In power systems, identification and damping of low-frequency oscillations(LFO) is very crucial to maintain the small signal stability. Hence the computation of eigenvalues, eigenmode shapes, participation factors, and coherency of generators are essential parameters of critical LFO modes. The existing data-driven approaches explore either one or two aspects of modal parameters from the dynamic pattern of the measurement data. In the present work, two approaches i) Iterative Approach(IA) ii) Non-Iterative Subspace(SS) method of data-driven techniques are used to estimate the state-space model of the system under study from the measurement data in a holistic framework. Based on the estimated system model, the eigenvalues of LFO, eigenmode shapes, participation factor, and coherency of associated generators participating in electromechanical oscillations are computed. Finally, from the estimated participation factors for the Inter-area oscillation mode (IAM), the Static Synchronous Compensator (STATCOM) damping controller is designed and placed at the generator with the highest participation factor for damping of inter-area oscillation. The enhancement of damping ratio of inter area mode with STATCOM damping controller is estimated and verified using IA & SS data driven approaches for the first time. In this work, IA uses prediction-error minimization algorithm (PEM) & Parallel computing techniques and SS method uses Multivariable Output Error State Space (MOESP) algorithm for the estimation of Hankel matrix from the measured data. The effectiveness of data-driven approaches are demonstrated by the simulation of a IEEE 4-machine,10-bus power system using MATLAB / Simulink. IA & SS methods incorporating wavelet based denoising techniques are very effective in identifying the LFO modes even with noisy measurement. The efficacy of the denoising to suppress the effect of noise is demonstrated by comparing with noiseless environment. The results of data-driven approaches indicate their high degree of accuracy and efficiency in being consistent with Eigenvalue analysis (EA) performed on the system.
Solar supported power system is widely used to meet the reliable power supply to the load. Efficient power can be extracted from solar photovoltaic array using different Maximum power point tracking techniques. This paper presents the implementation of Type 1 Fuzzy Logic MPPT controller. DC-DC converter is placed between PV panel and load to get the required voltage at a load side. Linguistic rule based Fuzzy algorithm is applied to control boost converter for maximum power point tracking, To modulate the DC-DC converter linguistic variables are implemented in the fuzzy logic controller. Type 1 controller is capable of tracking maximum power under varying weather conditions, great execution and good accuracy compared to conventional method. The proposed method is validated by simulation using MATLAB/SIMULINK.
Wavelet transform technique is a robust and versatile method to analyze non-stationary,non-periodic wide band signal such as transient signal. Wavelet transform which is new tool for caballing both time and frequency information simultaneously. The suitable wavelet for analysing power system transients is Daubechies(Db) wavelets. This paper focused on transmission line faults classification using wavelet analysis. The different faults in the transmission line (TL) are detected and classified using fault classification algorithm based on wavelet MRA(Multi resolution technique) technique.
This paper mainly focuses on studying the effectiveness of the Electric Spring(ES) in regulating the source power when source voltage fed by unstable power source and balancing the load voltage during peak shaving. Due to renewable energy source which is intermittent in nature, the power generated at critical load will not meet the load demand. To meet the load demand Electric spring provides peak shaving of load voltage by balancing the source power. Thus, ES provides solution to the Power instability problem caused by such micro grids. In this project work, electric spring is implemented in conjunction with loads and demonstrates properties of electric spring.
Abstract:In this paper modified SEPIC converter is preferred and based on preferred converter two types of step-up converters with high static gain are presented. These preferred converters are required to obtain high output voltage for applications which are supplied by low input voltage sources .The preferred converters are modified SEPIC converter without magnetic and with magnetic coupling . These two converters increases static gain and efficiency keeping switch voltage low. Also to limit crises of overvoltage at the output diode in the preferred converter with magnetic coupling, voltage multiplier is included in secondary part. This voltage multiplier raises static gain and it also considered as non-dissipative clamping circuit. The preferred converter with magnetic coupling comprises of leakage inductance of transformer and voltage multiplier which reduces losses. Simulation of these two proposed converters are done using MATLAB/SIMULINK and output results are compared.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.