Design of a Novel AGC Action for a Linked Hydro Governing System

Abstract

This paper present an initial effort of collaborating hybrid bacteria foraging oriented particle swarm optimization with linear quadratic regulator (LQR) design for automatic generation control (AGC) of power delivery system having power generation through hydro turbines in interconnected control areas to match the frequency variations as well as tie-power interchange to the well planned value after sudden load disturbance in interconnected system. The enactment of LQR highly depend upon the selection of state cost weighing matrix (Q) and control cost weighting matrix (R) in order to achieve the best control efforts. However, most of the researchers assume the structure of Q and R to be an identity and hence the LQR control action was restricted within certain range. Hence, an early attempt is made to compute the structure of Q and R for LQR through hybrid bacteria foraging oriented PSO for AGC of hydro system and application results are computed for various cases considering error evaluated and graphical AGC responses for step load alteration, influence of AGC non-linearities on the output of AGC, parametric alterations and random load alteration to show the efficacy as well as robustness of the present control design.

Keywords:

• advance linear quadratic regulator
• load frequency control
• hydro-hydro system
• hybrid BFO-PSO
• non-linearity analysis
• robust performance

Additional information

Notes on contributors

Avinash Panwar

Avinash Panwar is presently working toward his Ph.D. at Department of Electrical Engineering, School of Engineering and Technology, SANGAM University, India. He has the qualifications of B.E., M. Tech from Institute of Technology & Management (Bhilwara), Shri Balaji college of Engineering and Technology, (Jaipur), India respectively. His area of interest includes power system operation and control, renewable energy technology and applied soft computing.

Vinesh Agarwal

Vinesh Agarwal is presently working as Associate Professor in Department of Electrical Engineering, School of Engineering and Technology, SANGAM University, India. He has more than 18 years of teaching and industrial experience. He has the qualifications of B.E., M. Tech and Ph.D. from recognized institution of India. His area of interest includes renewable energy and conventional power systems which includes wind, PV, hybrid power systems, distributed generation, grid integration of renewable energy, FACTS, power system, and power electronics and smart grid.

Gulshan Sharma

Gulshan Sharma is presently working as Senior Lecturer in Department of Electrical Engineering Technology, University of Johannesburg, South Africa. He has the qualifications of B. Tech, M. Tech and Ph.D. He was a post-doctoral research fellow at Faculty of EBIT, University of Pretoria, South Africa from 2015 to 2016. He is a Y rated researcher from National Research Foundation (NRF) of South Africa. He is working as Academic Editor of International Transactions on Electrical Energy System Journal, Hindawi. He has published several research papers in international journals & conferences and has been continuously engaged in guiding research activities at graduate/post-graduate and Ph.D. levels. His area of interest includes power system operation and control, renewable power generation, FACTS and application of AI techniques to power systems.

Sachin Sharma

Sachin Sharma is presently working as Assistant Professor in Department of Electrical Engineering, Graphic Era Deemed to be University, Dehradun, India. He has completed PhD from MNIT Jaipur, India and M. Tech from YMCA university of Science and Technology, Faridabad. His area of interest includes power system operation and control and renewable energy integration and application of AI techniques to the power systems, battery energy storage system, demand response management.