Ms. Meenakshi Khandelwal | Power System Awards | Best Researcher Award

Ms. Meenakshi Khandelwal | Power System Awards | Best Researcher Award

Ms. Meenakshi Khandelwal, Indian Institute of Technology Delhi, India

Ms. Khandelwal, with a B.Tech. and M.Tech. in Power Systems, specializes in power distribution network modeling and market operations. Her Ph.D. research at the Indian Institute of Technology Delhi focuses on developing an efficient distribution locational marginal price framework and innovative approaches for optimal power flow and electro-thermal resource interactions. Notable projects include a current-sensitivity-based OPF framework and an aggregator-DNO framework for high DER penetration. Her published work, such as “Current Sensitivity Based OPF Framework for Active Distribution Network,” and practical experience from roles at Kamal Cogent Energy and TISHITU Research & Consultancy underscore her contributions to smart grid technology and sustainable practices.

Professional Profile:

Google scholar

Suitability for the Award

Ms. Khandelwal’s research work has made substantial contributions to the field of power systems, specifically in optimizing power distribution networks and integrating DERs. Her innovative approaches to Optimal Power Flow (OPF) frameworks and market operations demonstrate her advanced knowledge and expertise. Her ability to blend theoretical research with practical applications in power systems further underscores her suitability for the Research for Best Researcher Award.

Educational Achievements:

Ms. Khandelwal’s academic background includes a B.Tech. and M.Tech. in Power Systems, with notable projects and publications that contribute to the field. Her current research work and her publications, such as “Current sensitivity based OPF framework for active distribution network” in the International Journal of Electrical Power & Energy Systems, highlight her ongoing contributions to the field.

Specialized Research Expertise:

Ms. Khandelwal is specializing in power distribution network modeling and market operations, with a focus on mathematical programming and optimization techniques. Her work involves developing advanced models for DERs market participation, which is crucial for the advancement of smart grid technology and energy decentralization.

Significant Academic Contributions:

Her Ph.D. research at the Indian Institute of Technology Delhi focuses on an efficient distribution locational marginal price framework. Her proposed frameworks for optimal power flow (OPF) and electro-thermal resource interactions are innovative approaches that address real-world challenges in distribution networks, particularly in managing uncertainties and enhancing market efficiency.

Innovative Research Projects:

Ms. Khandelwal’s project on a current-sensitivity-based OPF framework for active distribution networks demonstrates her ability to contribute cutting-edge solutions to complex problems in power systems. Her work on an aggregator-DNO framework for high DER penetration further highlights her commitment to advancing smart grid technologies.

Professional Experience and Impact:

Her professional experience includes roles as a Graduate Engineer Trainee at Kamal Cogent Energy and an intern at TISHITU Research & Consultancy. Her involvement in green building design and sustainable practices, as well as her work on a micro-controller based solar tracker, showcases her practical experience and ability to apply theoretical knowledge to real-world applications.

Publication Top Notes:

  • Title: Virtual Power Plant (VPP) Scheduling with Uncertain Multiple Locational Marginal Prices
    • Citations: 4
    • Year: 2022
  • Title: State-of-Art on Flexibility Services in Electricity Markets
    • Citations: 4
    • Year: 2018
  • Title: Profit Based Self Scheduling of Virtual Power Plant Under Multiple Locational Marginal Prices
    • Citations: 3
    • Year: 2018
  • Title: Current Sensitivity Based OPF Framework for Active Distribution Network
    • Year: 2024
  • Title: Electro-Thermal Resource Interaction to Accommodate Inevitable Uncertain Events of Distribution Network
    • Year: 2023

 

 

Mr. Kamran Daniel | Power Quality | Best Researcher Award

Mr. Kamran Daniel | Power Quality | Best Researcher Award

Mr. Kamran Daniel, Tallinn university of Technology Estonia, Estonia

Mr. Kamran Daniel is an Early-Stage Researcher at Tallinn University of Technology, specializing in AC/DC power converters within the field of Electrical Power Engineering and Mechatronics, which he studied for his Ph.D. His academic background includes an M.Sc. in Electrical Engineering from the University of South Asia Lahore and a B.Sc. in Electronic Engineering from Islamia University Bahawalpur. Previously, he served as a Lecturer at UET Lahore and worked as a Network Engineer at ZTE Pakistan, along with an internship at Telenor Pakistan. Proficient in MATLAB, C++, and Python, Mr. Daniel excels in simulation and design software. His research interests encompass Power System Quality, Electromagnetic Compatibility, Machine Learning, and Integrated Electronics, and he is actively involved in projects such as PRG2055 “EFFICIENT” and PSG142 “Synthesis of Output Current Waveforms” to enhance power system efficiency and renewable energy integration.

🌍 Professional Profile:

Google Scholar
Orcid
Scopus

Suitability for the Best Researcher Award

  1. Innovative Research: Mr. Daniel’s research focuses on crucial aspects of electrical power engineering, including harmonics in power converters and integration of smart energy systems. His work addresses key issues in improving energy efficiency and integrating renewable energy, showcasing significant contributions to the field.
  2. Impactful Projects: The research projects he is involved in, such as EFFICIENT and PSG142, are notable for their ambition and funding levels. These projects have the potential to impact energy systems significantly, reflecting his role in advancing the field.
  3. Publication Record: His publications in reputable journals, including IEEE Access, demonstrate his active engagement in cutting-edge research. The upcoming conference paper further highlights his ongoing contributions to the academic community.
  4. Professional Experience: His diverse experience as a lecturer, researcher, and network engineer enriches his perspective and expertise. His role as an early-stage researcher at a prestigious institution further underscores his commitment to advancing research in his field.
  5. Technical Skills: Proficiency in MATLAB, C++, Python, and various simulation and designing software equips him with the tools needed for advanced research and problem-solving in electrical power engineering.

🎓 Education:

Mr. Kamran Daniel holds a Ph.D. in Electrical Power Engineering and Mechatronics from Tallinn University of Technology, Estonia, where he researched AC/DC power converters. He also completed an M.Sc. in Electrical Engineering from the University of South Asia Lahore with a CGPA of 3.79 and a B.Sc. in Electronic Engineering from Islamia University Bahawalpur.

🛠️ Professional Experience:

Currently, Mr. Daniel is an Early-Stage Researcher at Tallinn University of Technology. He previously worked as a Lecturer at UET Lahore and as a Network Engineer at ZTE Pakistan. He also gained experience through an internship at Telenor Pakistan.

🔬 Research Interests:

His research focuses on Power System Quality, Electromagnetic Compatibility, Machine Learning, and Integrated Electronics.

🔍 Research Projects:

Mr. Daniel is involved in key projects like PRG2055 “EFFICIENT,” aimed at enhancing the efficiency and security of power electronic systems, and PSG142 “Synthesis of Output Current Waveforms,” which focuses on improving renewable energy integration into distribution networks.

Publication Top Notes:

  • Title: Integrating Smart Energy Management System with Internet of Things and Cloud Computing for Efficient Demand Side Management in Smart Grids
    • Year: 2023
    • Citations: 56
  • Title: Estimation of Harmonic Emission of Electric Vehicles and Their Impact on Low Voltage Residential Network
    • Year: 2021
    • Citations: 23
  • Title: A Comparative Study of Maximum Power Point Tracking Techniques for Solar Systems
    • Year: 2019
    • Citations: 21
  • Title: Low Power and High Speed Dadda Multiplier Using Carry Select Adder with Binary to Excess-1 Converter
    • Year: 2020
    • Citations: 13
  • Title: Current Harmonic Aggregation Cases for Contemporary Loads
    • Year: 2022
    • Citations: 12