Novel application of Selfish Herd Optimisation based Two Degrees of Freedom Cascaded Controller for AGC Study

• Published in: 2019 8th International Conference on Renewable Energy Research and Applications (ICRERA) pp. 851 - 856
• Main Authors: Jena, Narendra Kumar, Patel, Nimai Charan, Sahoo, Subhadra, Sahu, Binod Kumar, Dash, Subhransu Sekhar, Mohanty, K B., Bayindir, R.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-11-2019
• Subjects: Automatic generation control; Cascaded Controller; Heuristic algorithms; Mathematical model; Optimization; Power system dynamics; Power system stability; Renewable energy sources; Selfish Herd Optimisation; Two-degrees of freedom
• ISSN: 2572-6013
• DOI: 10.1109/ICRERA47325.2019.8996512

The aim of this paper is to investigate the automatic generation control (AGC) issues of a two-area power system comprising of five diversified sources like thermal unit, hydro unit, wind unit, diesel unit and a photovoltaic (PV) unit. Distinctive non-linearities, for example, governor dead band (GDB), generation rate constraint (GRC), and Boiler dynamics of the concerned sources are contemplated. A novel two degree of freedom PID with derivative filter cascaded with PD with derivative filter (2DOF-PIDN-PDN) controller is designed by applying a bio-inspired optimization algorithm named Selfish Herd Optimization (SHO) to ameliorate the dynamic performance over PID controller. The improved dynamic response as well as robustness analysis confer that the recommended 2DOF-PIDN-PDN controller is more superior and proficient.