Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 5 of 5
Full-Text Articles in Power and Energy
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 …