Optimum Arrangement of Various Renewable Energy - Integrated Distribution Generation Systems

Abstract

Fossil fuel is the conventional source of energy. However, it is exhaustible and from multiple studies, it is well known about the ramifications they have on our environment. Therefore, incorporating renewable energy via Renewable Energy based Distributed Generation (RDG) is a topic which piques interest to ensure the most effective working of modern power networks. However, since renewable energy sources like sunlight and wind is neither continuous nor steady, getting the RDG units' optimal placement and size is a crucial task. On a further note, for agro-based countries or countries containing plenty of livestock, incorporating biogas units will also contribute to ensuring efficient generation of electricity. In this study, a novel method to find out the optimal allocation and sizing of RDG units has been proposed using latest optimization algorithms like the Pelican Optimizer Algorithm (POA) and the Dandelion Optimizer (DA), taking into account multi objective operational constraints like ensuring minimum voltage deviation and power loss. The IEEE-33-bus and IEEE-69-bus systems were used as test systems. It was also seen that the algorithms gave better results when compared to widely used algorithm like the Particle Swarm Optimization (PSO) and Equilibrium Optimizer in cases where RDG units were introduced in the test systems, instead of no RDG present. After running the optimization algorithms in the proposed models, it was observed that DA performed best for IEEE 69 bus system. Whereas, the POA was the better performing in case of IEEE 33 bus system. But both POA and DA outperform the previously used Particle Swarm Optimization (PSO) and Equilibrium Optimizer (EO). It can be said that the performance of the two proposed algorithms depend on the nature of the distribution system used.