Improved Flower Pollination Algorithm-based Optimal Placement and Sizing of DG for Practical Indian 52 Bus System

Nowadays, fossil fuel exhaustion is one of the significant environmental issues. Hence, the existing power system of Renewable Distributed Generations (RDG) is used to overcome this issue. The proper planning must be implemented to allocate the separate sources in the network of distribution areas. This paper proposed an optimal placement and sizing of Distributed Generation (DG) with an improved flower pollination algorithm (IFPA). This paper aims to find the optimal location and sizing of the Distributed Generations (DG). The objective of power loss minimization is considered with some constraints like power balance equations, voltage limits, DG sizing limits, and thermal limits are being done in this research. This proposed technique is evaluated on the practical Indian 52 bus system. The results of the optimal Distributed Generation location and sizing are obtained with the help of IFPA. Therefore, the percentage of loss reduction through IFPA is comparatively higher than the FPA and the chaotic FPA.