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Renewable Energy Towards Smart Grid
Select Proceedings of SGESC 2021
- Ashwani Kumar 0 ,
- S. C. Srivastava 1 ,
- S. N. Singh 2
Department of Electrical Engineering, National Institute of Technology Kurukshetra, Kurukshetra, India
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Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, India
Presents cutting-edge research in the emerging fields of micro, nano and smart devices and system
Includes a unique collection of chapters from academic researchers and practitioners
Consists papers related to smart grid, renewable energy, its integration, and DERs in the network
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 823)
Conference series link(s): SGESC: International Online Conference on Smart Grid Energy Systems and Control
Conference proceedings info: SGESC 2021.
- Table of contents
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Table of contents (36 papers)
Front matter, impact of oltc on nodal pricing of distribution system and comparison with dstatcom.
- Banothu Sridhar, Ashwani Kumar
Allocation of Wind-Based Distributed Generation Using Bacterial Foraging Optimization Algorithm in Electrical Distribution System
- Ashish Verma, Atma Ram Gupta
Reactive Power Requirement for Operating Wind-Driven Micro Grid in the Presence of Several Proportions and Classes of Static Load
- Nitin Kumar Saxena, Varun Gupta, Raj Shekhar Rajput, Ashwani Kumar, Atma Ram Gupta
Renewable Energy Resource Availability and Supply Guide in India
- Parveen Kumar, Manish Kumar, Ajay Kumar Bansal
Cloud Computing Data Security Techniques—A Survey
- Mayanka Gaur, Manisha Jailia
Review on Power Restoration Techniques for Smart Power Distribution Systems
- D. Sarathkumar, Albert Alexander Stonier, M. Srinivasan, L. Sahaya Senthamil
Feasibility Analysis of Standalone Hybrid Renewable Energy System for Kiltan Island in India
- Mohammad Shariz Ansari
Impact of Wind Power Participation on Congestion Management Considering Seasonal Load in Pool Electricity Market While Ensuring Loadability Limit
- Rahul Sagwal, Ashwani Kumar
Research and Analysis of the Efficiency of Power Consumption in Tunneling Sections
- V. Petrov, A. Sadridinov, A. Pichuev
Techniques Employed in Renewable Energy Sources Fed Smart Grid—A Comparative Study
- M. Nivedha, S. Titus
Numerical Simulation of Time Fractional Advection-Diffusion-Reaction Equation using Exponential B-Splines
- A. S. V. Ravi Kanth, Neetu Garg
Combined Economic Emission Dispatch of Thermal and Solar Photo Voltaic Generation Systems by Particle Swarm Optimization
- Rajanish Kumar Kaushal, Tilak Thakur
Impact of Capacitor Banks on the Nodal Prices of Meshed Distribution System
- Karimulla Polisetti, Atma Ram Gupta, Ashwani Kumar
Energy Scheduling of Residential Household Appliances with Wind Energy Source and Energy Storage Device
- Neelam Jaiswal, Sandeep Kakran
Real Power Loss Reduction by Hybridization of Augmented Particle Swarm Optimization with Improved Crow Search Algorithm
- Lenin Kanagasabai
Comparative Analysis of Peak Limiting Strategies in the Home Energy Management System
- Vikas Deep Juyal, Sandeep Kakran
Generation Scheduling Considering Emissions in Cost-Based Unit Commitment Problem
- Vineet Kumar, R. Naresh, Veena Sharma, V. Kumar
Unit Commitment Including Wind and Hydro Generators Using DWOA
- Ankit Uniyal, Ashwani Kumar
Generation and Reserve Scheduling Under Frequency Linked Pricing Regime
- Yajvender Pal Verma, Ashwani Kumar Sharma
The book contains select proceedings of the International Conference on Smart Grid Energy Systems and Control (SGESC 2021). The proceedings is divided into 03 volumes, and this volume focuses on renewable energy towards the smart grid. It includes papers related to smart grid, renewable energy, its integration, and DERs in the network for better energy management and ancillary services. The book presents cutting-edge research in the emerging fields of micro, nano, and smart devices and systems from experts. Most of the contributors have built devices or systems or developed processes or algorithms in these areas. This book is a unique collection of chapters from different areas with a common theme and will be immensely useful to academic researchers and practitioners in the industry.
