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Andhra Pradesh Faculty Development Programme Provides Platform to Researchers working on Data Driven Strategies in Smart Power Systems and Control

Data-Driven Strategiesare interdisciplinary in nature and used in areas such as Smart Grid, Power System Stability and Security, Renewable Energy Systems,Energy Management System

Further, Prof. C.S.P. Rao said, Further, the intervention of renewable energy sources has escalated the complexity of control strategies for the effective operation of the system. Classical Artificial Intelligence-based techniques have handled the complexity to an extent. However, the problem at hand demands customized algorithms which are a fusion of advancements in various fields like machine learning, deep learning, optimization, adaptive control, etc. In this view, the FDP equips with fundamentals needed to understand and explore the advanced algorithms in power systems.”

 

National Institute of Technology Andhra Pradesh is working to provide the platform for researchers in the areas of Smart Power Systems. Towards this, the Institute is organizing a five-day online training in ‘Data-Driven Strategies in Smart Power System and Control-2021’ from 22nd to 26th November 2021.

Data-Driven strategiesare interdisciplinary in nature and are used in a wide variety of areas of Smart Grid, Power system Stability and Security, Renewable Energy Systems, Microgrids, and Energy Management Systems. This program is aimed to equip the participants with a basic understanding of Data-driven strategies and its frameworks which have established state-of-the-art performance in the fields of power systems and control

The Program is being organized under AICTE Training and Learning (ATAL) Academy, which was established with a vision “To empower faculty to achieve goals of Higher Education such as access, equity, and quality.”

Addressing the inaugural event, Prof. C.S.P. Rao, Director, NIT Andhra Pradesh, said, “In recent days, impactful algorithms have Artificial Intelligence (AI) at its core and Electrical Engineering is no exception. Such algorithms have been critical to bridging the void between raising electrical energy demand and depleting energy sources. Power systems in electrical hold the role of generating, transmitting, and distributing electrical energy; operating such a vast system efficiently is a mammoth task.

Further, Prof. C.S.P. Rao said, Further, the intervention of renewable energy sources has escalated the complexity of control strategies for the effective operation of the system. Classical Artificial Intelligence-based techniques have handled the complexity to an extent. However, the problem at hand demands customized algorithms which are a fusion of advancements in various fields like machine learning, deep learning, optimization, adaptive control, etc. In this view, the FDP equips with fundamentals needed to understand and explore the advanced algorithms in power systems.”

Delivering the Inaugural lecture on ‘Modern Techniques in Smart Power System’, Prof.D. M. Vinod Kumar, Department of Electrical Engineering, NIT Warangal, said, “Smart and Intelligent Computational and Control techniques play a vital role in building the future of Electrical Engineering and become emerging technology in view of future energy demand, climate change, penetration of renewable energy, energy management system and load side demand management. The transformation from the conventional grid to smart grids has many challenges in the case of the Indian scenario particularly. Advanced computational and communication technologies are required to create an end-to-end cyber-enabled electric power system.

 

Further, Prof.D. M. Vinod Kumar said, “Intelligent data collection devices in the smart grid such as AMI, PMU, WAMS, RTU, SCADA, and IEDs form the backbone for smart power systems and control in Energy Management Systems. Data analytics play a vital role to automate the operation of smart grids including decisions.  The students, faculty, and engineers should understand the applications of advanced communication devices, Machine Learning, Artificial Intelligence, Bigdata, and Cyber-Physical Systems in the power and energy sector. System-level thinking is the key skill component where a complex electrical system interacts with computing and data systems.”

Recognizing the importance of data-driven techniques which has grown over the years due to several factors. NIT Andhra Pradesh has organised the training for researchers who are willing to work in the areas of

Data-driven strategies in Smart Power Systems and Control include

 

⮚      Wide area active control

⮚      Adaptive protection and control

⮚      Network management and devices

⮚      Advanced Sensors and Measurements

⮚      Knowledge extraction by intelligent methods

⮚      Developments in Modelling and Control of Smart Grids

⮚      Demand-side management in smart grid

⮚      Impact of Artificial Intelligence on Missile Weapon Systems Design

⮚      Advanced Optimization Techniques on Hybrid Power Systems with Electric Vehicles

 

The Top Outcomes from this five-day Online Training include:

⮚      Awareness of the data-driven methods in smart power systems and controlling applications

⮚      Hands-on experience on simulation of fundamentals on deep learning models using Python and its applications in Power Systems

⮚      Hands-on experience on Simscape Onramp in MATLAB

⮚      Explore the knowledge on the Impact of Artificial Intelligence on Missile Weapon Systems Design

 

Delivering the vote of thanks, Dr. T. Kiran, Assistant Professor, Department of Electrical Engineering, NIT Andhra Pradesh, expressed his gratitude to all the participants from various academic Institutes for making the Faculty Development Programme a success

Other Top speakers at the event include:

  • Prof.D. M. Vinod Kumar, NIT Warangal
  • Dr. Sahana Prabhu, Research Scientist and Technical Architect at Robert Bosch Engineering and Business Solutions Private Limited
  • Dr. P. Sankar, NIT Andhra Pradesh
  • Dr. Balakrishna. P, Senior Lead R&D Engineer in Smart Grid domain GE Grid Solutions, Hyd Technology Center, & Adjunct Faculty at IIT Bhubaneswar
  • Dr. V. Sandeep, NIT Andhra Pradesh
  • Dr. Vignesh V, IIT Tirupathi
  • Dr. S Kayalvizhi, NIT Tiruchirappalli
  • Dr. Surender Reddy S, Dept. of Railroad and Electrical Engineering, Woosong University, Daejeon, Republic of Korea
  • Mr. Srikant Srivastava, Scientist, Defence Research and Development Laboratory (DRDL), HYD
  • Mr. Ramana Anchuri, MathWorks India Pvt. Ltd.
  • Dr. T. Karthikeya Sharma, NIT Andhra Pradesh

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