Optimal installation of multiple DG units using competitive swarm optimizer (CSO) algorithm
This paper investigates the optimal installation of multiple distributed generation (DG) units in radial distribution network using competitive swarm optimizer (CSO) algorithm. CSO algorithm is basically evolved from PSO algorithm but conceptually it is very different from PSO algorithm. In CSO algorithm, instead of using local best and global best for particle update, a pairwise competition between particles is introduced, so that the particle which fails in the competition will learn from the winner and update its position accordingly. The DG location and sizing problem is solved by the objective of minimizing total real power loss. Results demonstrate the effectiveness of the proposed method in minimizing total real power loss (Pioss) of the system. The dominance of the proposed method is also proved by comparing the simulation results with other optimization techniques.
2016 IEEE Congress on Evolutionary Computation (CEC)