Rajasthan Technical University

About: Rajasthan Technical University is a education organization based out in Kota, Rajasthan, India. It is known for research contribution in the topics: Photovoltaic system & PID controller. The organization has 716 authors who have published 1084 publications receiving 4530 citations. The organization is also known as: RTU.

Recognition of disturbances in hybrid power system interfaced with battery energy storage system using combined features of Stockwell transform and Hilbert transform

Abstract: This paper presents an algorithm using combined features of Stockwell transform and Hilbert transform for analysis of disturbances in the hybrid power system interfaced with battery energy storage system (BESS). Hybrid power system is realized using five nodes test network to which BESS supported by distribution static compensator (DSTATCOM), wind and solar photovoltaic (PV) generators are integrated. A disturbance detection index (DDI) based on combined features of Stockwell transform and Hilbert transform is proposed for detection of various types of disturbances. Results are obtained in the absence and presence of the proposed BESS supported by DSTATCOM to investigate the effect of BESS on performance of the hybrid power system. Investigated events include the switching ON/OFF the resistive load, outage of wind generator and simultaneous outage of both wind and solar PV generators. It is anticipated that performance of proposed method will be high in all investigated cases of study. This could be established in MATLAB/Simulink environment. Proposed BESS will be effective to reduce the disturbance level up to 91%.

STATCOM based voltage and frequency regulator for self excited induction generator

Abstract: This paper presents the digital design of a STATCOM based voltage and frequency regulator for self excited induction generator (SEIG) feeding linear and nonlinear loads. The SEIG have inherent poor voltage and frequency regulation. The voltage and frequency of the SEIG system depend upon the load current and power factor of the load for constant power operation with fixed excitation capacitor employing unregulated turbines. The performance of SEIG is largely affected by load harmonics. A current controlled voltage source inverter working as STATCOM is used for harmonic elimination, load balancing and it provides reactive power compensation. A DC chopper with dump load is connected across DC bus capacitor to regulate varying consumer load. The control algorithm has been co-simulated with processor in the loop (PIL) using TMS320F2812 fixed point DSP. The transient behaviour of SEIG-STATCOM system at different operating conditions such as application and removal of balanced, unbalanced and nonlinear load is investigated.

Identification of Islanding Events in Utility Grid With Renewable Energy Penetration Using Current Based Passive Method

Abstract: Renewable energy (RE) generation levels are increasing in modern power systems at a fast rate due to their advantages of clean and non-exhaustible nature of energy. However, this type of generation creates technical challenges in terms of operation and control due to uncertain and un-predictable nature of generation. Islanding is an operational scenario where there is a loss of grid and RE generators continue to feed power to the local load. This has harmful effects on the RE generators and operating personal. Hence, it is expected that islanding scenario is identified in minimum time and RE generators are disconnected within $2~s$ duration after island formation. This paper designed an islanding identification scheme (IDS) by designing a current islanding detection indicator (CIDI) that combines the features computed by processing the current signals, negative sequence current (NSC) and negative sequence voltage (NSV) using the Stockwell transform (ST) and the Hilbert transform (HT). Information contained by the total harmonic distortions of voltage ( $THD_{v}$ ) and current ( $THD_{i}$ ) is also used while designing the CIDI. Islanding and non-islanding events of category-I & II are identified and discriminated from each other by comparison of peak magnitude of CIDI with the first threshold value (FTV) and second threshold value (STV). This IDS effectively recognizes the islanding events even in the noisy environment with minimum non-detection zone (NDZ) and minimum time. The efficiency is greater than 98% even with the noise of $20dB$ SNR (signal to noise ratio). The performance of proposed IDS is better compared to IDS using discrete wavelet transform (DWT), Empirical mode decomposition (EMD), Slantlet transform & Ridgelet probabilistic neural network (RPNN), and artificial neural network (ANN). The effectiveness of IDS is validated on IEEE-13 nodes test system using MATLAB software, practical distribution network and in real time scenario by use of real time digital simulator (RTDS).

University impact on power supply economy, reliability and sustainability enhancement decreasing climate changes

Abstract: Research in prior scientific areas carried out by Riga Technical university (RTU), in general, and the Institute of Power Engineering as part of the University is of vital importance not only for the development of industry and national economy but is also a significant part of the education and training of young professionals for the Latvian power system and for engineering, design and construction companies. New challenges in the energy and power engineering field as well as economic and political changes in the Baltic countries have revealed a need for educational program refinement and academics requalification. To perform these changes effectively, proper formation of the research project portfolio as well as bids of the Latvian and European industry have been taken into account. The paper describes the most important achieved scientific and practical results. To solve a wide range of complex tasks and to ensure excellence of scientific research, a virtual research laboratory has been created; a brief description of the laboratory is given in the paper.

Application of AGPSO Algorithm in Frequency Controller Design for Isolated Microgrid

Abstract: This paper presents the application of autonomous groups particles swarm optimization (AGPSO) algorithm for PID control design. The proposed control approach is used to design the controller of heat pump and plug-in hybrid electric vehicles for the frequency control of the isolated microgrid. This isolated microgrid is powered by diesel generator and solar energy sources. In addition, load frequency control (LFC) based on PID design for diesel generator is also proposed using AGPSO algorithm. The efficacy and effectiveness of proposed control design approach is evaluated under the influence of random load demand disturbances, and random solar power deviation. Further, the robustness and performance of the proposed control design are tested under parametric uncertainty, and multiple operating conditions of controllers. Finally, simulation results show the effectiveness and performance of the proposed control design in comparison to the published control design approach.