Preeti Kabra

@deccancollege ac in

Assistant Professor / Electrical & Electronics Engineering
Deccan College of Engineering & Technology

Preeti Kabra


               Download Compact PDF  
https://researchid.co/preeti_kabra
Mrs. Preeti Kabra received B.E. degree in Electrical, Electronics and Power from Government college of Engineering, Aurangabad (MH) in 2000 and MTech degree from Jawaharlal Nehru Technical University, Hyderabad (TS). Currently working as Assistant Professor in Deccan College of Engineering & Technology, Hyderabad and Research scholar of KLEF, Vijaywada (AP). Main area of interest is Power system Automation, smart grid, WAMS, Synchrophasor Technology etc.

EDUCATION

BE, Mtech (PhD)

RESEARCH, TEACHING, or OTHER INTERESTS

Engineering, Electrical and Electronic Engineering, Energy Engineering and Power Technology
7

Scopus Publications

14

Scholar Citations

2

Scholar h-index

Scopus Publications

  • Enhanced LA-HBO technique for optimal position of PMU with complete prominence
    Preeti Kabra, D. Sudha Rani
    Journal of High Speed Networks, 2024
    This manuscript proposes a hybrid technique for determining the optimal positioning of phasor measurement units (PMUs) in power systems. The PMUs play a crucial role in power system control, wide-area monitoring, and protection. The proposed hybrid method is the joint execution of the Lichtenberg algorithm (LA) and the heap-based optimization (HBO) technique. Hence, it is named the LA-HBO technique. The objective of the proposed method is to place the PMUs in the power system for observability. The goal is to enhance the efficiency and accuracy of PMU placement, ensuring optimal positioning for improved grid monitoring capabilities. The Lichtenberg Algorithm (LA) enhances PMU placement by addressing system observability challenges and ensuring that selected locations provide comprehensive coverage of the power grid. The heap-based approach optimizes PMU placement by efficiently managing the selection process, considering factors like computational efficiency and scalability. The proposed hybrid technique is implemented in IEEE-30 and -14 bus systems. The MATLAB-based simulation results are compared with the various existing methods, such as Sea Lion Optimization (SLO), Particle Swarm Optimization (PSO), and Ant Bee Colony Optimization (ABC). By then, the outcome reveals the efficacy of the proposed method for defining the optimum PMU locations. The proposed method shows a low computational time of 0.02348 sec for the IEEE-14 bus, and 0.03565 sec for the IEEE-30 bus compared with other existing methods.
  • Bad data analysis and detection using PMU with UPQC integration to grid during fault conditions
    Preeti Nitin Kabra, Suraparaju Venkata Naga Lakshmi Lalitha, Sudha Rani Donepudi
    International Journal of Power Electronics and Drive Systems, 2023
    <span lang="EN-US">Analysis of bad data in an IEEE 14 bus system with <a name="_Hlk121211016"></a>phasor measuring units (PMU) devices is carried out in this paper. The normal operating condition data achieved from the PMU in the bus system is compared to the data achieved during faults in the bus system. A principal component analysis (PCA) technique is proposed in this paper for distinguishing the difference between data transmission during normal and fault conditions. The PCA approach detects the dynamical magnitudes of the measurements taken and also determines the noise caused by the disturbances. The grid system is updated with unified power quality conditioner (UPQC) improvising the parameters of the system to mitigate the fault. The PMU devices use PCA technique for a comparative analysis of the measured components analyzing the performance of the system under different operating conditions. The simulation of these modules is carried out in Simulink environment of MATLAB software with PCA done concerning time.</span>
  • Power data quality improvement through PMU bad data detection based on deep complex
    Preeti Kabra, D. Sudha Rani
    International Journal of Power Electronics, 2023
    Phasor measurement units (PMUs) allow devices to be switched in a variety of power signal modes. PMU data from spike produces jitter or signal glitches and disturbance in transmission creates bad data. Due to these challenges, PMU data experience varying degrees of data quality issues. Several methods have been already used to detect fake data, but they come with drawbacks like complexity. Similarly, it has not been possible to identify faulty data caused by topology fluctuations optimally. To resolve these problems a deep complex neural network (DCNN) has been proposed in which robust bad data detection technique analyses complex numbers with both voltage magnitude and phase angles. Comparisons are made between the proposed methods and existing methods in terms of accuracy, bad data detection capabilities, bad data detection range, running time, F1-score, and computational cost. The proposed technique provides an accuracy of 99.5% which is higher than the existing techniques.
  • Voltage instability curtailment and quality improvement with phasor measurement unit in power system
    Kabra Preeti, Donepudi Sudha Rani
