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School of Electrical Engineering & Computer Science UI-ASSIST 2018-Oral and Poster Presentations

India Presentation

Suresh C. Srivastava
Santanu K. Mishra

Presentation

 

Driving Grid Resilience 
Through UI-ASSIST

Michael Pesin

Presentation

US Presentation

Noel Schulz
Anurag Srivastava

Presentation

RD&D Scenario in India in Clean Energy

Smart Grids and Energy Storage Perspective
Sanjay Bajpai

Presentation

 

US India CollAborative For Smart DiStribution System WIth STorage

Report of Activities (Indian Team)

Presentation

Goals for Breakout Session

Anurag Srivastava
Noel Schulz
Dianne Daley Laursen

Presentation

Lab Test Bed: Indian Consortium

This project aims to evolve future distribution grid that will allow the continual increase of Distributed Energy Resources (DERs) penetration towards a carbon-free electricity system. R&D Activities on Active Distribution Network Concepts, Storage Optimization and Management, Electric Vehicle, Renewable Integration, Market and Policy Issues, and Cyber-security Measures etc., must be carried on. Five lab scale pilots, each in US and India, are developed to proof these concepts. This poster presents the plan for the test beds to be developed in India at IIT Kanpur, IIT Roorkee, IIT Delhi, IIT Madras, IIT Bhubaneswar, and TERI. This poster presents the outline and particular research focus of each of these lab test beds.

UIASSIST_Lab-Test-bed_india

Probabilistic Feeder Load Forecasting using Stochastic Quantile Multiple Linear Regression

This paper presents point load forecasting using multi-variable linear regression (MLR). Load forecasting predicts load demand for planning, operation, resource scheduling and so on in power system. Total electric demand dynamically changes in a power system and mainly depends on temperature, humidity, wind speed, human nature, regular activities, events, etc. independent input variables. For the help of sensors and data science, enough historical and future input data with good accuracy are easily available. MLR is solved by direct method for the least square error objective. Mean absolute percent error of the point MLR forecast is 3.98% for a field recorded data set and is shown in Result section. Furthermore, quantile LR for probabilistic forecasting is formulated for least absolute deviation objective using iterative method and will be simulated in next step.

FHC-Paper-Final

An Effective Inertia Control Scheme for Solar PV Systems with Conventional dq Controller

This paper proposes the application of a traditional dq controller to provide virtual inertia to the Solar PhotoVoltaic (SPV) based Distributed Generators (DGs) by adjusting its Phase Locked Loop (PLL) parameters. The relationship between the phase angle of the inverter and power mismatch is derived in terms of the inertia constant. Based on this, an equivalent inertial constant expression is obtained. The proposed controller is tested for a SPV system connected to a grid represented by a Synchronous Generator (SG) which is double the rating of the SPV system. Real-Time Digital Simulator (RTDS) platform is used to investigate the effectiveness of the proposed scheme and its performance has been compared with a Virtual Synchronous Generator (VSG) scheme under load disturbances and bolted fault.

INDO_UI-ASSIST_RAKESH

Performance Analysis of Reduced Communication Network in DC Microgrid

Distributed secondary controllers for dc microgrids have proven to be more effective and reliable as compared to the decentralized and centralized controllers, respectively. The distributed secondary controller relies on information exchange between the distributed units. Conventionally, a full communication network topology is used, wherein all controllers communicate with each other. Recently, adoption of consensus control in DC microgrids have enabled achieving good performance using reduced communication network. This work aims at comparing the performance of the secondary controller with reduced and full communication topologies. It is shown that, with proper tuning of gains, the secondary controller under reduced communication has similar performance as under full communication. The results are substantiated with numerical simulations using MATLAB/Simulink.

