ABOUT THE COURSE:
This course provides a comprehensive exploration of modern distribution networks, covering key areas such as the fundamentals of network design, integration of Distributed Energy Resources (DER), load flow analysis, and optimal power flow (OPF). It delves into enhancing reliability and resiliency and examines the coordination between transmission and distribution systems. Advanced topics include the use of AI for intelligent control, fault analysis, and protection in DER-integrated systems, as well as automation for network restoration. Additionally, the course highlights the critical role of cyber-physical systems in ensuring grid security and monitoring. Further, mathematical formulations to solve such challenges are described and validated with real-time data and software demonstrations. The practical implications and applications of these modules include optimizing energy efficiency, integrating renewable energy sources, enhancing grid reliability and resilience, improving fault detection and response, and securing modern digitalized power systems, all of which are essential for adapting to the evolving needs of power distribution in Metro, Urban/Semi-Urban, and rural locations of India.
INTENDED AUDIENCE: 10000 (UG 4th year students, PG, and PhD research scholars, industry personnel, power system operators, distribution network operators, faculty members from private and government academic institutes etc.)
PREREQUISITES:
Course 1: Distribution Network Analysis
Course 2: Power System Operation and Control
Course 3: Smart Grid Technologies
Course 4: Computer-Aided Power System Analysis
Course 5: Artificial Intelligence and Soft Computing
INDUSTRY SUPPORT: State Power Distribution companies, DISCOMs Private sector: ABB, Schneider, Siemens, Tata Power, GE, BSES Rajdhani, Adani Electricity, Reliance Power, CESC etc. and all private sectors dealing with renewable energy and distribution networks
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