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The application of droop control as the sole mechanism for power management in microgrids is limited due to its difficulty in achieving operational economy and regulation of frequency. Consequentially, these needs are usually managed using higher level communication-based distributed or centralised control layers. To address these issues, this paper introduces an alternative approach for power management...
This paper investigates the fault ride-through (FRT) capability of a hybrid AC/DC microgrid during both AC and DC network faults. In this investigation, commonly proposed FRT strategies for the distributed energy resources and AC and DC microgrids are implemented while the interlinking bidirectional converter is operated in power transfer mode. The investigations have shown that improvement in the...
This paper presents a new approach for generation source management in a dc microgrid, which uses a hybrid isochronous-droop (HID) control strategy to overcome the inherent drawbacks of traditional droop control and achieve a performance more towards that which can be achieved by communication-based distributed or centralized control schemes. In particular, the approach allows the number of dc sources...
Electricity grids around the world are undergoing a fundamental transformation, thanks to the modernization of electricity distribution systems including smart meter deployment and applications. Data generated by smart meters provides a wealth of information that can help better understand and optimize the operation of electricity networks. This paper proposes a novel Hybrid Load Profile Clustering...
This paper presents an improved methodology for selecting a core for higher power inductors, by using a more advanced approach to select initial values for the Window Utilization Factor (WUF) and the Core to DC Copper Loss Ratio (CCLR) as the two key starting parameters for the inductor design process. The paper identifies the reasons why the conventional starting point assumptions for the WUF and...
Electric Field Energy Harvesting (EFEH) systems use the high voltage power lines of an electrical grid to provide power for the low cost distributed electronic measurement systems that are needed to monitor these lines for Smart Grid operation. However, the challenge with EFEH is to extract useful amounts of energy while avoiding close proximity to (or even galvanic contact with) the power line. The...
This paper presents a comparative evaluation of the loss and thermal performance of two advanced three-level inverter topologies, namely the SiC based T-Type and the Hybrid-NPC, both of which are aimed at reducing the high switching losses associated with a conventional Si based T-Type inverter. The first solution directly replaces the 1200V primary Si IGBT switches with lower loss 1200V SiC MOSFETs...
This paper proposes a novel inductor/transformer design support system that seamlessly integrates a knowledge-based design advisor and a FEA tool to automate the magnetic design process. The encoded expert knowledge is not only used to guide the design generation, but is also used to automatically configure the settings for FEA analysis and process the returned FEA results. The level of automation...
This paper presents an integrated design process that combines theoretical analysis and heuristic verification to develop the magnetic components of a commercial 2.5-kW bidirectional charging system for a vanadium flow battery. The design process aims to fulfill a rigid set of electrical, mechanical, and thermal requirements for the battery charger. The design has been verified using simulation and...
As penetration levels of PV Distributed Generation (DG) continue to increase into Low Voltage distribution feeders, electrical utility companies are finding that traditional strategies for managing the voltage profile along these feeders are becoming less effective because of the bidirectional variations in real power flow that are caused by these PV systems. Various strategies have been proposed...
One essential requirement for a modern Smart Grid is continuous monitoring of the grid variables. This task is efficiently achieved using self-powered electronic devices deployed throughout the grid network. Within the vicinity of the grid power lines, the high voltages of these lines can provide a source of energy for such loads using capacitive coupling. This is known as Electric-Field Energy Harvesting...
While Australia's current electricity generation is primarily based on its vast coal and gas fossil fuel reserves, it is also rich in solar and wind renewable energy resources. If these energy sources can be used to replace fossil fuel to generate electricity, Australia's contribution to worldwide greenhouse gas emissions would be substantially reduced. However, a primarily renewable electrical generation...
This study catalogs the various wireless communication technologies for the smart grid, irrespective of where they are positioned in the grid, (i.e. WAN, NAN or HAN) into two distinct categories; depending upon their frequency band requirement for unlicensed or licensed operation. The licenses are regulated and can significantly contribute to the considerable delays in returns of investment and the...
Designing power transformers and magnetic components is well recognized as a highly complicated process because of the large number of design variables, component alternatives and mutual dependencies that have to be considered. Therefore, today's power magnetic design processes heavily utilise computers, to shorten the development cycle and save the costs. A significant number of studies have been...
Robust grid synchronisation of power electronic converters is essential for their use with Distributed Generation Systems. A considerable number of techniques have been proposed to address this issue, but often their performance is not fully validated using a consistent experimental setup. Furthermore, even when experimental validation is used, there is still a lack of rigour in many of the evaluative...
Smart meters are being gradually adopted by energy providers for commercial use due to multiple benefits. The extraction of actionable knowledge from smart meter readings can lead to informed decision-making in demand forecasting and consumption analysis. This paper extends an incremental learning approach for pattern characterization in a smart meter data stream environment, with the incorporation...
Plug-in Hybrid Electrical Vehicle (PHEV) is attracting an increasing attention due to its benefits to reduce fuel consumption and greenhouse gas emissions, improve energy efficiency. This paper investigates the relationship between reducing PHEV charging costs and power quality improvement. A multi-objective Particle Swarm Intelligence algorithm for optimizing the charging process is proposed, which...
This paper presents a novel methodology for the incremental characterization and prediction of electricity consumption based on smart meter readings. A self-learning algorithm is developed to incrementally discover patterns in a data stream environment and sustain acquired knowledge for subsequent learning. It generates an evolving columnar structure composed of learning outcomes from each phase....
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