Author/Authors :
Hantash, Neda Faculty of Graduate Studies - An-Najah National University,Nablus, State of Palestine , Khatib, Tamer Department of Energy Engineering and Environment - An-Najah National University, Nablus, State of Palestine , Khammash, Maher Department of Electrical Engineering - An-Najah National University, Nablus, State of Palestine
Abstract :
In this paper, an improved particle swarm optimization method (PSO) is proposed to optimally size and place a DG unit in anelectrical power system so as to improve voltage profile and reduce active power losses in the system. An IEEE 34 distribution bussystem is used as a case study for this research. A new equation of weight inertia is proposed so as to improve the performance of the PSO convention alalgorithm.-is development is done by controlling the inertia weight whichaffects the updating velocity of particles in the algorithm. Matlab codes are developed for the adapted electrical power system and the improved PSO algorithm.Results show that the proposed PSO algorithm successfully finds the optimal size and location of the desired DG unit with acapacity of 1.6722MW at bus number 10. -is makes the voltage magnitude of the selected bus equal to 1.0055pu and improves the status of the electrical power system in general. -e minimum value of fitness losses using the appliedalgorithm is found to be0.0.0406 while the average elapsed time is 62.2325s. In addition to that, the proposed PSO algorithm reduces the active power losses by 31.6%. -is means that the average elapsed time is reduced by 21% by using the proposed PSO algorithm as compared to the conventional PSO algorithm that is based on the liner inertia weight equation.
