Texas Tech University

Manohar Chamana, Ph.D.

Assistant Professor and Graduate Advisor
Renewable Energy

Email: m.chamana@ttu.edu

Phone: (806) 834-6224

Personal Website

Dr. Chamana is an Assistant Professor and the Graduate Advisor for the Wind Energy Program at Texas Tech University - focused on renewable energy and energy storage integration in the electrical grid - Education and Research. Before joining NWI, he was with the smart grid department of an electrical distribution utility, ComEd, and a renewable energy development and testing company, GroupNIRE. He also interned in power systems integration group at the National Renewable Energy Laboratory. He received the M.S. degree from Texas Tech University in 2011, and the Ph.D. degree from the University of North Carolina at Charlotte, Charlotte in 2016, both in electrical engineering. He has several publications in leading power- and energy-related venues. His research interests include modeling and analysis of active distribution networks for grid-services and resiliency benefits, cyber-physical security, building energy management systems, and economic impacts of distributed energy resources. He currently serves as a Co-Principal Investigator on the Texas Workforce Commission, Department of Energy, and Department of Defense grants. He is actively involved in the Global Laboratory for Energy Asset Management and Manufacturing (GLEAMM) related activities to develop cyber-physical testbeds for research and education. As an instructor, he teaches the following courses: Wind Energy Grid Integration, Advance Technical Wind Energy, Critical Infrastructure, and Energy Storage in Grid in the Wind Energy program.

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  • 2016: Ph.D. IN ELECTRICAL ENGINEERING, University of North Carolina, Charlotte, NC; Dissertation: “Utilizing Smart Inverter Capabilities for Management of High Renewable Distributed Generation Integration in Active Distribution Networks”.                                        
  • 2011: M.S. IN ELECTRICAL ENGINEERING, Texas Tech University, Lubbock, TX; Thesis: “Modeling and Control of Directly Connected and Inverter Interfaced Sources in a Microgrid”.
  • 2009: B.E. IN ELECTRICAL AND ELECTRONICS ENGINEERING, Andhra University, Visakhapatnam, India. 

Professional Experience

  • Distribution Engineer and Analyst at Group NIRE, Lubbock, TX.
  • General Engineer – Emerging Technology Group, Smart Grid and Technology at Commonwealth Edison (ComEd), Oakbrook Terrace, IL.
  • Graduate III Electrical Engineering Intern at National Renewable Energy Laboratory (NREL), Golden, CO.
  • Engineering Intern at Baltimore Gas & Electric (BGE), Baltimore, MD.
  • Graduate Research Assistant at University of North Carolina, Charlotte, NC.
  • Research Assistant at Missouri S & T, Department of ECE, Rolla, MO.
  • Research Assistant at Texas Tech University, Department of ECE, Lubbock, TX.
  • Engineering Trainee at Ship Building Centre, Visakhapatnam, India.

Awards & Honors

  • 2021 National Wind Institute's Faculty Innovation Award ($500)
  • TTU 10 years of service pin
  • N.C. Charlotte's Energy Production and Infrastructure Center (EPIC) Scholarship 2013-14
  • IEEE PES T&D 2014, one of the best papers selected for presentation

Research Interests

My future research goals are to continue and expand my research work on large scale adoption of clean energy in electric power grid. Following are specific areas of interests:

  • Volt-VAR Operations – Modeling offline/online tools to enable the coordinated operation of regulating devices and DERs, including energy storage, PV, wind, and flexible buildings for varying conditions. Develop new control strategies to mitigate high penetrations of PV solar and wind by focusing on the coordination among different regulating devices.
  • Advanced Distribution management system (ADMS) – Testbed development by modeling the electrical network in a software environment, to reduce the R&D costs before field deployment. Utilize real-time simulators/hardware testbeds to perform interconnection studies while performing hardware testing to investigate system impacts.
  • Microgrids and Hybrid Plants– Key modeling gaps include dynamic models of DER controls and hardware needed to ensure a reliable transition between grid-connected and islanded modes, including black-start. Additionally, adaptive control and protection schemes need to be researched for microgrid/hybrid plant operation in grid-connected and island modes. Finally, investigate optimization techniques, energy/demand management, and planning of distributed energy resources. I worked on a project to perform microgrid operations for power regulation for an islanded operation based on operation time in a day.
  • Load, Wind, and PV Profile Analysis– I have worked on a technique to extract the variability information from distribution transformer historical data sets by applying frequency-based transforms. The expected similar load profiles were grouped and decomposed using discrete wavelet transform. A classification technique was applied to cluster groups with similar variability by observing the strong correlation coefficients among the rapid-refresh histograms.
  • Cyber-Physical Security of Advanced Distribution Networks, Wind Farms, and Microgrids– With increasing communication layers in the electrical networks, the number of access points for cyber-attacks has increased significantly at the grid edge. As a result, the communication architecture has moved from centralized to decentralized and distributed architectures at various layers. In addition, an increase in sensing instruments and control devices has increased the vulnerability in the electrical grid. By modeling power system components on a real-time simulator and the communications components on the network system simulator, studies will be performed to mitigate wind farm cyber-physical vulnerabilities.

Renewable Energy