Research Article

Optimal Choice and Allocation of Shunt FACTS Devices Using Differential Search Algorithm

Volume: 7 Number: 2 August 31, 2022
EN

Optimal Choice and Allocation of Shunt FACTS Devices Using Differential Search Algorithm

Abstract

In this paper, new and efficient heuristic algorithm, Differential Search Algorithm (DSA), is used for optimal choice and allocation of shunt Flexible AC transmission systems (FACTS) devices, Static Var Compensator (SVC) and Static Synchronous Compensator (STATCOM). In the proposed optimal location method, SVC and STATCOM devices are located randomly and dynamically with objective of minimizing the real power loss, improving the voltage profile and enhancing the voltage stability. The best solution sets for objectives aforementioned are achieved by minimizing each objective functions by the proposed approach. In order to evaluate the proposed methodology, it has been tested on IEEE 30 bus system and compared to another widely used optimization algorithm, Artificial Bee Colony (ABC) algorithm. The validity of the proposed optimization algorithm is proven by the results and comparative analysis with other method.

Keywords

Supporting Institution

Mersin University Scientific Research Project Council

Project Number

2018-1-TP3-2868

References

  1. [1] Chang , C. S., Huang, J. S., "Optimal SVC placement for voltage stability reinforcement", Electric Power Systems Research, 42 (1997) : 165-172.
  2. [2] Biansoongnern, S., Chusanapiputt, S., Phoomvuthisarn, S., "Optimal SVC and TCSC placement for minimization of transmission losses", International Conference on Power System Technology 2006.
  3. [3] Bhattacharyya, B., Gupta, V. K., "Fuzzy genetic algorithm approach for the optimal placement of flexible AC transmission systems devices in a power system", Electric Power Components and Systems, 42(8) (2014) : 779-787.
  4. [4] Parizad, A., Khazali, A., Kalantar, M., "Application of HSA and GA in optimal placement of FACTS devices considering voltage stability and losses", Electric Power and Energy Conversion Systems, 2009 : 1-7.
  5. [5] Gerbex, S., Cherkaoui, R., Germond, A. J., "Optimal location of multi-type FACTS devices in power system by means of genetic algorithm", IEEE Transactions on Power Systems : A Publication of the Power Engineering Society, 16(3) (2001) : 537-544.
  6. [6] Abacı, K., Yamaçlı, V., Akdağlı, A., "Optimal power flow with SVC devices by using artificial bee colony algorithm", Turkish Journal Of Electrical Engineering & Computer Sciences, 2016, DOI: 10.3906/elk-1305-55.
  7. [7] Farsangi, M. M., Nezamabadi-Pour, H., Lee, K. Y., "Multi-objective VAR planning with SVC for a large power system using PSO and GA", Proceeding of Power System Conference & Exposition, (2006) : 274-279.
  8. [8] Benabid, R., Boudour, M., Abido, M. A., "Optimal location and setting of SVC and TCSC devices using non-dominated sorting particle swarm optimization", Electric Power Systems Research, 79 (2009) : 1668-1677.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

August 31, 2022

Submission Date

November 17, 2021

Acceptance Date

April 21, 2022

Published in Issue

Year 2022 Volume: 7 Number: 2

APA
Abacı, K. (2022). Optimal Choice and Allocation of Shunt FACTS Devices Using Differential Search Algorithm. Journal of Engineering Technology and Applied Sciences, 7(2), 125-139. https://doi.org/10.30931/jetas.1024878
AMA
1.Abacı K. Optimal Choice and Allocation of Shunt FACTS Devices Using Differential Search Algorithm. JETAS. 2022;7(2):125-139. doi:10.30931/jetas.1024878
Chicago
Abacı, Kadir. 2022. “Optimal Choice and Allocation of Shunt FACTS Devices Using Differential Search Algorithm”. Journal of Engineering Technology and Applied Sciences 7 (2): 125-39. https://doi.org/10.30931/jetas.1024878.
EndNote
Abacı K (August 1, 2022) Optimal Choice and Allocation of Shunt FACTS Devices Using Differential Search Algorithm. Journal of Engineering Technology and Applied Sciences 7 2 125–139.
IEEE
[1]K. Abacı, “Optimal Choice and Allocation of Shunt FACTS Devices Using Differential Search Algorithm”, JETAS, vol. 7, no. 2, pp. 125–139, Aug. 2022, doi: 10.30931/jetas.1024878.
ISNAD
Abacı, Kadir. “Optimal Choice and Allocation of Shunt FACTS Devices Using Differential Search Algorithm”. Journal of Engineering Technology and Applied Sciences 7/2 (August 1, 2022): 125-139. https://doi.org/10.30931/jetas.1024878.
JAMA
1.Abacı K. Optimal Choice and Allocation of Shunt FACTS Devices Using Differential Search Algorithm. JETAS. 2022;7:125–139.
MLA
Abacı, Kadir. “Optimal Choice and Allocation of Shunt FACTS Devices Using Differential Search Algorithm”. Journal of Engineering Technology and Applied Sciences, vol. 7, no. 2, Aug. 2022, pp. 125-39, doi:10.30931/jetas.1024878.
Vancouver
1.Kadir Abacı. Optimal Choice and Allocation of Shunt FACTS Devices Using Differential Search Algorithm. JETAS. 2022 Aug. 1;7(2):125-39. doi:10.30931/jetas.1024878