NIT Andhra’s training program provides a platform for researchers in the fields of intelligent power systems
Data-driven strategies are used in areas such as smart grid, power system stability and security, renewable energy systems, energy management system
The program was organized by the institute as part of the AICTE Training and Learning Academy (ATAL)
The National Institute of Technology (NIT) in Andhra Pradesh organized a five-day online training course on “Data Driven Strategies in Smart Power Systems and Control-2021”. The event will end on November 26.
Data-driven strategies are interdisciplinary in nature and are used in a wide variety of areas such as smart grids, power system stability and security, renewable energy systems, micro-grids, and management systems. Energy. This program aims to equip participants with a basic understanding of data-driven strategies and their frameworks that have established cutting-edge performance in the fields of electrical systems and control.
The program was organized within the framework of the AICTE Training and Learning Academy (ATAL), which was created with a vision “To empower faculty to achieve higher education goals such as access, equity and quality ”.
Addressing the inaugural event, CSP Rao, Director – NIT Andhra Pradesh, said, “In recent days, hard-hitting algorithms have been driven by artificial intelligence (AI) and electrical engineering is no exception. Such algorithms have been essential in bridging the gap between the increasing demand for electrical power and the depletion of power sources. The role of electric power supply systems is to generate, transmit and distribute electric power; effectively operating such a large system is a colossal task.
The intervention of renewable energy sources has intensified the complexity of control strategies for the efficient functioning of the system. Classical techniques based on artificial intelligence have handled the complexity to some extent. However, the problem to be solved requires custom algorithms which are a fusion of advancements in various fields such as machine learning, deep learning, optimization, adaptive control, etc. With this in mind, the FDP provides the foundation for understanding and exploring advanced algorithms in electrical systems, Rao added.
DM Vinod Kumar, Department of Electrical Engineering, NIT Warangal, at the first conference, said: “Smart and intelligent calculation and control techniques play a vital role in building the future of electrical engineering and become a technology. emerging in view of future energy demand, climate change, renewable energy penetration, energy management system and load side demand management. The transformation from the conventional grid to smart grids presents many challenges in the case of the Indian scenario in particular. Advanced compute and communication technologies are needed to create an end-to-end cyber power system. “
Intelligent data collection devices in the intelligent grid such as AMI, PMU, WAMS, RTU, SCADA and IED are the backbone of intelligent power systems and control in energy management systems. Data analysis plays a critical role in automating the operation of smart grids, including decisions. Students, faculty, and engineers should understand the applications of advanced communication devices, machine learning, artificial intelligence, big data, and cyber-physical systems in the power and energy industry. energy. System-level thinking is the key component of competence where a complex electrical system interacts with computer and data systems, he explained in more detail.
Recognizing the importance of data-driven techniques, which have developed over the years due to several factors, the institute organized training for researchers which covered:
⮚ Large area active control
⮚ Adaptive protection and control
Network and device management
⮚ Advanced sensors and measurements
Knowledge extraction by intelligent methods
⮚ Developments in modeling and control of Smart Grids
⮚ Demand management in Smart Grid
⮚ Impact of artificial intelligence on the design of missile weapon systems
⮚ Advanced techniques for optimizing hybrid power systems with electric vehicles.
The main results of this five-day online training are as follows:
Knowledge of data-driven methods in intelligent electrical systems and control applications.
⮚ Hands-on experience simulating fundamentals on deep learning models using Python and its applications in power systems.
⮚ Hands-on experience with Simscape Onramp in MATLAB.
Explore knowledge about the impact of artificial intelligence on the design of missile weapon systems.
Last updated on November 25, 2021