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Dive into the research topics where Adarsh Nagarajan is active.

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Featured researches published by Adarsh Nagarajan.


photovoltaic specialists conference | 2016

Voltage support study of smart PV inverters on a high-photovoltaic penetration utility distribution feeder

Fei Ding; Annabelle Pratt; Tom Bialek; Frances Bell; Michael McCarty; Kahveh Atef; Adarsh Nagarajan; Peter Gotseff

This paper reports on tools and methodologies developed to study the impact of adding rooftop photovoltaic (PV) systems, with and without the ability to provide reactive power, on the primary voltage profile of a distribution feeder. Simulation results are provided from a study of a SDG&E utility distribution feeder. The simulation model of the feeder was built in OpenDSS and verified by comparing the simulated voltages to field measurements. First, all PV inverters were set to operate at unity power factor, and the impact on feeder voltages was analyzed. Then simulations were conducted with voltage support activated for all the smart PV inverters. These included different constant power factor settings and Volt/VAr controls. Modeling results quantify and illustrate the ability of these smart inverters to provide reactive power that impacts the primary voltage.


ieee/pes transmission and distribution conference and exposition | 2016

Advanced inverter functions and communication protocols for distribution management

Adarsh Nagarajan; Bryan Palmintier; Murali Baggu

This paper aims at identifying the advanced features required by distribution management systems (DMS) service providers to bring inverter-connected distributed energy resources into use as an intelligent grid resource. This work explores the standard functions needed in the future DMS for enterprise integration of distributed energy resources (DER). The important DMS functionalities such as DER management in aggregate groups, including the discovery of capabilities, status monitoring, and dispatch of real and reactive power are addressed in this paper. It is intended to provide the industry with a point of reference for DER integration with other utility applications and to provide guidance to research and standards development organizations.


ieee pes innovative smart grid technologies conference | 2017

Application of autonomous smart inverter Volt-VAR function for voltage reduction energy savings and power quality in electric distribution systems

Fei Ding; Andu Nguyen; Sarah Walinga; Adarsh Nagarajan; Murali Baggu; Sudipta Chakraborty; Michael McCarty; Frances Bell

This paper evaluated the impact of smart inverter Volt-VAR function on voltage reduction energy saving and power quality in electric power distribution systems. A methodology to implement the voltage reduction optimization was developed by controlling the substation LTC and capacitor banks, and having smart inverters participate through their autonomous Volt-VAR control. In addition, a power quality scoring methodology was proposed and utilized to quantify the effect on power distribution system power quality. All of these methodologies were applied to a utility distribution system model to evaluate the voltage reduction energy saving and power quality under various PV penetrations and smart inverter densities.


ieee pes innovative smart grid technologies conference | 2017

Power hardware-in-the-loop evaluation of PV inverter grid support on Hawaiian electric feeders

Austin Nelson; Kumaraguru Prabakar; Adarsh Nagarajan; Shaili Nepal; Anderson Hoke; Marc Asano; Reid Ueda; Earle Ifuku

As more grid-connected photovoltaic (PV) inverters become compliant with evolving interconnections requirements, there is increased interest from utilities in understanding how to best deploy advanced grid-support functions (GSF) in the field. One efficient and cost-effective method to examine such deployment options is to leverage power hardware-in-the-loop (PHIL) testing methods, which combine the fidelity of hardware tests with the flexibility of computer simulation. This paper summarizes a study wherein two Hawaiian Electric feeder models were converted to real-time models using an OPAL-RT real-time digital testing platform, and integrated with models of GSF capable PV inverters based on characterization test data. The integrated model was subsequently used in PHIL testing to evaluate the effects of different fixed power factor and volt-watt control settings on voltage regulation of the selected feeders using physical inverters. Selected results are presented in this paper, and complete results of this study were provided as inputs for field deployment and technical interconnection requirements for grid-connected PV inverters on the Hawaiian Islands.


photovoltaic specialists conference | 2016

Methods for dynamic analysis of distribution feeders with high penetration of PV generators

Adarsh Nagarajan; Raja Ayyanar

An increase in the number of inverter-interfaced photovoltaic (PV) generators on existing distribution feeders affects the design, operation, and control of the distribution systems. Existing distribution system analysis tools are capable of supporting only snapshot and quasi-static analyses. Capturing the dynamic effects of PV generators during the variation in distribution system states is necessary when studying the effects of controller bandwidths, multiple voltage correction devices, and anti-islanding. This work explores the use of dynamic phasors and differential algebraic equations (DAE) for impact analysis of PV generators on the existing distribution feeders.


north american power symposium | 2016

Improving advanced inverter control convergence in distribution power flow

Adarsh Nagarajan; Bryan Palmintier; Fei Ding; Barry Mather; Murali Baggu

Simulation of modern distribution system powerflow increasingly requires capturing the impact of advanced PV inverter voltage regulation on powerflow. With Volt/var control, the inverter adjusts its reactive power flow as a function of the point of common coupling (PCC) voltage. Similarly, Volt/watt control curtails active power production as a function of PCC voltage. However, with larger systems and higher penetrations of PV, this active/reactive power flow itself can cause significant changes to the PCC voltage potentially introducing oscillations that slow the convergence of system simulations. Improper treatment of these advanced inverter functions could potentially lead to incorrect results. This paper explores a simple approach to speed such convergence by blending in the previous iterations reactive power estimate to dampen these oscillations. Results with a single large (5MW) PV system and with multiple 500kW advanced inverters show dramatic improvements using this approach.


power and energy society general meeting | 2017

Network reduction algorithm for developing distribution feeders for real-time simulators

Adarsh Nagarajan; Austin Nelson; Kumaraguru Prabakar; Andy Hoke; Marc Asano; Reid Ueda; Shaili Nepal


Archive | 2016

Hawaiian Electric Advanced Inverter Grid Support Function Laboratory Validation and Analysis

Austin Nelson; Adarsh Nagarajan; Kumar Prabakar; Vahan Gevorgian; Blake Lundstrom; Shaili Nepal; Anderson Hoke; Marc Asano; Reid Ueda; Jon Shindo; Kandice Kubojiri; Riley Ceria; Earle Ifuku


Archive | 2016

Feeder Voltage Regulation with High-Penetration PV Using Advanced Inverters and a Distribution Management System: A Duke Energy Case Study

Bryan Palmintier; Julieta Giraldez; Kenny Gruchalla; Peter Gotseff; Adarsh Nagarajan; Tom Harris; Bruce Bugbee; Murali Baggu; Jesse Gantz; Ethan Boardman


Archive | 2016

Photovoltaic Impact Assessment of Smart Inverter Volt-VAR Control on Distribution System Conservation Voltage Reduction and Power Quality

Fei Ding; Adarsh Nagarajan; Sudipta Chakraborty; Murali Baggu; Andu Nguyen; Sarah Walinga; Michael McCarty; Frances Bell

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Murali Baggu

National Renewable Energy Laboratory

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Austin Nelson

National Renewable Energy Laboratory

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Fei Ding

National Renewable Energy Laboratory

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Peter Gotseff

National Renewable Energy Laboratory

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Anderson Hoke

National Renewable Energy Laboratory

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Bryan Palmintier

National Renewable Energy Laboratory

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Kumaraguru Prabakar

National Renewable Energy Laboratory

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Shaili Nepal

National Renewable Energy Laboratory

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Dylan Cutler

National Renewable Energy Laboratory

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Raja Ayyanar

Arizona State University

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