Multi Verse Optimized Fractional Order PDPI Controller for Load Frequency Control

ABSTRACT

Multi Verse Optimization (MVO) technique is a newly developed population based algorithm established on the perception of white holes and black holes in a multi-verse for finding out all possibilities of search spaces. This algorithm is applied to tune the proposed Fractional Order Proportional Derivative Proportional Integral (PPDPI) controller of a multi area power system having hydro, thermal, and gas power plants in each area and the system is analysed in two different prospects i.e. with HVDC link and without HVDC link to have realistic situation. The effectiveness of the proposed controller tuned with MVO for load frequency control under small load perturbation (SLP) is compared with other well-known optimization algorithm for the same power system. In this paper, a Fractional-Order Cascade Controller (FOCC) is proposed which is the combination of both the concepts of fractional calculus and cascade control. Cascade connection of FOPI and FOPD are combined in the proposed controller. Change in load and change in system parameters are also incorporated to verify the robustness of the power system where the controllers tuned by the proposed MVO technique. It is observed that the MVO tuned controllers outperformed the performance of recently published TLBO and DE tuned controllers in the area of dynamic performance, stability, and robustness.

KEYWORDS:

• Automatic load frequency control
• Fractional-Order Cascade Controller (FOCC)
• Multi area realistic power system
• PID controller
• Multi Verse Optimization (MVO) technique

Additional information

Notes on contributors

Prafulla Kumar Sahoo

Prafulla Kumar Sahoo received his BTech degree from The Institute of Engineers (India) in 2001 and his master's degree from University College of Engineering, Osmania University, Hyderabad in 2009. He is currently pursuing his PhD from KIIT Deemed to be University, Bhubaneswar. His current research areas include load frequency control, HVDC, and FACTS with intelligent optimization techniques.

Srikanta Mohapatra

Srikanta Mohapatra received BTech degree from College of Engineering and Technology, Bhubaneswar, Odisha in 1991 and MTech degree from Institute of Technical Education and Research, Bhubaneswar, Odisha in 2009. He completed his doctoral degree from KIIT deemed to be University, in 2014His areas of research include power system stability, load frequency control, FACTS, optimization techniques, distributed generation and power system stability.

E-mail: [email protected]

Deepak Kumar Gupta

Deepak Kumar Gupta was born in Lucknow, UP India, in 1990. He received BTech in electrical engineering fromBBDNITM Lucknow in 2011 and MTech in power systems from NIT Hamirpur, HP in 2013. He completed his PhD from IIT (BHU), Varanasi in 2018. His current research interests include control of power systems, FACTS devices,WAMS, and optimization techniques.

E-mail: [email protected]

Siddhartha Panda

Siddhartha Panda received his BE degree from Bangalore University, ME degree in power systems engineering from University College of Engineering, Burla, Sambalpur University, India and PhD from IIT, Roorkee. Currently, he is working professor in the Department of Electrical Engineering, VSSUT, Burla, Odisha. His areas of research include power system stability, FACTS, optimization techniques, distributed generation, and wind energy.

E-mail: [email protected]