Distribution System Annual Cost Minimization Using Clean Type Technologies

One of the basic obstacles in the deployment of clean technologies such as wind turbines or PV modules is their intermittent nature due to dependency on the wind speed and solar radiance. In fact, the authors in this paper aim to investigate the effect of clean technologies such as wind turbines and PV modules on the total and individual costs of the distribution system. In order to model the uncertain nature of clean technologies, we have proposed a probabilistic method in this study. So, a DG planning problem based on the hourly variations in wind speed and solar radiance is suggested to reduce the total cost of the distribution system. The hourly variations of the load like the hourly variations in wind speed and solar radiance is considered in this study. Also, all of the defined economic, technical and environmental functions are turned into cost functions. An encouraging and punishment mechanism is defined in addition to the other cost functions. The planning problem is formulated as mixed integer nonlinear programming problem (MINLP). The proposed method is applied on the 9-bus distribution system and the results show a significant reduction in annual costs of the distribution system using the DG units.