Advanced STATCOM Control with the Optimized FOPTID-MPC Controller

Abstract

Fuel cells are essential components of renewable energy sources. There are many industrial applications related to them. One of the sample applications is electrical power compensation systems (EPCS). EPCS, as one of the essential parts of electrical installations, are used to eliminate reactive power. In this study, the effective control of a static compensation system developed for fuel cell power-generation plants is studied to eliminate the reactive power caused by the loads. The static compensator is a five-level inverter consisting of 24 IGBTs. Here, advanced and hybrid controllers are used and tested together. In the study, fractional-order proportional–integral–derivative controller-based model predictive controller (MPC), tilt-integral-derivative controller-based MPC controller, and hybrid fractional-order proportional-tilt-integral-derivative-based MPC (FOPTID-MPC) controller are used, and their efficiencies compared in terms of transient response characteristics and an error-based performance function. In addition, the parameter adjustments of the controllers are made using the Pathfinder Optimization Algorithm. The effectiveness of the proposed FOPTID-MPC controller scheme is shown.

KEYWORDS:

• Fractional-order PID
• Fuel cell
• Model predictive control (MPC)
• Pathfinder algorithm (PFA)
• PTID
• Static compensator
• TID

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Kenan Yanmaz

Kenan Yanmaz received a BS degree in electrical and electronics engineering from Karadeniz Technical University, Trabzon, Turkey, in 2003 and an MS degree and PhD degree in electrical and electronics engineering from Karadeniz Technical University, Trabzon, Turkey, in 2010 and 2018, respectively. He is currently working as an assistant professor at Giresun University. His research interest includes electrical power systems, power electronics, control systems, renewable energy, and energy management. Corresponding author. E-mail: [email protected]

Onur Ozdal Mengi

Onur Ozdal Mengi received a BS degree in electrical and electronics engineering from Firat University, Elazig, Turkey, in 2000 and a MS degree and a PhD degree in electrical and electronics engineering from Karadeniz Technical University, Trabzon, Turkey, in 2004 and 2011, respectively. He worked at Giresun University, Giresun, Turkey, from 2002 to 2019. He has been working as assoc prof in the Department of electrical and electronics engineering at Giresun University since 2019. He has published many papers in journals, and national and international conferences. His current research interests include control systems, renewable energy, energy management, and power electronics. E-mail: [email protected]

Erdinc Sahin

Erdinc Sahin was born in Giresun, Turkey, in 1986. He received a BSc degree in electrical and electronics engineering from Eskisehir Osmangazi University in 2009, and an MSc E degree in control and automation engineering from Istanbul Technical University in 2011, and a PhD degree in electrical engineering from Karadeniz Technical University, Trabzon, Turkey, in 2017. He is currently an assistant professor with the Department of Computer Engineering, Giresun University. His research areas include electrical power systems, fractional order modeling and control, meta-heuristic algorithms, and power electronic devices. E-mail: [email protected]