Abhijeet Sahu

Graduate Research Assistant | abhijeet_ntpc@tamu.edu

Smart Grid Control Center, The RELLIS Campus

ABOUT

I am a Ph.D. student in Electrical Engineering dept. at Texas A&M University, College Station. My core research areas are power system security, contingency analysis and situational awareness.

Ardent believer of hardwork, perseverence and some luck, which favors those who are truthful to themselves.

EDUCATION

Doctor of Philosophy
Texas A&M University, College Station

Expected December 2021
IN PROGRESS

Research Interest
Power System Security
Contingency Analysis
Situational Awareness

Master of Science
Texas A&M University, College Station

May 2018

Bachelors of Technology
National Institute of Technology, Rourkela

May 2011



Research Publications

Abhijeet Sahu, HNR Karthik Tippanaboyana, Lindsay Hefton, Ana Goulart
“Detection of rogue nodes in AMI networks”
Publisher: IEEE Published in: 19th International Conference on Intelligent System Application to Power Systems (ISAP), 2017

Advanced Metering Infrastructure (AMI) is an integral part of smart power grids. With advanced computing and communications, cybersecurity has emerged to be a critical issue for AMI networks, which demand confidentiality and integrity. Cyber attackers can employ unauthorized devices, also known as rogue nodes, to steal customers' private information, modify or create wrong data that can financially impact customers, utilities, and the electricity market. To detect rogue nodes in AMI networks, we propose and simulate two Intrusion Detection Systems (IDS). Their goal is to detect man-in-the-middle attacks (MiTM), where the rogue node steals information using Address Resolution Protocol (ARP) cache poisoning. A host-based simplistic IDS for the smart meters and a network-based IDS for the data concentrator, which has a larger computing power, were implemented to detect and stop such MiTM attacks. The proposed IDS system uses a Bayesian-based machine learning technique so that the IDS learns the behavior of the attack and detects future attacks.

September 2017

A. Sahu, A.Goulart, K.P.Butler
“Modelling AMI Network for real-time Simulation in NS-3”
Publisher: IEEE Published in: Principles, Systems and Applications of IP Telecommunications (IPTComm), 2016

Utility companies have several challenges: renewable energy generation, greenhouse gas emission regulations, and outages due to power scarcity. To overcome them, it is indispensable to have a smart grid, which combines Information and Communication Technologies (ICT) and power systems engineering. Automated Metering Infrastructure (AMI) network is an integral part of this grid. It collects data in a Neighborhood Area Network (NAN) and forwards it to the utility data collection server via Wide Area Network (WAN). In this paper, we present the architecture of a testbed that emulates sensors, smart meters, and data collection servers in an AMI network. The proposed testbed uses the real-time simulation environment of Network Simulator 3 (NS-3) to interact with real computers. With this platform we compare wireless technologies for NAN, such as WiFi 802.11ah, WiMAX and LTE in terms of throughput of AMI messages and latency of control signaling, including a cyber attack scenario.

December 2016

A.Goulart, A. Sahu
“Cellular IoT for Mobile Autonomous Reporting in the Smart Grid”
International Journal of Interdisciplinary Telecommunications and Networking (IJITN)

Wireless access technologies are being embedded in utility meters, health devices, public safety systems, among others. These devices have low processing power and communicate at low data rates. New communication standards are being developed to support these machine-type communications (MTC), such as Cellular Internet of Things (CIoT), which is being developed by the third generation partnership project (3GPP). CIoT introduces cooperative ultra-narrow band (C-UNB) communications. It supports ad-hoc uplink transmissions, delay-tolerant downlink transmissions, and a simple authentication scheme. The C-UNB approach is proposed for Mobile Autonomous Reporting (MAR) applications, but it is not clear if it can be used for smart grid systems, such as sensors and smart meters in the Advanced Metering Infrastructure (AMI). In this paper, the authors review the C-UNB approach, study its performance in terms of collision rate and throughput, and discuss its potential for smart grid reporting applications.

April 2016

Abhijeet Sahu
“Bad Data Detection and Identification in Power System”

Bad data injection in Power grid is considered to be one of the most malicious attack which might culminate in either energy theft at the user end or it can result in device breakdown in power generating stations. State estimation in the grid is most vulnerable to false data injection attacks and hence it is crucial to diagnose such attacks for reliable operation of power systems. In this paper 3 attacks scenario has been injected each for both the IEEE-14 and IEEE-30 Bus System generated from MATPOWER. After estimating the state variables i.e. the Voltage Magnitude and the Phase Angles at each Bus using Weighted Least Square Estimation, bad data detection has been done using the chi-squares test. Followed by the bad data detection, largest normalized residual test has been employed to identify the bad data. After the removal of the bad data from the system again the state estimation is done followed by chi square tests to validate the effectiveness of the algorithm.

January 2016


Work Experience

Software Engineer Intern
Real Time Power Inc. , Houston

Design of Gas Turbine power plant generation forecasting application

  • Development of Front-end wizard for Plant Configuration
  • Develop regression model for predicting High and Low load generation based on ambient condition
  • Network maintenance and secured channel creation between plant PI server and various real time power applications.

JANUARY 2017 - AUGUST 2017
HOUSTON, TX, USA

Assistant Manager
National Thermal Power Corporation Limited (NTPC Ltd.), India

Design of network architecture and its implementation throughout the Power Project

  • Configured Router routing table, BGP, RIP protocols and interfaced it with MPLS and VSAT connections.
  • Modeled Power Plant IT network and managed VLAN, DHCP, STP, GVRP, ACL in the L3 and L2 switch.
  • Implemented Windows Server 2012 Active Directory for network management and designed the group policies as per the regulation of the company.

Installation and maintenance of Application Server

  • Installed and maintained Apache, Squid, NFS, Gate Pass and Video Surveillance servers.
  • Developed various in-house web based application like SMS systems, hospital management system etc using LAMP.

Network Security management

  • Configured and upgraded TrendMicro OfficeScan Anti-Virus Server.
  • Guaranteed Secure Remote Access to systems through NAT and packet filtering through ACLs.

Installation of EPABX( Electronic Private Automatic Branch Exchange) System

  • Maintained BRI, PRI cards and voice mail server integrated to Siemens Hipath 4000 Exchange.
  • Configured Analog and Digital Interface cards as per telephone handset deployed.
  • Executed Telephone cable, Fiber optic Laying and grafting of route markers.

Firewall Maintenance in a DCS (Distributed Control System)

  • Worked on Cisco PIX firewall interfacing Honeywell PHD (Plant Historian Data) Server and Corporate IT network.

AUGUST 2011 - JULY 2015
NEW DELHI, INDIA