IIT Kanpur Field Demonstration Pilots

Under UI-ASSIST Project, IIT Kanpur has planned to set up three field demonstration pilots. One of them is Rural Pilot in two village hamlets in Kanpur, with SPV, Battery Storage, and Biomass plant; the second being an Urban pilot within IIT Kanpur with SPV, battery storage in multi story housing towers and thermal storage in an academic building; and the third one is anSemoiurban pilot with SPV, Battery storage and EV charging in two lanes of single story housing inside IIT Kanpur campus. All the pilots will be monitored at an existing SCADA/AMI control room, built as part of the ‘Smart City’ project funded by Ministry of Power, Government of India. This existing platform will also be used for implementing the DSO/ ADMS functions in the UI-ASSIST project. The poster depicts the plan of these field demonstration pilots along with the existing smart city control center.

IIT-kanpur_Field-pilot-poster

Estimation of Fault Location in DC Microgrids Using its Transient Characteristics

One of the main challenges in adopting the dc distribution system is the lack of effective solution to the fault protection. Protection system includes protective devices such as fuses, circuit breakers, fault detection and location algorithms. Traditional fault location methods used for ac networks are not directly applicable to the dc microgrids due to extensive use of power electronic converters and the absence of phasor measurements. In this work, a detailed study of various power electronic converters’ response for different types of faults is carried out. The fault current transient is characterized in terms of peak value and time to reach the peak current. This information is utilized to develop a fault location algorithm based on transient voltage and current measurements. Both line to line and monopole ground faults are analyzed separately and algorithms are developed based on the rate of change of current. Direct short circuit faults are located using local measurements, while communication based technique is utilized to locate the impedance faults. High rate transient measurements at two ends are synchronized before applying the fault location algorithm. The algorithm is validated on a ±600 V meshed dc grid, for both the types of faults under wide range of fault impedance at different fault locations.

poster_Anju_IITK

Performance Analysis of Reduced Communication Network in DC Microgrid

Distributed secondary controllers for dc microgrids have proven to be more effective and reliable as compared to the decentralized and centralized controllers, respectively. The distributed secondary controller relies on information exchange between the distributed units. Conventionally, a full communication network topology is used, wherein all controllers communicate with each other. Recently, adoption of consensus control in DC microgrids have enabled achieving good performance using reduced communication network. This work aims at comparing the performance of the secondary controller with reduced and full communication topologies. It is shown that, with proper tuning of gains, the secondary controller under reduced communication has similar performance as under full communication. The results are substantiated with numerical simulations using MATLAB/Simulink.

Poster_Sahoo-Anand

Indo-U.S. Science and Technology Forum

The Indo-U.S. Science and Technology Forum (IUSSTF) established under an agreement between the Governments of India and the United States of America in March 20 00, is an autonomous, bilateral organization jointly funded by both the Governments that promotes science, technology, engineering and biomedical research and innovation through substantive interaction among government, academia and industry. The Department of Science & Technology, Government of India and the U.S. Department of State are the respective nodal departments.

Indou-US-Poster

Indo-U.S. Joint Clean Energy Research & Development Centre

Energy cooperation is a central element of the U.S.-India Strategic Partnership. Recognizing the need to address climate change, ensure mutual energy security, and build a clean energy economy that drives investment, job creation, and economic growth; India and the United States launched the U.S.-India Partnership to Advance Clean Energy (PACE) on November 24, 2009 under the U.S.-India Memorandum of Understanding to enhance cooperation on Energy Security, Energy Efficiency, Clean Energy and Climate Change. As a priority initiative under the PACE umbrella, the U.S. Department of Energy (DOE) and the Government of India signed an agreement to establish the Joint Clean Energy Research and Development Center (JCERDC) on November 4, 2010. The JCERDC is designed to promote clean energy innovation by teams of scientists and engineers from India and the United States.

