EN
A New Method Based on Artifıcial Bee Colony Algorithm for the Optimal Location of Shunt Connected Facts Devices
Abstract
In this paper, a new and easy to implement heuristic method related to the Artificial Bee Colony (ABC) algorithm is proposed for the optimal location of shunt connected Flexible AC transmission systems (FACTS) devices such as Static Var Compensator (SVC) and Static Synchronous Compensator (STATCOM) randomly and dynamically. Voltage stability enhancement, voltage profile improvement and active power loss minimization by using minimum number of devices and var compensator sizing are defined as the objective functions for the proposed methodology. Optimization results of the bi-objective and multi-objective functions are compared with the results reported in literature. Also, by comparing the results obtained by using ABC algorithm and Differential Evolution (DE) method, it can be stated that proposed algorithm can converge to better results by using minimum device number.
Keywords
References
- [1] Mark Ndubuka Nwohu , “Voltage Stability Improvement using Static Var Compensator in Power Systems”, Leonardo Journal of Sciences , 14, (2009): 167-172
- [2] 1moh Moh M. Aung and Soe W. Naing, “Voltage Stability Improvement Using Static VAR Compensator With Fuzzy Logic Controller” , International Journal of Advanced Computational Engineering and Networking, , 4(8) (2016).
- [3] Sarita S. Bhole , Prateek Nigam, “Improvement of Voltage Stability in Power System by Using SVC and STATCOM”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 4(2) (2015).
- [4] S. Robak, M. Januszewski and D.D. Rasolomampionona, “Power system stability enhancement using PSS and UPFC Lyapunov-based controllers: A comparative study”, Proc. of the Bologna Power Tech Conference Bologna, Italy, (2003): 23-26.
- [5] D.A. Ingole and V.N.Gohokar, “Voltage Stability Improvement In Multi-bus System Using Static Synchronous Series Compensator Energy Procedia 117 (2017): 999–1006
- [6] Romana Pradhan and Mohammed Nasir Ansari, “Voltage Stability Enhancement using Static VAR Compensator (FC-TCR).” , International Journal of Scientific & Engineering Research, 6(2) (2015).
- [7] C.S. Chang , J.S. Huang. “Optimal SVC placement for voltage stability reinforcement.” Electric Power Systems Research 42 (1997): 165-172.
- [8] Tjing T Lie, Wanhong Deng. “Optimal Flexible AC Transmission Systems (FACTS)devices allocation.” Electrical Power & Energy Systems, 19(2) (1997): 125-134.
Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Publication Date
April 30, 2018
Submission Date
April 8, 2018
Acceptance Date
March 28, 2018
Published in Issue
Year 2018 Volume: 3 Number: 1
APA
Yamaçlı, V., & Abacı, K. (2018). A New Method Based on Artifıcial Bee Colony Algorithm for the Optimal Location of Shunt Connected Facts Devices. Journal of Engineering Technology and Applied Sciences, 3(1), 17-34. https://doi.org/10.30931/jetas.413552
AMA
1.Yamaçlı V, Abacı K. A New Method Based on Artifıcial Bee Colony Algorithm for the Optimal Location of Shunt Connected Facts Devices. JETAS. 2018;3(1):17-34. doi:10.30931/jetas.413552
Chicago
Yamaçlı, Volkan, and Kadir Abacı. 2018. “A New Method Based on Artifıcial Bee Colony Algorithm for the Optimal Location of Shunt Connected Facts Devices”. Journal of Engineering Technology and Applied Sciences 3 (1): 17-34. https://doi.org/10.30931/jetas.413552.
EndNote
Yamaçlı V, Abacı K (May 1, 2018) A New Method Based on Artifıcial Bee Colony Algorithm for the Optimal Location of Shunt Connected Facts Devices. Journal of Engineering Technology and Applied Sciences 3 1 17–34.
IEEE
[1]V. Yamaçlı and K. Abacı, “A New Method Based on Artifıcial Bee Colony Algorithm for the Optimal Location of Shunt Connected Facts Devices”, JETAS, vol. 3, no. 1, pp. 17–34, May 2018, doi: 10.30931/jetas.413552.
ISNAD
Yamaçlı, Volkan - Abacı, Kadir. “A New Method Based on Artifıcial Bee Colony Algorithm for the Optimal Location of Shunt Connected Facts Devices”. Journal of Engineering Technology and Applied Sciences 3/1 (May 1, 2018): 17-34. https://doi.org/10.30931/jetas.413552.
JAMA
1.Yamaçlı V, Abacı K. A New Method Based on Artifıcial Bee Colony Algorithm for the Optimal Location of Shunt Connected Facts Devices. JETAS. 2018;3:17–34.
MLA
Yamaçlı, Volkan, and Kadir Abacı. “A New Method Based on Artifıcial Bee Colony Algorithm for the Optimal Location of Shunt Connected Facts Devices”. Journal of Engineering Technology and Applied Sciences, vol. 3, no. 1, May 2018, pp. 17-34, doi:10.30931/jetas.413552.
Vancouver
1.Volkan Yamaçlı, Kadir Abacı. A New Method Based on Artifıcial Bee Colony Algorithm for the Optimal Location of Shunt Connected Facts Devices. JETAS. 2018 May 1;3(1):17-34. doi:10.30931/jetas.413552