- Renewable Energy Systems
- Energy Management
- Distributed Generation Solar Energy
- Wind Energy
- SGESC Proceedings
S. C. Srivastava, S. N. Singh
Dr. Ashwani Kumar is a Professor in the Department of Electrical Engineering, National Institute of Technology (NIT) Kurukshetra, India. He received his B. Tech. in Electrical Engineering from Pant Nagar University in 1988 and Masters’ degree in Power Systems from Panjab University, in 1994. He obtained his Ph.D. degree in Electrical Engineering from IIT Kanpur, India. He did Post-Doctoral from Tennessee Technological University, USA. His research areas are power system restructuring, distributed generation, integration of renewable energy systems into the deregulated power system, energy management, demand-side management, ancillary services, micro-grid, and smart grid. He has over 29 years of teaching and research experience, published 160 papers in various prestigious journals, conferences. He has executed two research projects sponsored by different funding agencies including DST and TTU. He has also carried out few consultancies assignments for power companies. Many of his research students have been awarded the prestigious POSOCO Power System Award (PPSA) for best thesis on all Indian levels.
Prof. S.C. Srivastava is a Professor in the Department of Electrical Engineering, Indian Institute of Technology (IIT), Kanpur, India. He completed his Ph.D. from IIT Delhi, India. His research areas are power system dynamics and stability studies, optimal power dispatch, security analysis and control, wide-area monitoring and control of power systems, power system restructuring and issues in the electricity market, renewable integration, DC and AC microgrid. He has published over 100 papers in several journals.
Prof. S.N. Singh obtained his M. Tech. and Ph. D. in Electrical Engineering from the Indian Institute of Technology Kanpur in 1989 and 1995. Presently, he is Vice-Chancellor of the Madan Mohan Malviya University of Technology Gorakhpur, and on leave from the position of Professor (HAG), Department of Electrical Engineering, Indian Institute of Technology Kanpur, India. His research interests include power system restructuring, FACTS, power system optimization and control, security analysis, and wind power. He has published over 440 papers in international and national journals and conferences. He has also written two books on Electric Power Generation, Transmission and Distribution, and Basic Electrical Engineering, published by PHI, India. Prof Singh has completed over 20projects in India and abroad.
Book Title : Renewable Energy Towards Smart Grid
Book Subtitle : Select Proceedings of SGESC 2021
Editors : Ashwani Kumar, S. C. Srivastava, S. N. Singh
Series Title : Lecture Notes in Electrical Engineering
DOI : https://doi.org/10.1007/978-981-16-7472-3
Publisher : Springer Singapore
eBook Packages : Energy , Energy (R0)
Copyright Information : The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN : 978-981-16-7471-6 Published: 02 March 2022
Softcover ISBN : 978-981-16-7474-7 Published: 03 March 2023
eBook ISBN : 978-981-16-7472-3 Published: 28 February 2022
Series ISSN : 1876-1100
Series E-ISSN : 1876-1119
Edition Number : 1
Number of Pages : XII, 458
Number of Illustrations : 23 b/w illustrations, 231 illustrations in colour
Topics : Energy Systems , Energy Policy, Economics and Management , Power Electronics, Electrical Machines and Networks , Renewable and Green Energy
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Smart Grid Group
Smart grid research, reports and presentations.
Towards Statistical Modeling and Machine Learning Based Energy Usage Forecasting in Smart Grid (pdf) Release Date: March 2015 This paper addresses the issue of quantifying uncertainties on the energy demand side. Specifically, the authors first develop approaches using statistical modeling analysis to derive a statistical distribution of energy usage. They then utilize several machine learning based approaches such as the Support Vector Machines (SVM) and neural networks to carry out accurate forecasting on energy usage
Electromagnetic Compatibility & Smart Grid Interoperability Issues: EMII Working Group White Paper (pdf) Release Date: December 5, 2012 This report introduces electromagnetic compatibility (EMC) as an integral process needed for the design of devices that are used in the operation of the Smart Grid, and is an output of the SGIP Electromagnetic Interoperability Issues Working Group (EMII WG). The report examines EMC issues for Smart Grid equipment on both the electric power system delivery and the power customer sides of the Smart Grid meter and summarizes recommendations for EMC standards. NIST Smart Grid Advisory Committee Report (pdf) Release Date: March 05, 2012 A Policy Framework for the 21st Century Grid: Enabling Our Secure Energy Future (pdf) Release Date: June 13, 2011 This report outlines policy recommendations that build upon the Energy Independence and Security Act of 2007 and the Obama Administration's Smart Grid investments to foster long-term investment, job growth, innovation, and help consumers save money. The report was prepared by the Subcommittee on Smart Grid of the National Science and Technology Council, Committee on Technology
Report to NIST on the Smart Grid Interoperability Standards Roadmap Release Date: June 2009 This report provides an Interim Roadmap for the development of the Interoperability Framework. It describes the current status, issues, and priorities for interoperability standards development and harmonization. The report also describes the high-level architecture for the smart grid including a conceptual model, architectural principles and methods and cyber security strategies.
