부산대학교 도서관

In recent decades, distributed generation (DG), more specifically renewable ones, has been widely used in power distribution systems due to different reasons. Photovoltaic (PV) systems are one of the practical resources that can be utilized in different sizes. However, from the peaks shaving standpoint, they could not be lonely effective. In this paper, the impact of the joint implementation of PV and battery systems in long-term planning is considered. These systems are conducted to reduce the total peak of the network which can cause postponement in the requirement of system upgrading. To reach this aim, firstly a sensitivity analyses is performed to determine the required load reduction. Then, through particle swarm optimization (PSO) the best site and size of PV-battery systems are determined. In order to catch the uncertainty of solar irradiance and the load of system, a k-means data crusting method is employed. The proposed method is verified via a real 104-bus test system. Obtained results demonstrate how PV-battery systems can affect on long-term planning by deferring the need of system to upgrade instruments.