Minimization of power losses in distribution system using symbioitic organism search algorithm

The load at distribution system is rapidly growing day by day due to increase in industrial, domestic and commercial needs. The increased demand in distribution system at load centers has been met by increasing the power generation. One of the alternative to meet the required load demand is reduction or minimization of power losses in distribution network. The losses are minimized by placing and sizing of capacitors or Distributed Generator (DG), increasing the size of conductor, changing the taps of the transformer etc. In today's world scenario, DGs are playing an important role in reduction of power losses for meeting the load demand at distribution system. Placement and sizing of DG for minimizing the power loss in distribution system is a combinatorial optimization problem. Efficient deterministic techniques are not available, hence metaheuristic are used to solve. Some efforts have been made to solve this combinatorial optimization problem for Constant power load by using Symbiotic Organism Search (SOS). The performance of SOS is better as compared with other algorithms. In this paper other than Constant power load (CP), two more load models i.e., Constant Current Load (CI) and Constant Impedance Load (CZ) have been also used as benchmark problems using Symbiotic Organism Search (SOS). The major advantage of SOS algorithm as compared to Genetic Algorithm is that SOS has better solution quality and does not require any controlling parameters. Results show that SOS has better performance as compared to GA. Two test bus systems 33 bus system and 85 bus system with different load models are considered for testing the algorithms.