Allocation of distributed generations based on improved particle swarm optimization algorithm

Power system structure has changed when the system is with DG. The structure has change to complicated new model with distributed generations from traditional open network. The voltage and power losses of traditional network will be influenced by the location connected with DG, reactive power, active power and the number of DG. The purpose to connect DG is to improve reliability of the system, reduce the loss of network and reduce the cost. In order to achieve this goal, this paper analyzes the indicator of power loss and takes it as objective function. Considering the superior properties of particle swarm optimization (PSO) algorithm in solving discrete values problem, we use the improved PSO algorithm (the algorithm is improved by the Tabu Search mechanism) to study the problems which include the positions, capacity and numbers of DGs. At last, verify the validity of the method by simulation experiment.