JCERDC-Poster

 

Pilot Demonstration of Grid-Scale Battery Energy Storage Systems (BESS)

1) “Grid-Scale Battery Energy Storage Systems (BESS) Within BRPL Licensee Area of NCT of Delhi” – TERI, along with BSES Rajdhani Power Limited (BRPL), will demonstrate grid-scale Battery Energy Storage Systems (BESS) within BRPL licensee area in the NCT of Delhi, India. The aim of this urban commercial pilot project under UI-ASSIST is to showcase BESS capabilities, especially at the downstream of the distribution network thereby reducing stress on network elements through peak shaving application. The outcome of this pilot project would also lead to the development of a set of guidelines on battery sizing, charging/discharging algorithms and to the identification of revenue streams for utilities via cost-benefit analysis etc. for deployment of BESS at the distribution level.

2) “Smart Controller Laboratory (SC Lab)” – TERI has established a state of the art laboratory facility at its research campus in TERI GRAM (Gwal Pahari, Haryana India) in order to carry out research on renewable energy based microgrids/DERs, smart grids, energy storage and electric vehicles. This lab was established in the year 2012 with funding support from the Royal Norwegian Embassy under the TERI-Norwegian Framework Agreement (NFA). The Infrastructural facilities in the laboratory are further being extended under UI-ASSIST in order to carry out specific research on Battery Energy Storage Systems (BESS) and Electric Vehicles (development, testing and validation of BESS charging/discharging algorithms, simulation of system performance before filed deployment etc.)

Posters_SCLab-BESS

Cyber-Physical Resiliency Analysis of the Power Distribution System

Smart cyber-physical power distribution systems form an integral part of smart city infrastructure. With integrated communication technologies, smart distribution system transmits the data obtained from the physical field devices to the control center for intelligent decision making and automation. Recent cyber-attacks have exposed vulnerabilities in the existing power system infrastructure. In contrast with faults and natural disasters, the cyber-attacks are generally well planned and follow certain protocols to deceive the system operator and remain undetected. A smart distribution system must be resilient to cyber-attacks. In this research we present a cyber-physical resiliency analysis of a distribution feeder based on cyber-attacks and other contingencies. A physical resiliency score in the event of cyber-attacks on generating stations and power transmission lines is obtained for all possible attack scenarios. A cyber resiliency score based on the MITRE ATT&CK framework considering sequential atomic steps for a realistic cyber-attack is formulated. The physical and cyber resiliency scores are combined using decision making processes to obtain a single cyber-physical resiliency score. This research provides an insight to the system operator on how resilient the system is in the event of an attack. Furthermore, a system operator based on the proposed resiliency score can take necessary steps for improving the resiliency of the system.

UI_ASSIST_Kush

Thank you for participating in the first annual UI-ASSIST Review team meeting.

The submission deadline for your presentation materials is July 25, 8:00 a.m. PST. Presentations may be uploaded to the project website and will be submitted in our DOE quarterly report.

The UI-ASSIST project will be adopting the citation guidelines used by IEEE.

UI ASSIST Poster Guidelines First Annual Review Meeting Portland, OR

Posters should be designed to supplement and complement the speed talks, providing more comprehensive summary and details about each team’s work.

Be sure to include:

  • A list of research goals and activities for which your theme is working
  • Highlights of significant achievements (outputs)
  • Highlights of significant impacts (outcomes)
  • A table of team deliverables and status: completed, in progress, where need assistance
  • A list of key partners or projects, ongoing and in foreseeable future

Formatting, etc.:

  • Author lists should include all of your theme members and other contributors.
  • Acknowledge UI ASSIST on the poster

This work is supported by the Department of Energy under Award Number DE-IA0000025 for UI-ASSIST Project and the Department of Science and Technology, Government of India in partnership with the Indo-US Science and Technology Forum.

  • The target audience is other team scientists and funders.
  • Use a 4’ wide x 3’ high format.
  • UI ASSIST logo on posters.

Template for UI ASSIST Joint Poster Presentation

Template for UI ASSIST India Poster Presentation

Template for UI ASSIST USA Poster Presentation

Upload your poster Presentation and abstract

If you do not have both your abstract and poster ready now, please email just your abstract to Dianne Laursen by noon on Friday,  July 27th.

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