Sizing and Sitting of Static VAR Compensator (SVC) Using Hybrid Optimization of Combined Cuckoo Search (CS) and Antlion Optimization (ALO) Algorithms

Hana Merah, Abdelmalek Gacem, Djilani Ben Attous, Abderezak Lashab, Francisco Jurado and Mariam A. Sameh
Additional contact information
Hana Merah: VTRS Laboratory, Department of Electrical Engineering, University of El-Oued, El-Oued 39000, Algeria
Abdelmalek Gacem: VTRS Laboratory, Department of Electrical Engineering, University of El-Oued, El-Oued 39000, Algeria
Djilani Ben Attous: VTRS Laboratory, Department of Electrical Engineering, University of El-Oued, El-Oued 39000, Algeria
Abderezak Lashab: Department of Energy Technology, University of Aalborg, 9220 Aalborg East, Denmark
Francisco Jurado: Department of Electrical Engineering, University of Jaen, 23700 Linares, Spain
Mariam A. Sameh: Department of Electrical Engineering, Future University in Egypt (FUE), Cairo 11835, Egypt

Energies, 2022, vol. 15, issue 13, 1-20

Abstract: Worldwide, due to the abrupt growth of population, the load demand has been rising dramatically in the last few years. This led to an increase in branch overloads, voltage deviations, and power losses. These problems may result in line outages or the occurrence of blackouts. Flexible AC transmission system (FACTS) devices can be installed in the power system to ensure increased power flow capability and flexible voltage control to address these issues. In this paper, one of the most used FACTS is utilised. It is called Static VAR Compensator (SVC). This controller is one of the most commonly used shunt FACTS controllers due to its low cost in comparison to others, ease of operation, and integration into the power grid. Two Optimization algorithms are combined to form a hybrid optimization approach: Cuckoo Search (CS) and Antlion Optimization (ALO). This hybrid approach employs the exploration of ALO to adjust the optimum allocation and size for SVCs in the power system. This study proposes the IEEE 57 bus scheme as a fairly large structure, with the 50 and 41 branch outages considered the worst-case scenarios for line outages in this system. The simulation results show that the proposed methodology balances exploring the research space and exploiting the best existing solutions compared to some of the other introduced approaches in the literature.

Keywords: static var compensator (SVC); cuckoo search (CS); antlion optimization (ALO); hybrid optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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