The Adaptive Chaotic Symbiotic Organisms Search Algorithm Proposal for Optimal Reactive Power Dispatch Problem in Power Systems

Year 2019, Volume: 19 Issue: 1, 37 - 47, 01.01.2019

Enes Yalçın , M. Cengiz Taplamacıoğlu Ertuğrul Çam

Abstract

DOI: 10.26650/electrica.2019.18008

This paper presents an adaptive chaotic
symbiotic organisms search algorithm (A-CSOS) for finding the solution of
optimal reactive power dispatch (ORPD) problem which is one of the main issues
of power system planning and operations. The most important advantage of
symbiotic organisms search algorithm (SOS) is that is not need any particular
algorithm parameters. However, the SOS algorithm has some features to be
enhanced, like falling into local minima and sluggish convergence. A-CSOS
algorithm with adding new and improved features like adaptivity and chaos to
conventional SOS algorithm is proposed to solve ORPD problem. The ORPD problem
is mainly focused on minimization of transmission loss (Ploss) and total
voltage deviation (TVD). To determine the optimal set points of control
variables including generator bus voltages, tap positions of transformers, and
reactive power outputs of shunt VAR compensators is very crucial for
minimization to Ploss and TVD. The proposed algorithm is implemented on IEEE
30-bus test power systems for ascertaining the performance of A-CSOS algorithm
on ORPD problem. The results showed that the proposed approach is up to 10.39%
better than many of which the latest algorithms in literature and encourage the
researchers to implement A-CSOS algorithm to ORPD problem. 

Cite this article as: Yalçın E,
Taplamacıoğlu MC, Çam E. “The Adaptive Chaotic Symbiotic Organisms Search
Algorithm Proposal for Optimal Reactive Power Dispatch Problem in Power
Systems”, Electrica, 2019; 19(1): 37-47.

Keywords

Adaptive chaotic symbiotic organisms search, power loss minimization, reactive power dispatch, symbiotic organisms search, voltage deviation minimization

References

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• Enes Yalçın received the B.Sc degree in Electrical and Electronics Engineering from Kırıkkale University in 2006 and M.Sc degree in Electrical and Electronics Engineering from Kırıkkale University in 2010. He is currently a Technical Inspector in TEİAŞ and Ph.D student at Gazi University. His research interests include power system optimization, optimal power flow, grid integration of renewable energy sources and transmission system planning.
• Müslüm Cengiz Taplamacıoğlu graduated from Department of Electrical and Electronics Engineering, Gazi University. He received the degrees of M.Sc. in Industrial Engineering from Gazi University and in Electrical and Electronics Engineering from Middle East Technical University and received the degree of Ph.D. in Electrical, Electronics and System Engineering from University of Wales (Cardiff, UK). He has been a full time Professor of the Electrical and Electronics Engineering since 2000. He is currently working as a Professor at Gazi University. His research areas consist of high voltage engineering, optimization of power system operation and control problems, renewable energy source integration problems, electrical field computation, power systems and protection devices.
• Ertuğrul Çam received the B.Sc degree in Electrical and Electronics Engineering from Dokuz Eylul University in 1996, the M.Sc degree in Electrical and Electronics Engineering from Ege University in 1999 and the Ph.D degree in Mechanical Engineering from Kırıkkale University in 2004. He is currently working as a Professor at Kırıkkale University. His research areas consist of power system control, renewable energy sources, fuzzy logic.