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Electrical Engineering Intern

Black & Veatch

Contributed to the activities of the Power Systems team at Black and Veatch.

• Internships

Chair

IEEE PES Arizona State University Student Chapter

Lead organizer for the New York City branch of the People's Climate March, the largest climate march in history.

• Awarded 'Climate Hero' award by Greenpeace for my efforts organizing the march.
• Men of the year 2014 by Time magazine

Doctor of Philosophy

Arizona State University

Electrical Engineering

• Advisor: Prof. Mojdeh Khorsand

Master of Science

Arizona State University

Electrical Engineering

• Advisor: Prof. Mojdeh Khorsand

Bachelor of Technology

P.E.S University

Electrical and Electronics Engineering

• Advisor: Prof. Sangeeta Modi

Cirrus Logic Women Leaders in STEM

Cirrus Logic

Awarded to recognize women who have demonstrated leadership and contributions in the fields of Science, Technology, Engineering, and Mathematics (STEM).

A Data Mining Approach for Behind the Meter Residential Load Composition

IEEE

Authors: Nirupama Pudukkarai Srinivas, Sara Ostovar, Mojdeh Khorsand This paper reviews the evolution of microgrids, their control strategies, and protection schemes, emphasizing challenges in adapting conventional methods. It also covers optimization algorithms, relay coordination, and key international standards for microgrid operation.

A Comprehensive Review of Microgrids, Control Strategies, and Microgrid Protection Schemes

The Electrochemical Society

Authors: Nirupama Pudukkarai Srinivas, Sangeeta Modi This paper reviews the evolution of microgrids, their control strategies, and protection schemes, emphasizing challenges in adapting conventional methods. It also covers optimization algorithms, relay coordination, and key international standards for microgrid operation.

Pole-to-Pole Fault Detection Algorithm Using Energy Slope for Microgrids

IEEE

Recent global traction towards meeting energy demand through renewable resources due to ecological, resource depletion, and fiscal concerns has led to increased development in distributed energy generation. Microgrids have proven as promising solutions for energy generation due to their flexible yet robust topology with various control strategies. The main challenges with microgrids are associated with bidirectional flow of power and renewable injection at various points of the microgrid. Most protection schemes used in conventional utility grids are less effective against faults and disturbances in microgrids. Further, the inherent intermittency of renewable resources can make microgrid protection challenging. The work in this paper comprises of literature review of microgrids, fault analysis, and protection schemes employed for power systems. This paper aims to cover the simulation and fault analysis of DC (Direct Current) Pole-to-Pole faults in an islanded radial DC solar-based microgrid of two sources and three loads. Further, a fault detection algorithm using the energy slope values is proposed, implemented, and analyzed with respect to the system under consideration.

Comparative Analysis of Traditional and Soft Computing Techniques of MPPT in PV Applications

IEEE

Rising global population has led to a surge in energy demand which has been met by conventional sources of energy such as coal and natural gas hitherto, which has led to a stark depletion of these resources and they are environmentally extravagant. Renewable energy poses as an attractive alternative with sources like solar energy being ubiquitous. Solar systems, however, have low conversion efficiency which causes a low power output. This is countered by using a Maximum Power Point Tracker (MPPT) which employs selected algorithms to operate the photovoltaic (PV) array (Voc=36.3V, Isc=7.84A per module) to extract maximum power. This paper presents a relative analysis of the Perturb & Observe (P&O) method and soft computing-based Fuzzy logic algorithms with five and seven linguistic variables under changing conditions of irradiation and temperature. In addition to this, the results of different membership functions employed in the fuzzy logic algorithm are further analyzed and presented.

Bidding Generation Tool Computing

A Day Ahead and Real Time Bidding Generation Tool for DER Aggregators with PV and Energy Storage Resources to participate in the wholesale energy and ancillary market with accordance to NYISO regulations.

• Energy Markets
• Optimization