Affiliations: [a]
Department of EEE, Bannari Amman Institute of Technology, Erode, Tamil Nadu, India
| [b]
School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India
| [c]
School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India
| [d] SCSE, VIT University, Chennai, Tamil Nadu, India
| [e] Department of Information Sciences and Technology, Penn State Abington, PA
Correspondence:
[*]
Corresponding author. V. Indra Gandhi, School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India. E-mail: [email protected].
Abstract: This paper presents a new evolutionary approach for reconfiguration of radial systems. The framework applied for optimization is Symbiotic Organism Search Algorithm (SOSA). The algorithm is impressed by the interactive behavior opted by the living organisms for surviving and to propagate in the ecosystem. This concept aims for optimal survivability in the ecosystem involving the harm and benefits received from other organisms. The aim is to find optimal reconfiguration and to reduce the real power loss in the distribution side. This approach is examined on 16-bus and 33-bus systems. The results show a significant reduction of real power loss. The time required for execution is less when compared to other approaches. Based on the results calculated with distribution load flow algorithm the SOSA gives better results in terms of real power loss reduction and it is best suitable for digital automation systems.
Keywords: Symbiotic organism search algorithm, reconfiguration, power loss reduction
