Optimal placement and sizing of renewable energy generation considering uncertainties using intelligent water drops algorithm

Abstract

With the increased demand for electricity the Distributed Generation (DGs) into distribution network has increased. The efficient operation of the distribution system after the interconnection is highly dependent on optimum location and rating of distributed generation units. The planning of location and integration of Distributed Generation (DG) primarily considers the uncertainty related with its generation. The planning of location and integration of Distributed Generation (DG) primarily considers the uncertainty related with its generation. The period of study is divided into different states with respect to generation of power. With the advancement of power electronic converters DG's can be used for power generation as well as for voltage/current issues. In this paper a probabilistic index is used to measure the voltages in the buses of the distribution network considering the uncertainties. Based on these index different types of DG's like PV array, wind turbine are located to improve voltage profile. After placing DG's in appropriate location sizing is done using Intelligent Water Drops (IWD) algorithm and losses are vigorously reduced. The proposed method is applied to IEEE 30 bus systems and it is implemented in MATLAB.