    COMPEL the International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2022
    Purpose The earlier methods are more resilient to improvements such as load shift and path change. This results in problems such as a voltage drop and a high reactive flux. In addition, due to the delay, congestion or interruption of the transmission, the system cannot receive all phasor measurement unit (PMU) measurements at the relevant time as well as the presence of noise in the received data. Design/methodology/approach With the development of wide area measurement system technologies, it seems to be possible to track voltage stability online via time-stamped PMUs. As the voltage instability causes a voltage decomposition, voltage instability is one of the most important problems when monitoring the power supply. Findings This harmonic distortion significantly decreases the data quality in the grid. As a result, instability ascertainment based on PMU has been suggested as a method for detecting voltage instability in power systems monitored with PMU. In addition, a technique called instability amendment via load dropping has been proposed to keep the device from collapsing due to voltage failure. Originality/value To improve the power output, the power prominence melioration technique was developed. This proposed system has been implemented in MATLAB Simulink and compared with the recent researches.
  • Power quality improvement and analysis of interconnected bus system with PMU using VSM-STATCOM
    Preeti Nitin Kabra, Sudha Rani Donepudi
    International Journal of Applied Power Engineering, 2022
    The traditional static synchronous compensator (STATCOM) present in the power grid to compensate instability problem will not be not able to maintain stability of the system due to fluctuations in point of common coupling (PCC) voltage and frequency variation that may result in poor synchronization of the grid. The solution for this is the improvement in conventional STATCOM to virtual synchronous machine–static synchronous compensator (VSM-STATCOM). In this paper an interconnected IEEE-14 bus system is considered for analysis with VSM-STATCOM for improvement in voltage profile on weakest bus of the system. In order to find the weakest bus, load flow analysis is carried out on the bus system using Newton Rapson method. A VSM-STATCOM is connected at that weakest bus in synchronization to the grid injecting reactive power. For the analysis a fault is introduced on any of the line and voltage profile of the weakest bus is observed with and without VSM-STATCOM. The VSM-STATCOM is also compared to a conventional control STATCOM which has no inertia module. A comparative analysis is carrier out with parameters of voltage magnitude and frequency of the weak bus taken into consideration. The magnitude and frequency parameters of conventional STATCOM and VSM-STATCOM are measured using phasor measurement units. The model is designed using MATLAB Simulink power systems library block sets with graphical user interface (GUI) environment.
  • A novel optimistic location of pmu using pso based intelligent flowchart for power system observability
    Journal of Advanced Research in Dynamical and Control Systems, 2020
  • Power quality improvement using a novel D-STATCOM-control scheme for linear and non-linear loads
    Shaik Mohammed Mukassir, Gulam Amer, Syed Mujtaba Mahdi Mudassir, Preeti Kabra
    International Conference on Electrical Electronics and Optimization Techniques Iceeot 2016, 2016
    Power quality is an essential customer focused issue which needs to be addressed, avoiding malfunctioning of electrical equipments, linear and non-linear loads connected to the point of common coupling. The power quality at grid gets affected when we connect alternate dependant energy source, like wind energy system or any other renewable energy sources. The performance of wind turbine connected to electric grid affects the power quality and thereby it is determined on the basis of measurements and norms followed according to the guidelines given by International electro-technical Commission standard, IEC-61400. The concern issues of power quality which need to be addressed are-the active power, reactive power, variation of voltage, flicker, harmonics, power factor and electrical behavior of switching operation and these are measured according to national/international guidelines. This paper demonstrates the power quality problem due to installation of wind turbine with electric grid. The proposed scheme with best optimum results to resolve power quality problems are signify in this STATCOM control Scheme along with Battery energy storage system(BESS). In this proposed scheme Static-Compensator (STATCOM) is connected at point of common coupling(PCC) along with sinusoidal conventional energy source. This scheme also mitigate the issues of power quality when are due to non linear load, Adjustable Speed Drives (ASD), UPS system, and also improves the voltage profile along reduces Total Harmonic Distortion (THD). BESS system suppresses the issues which are caused by variation of wind power due to climatically changes in wind. The results are simulated using MATLAB/Simulink in power system block set.

