optimal power control strategy for an autonomous microgrid operation based on a real-time self-tuning method. The purpose of this work is to improve the quality of power supply where Distributed Generation (DG) units are connected to the grid. Dynamic response and harmonics distortion are the two main performance parameters which are considered in this work, particularly when the microgrid is islanded. The controller scheme is composed of an inner current control loop and an outer power control loop based on a synchronous reference frame and the conventional PI regulators. Particle Swarm Optimization (PSO) is an intelligent …