Automatic Generation Control in De-centralized Electricity market using Adaptive Neuro-Fuzzy Inference System (ANFIS)

This paper proposes Automatic Generation Control (AGC) in Decentralized Electricity market using a Adaptive Neuro-Fuzzy Inference System (ANFIS). ANFIS controller facilitates simulation of various types of transactions that occur in decentralized electricity market. In this paper only bi-lateral transactions are considered between Gencos in different areas. The ANFIS controller provides faster response compared to PI controller to regain system stability. The proposed ANFIS controller is tested on New England 39 bus System and 75 bus Indian power system. The system reaches a stable state with minimum % overshoot and minimum settling time using ANFIS controller. A comparison between centralized AGC (AGC) and de-centralized AGC (DAGC) schemes with ANFIS and PI controllers is presented.