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Voltage stability assessment using TCSC and SVC based FACTS controllers Jena, Ramakanta; Swain, Sarat Chandra; Chirantan, Shaswat; Dash, Ritesh; Panda, P.C
International Journal of Advances in Applied Sciences Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v10.i1.pp%p

Abstract

The Most causes of Voltage instability is the sources of reactive power .In order to protect the total system from voltage instability the reactive  loads can be reduced or extra reactive power can be added to reach the Voltage collapse point .The Flexible AC transmission devices(FACTS) have made it flexible and possible to prevent  Voltage instability by  Fast and Flexible control method .  Voltage collapse point is predicted with  TCSC and  SVC  devices and is compared with each other. The Voltage stability Indicator is derived to identify the voltage collapse point. it is concluded that voltage stability index provides a simple means to predict vulnerability of a bus in a Multibus system for voltage collapse.
Performance Enhancement of Five Bus Power System Using Shunt Based FACTS Controllers Jena, Ramakanta; Swain, Sarat Chandra; Chirantan, Shaswat; Dash, Ritesh
International Journal of Advances in Applied Sciences Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v10.i1.pp%p

Abstract

FACTS(Flexible AC Transmission System) a boost for grids, have the superior characteristics of grid flexibility,power quality improvement,long distance AC transmission & control series & shunt compensation.FACTS controllers have the inherent features of inject or absorb reactive power to/from the line at the time of requirement.These are synchronized by a bunch of power electronics based controllers.FACTS controllers are of series or shunt connected type or combination of both depending upon their connection with the transmission line.Generally these devices have the most reliable nature of enhancing the maximum power transfer capability from source end to load end.Because of this, FACTS controllers are most significantly used in recent days power system.In this paper shunt type of FACTS controller is taken for system performance analysis of a five bus system.FACTS devices considered here are SVC(Static Var Compensator) & STATCOM(Static Synchronous Compensator).Here,load flow analysis to be taken as the basic criteria for the study.Firstly,Load flow study has been conducted for an uncompensated five bus system & there by analyzing the stability limits in terms of voltage magnitude(p.u) and loss analysis in terms of overall real & reactive power losses.Then load flow study has been carried out for both the FACTS devices independently by incorporating them in to the five bus system.Also the optimal location of SVC & STATCOM is determined by installing at each bus separately & by considering the least possible losses and improved voltage profiles.A comparative study has been done here for these controllers in terms of enhancement of voltage stability and loss minimization & hence improvement of the power transfer capability.SVC & STATCOM both are of shunt FACTS controllers but they may differ in their functionality based on various system parameters in power system.The detailed performance analysis of an uncompensated & shunt compensated five bus system(SVC & STATCOM compensation) is investigated here.All the system performance study has been featured by using MATLAB/SIMULINK software.
THD analysis and small AC signal analysis of trans-Z-source and quasi-Z-source inverter for linear and non-linear load Bharat, Manish; Murty, ASR; Dash, Ritesh
Bulletin of Electrical Engineering and Informatics Vol 12, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i6.6597

Abstract

The paper primarily focuses on the ongoing research related to Z source inverter technologies (ZSITs) used in the transportation industry, particularly for electric vehicles (EVs) and hybrid electrical vehicles (HEVs). It analyzes various topologies of ZSITs based on their mode of operation, capacitor voltage stress during active states and non-active state operations, DC link voltage before inverter module and line to line output voltage across the load. The paper compares the conventional trans-z source and two port quasi-Z source inverter model networks for multiple parameters and derives mathematical equations for both linear and non-linear loads. Practical and theoretical calculations match when using a modulation index of M=0.85 and a duty ratio of 1.414. The result obtained in this paper indicates that the proposed solution is better in terms of reduction in total total harmonics distortions (THD) percentage of 18.14% during the transition condition. All the analysis has been carried out with MATLAB based Simulink model.
Trust factor validation for distributed denial of service attack detection using machine learning Jayakumar Raghvin, Manju; Bharamagoudra, Manjula R.; Dash, Ritesh
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i2.pp1455-1462

Abstract

Distributed denial of service (DDoS) attacks, predicted to be 100 Gbps and greater, are expected to begin in the first quarter of 2019, with 77% of all attacks concentrated on at least two vectors. According to a Neustar Research Agency assessment, DDoS attacks are becoming more powerful and common. Among many other issues, distributed denial of service is a notable security issue. A large number of research projects have been conducted to address this issue, but their methodologies are either inaccurate or computationally expensive, making developing an effective DDoS assault detection method a critical demand of current research. A DDoS attack employs a huge number of agents or resources to carry out the attack, resulting in a large-scale attack power. The attackers use their intelligence to discover the weak system, which is then coordinated and managed remotely. The suggested detection framework uses a frequent time interval balancing module with node trust factor validation (FTIBM-NTFV) that is used to identify the DDoS attacks in the system for improving the security levels of the network. The proposed model is compared with the traditional methods and the results are analyzed that represents the proposed model is achieving better outcomes.
Optimized reactive power management system for smart grid architecture Raghvin, Manju Jayakumar; Bharamagoudra, Manjula R.; Dash, Ritesh
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i4.pp3707-3716

Abstract

The Indian power grid is an extensive and mature power system that transfers large amounts of electricity between two regions linked by a power corridor. The increased reliance on decentralized renewable energy sources (RESs), such as solar power, has led to power system instability and voltage variations. Power quality and dependability in a smart grid (SG) setting can be enhanced by the careful tracking and administration of solar energy generated by panels. This study proposes a number of reactive power regulation algorithms that take smart grids into account. When developing a kernel, debugging is a must in optimal reactive power management. In this research, a debugging primitive called physical memory protection (PMP), a security feature, is considered. Debugging in the kernel domain requires specialized tools, in contrast to the user space where we have kernel assistance. This research proposes an optimal reactive power management in smart grid using kernel debugging model (ORPM-SG-KDM) for managing the reactive power efficiently. This research achieved 98.5% accuracy in kernel debugging and 99.2% accuracy in optimal reactive power management. Kernel debugging accuracy is increased by 1.8% and 3% of reactive power management accuracy is increased.