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Optimization of locations determination of distributed generation using Hybrid Flower Pollination Algorithm and β-Hill Climbing methods
Ramadhan M.S.
Aip Conference Proceedings
Abstract
This study aims to define the optimum location and size of distributed generation (DG) using the Hybrid Flower Pollination Algorithm (FPA) and β-Hill Climbing (βHC) or HyFPAβHC methods with objectives to minimize power losses and increase the voltage profile of the system. The main purpose of hybridizing the Flower Pollination Algorithm (FPA) and β-Hill Climbing (βHC) methods is to improve the balance between exploration and exploitation through the search process. This research was conducted with the IEEE 33 bus distribution system. From optimization research, it was found that the optimization of DG placement and capacity using the HyFPAβHC method with the number of DG as many as 3 units are proven to reduce active power losses by 141 kW or by 67% as well as increase the voltage profile on the system becomes 0.972 pu. This study also evaluated the effectiveness of the HyFPAβHC method when placing DG by comparing the value of power losses using the FPA and βHC methods as a comparison method.