Vibroacoustic transformer condition monitoring

Throughout the life of a transformer the effects of mechanical shocks, insulation aging, thermal processes and short circuit forces will cause deformations in the winding. This deformation can lead to vibration in the transformer and mechanical fatigue of the solid insulation. Defects which form in a transformers structure can cause faults such as partial discharge, hot spots and arcing. These faults generate combustible gases which can be analysed for condition assessment of the transformer. The development of a suitable and cost effective vibration measurement system forms a key part of this research project. A monitoring system is developed for real-time vibration analysis. An embedded capacitive accelerometer is used in conjunction with an Arduino microcontroller to record vibrations. The sensor platform is designed to communicate wirelessly via XBee radios to a terminal computer. A software program and user interface is designed as a tool for analysis. The outcomes and benefits of these works are primarily based on determining the condition of transformer insulation through measurements of vibration. Following a working measurement system, suitable transformer sites are monitored. Spectral analysis is performed in the frequency domain to determine a correlation with gas analysis results. The validity of vibroacoustic measurement as a predictive maintenance tool is subsequently evaluated. Six transformers are chosen for vibration monitoring with analysis of the vibration signatures correlated to the dissolved gas analysis reports at each site. The vibration signatures at each location are analysed using the Short Time Fourier Transform and frequency peaks compared for the different sites. It was noted that sensor location does not have a large impact on vibration magnitudes and identifying the frequency components present in the signal. However, from the signatures obtained there is not enough variation in magnitude or frequency components to suggest that this method can identify the type of fault present

High Power, Medium Frequency, and Medium Voltage Transformer Design and Implementation

Many industrial applications that require high-power and high-voltage DC-DC conversion are emerging. Space-borne and off-shore wind farms, fleet fast electric vehicle charging stations, large data centers, and smart distribution systems are among the applications. Solid State Transformer (SST) is a promising concept for addressing these emerging applications. It replaces the traditional Low Frequency Transformer (LFT) while offering many advanced features such as VAR compensation, voltage regulation, fault isolation, and DC connectivity. Many technical challenges related to high voltage stress, efficiency, reliability, protection, and insulation must be addressed before the technology is ready for commercial deployment. Among the major challenges in the construction of SSTs are the strategies for connecting to Medium Voltage (MV) level. This issue has primarily been addressed by synthesizing multicellular SST concepts based on modules rated for a fraction of the total MV side voltage and connecting these modules in series at the input side. Silicon Carbide (SiC) semiconductor development enables the fabrication of power semiconductor devices with high blocking voltage capabilities while achieving superior switching and conduction performances. When compared to modular lower voltage converters, these higher voltage semiconductors enable the construction of single-cell SSTs by avoiding the series connection of several modules, resulting in simple, reliable, lighter mass, more power dense, higher efficiency, and cost effective converter structures. This dissertation proposes a solution to this major issue. The proposed work focuses on the development of a dual active bridge with high power, medium voltage, and medium frequency control. This architecture addresses the shortcomings of existing modular systems by providing a more power dense, cost-effective, and efficient solution. For the first time, this topology is investigated on a 700kW system connected to a 13kVdc input to generate 7.2kVdc at the output. The use of 10kV SiC modules and gate drivers in an active neutral point clamped to two level dual active bridge converter is investigated. A special emphasis will be placed on a comprehensive transformer design that employs a multi-physics approach that addresses all magnetic, electrical, insulation, and thermal aspects. The transformer is designed and tested to ensure the system’s viability

Real-time thermal state and component loading estimation in active distribution networks

Highly stochastic loading and distributed generation in the emerging active distribution networks means that electric utilities need to deploy intelligent network management tools in order to use their assets to the fullest. Real-Time Thermal Rating (RTTR) provides the possibility for short term and even real-time active distribution network management, enabling the network to run closer to an overload state without damage. In this dissertation, pertinent developments and proposals are presented in three stages on the path towards the development of a real-time monitoring and operation system for active distribution networks. The first stage is the development of distribution network component thermal models for real time implementation. In this dissertation, a numerical model of the air-gap convective heat transfer for underground cable installations inside unfilled conduit is developed. In addition, a dynamic thermal model is developed for prefabricated secondary substation cabins. The most dominant but difficult to solve heat transfer mechanism, natural convection, is modelled by introducing the stack effect principle into the problem. Measurements from a scaled model of prefabricated substations, measurements from actual cabins and 3D Finite Element Method (FEM) simulations are used to validate the numerical model. In the second stage, this dissertation explores the usability of customer level automatic meter reading (AMR) measurements for distribution network state estimation and for load forecasting applications. A method to forecast substation level loads with their respective confidence intervals using hourly AMR metered customer level consumptions is presented. The forecasting and monitoring of a distribution network in real-time can be met with the modeling of classified type load classes. However, it requires careful incorporation of the necessary factors, such as within-group and between-group correlations of customer classes. Binding the aforementioned findings, in the third stage, a framework for day-ahead hour-by-hour thermal state forecasting and thermal ratings of distribution network components is proposed and studied. This work has demonstrated that up to three hours ahead thermal state forecasting of an active distribution network can be achieved with an acceptable level of accuracy. In this dissertation, the benefits and practical implications of the real-time thermal rating are investigated. The introduction of real-time thermal rating in an active distribution network management system enhances the loading capacity significantly compared to static rating. This has been revealed through an increased utilization of installed DGs and through better integration potential of additional DGs

