Frequency Regulation of Microgrid with Renewable Sources Using Intelligent Adaptive Virtual Inertia Control Approach

Abstract

Frequency control of small inertia microgrids (MGs) with amalgamation of renewable energies like wind and solar is a difficult job. Virtual inertia control (VIC) scheme is the concept of enhancing the MGs inertia employing storage elements. In the present study, an optimized fuzzy adaptive virtual inertia control strategy has been proposed for adaptive allocation of virtual inertia constant. To tune the suggested controllers, an improved golden jackal optimization (i-GJO) is projected in which priority is given to the better jackal’s during the search process, and also sine cosine adopted scaling factor is used to modify the jackal’s position throughout search process. The effectiveness of i-GJO method is evaluated by comparing the results with golden jackal optimization (GJO) and other similar recently proposed optimization algorithms. Then, proportional-integral-derivative controllers are tuned in VIC environment with fixed virtual inertia constant (K_VT) using proposed i-GJO technique, and the superiority of i-GJO over genetic algorithm, particle swarm optimization, and GJO is demonstrated. Finally, fuzzy based controller with constant K_VT as well as fuzzy adaptive K_VT has been designed using the proposed i-GJO technique. The sensitivity of the controller is also examined under irregular load changes and various rates of RES amalgamation.

Keywords:

• adaptive fuzzy PIDF (AFPIDF)
• frequency control
• golden jackal optimization (GJO)
• microgrid (MG)
• virtual inertia control (VIC)

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

S. Nanda Kumar

S. Nanda Kumar has Completed Graduation in Electrical and Electronics Engineering in 1997, M.Tech degree in “Power Electronics and Drives” in 2011 and Ph.D from Anna University, Chennai, India in the year 2023. Presently he is Serving as Deputy General Manager in Power Grid Corporation of India Limited (A Government of India under Ministry of Power). He has been working in the field of Power Grid for past 22 years. His research area of interest is in power system and renewable energy integration with power grid.

Nalin Kant Mohanty

Nalin Kant Mohanty has completed Master degree in 2003 from, VTU, Karnataka and Ph.D degree in 2012 from Anna University, Chennai. He is currently working as a Professor in the department of Electrical and Electronics Engineering Department, at Sri Venkateswara College of Engineering, Chennai, Tamil Nadu, India. He has more than 20 years of teaching and research experience. His research areas of interests are Power Electronics and Drives, Power Systems, Renewable Energy Systems and Electrical Vehicles. He has published more than 60 research papers in peer reviewed journals and International conferences. He is the fellow of IEI and IETE, life member of ISCA and ISTE.

Subhransu Sekhar Dash

Subhransu Sekhar Dash is currently working as a Professor and Head of Electrical Engineering Department, at Government College Of Engineering, Keonjhar, Odisha. He is having more than 27 years of teaching and research experience. He has obtained his PhD degree from Anna University, Chennai in year of 2006, Master degree from UCE, Burla, Odisha in 1996. His research areas of interests are Electric power systems Optimization techniques, Smart Grid, Energy Management, Power system operation and Control and AI. He has published more than 285 manuscripts in peer reviewed journals and International conferences. He is editor and reviewers of many International journals. He is a member of IEEE, Institution Of Engineers(India) and life member of ISTE.