NIST Presentations at the 2018 ISGT Release Date: March 16, 2018 Presentations by David Holmberg, Martin Burns, Eugene Song, and Jerry FitzPatrick at the Innovative Smart Grid Technologies (ISGT) Conference.
ISGT Panel: Innovative Research at the NIST Smart Grid Testbed Release Date: April 26, 2017 Presentations by Avi Gopstein, Jerry FitzPatrick, and Marty Burns at the Innovation Smart Grid Technology (ISGT) Conference on NIST Smart Grid and Cyber-Physical Systems (CPS) testbeds research.
NIST: Where World Class Science & Engineering Meet Real World Needs (pdf) Release Date: February 25, 2016 Presentation by Dr. Willie E. May, Under Secretary of Commerce for Standards and Technology and NIST Director at Industry of Things World USA Conference on paving the way to the industrial internet of things. Smart Grid as an Infrastructure Platform (pdf) Release Date: April 15, 2015 Presentation by Dr. David Wollman, Deputy Director, Smart Grid and Cyber-Physical Systems Program Office at April 2015 CARIMET Regional Workshop on Metrology and Technology Challenges of Climate Science and Renewable Energy
Frameworks and Data Initiatives for Smart Grid and Cyber-Physical Systems (pdf) Release Date: July 2, 2013 Presentation by Dr. David Wollman, Deputy Director, Smart Grid and Cyber-Physical Systems Program Office at July 2013 DEBS 2013 Conference
NIST Update- Grid Interop Meeting and Green Button Initiative (pdf) Release Date: December 20, 2012 Presentation by Dr. David Wollman, Deputy Director, Smart Grid & Cyber-Physical Systems Program at the December 2012 Smart Grid Task Force Meeting The Big Picture– Connecting the Dots Between Metrology, Standards and Conformity Assessment (pdf) Release Date:November 28,2012 Presentation by Dr. David Wollman, Deputy Director, Smart Grid and Cyber-Physical Systems Program at the NIST Standards Coordination Office Workshop on Connecting Metrology, Standards, and Conformity Assessment at NIST and Beyond. Working with Industry to Coordinate Development of Interoperability Standards (pdf) Release Date: August 1, 2012 Presentation by Dr. David Wollman, Deputy Director, Smart Grid and Cyber-Physical Systems Program at the Asia Pacific Energy Regulatory Forum Conference.
NIST Smart Grid Interoperability Panel as a Paradigm for "Smart" Water Standards (pdf) Release Date: June 20, 2012 Presentation by Dr. David Wollman,Deputy Director, Smart Grid and Cyber-Physical Systems Program at the Atlantic Council Watts to Water Workshop. Smart Grid Overview (pdf) Release Date: March 2, 2012 Presentation by Dr. George Arnold, Director, Smart Grid and Cyber-Physical Systems Program Office, National Coordinator for Smart Grid Interoperability NIST Engineering Laboratory for Sacramento State University. Introducing Green Button (pdf) Release Date: January 20, 2012 Presentation by Dr. David Wollman for the Association for Demand Response and Smart Grid Webinar. NIST Smart Grid Activities (pdf) Release Date: August 31, 2011 Presentation by Dr. George Arnold, National Coordinator for Smart Grid Interoperability Standards, NIST to House of representatives Science Committee staff members. Smart Grid Interoperability Standards: Governance Perspective (pdf) Release Date: June 9, 2011 Presentation by Dr. George Arnold, National Coordinator for Smart Grid Interoperability Standards, NIST at the National Strategy for Trusted Identities in Cyberspace (NSTIC) Workshop.
NIST Smart Grid Program Overview (pdf) Release Date: May 17, 2011 Presentation by Dr. George Arnold, National Coordinator for Smart Grid Interoperability Standards, NIST to U.S. House of Representatives Science, Space and Technology Subcommittee on Technology and Innovation staffers.
NIST Smart Grid Program Overview (pdf) Release Date: April 20, 2011 Presentation by David Wollman of the NIST Smart Grid Team to the Federal Smart Grid Task Force.
Remarks to the Federal Energy Regulatory Commission (pdf) Release Date: January 31, 2011 Presentation by Dr. George Arnold, National Coordinator for Smart Grid Interoperability Standards, Technical Conference on Smart Grid Interoperability Standards.
