Distributed Generation (DG) plays a vital role in modern power systems to achieve the requirements and satisfaction of end users while transmitting and distributing power from one to another point. It is a small scale generation which is also known as the embedded generation, dispersed generation or the decentralized generation. The optimal allocation of distributed generation (DG) on distributed network plays a crucial role in maximizing the benefits such as reduction of network losses and voltage profile improvement. There are many techniques used for the optimal allocation and sizing of DG in Radial Distribution System (RDS). The paper presented an overview and review the techniques used in some of the most popular methods includes load flow based methods, numerical techniques, intelligent techniques and evolutionary techniques. The evolutionary techniques include various optimization techniques such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) and Ant Colony Optimization and so on. The paper also provides advantages and disadvantages of each method and useful guidelines for the further research in this area.
CITATION STYLE
Niveditha, P., & Sujatha, M. S. (2018). Optimal allocation and sizing of DG in radial distribution system- A review. International Journal of Grid and Distributed Computing. Science and Engineering Research Support Society. https://doi.org/10.14257/ijgdc.2018.11.6.05
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