RECENT SCHOLAR PUBLICATIONS

  • Enhanced LA-HBO technique for optimal position of PMU with complete prominence
    P Kabra, DS Rani
    Journal of High Speed Networks 30 (3), 427-443 , 2024
    2024
    Citations: 1
  • Power data quality improvement through PMU bad data detection based on deep complex
    P Kabra, DS Rani
    International Journal of Power Electronics 18 (4), 394-414 , 2023
    2023
  • Bad data analysis and detection using PMU with UPQC integration to grid during fault conditions
    DDSR Preeti Kabra,Dr. SNNL Lalitha
    International Journal of Power Electronics and Drive Systems (IJPEDS) 14 … , 2023
    2023
    Citations: 2
  • Voltage instability curtailment and quality improvement with phasor measurement unit in power system.
    DDSR Preeti Kabra
    The international journal for computation and mathematics in electrical and … , 2022
    2022
    Citations: 1
  • Power Data Quality Improvement Through PMU Bad Data Detection Based on Deep Complex Network
    DSR Preeti Kabra
    International Journal of Electrical Engineering and Computer Science 4 (E … , 2022
    2022
  • Power quality improvement and analysis of interconnected bus system with PMU using VSM-STATCOM
    DSR Preeti Kabra
    International Journal of Applied Power Engineering (IJAPE) 11 (ISSN: 2252 … , 2022
    2022
    Citations: 5
  • A Novel Optimistic Location of PMU using PSO based intelligent flowchart for power system observability
    SR Preeti Kabra
    Journal of Advanced Research in Dynamical and Control Systems 12 (Issue 2 … , 2020
    2020
  • Power quality improvement using a novel D-STATCOM-control scheme for linear and non-linear loads
    SM Mukassir, G Amer, SMM Mudassir, P Kabra
    2016 International Conference on Electrical, Electronics, and Optimization … , 2016
    2016
    Citations: 5

MOST CITED SCHOLAR PUBLICATIONS

  • Power quality improvement and analysis of interconnected bus system with PMU using VSM-STATCOM
    DSR Preeti Kabra
    International Journal of Applied Power Engineering (IJAPE) 11 (ISSN: 2252 … , 2022
    2022
    Citations: 5
  • Power quality improvement using a novel D-STATCOM-control scheme for linear and non-linear loads
    SM Mukassir, G Amer, SMM Mudassir, P Kabra
    2016 International Conference on Electrical, Electronics, and Optimization … , 2016
    2016
    Citations: 5
  • Bad data analysis and detection using PMU with UPQC integration to grid during fault conditions
    DDSR Preeti Kabra,Dr. SNNL Lalitha
    International Journal of Power Electronics and Drive Systems (IJPEDS) 14 … , 2023
    2023
    Citations: 2
  • Enhanced LA-HBO technique for optimal position of PMU with complete prominence
    P Kabra, DS Rani
    Journal of High Speed Networks 30 (3), 427-443 , 2024
    2024
    Citations: 1
  • Voltage instability curtailment and quality improvement with phasor measurement unit in power system.
    DDSR Preeti Kabra
    The international journal for computation and mathematics in electrical and … , 2022
    2022
    Citations: 1
  • Power data quality improvement through PMU bad data detection based on deep complex
    P Kabra, DS Rani
    International Journal of Power Electronics 18 (4), 394-414 , 2023
    2023
  • Power Data Quality Improvement Through PMU Bad Data Detection Based on Deep Complex Network
    DSR Preeti Kabra
    International Journal of Electrical Engineering and Computer Science 4 (E … , 2022
    2022
  • A Novel Optimistic Location of PMU using PSO based intelligent flowchart for power system observability
    SR Preeti Kabra
    Journal of Advanced Research in Dynamical and Control Systems 12 (Issue 2 … , 2020
    2020