In recent years, capacitive and distributed generation sources as reactive power compensation and active power producers are useful components for increasing the efficiency of the distribution system. By the increase using in load and transmission and distribution costs, distributed generation and capacitor banks are allowed to provide electricity to consumers at the cheaper price and reduce losses, improve voltage profile and network benefit.
In this thesis, we tried to optimize the location and size of distributed generation resources and capacitor banks with the HSS algorithm (Hyper-Spherical Search) Using the technical and economic status of the distribution network.
To approach the load modeling, the real daily and annual curves has been used, so that the load is not constant and changes over time. Since the active and reactive power consumption is dependent on the voltage of the load proportional to the load type (residential, commercial and industrial), in this thesis the variable load model is used and also, the time effect on network variable costs (network losses and maintenance instruments) from the concepts of inflation and interest rates is taken into consideration. The simulation has been carried out for 4 years in consideration of the increase in annual load size. |
