Abstract
This paper presents a reconfiguration of electric power distribution network based on the symbiotic organism search algorithm (SOS). The goal here is to come out with an optimal reconfiguration of a power distribution network that minimises the active power losses for a good power flow. This method is applied to IEEE 33 bus and the results show a significant reduction of active power losses. The execution time for this algorithm is found to be smaller compared to other metaheuristic algorithms.
Highlights
The growth of the demand of electrical energy is of a great challenge for the entire society
This paper presents a reconfiguration of electric power distribution network based on the symbiotic organism search algorithm (SOS)
The goal here is to come out with an optimal reconfiguration of a power distribution network that minimises the active power losses for a good power flow. This method is applied to IEEE 33 bus and the results show a significant reduction of active power losses
Summary
The growth of the demand of electrical energy is of a great challenge for the entire society This calls for optimization of the production, the distribution and the use of electrical energy. Juan Li [5] proposed an algorithm based on graph theory applied on a network of 200 buses that minimize active and reactive losses during power flow. Subburaj et al [7] propose a genetic algorithm applied to a 16 buses This paper presents an approach of minimization of losses using symbiotic organism search algorithm (SOS) to optimize the reconfiguration of the power distribution network. V., et al [8] who use continuous functions We apply this algorithm on IEEE 33 bus
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