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. © 2019 - IOS Press and the authors. All rights reserved

Sathishkumar K

Department of Electrical Engineering

School of Electrical Engineering

Vellore Campus

Indragandhi V

Department of Energy and Power Electronics

Kumar C

Rawal B.S.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

A novel distribution system reconfiguration for loss minimization using symbiotic organism search algorithm

Journal of Intelligent & Fuzzy Systems

In this paper the network reconfiguration problem is formulated as non-linear objective optimization problem. The proposed solution to this problem is framed as a non-linear combinatorial optimization problem and status of switches is non-differentiable which is solved using modified bacterial foraging algorithm, the algorithm is modified for better convergence. The modified bacterial foraging algorithm is described in a general context and then applied specifically to the network reconfiguration problem. This program was tested on 16 bus, 33 bus & 69 bus test systems. The test results proved that the efficiency of modified bacterial foraging algorithm is better than other existing methodology. © 2015 Elsevier B.V. All rights reserved.

International Journal of Electrical Power & Energy Systems

Distribution system reconfiguration for loss minimization using modified bacterial foraging optimization algorithm

In this paper, a new efficient method to solve the network reconfiguration with an objective of improving power loss minimization and voltage profile of the distribution system is presented. A new Meta-heuristics Fireworks Algorithm (FWA) is proposed to optimize the radial distribution network while satisfying the operating constraints. FWA is a recently developed swarm intelligence based optimization algorithm which is conceptualized using the fireworks explosion process of searching for a best location of sparks. Network reconfiguration is formulated as a complex combinatorial optimization problem. The radial nature of the system is secured by generating proper parent node-child node path of the network during power flow. To demonstrate the applicability of the proposed method, it is tested on a standard IEEE 33- and 119-bus system. The simulated results are compared with other methods available in the literature. It is observed that the performance of proposed method is better than the other methods in terms of quality of solutions. Different abnormal cases are also considered during reconfiguration of network to study the effectiveness of the proposed method and the results obtained are found to be encouraging. © 2014 Elsevier Ltd. All rights reserved.

A new power system reconfiguration scheme for power loss minimization and voltage profile enhancement using Fireworks Algorithm

In this paper, a method based on bacterial foraging optimization algorithm (BFOA) is proposed for distribution network reconfiguration with the objective of loss minimization. A novel model to simplify a distribution network is presented. The feeder reconfiguration problem is formulated as a non-linear optimization problem, and BFOA is used to find the optimal solution. According to the characteristics of distribution network, some modifications are done to retain the radial structure and reduce the searching requirement. Test results of a 33 bus sample network have shown that the proposed feeder reconfiguration method can effectively ensure the loss minimization, and the BFOA technique is efficient in searching for the optimal solution. © 2011 Elsevier Ltd. All rights reserved.

Journal	Journal of Intelligent & Fuzzy Systems
Publisher	IOS Press
ISSN	1064-1246
Open Access	0