Phd thesis distributed generation

Publicado em Agosto 2017

This time, the state parameters are obtained through matrix arrangements where the noise level is reduced on the sample vector. phd thesis distributed generation Distributed Generation (DG) has been recently introduced as a new concept for the generation of power and the enhancement of conventionally produced electricity. The simulations results for the parameters of signal estimated are enhanced due to the correct settings applied. Also, noise and harmonic distortions can impact the performance of the control strategies. Source and load unbalance, load phd research proposal rationale non-linearity, interharmonic distortion, supply voltage distortion, distortion at the point of common phd thesis distributed generation coupling phd thesis distributed generation in weak source cases, source current power factor, and synchronism of generated currents or voltages are the issues of concern. Also, this time the ability of the proposed algorithm is verified on the real data obtained from a prototype test object. Some works are not in either database the impact of hazards essay and no count is displayed. Several simulation tests provided in this chapter show that the proposed scheme can very well handle the source and load unbalance, load non-linearity, interharmonic distortion, supply voltage distortion, and synchronism of generated currents or voltages. Therefore, an appropriate combination of the LES and modified Kalman filtering is proposed in Chapter 6. New initial settings for the modified Kalman filter are calculated based on the coefficients of the digital filter applied. However, this time an optimal digital filter is designed instead of the simple phd thesis dissertation questions summation FIR filter. The interconnection of DG systems to power system as a compensator or a power source with high quality performance is the main aim of this study. The interconnection of DG sources shall be carried out by using power electronics switching devices that inject high frequency components rather than the desired current. The Kalman filter is also modified to operate on the output signal of the same FIR filter explained above. These methods are based on processing the digital samples of power system signals. Also, the ability of the proposed algorithm is verified on the real data obtained from a prototype test object. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards. Chapter 6 proposes another algorithm based on the concept of Kalman filtering similar to that of Chapter 3. Technically, DG can be a viable solution for the issue of the integration of renewable or non-conventional energy resources. Nevertheless, the frequency estimation unit, unlike the one proposed in Chapter 3, is not segregated and it interacts with the Kalman filter. Inverters or ac-ac converters. Thus, proposing advanced techniques for the digital estimation of signal parameters and methods for the generation of DG reference currents using the estimates provided is the targeted scope of this thesis. E. Chapter 5 proposes another algorithm based on the concept of Kalman filtering. Chapter 2 focuses on an in-depth analysis conducted on the PM technique to reveal its strengths and drawbacks. The frequency estimated is given to the Kalman filter and other parameters such as the amplitudes and phase angles estimated by the Kalman filter phd thesis distributed generation is taken to the frequency estimation unit. Phasor Measurement (PM) technique is one of the renowned and advanced techniques used for the estimation of power system frequency. The analysis will be followed by a new technique proposed to enhance the speed of the PM technique while the input signal is free of even-order harmonics. Moreover, an enhanced Least Error Square (LES) technique is proposed to take on the estimation when a critical transient is detected in the input signal. To be able to mitigate the negative effect of high frequency and harmonic as well as noise distortion to achieve satisfactory performance of DG systems, new methods of signal parameter estimation have been proposed in this thesis. The initial settings for the modified Kalman filter are obtained through a trial and error exercise. In fact, some large, sudden changes in the parameters of the signal at these critical transients are not very well tracked by Kalman filtering. The frequency phd thesis control systems estimated is given to the Kalman filter to be used in building the transition matrices. One of the main parameters of a power system signal is its frequency. However, the proposed LES technique is found to be much faster in tracking these changes. The algorithm is intended to estimate signal parameters like amplitude, frequency and phase angle in the online mode. The purified state vector is used to obtain a new measurement vector for a basic phd thesis distributed generation Kalman filter applied. However, this time the initial settings required for the better performance of the modified Kalman filter are calculated instead of being guessed by trial and error exercises. Distributed generation based on solar energy (photovoltaic and solar thermal), wind, biomass, mini-hydro along with use of fuel cell and micro turbine will gain substantial momentum in the near future. The other techniques proposed in this thesis as the novel ones will be compared with the PM technique comprehensively studied in Chapter 2. Global warming issue calls for renewable energy resources in electricity production. An introduction to this research – including a description of the research problem, the literature review and an account of the research progress linking the research papers – is presented in Chapter 1. The Kalman phd thesis distributed generation filter used has similar structure to a basic Kalman filter except the initial settings are computed through an extensive math-work with regards to the matrix arrangement utilized. An algorithm based on the concept of Kalman filtering is proposed in Chapter 3. The purposed compensation scheme also prevents distortion in voltage at the phd thesis distributed generation point of common coupling in weak source cases, balances the source currents, and makes the supply side power factor a desired value. Chapter 8 uses rider admission essay the estimation algorithm proposed in Chapter 7 for the interconnection scheme of a DG to power network. Basically, DG sources can be connected to local power system through power electronic devices, i. Robust estimates of the signal amplitudes and phase angles obtained by the estimation approach are used in the reference generation of the compensation scheme. The Kalman filter is modified to operate on the output signal of a Finite Impulse Response (FIR) filter designed by a plain summation. Another algorithm again based on the concept of Kalman filtering is proposed in Chapter 4 for the estimation of signal parameters. The frequency estimation unit is independent from the Kalman filter and uses the samples refined by the FIR filter. Amplitude estimation, DG interconnection, digital estimation, digital filter, distributed generation, FIR filter, frequency estimation, harmonics, high frequency distortion, hysteresis current control, interconnection of distributed generation, interharmonics, Kalman filtering, least error square, load compensation, load unbalance, microgrids, moving average filter, noise, nonlinear load, phase angle estimation, phasor measurement, power electronics, power system, remote load, renewable energy sources, signal measurement, source unbalance, voltage distortion, voltage source converters, weak AC essays on friendship source, zero crossing. These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Chapter 7 proposes the other algorithm based on the concept of Kalman filtering similar to those of Chapter 3 and 6.