The research shows the importance of the intelligent agent-based approach in a deregulated electricity market and concentrates mainly on the strategic trading method adopted in a restructured power market. The challenge of the current power sector operation and control is the significance of agent-based computation in the wholesale power market during day-ahead/spot market scenario. The GenCo‘s act as agents and will exercise learning capabilities and efficient communication with other entities in the electricity market. This agent-based methodology integrates a dynamic testing and implements realistic spot market with renewable energy intrusion through its learning capability.
Department of Electrical and Electronics Engineering, School of Engineering, Coimbatore
Master’s from EEE (power systems/ power electronics/embedded systems) and CSE (data science/artificial intelligence) background is preferable.
Associate Professor