Study on Dynamic Participation of Wind Turbines in Automatic Generation Control of Power Systems

Abstract

This article presents the design of optimal automatic generation control regulators for an interconnected power system incorporating dynamic participation of doubly fed induction generator based wind turbines. Two power system models are identified for the investigations. Power system model 1 is a two-area interconnected power system consisting of identical plants with non-reheat turbines, whereas power system model 2 consists of identical plants with non-reheat turbines and dynamic participation of doubly fed induction generator based wind turbines in both areas. An AC tie-line is used as area interconnection in both power system models. The designed optimal automatic generation control regulators are implemented, and the system dynamic responses for various system states are obtained considering a 1% load disturbance in one of the areas. The pattern of closed-loop eigenvalues is also determined to investigate system stability. From the investigations carried out in the work, it is inferred that the incorporation of doubly fed induction generator based wind turbines in both areas has appreciably improved the dynamic performance of the system under consideration. Moreover, system stability is ensured for both power system models.

Keywords:

• wind turbines
• doubly fed induction generator
• automatic generation control
• area control error
• optimal automatic generation control regulator
• closed-loop eigenvalues

Appendix: Nominal power system parameter values

Table

Additional information

Notes on contributors

Ibraheem

Ibraheem is currently with the Department of Electrical Engineering, Qassim Engineering College, Qassim University, Buraydah, Saudi Arabia, where he is working as professor of electrical engineering. Before taking up this assignment, he has rendered his services in Jamia Millia Islamia (Central University), New Delhi for over 25 years in various academic and administrative capacities. He obtained his B.Sc. Engg., M.Sc. Engg., and Ph.D. degree from Aligarh Muslim University, Aligarh, India in 1982, 1987, and 2000 respectively. He has published over 50 research papers in journals of national and international repute and over 100 research articles in conferences. He has guided 13 Ph.D. Thesis in the areas of Electrical Engineering. He has been engaged actively in carrying out research and guidance activities for undergraduate, post-graduate and Ph.D. levels. His areas of research interest include power system operation and control, automatic generation control, optimal control and soft computing techniques in power systems, HVDC transmission systems, deregulated power systems, smart grid and renewable energy systems.

Khaleequr Rehman Niazi

Khaleequr Rehman Niazi has over 25 years of teaching and research experience. Currently he is a professor in the Department of Electrical Engineering, Malaviya National Institute of Technology Jaipur, India. He has published over 100 papers in journals and conferences. He has supervised several Ph.D. and masters students. He has diversified research interests in the areas of conventional power and renewable energy systems, including power system stability, distribution network reconfiguration, flexible AC transmission systems (FACTS), and application of AI and ANN techniques to power systems.

Gulshan Sharma

Gulshan Sharma obtained his B. Tech in electrical engineering from Punjab Technical University, Jalandhar, India, in 2007 and his M. Tech in power systems from Jamia Millia Islamia University, New Delhi, India, in 2009. Currently he is a research scholar in the Electrical Engineering Department of Malaviya National Institute of Technology, Jaipur, India, and is working toward his Ph.D. His areas of interest are automatic generation control, soft computing techniques, and renewable power generation.