Genetic Algorithm-Optimized Adaptive Network Fuzzy Inference System-Based VSG Controller for Sustainable Operation of Distribution System

Mohd Hanif Othman, Hazlie Mokhlis (), Marizan Mubin, Nur Fadilah Ab Aziz, Hasmaini Mohamad, Shameem Ahmad and Nurulafiqah Nadzirah Mansor
Additional contact information
Mohd Hanif Othman: Department of Electrical Engineering, Faculty of Engineering, University of Malaya (UM), Kuala Lumpur 50603, Malaysia
Hazlie Mokhlis: Department of Electrical Engineering, Faculty of Engineering, University of Malaya (UM), Kuala Lumpur 50603, Malaysia
Marizan Mubin: Department of Electrical Engineering, Faculty of Engineering, University of Malaya (UM), Kuala Lumpur 50603, Malaysia
Nur Fadilah Ab Aziz: Department of Electrical and Electronic Engineering, University Tenaga Nasional (UNITEN), Jalan Ikram-UNITEN, Kajang 43000, Malaysia
Hasmaini Mohamad: School of Electrical Engineering, College of Engineering, University Teknologi MARA (UITM), Shah Alam 40450, Malaysia
Shameem Ahmad: Department of Electrical Engineering, Faculty of Engineering, University of Malaya (UM), Kuala Lumpur 50603, Malaysia
Nurulafiqah Nadzirah Mansor: Department of Electrical Engineering, Faculty of Engineering, University of Malaya (UM), Kuala Lumpur 50603, Malaysia

Sustainability, 2022, vol. 14, issue 17, 1-16

Abstract: To achieve a more sustainable supply of electricity and reduce dependency on fuels, the application of renewable energy sources-based distribution systems (DS) is stimulating. However, the intermittent nature of renewable sources reduces the overall inertia of the power system, which in turn seriously affects the frequency stability of the power system. A virtual synchronous generator can provide inertial response support to a DS. However, existing active power controllers of VSG are not optimized to react to the variation of frequency changes in the power system. Hence this paper introduces a new controller by incorporating GA-ANFIS in the active power controller to improve the performance of the VSG. The advantage of the proposed ANFIS-based controller is its ability to optimize the membership function in order to provide a better range and accuracy for the VSG responses. Rate of change of frequency (ROCOF) and change in frequency are used as the inputs of the proposed controller to control the values of two swing equation parameters, inertia constant (J) and damping constant (D). Two objective functions are used to optimize the membership function in the ANFIS. Transient simulation is carried out in PSCAD/EMTDC to validate the performance of the controller. For all the scenarios, VSG with GA-ANFIS (VOFIS) managed to maintain the DS frequency within the safe operating limit. A comparison between three other controllers proved that the proposed VSG controller is better than the other controller, with a transient response of 22% faster compared to the other controllers.

Keywords: virtual synchronous generator; active power controller; inertial frequency response (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/17/10798/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/17/10798/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:17:p:10798-:d:901851

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().