7 research outputs found

    Non-PLL Direct Power Control for a Single-Phase Grid-Connected Three-Level Inverter

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    The growing demand for clean, reliable renewable energy generation has led to the widespread adoption of solar energy as a source of electricity. Technological advancement aiding to reduce the cost of solar photovoltaic (PV) panels, as well as improvement in power electronics and control strategies for solar PV systems have also contributed to the growing popularity. For grid-connected solar systems to adequately meet future demand and grid requirements, the system must be reliable, and not affected by instability or distortions on the power grid. In this thesis, a control strategy for single-phase grid-connected inverters that can synchronize to the grid without a phase lock loop (PLL) is proposed. The PLL is an important device that is relied on for the synchronization of solar PV systems to the electrical grid. However, the PLL has an inherently complex design and its performance is often negatively affected if the grid voltage has poor quality. In addition, eliminating the use of PLL for synchronization can avoid the issue of slow dynamic response, higher harmonics, and increased computation complexity. The real and reactive power of the single-phase, three-level neutral point clamped (NPC) inverter is controlled by using a direct power control (DPC) strategy. A novel method of computing the power components of the single-phase inverter is proposed and this technique further improves the precision of the power components calculated by compensating the frequency and phase deviation compensation. Finally, simulations are carried out by using MATLAB/Simulink to demonstrate the effectiveness of the proposed methodology

    Reliable Grid Condition Detection and Control of Single-Phase Distributed Power Generation Systems

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    Real-time Modelling, Diagnostics and Optimised MPPT for Residential PV Systems

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    The work documented in the thesis has been focused into two main sections. The first part is centred around Maximum Power Point Tracking (MPPT) techniques for photovoltaic arrays, optimised for fast-changing environmental conditions, and is described in Chapter 2. The second part is dedicated to diagnostic functions as an additional tool to maximise the energy yield of photovoltaic arrays (Chapter 4). Furthermore, mathematical models of PV panels and arrays have been developed and built (detailed in Chapter 3) for testing MPPT algorithms, and for diagnostic purposes.In Chapter 2 an overview of the today’s most popular MPPT algorithms is given, and, considering their difficulty in tracking under variable conditions, a simple technique is proposed to overcome this drawback. The method separates the MPPT perturbation effects from environmental changes and provides correct information to the tracker, which is therefore not affected by the environmental fluctuations. The method has been implemented based on the Perturb and Observe (P&O), and the experimental results demonstrate that it preserves the advantages of the existing tracker in being highly efficient during stable conditions, having a simple and generic nature, and has the benefit of also being efficient in fast-changing conditions. Furthermore, the algorithm has been successfully implemented on a commercial PV inverter, currently on the market. In Chapter 3, an overview of the existing mathematical models used to describe the electrical behaviour of PV panels is given, followed by the parameter determination for the five-parameter single-exponential model based on datasheet values, which has been used for the implementation of a PV simulator taking in account the shape, size ant intensity of partial shadow in respect to bypass diodes.In order to eliminate the iterative calculations for parameter determinations, a simplified three-parameter model is used throughout Chapter 4, dedicated to diagnostic functions of PV panels. Simple analytic expressions for the model important parameters, which could reflect deviations from the normal (e.g. from datasheet or reference measurement) I −V characteristic, is proposed.A considerable part of the thesis is dedicated to the diagnostic functions of crystalline photovoltaic panels, aimed to detect failures related to increased series resistance and partial shadowing, the two major factors responsible for yield-reduction of residential photovoltaic systems.Combining the model calculations with measurements, a method to detect changes in the panels’ series resistance based on the slope of the I − V curve in the vicinity of open-circuit conditions and scaled to Standard Test Conditions (STC) , is proposed. The results confirm the benefits of the proposed method in terms of robustness to irradiance changes and to partial shadows.In order to detect partial shadows on PV panels, a method based on equivalent thermal voltage (Vt) monitoring is proposed. Vt is calculated using the simplified three-parameter model, based on experimental curve. The main advantages of the method are the simple expression for Vt, high sensitivity to even a relatively small area of partial shadow and very good robustness against changes in series resistance.Finally, in order to quantify power losses due to different failures, e.g. partial shadows or increased series resistance, a model based approach has been proposed to estimate the panel rated power (in STC). Although it is known that the single-exponential model has low approximation precision at low irradiation conditions, using the previously determined parameters it was possible to achieve relatively good accuracy. The main advantage of the method is that it relies on already determined parameters (Rsm, Vt) based on measurements, therefore reducing the errors introduced by the limitation of the single-exponential model especially at low irradiation conditions

    Renewable Energy

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    Renewable Energy is energy generated from natural resources - such as sunlight, wind, rain, tides and geothermal heat - which are naturally replenished. In 2008, about 18% of global final energy consumption came from renewables, with 13% coming from traditional biomass, such as wood burning. Hydroelectricity was the next largest renewable source, providing 3% (15% of global electricity generation), followed by solar hot water/heating, which contributed with 1.3%. Modern technologies, such as geothermal energy, wind power, solar power, and ocean energy together provided some 0.8% of final energy consumption. The book provides a forum for dissemination and exchange of up - to - date scientific information on theoretical, generic and applied areas of knowledge. The topics deal with new devices and circuits for energy systems, photovoltaic and solar thermal, wind energy systems, tidal and wave energy, fuel cell systems, bio energy and geo-energy, sustainable energy resources and systems, energy storage systems, energy market management and economics, off-grid isolated energy systems, energy in transportation systems, energy resources for portable electronics, intelligent energy power transmission, distribution and inter - connectors, energy efficient utilization, environmental issues, energy harvesting, nanotechnology in energy, policy issues on renewable energy, building design, power electronics in energy conversion, new materials for energy resources, and RF and magnetic field energy devices

    Design and Control of On-board Bidirectional Battery Chargers with Islanding Detection for Electric Vehicle Applications

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    Electric vehicles have gained popularity over the last decade due to concerns regarding climate change as well as depleting fossil fuel reserves. One of the important components of electric vehicles is the battery charging system that has been the focus of recent research interest in terms of vehicle to grid (V2G) power transfer with the aim of providing peak load levelling for the grid as well as a buffer for excess renewable energy. The research addressed in this thesis is focused on single-phase on- board bidirectional chargers for electric vehicle applications where emphasis is given to the design, control and islanding detection aspects. A comparative study between a low frequency transformer based and high frequency DAB based bidirectional charging system is carried out and the weight, cost and efficiency between the two topologies compared. An optimised LCL filter design method for the two converters is presented which characterises the high frequency current ripple as well as the losses in the damping resistor. Controller design, simulation and experimental validation of the two converters are also presented. The impact of 3rd harmonics on the performance of second order generalised integrator (SOGI) phase locked loops (PLLs) is investigated through an analytical method to predict the resulting output harmonic magnitudes. Two modified SOGI PLLs are presented where the harmonic rejection performance has been improved. A new PLL structure based on the novel IIR filter proposed by Ed Daw et al. is investigated for application in grid converters. The new PLL is evaluated with hardware-in-the-loop (HIL) simulations for transient and abnormal grid conditions and compared with the SOGI PLL for performance evaluation as well as computational requirements. The new PLL is validated in bidirectional charger hardware. A new islanding detection algorithm based on the detection of high frequency switching harmonic signature with frequency hopping is presented which has the advantage of multi-inverter compatibility. The difficulty in detection for PWM harmonic based methods when capacitive loads are present is analysed. Furthermore, the algorithm is validated in hardware
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