Magnetic Material Modelling of Electrical Machines

The need for electromechanical energy conversion that takes place in electric motors, generators, and actuators is an important aspect associated with current development. The efficiency and effectiveness of the conversion process depends on both the design of the devices and the materials used in those devices. In this context, this book addresses important aspects of electrical machines, namely their materials, design, and optimization. It is essential for the design process of electrical machines to be carried out through extensive numerical field computations. Thus, the reprint also focuses on the accuracy of these computations, as well as the quality of the material models that are adopted. Another aspect of interest is the modeling of properties such as hysteresis, alternating and rotating losses and demagnetization. In addition, the characterization of materials and their dependence on mechanical quantities such as stresses and temperature are also considered. The reprint also addresses another aspect that needs to be considered for the development of the optimal global system in some applications, which is the case of drives that are associated with electrical machines

Power Electronics and Energy Management for Battery Storage Systems

The deployment of distributed renewable generation and e-mobility systems is creating a demand for improved dynamic performance, flexibility, and resilience in electrical grids. Various energy storages, such as stationary and electric vehicle batteries, together with power electronic interfaces, will play a key role in addressing these requests thanks to their enhanced functionality, fast response times, and configuration flexibility. For the large-scale implementation of this technology, the associated enabling developments are becoming of paramount importance. These include energy management algorithms; optimal sizing and coordinated control strategies of different storage technologies, including e-mobility storage; power electronic converters for interfacing renewables and battery systems, which allow for advanced interactions with the grid; and increase in round-trip efficiencies by means of advanced materials, components, and algorithms. This Special Issue contains the developments that have been published b researchers in the areas of power electronics, energy management and battery storage. A range of potential solutions to the existing barriers is presented, aiming to make the most out of these emerging technologies

Optimal Power Conversion System Architectures for Utility-Scale Solar-Plus-Storage Farms

For utility-scale photovoltaic (PV) projects, solar-plus-storage (SPS) has become an increasingly favored configuration owing to significantly reduced PV and battery storage costs, improved energy dispatchability, and grid-support services with added storage. However, the state-of-the-art power conversion system (PCS) architectures based on central and string inverters feature a low-voltage direct-current (DC)/alternating-current (AC) distribution with underground cables inside solar farms, inducing significant copper losses and costs. Furthermore, these two approaches require additional converters to integrate the paired battery storage, resulting in extra investment and maintenance effort. These factors result in an increased Levelized Cost of Electricity (LCOE) of utility-scale SPS farms and thus dampen the continued proliferation of solar energy. The objective of this research is to propose three new medium-voltage AC (MVAC) PCS architectures to reduce the LCOE of utility-scale SPS farms and thus accelerate the deployment of dispatchable and low-cost solar energy. These three proposed approaches, namely tri-port medium-voltage string inverter (TMVSI), multi-port DC transformer (MDCT), and massively distributed micro-multiport converter (µMC), enable localized DC-coupled battery storage, an MVAC distribution network using standard and low-cost overhead lines, and distributed layout of power conditioning units across the plant with scalable SPS farm building block design. Throughout this dissertation, a 300 kVA/4 kVac TMVSI has been designed, built, and tested to validate its effectiveness and viability, with a focus on the medium-frequency transformer design and control optimization. In addition, enhanced energy dispatchability and grid-support services of a 20 MW/80 MWh TMVSI-based SPS farm have been demonstrated. Finally, a framework for system-level LCOE analysis has been established to validate the advantages of the proposed MVAC architectures in reducing system LCOE of utility-scale SPS farms over a wide range of inverter-loading-ratios.Ph.D

Energy Efficient Window Development

The paper investigates the development of energy efficient windows in the past 30 years. The focus is on the development and interlinkages among technology, actors´ interaction and market diffusion in a broader policy context. The paper shows that in singular development cycles, different factors and the interfaces among these factors influenced the improvement and penetration of energy efficient window technologies. Such factors includes a) surrounding factors, such as climate characteristics, oil crisis and international concerns and strategies, b) policy instruments, like building codes and technology procurement programs, as well as c) industry initiatives, including niche market strategies