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.
Adaptive chaotic symbiotic organisms search power loss minimization reactive power dispatch symbiotic organisms search voltage deviation minimization
Birincil Dil | İngilizce |
---|---|
Konular | Mühendislik |
Bölüm | Makaleler |
Yazarlar | |
Yayımlanma Tarihi | 1 Ocak 2019 |
Yayımlandığı Sayı | Yıl 2019 Cilt: 19 Sayı: 1 |