The Smart Grid and Consumer Electronics (pdf) Release Date: January 10, 2011 Presentation by Dr. George Arnold, National Coordinator for Smart Grid Interoperability Standards, NIST to the World Electronics Forum. Remarks to the IEEE Conference on Smart Grid Communication (pdf) Release Date: October 4, 2010 Presentation by Aneesh Chopra, U.S. Chief technology Officer & Associate Director for Technology, White House Office of Science and Technology Policy
Smart Grid Domestic and International Partnerships and Programs (pdf) Release Date: July 20, 2010 Presentation by Shannon Fraser, Office of Energy and Environmental Industries, International Trade Administration, U.S. Department of Commerce.
Documentary Standards Update: Smart Grid (pdf) Release Date: June 8-9, 2010 Presentation by Dr. George Arnold, National Coordinator for Smart Grid Interoperability Standards, NIST to the Visiting Committee on Advanced Technology
NIST Technical Note 1654:Regarding Electric Energy Savings, Power Factors, and Carbon Footprints: A Primer Release Date: October 2009 A short primer is presented which describes the underlying physical theory of certain devices that reduce the current drawn from power distribution lines by improving the power factor of residential electric circuits. A brief discussion is provided of the associated energy savings, change in power factor, and reduction of "carbon footprint." Performance Evaluation of Phasor Measurement Systems Release Date: July 2008 After two decades of phasor network deployment, phasor measurements are now available at many major substations and power plants. The North American SynchroPhasor Initiative (NASPI), supported by the US Department of Energy and the North American Electric Reliability Corporation (NERC), provides a forum to facilitate cultivating the efforts in phasor technology in North America and globally. Phasor applications have been explored and some are in today's utility practice. The IEEE C37.118 Standard is a milestone in standardizing phasor measurements and defining performance requirements. To comply with the IEEE C37.118 and to better understand the impact of phasor quality on applications, the NASPI Performance and Standards Task Team (PSTT) has prepared two additional comprehensive documents which leverage prior industry work (esp. in WECC) and international experience. The first document below (January 2008) describes PMU testing based on both IEEE C37.118 requirements and required dynamic performance tests. The second document below (June 2007) describes characterization of PMUs and instrumentation channels based on practical information. This paper summarizes the accomplished PSTT work and presents the methods for phasor measurement evaluation to assure consistent PMU system performance. Reference Values for Dynamic Calibration of PMUs Release Date: January 2008 This paper discusses measurements of the dynamic performance of electric power Phasor Measurement Units, PMUs, and their relation to the requirements of the IEEE Synchrophasor Standard C37.118-2005. In particular, it proposes a new method for monitoring the dynamic power signals that change in amplitude and frequency during the testing of PMUs. The new method estimates the reference values for dynamic power signals so they can be compared with the PMU values to determine the PMUs errors. This requires estimating the true time stamped values of dynamic power signals with low uncertainty. The paper also discusses the issue of aliasing of sampled dynamic signals, and the relationship between the requirement in the Standard to reject an out of band or interharmonic signal and dynamic signal performance. Dynamic Phasor Measurement Unit Test System Release Date: June 2007 This paper presents the plans and progress towards the development of a dynamic phasor measurement unit (PMU) performance test system at NIST. We describe an algorithm for taking time-synchronized samples of single-phase voltage and current power signals and calculating their dynamic parameters, in particular the signal magnitude, phase, frequency, and rate of change of frequency that a PMU reports. PMUs must time stamp their values at periodic Coordinated Universal Time (UTC) markers called the update times. Thus, to provide a reference for PMU testing the sampled data can be fit to a model to define the value of a dynamic parameter at a specific time. The analysis model proposed in this paper assumes that the dynamic magnitude and frequency parameters of the signals are constant over the sampling interval analyzed. This analysis interval is usually the same as the update period or an integer multiple of that period. In the proposed analysis model the dynamic magnitude and frequency parameters are considered a polynomial in time about the update times. The order of the polynomial can be adjusted in a way that meets the needs of the signal being analyzed, yet minimizes the computational effort and sensitivity to noise. We show that when the dynamic variations are analyzed in this way, a single matrix can be used to iteratively converge on a good estimate of the dynamic frequency and magnitude parameters. The polynomial model can be used to generate and analyze test signals. Several test patterns are proposed, which include linearly changing magnitudes or frequencies. As expected, during low voltage tests of the system, the analysis does very well when the generation model matches the analysis model. Several other generation models are also proposed, such as sine waves or damped sine waves. The proposed analysis model is shown to be very accurate in these cases as well.
Thesis Topics on Smart Grids
Applied field, optimization, data prediction, on-line and real-time algorithms, models and problems, grid optimization.
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