The progression towards smart grids, integrating renewable energy resources, has increased the integration of distributed generators (DGs) into power distribution networks. However, several economic and technical challenges can result from the unsuitable incorporation of DGs in existing distribution networks. Therefore, optimal placement and sizing of DGs are of paramount importance to improve ...

radiotherapy dose calculations can be evaluated by monte carlo (mc) simulations with acceptable accuracy for dose prediction in complicated treatment plans. in this work, standard, livermore and penelope electromagnetic (em) physics packages of geant4 application for tomographic emission (gate) 6.1 were compared versus monte carlo n-particle extended (mcnpx) 2.6 in simulation of 6 mv photon lin...

In this paper, the impacts of installing superconducting fault current limiter (SFCL)in radial and loop power distribution system are evaluated to improve voltage sag in both cases of with and without distributed generations (DG). Among various SFCLs, the hybrid type with a superconducting element in parallel with a current limiting reactor (CLR) is selected. This is more effective than resisto...

This paper deals with a new, efficient power flow method for unbalanced radial distribution systems based on improved backward/forward sweep (BFS) algorithm. This proposed method utilizes simple and flexible numbering scheme and takes full advantage of the radial structure of distribution systems. This method is tested on an 8-bus Three-phase unbalanced distribution system. The numerical test p...

In this study, the radial distribution and gravimetric storage capacities of hydrogen on coronene (C24H12) and its Si substituted forms, C24H12, C24-nSinH12 (n= 4-24), have been investigated at 298 K and 0.1 MPa (standard situation) using (N,V,T) Monte Carlo simulation by Lennard-Jones (LJ) 12-6 potential. The results show that the increase of number of silicon substitution doesn’t have any eff...

Introduction: This study presents an effective method with high stability called the coyote optimization algorithm (COA) for optimal integration of renewable distributed generation units (DGUs), including biomass (BMs), wind turbine (WTs) and photovoltaic (PVs). The main aim is to minimize annual power loss cost considering three hybrid systems combination PV WT, BM PV, WT in time-varying load ...