The main objective of the power system planner is to provide dependable and cost-effective power supply to the customer. Due to the advancement in the technology, power system structure has been remodeled which in turn attracts the more number of participants to participate in the electricity market. Increase in market participant increases the utilization level in the distribution side of the power system. One among the technical challenges facing due to the increase in the load level is maintaining the power balance of the power system with respect to the load variations. In recent years, the inclusion of distributed generations (DGs) efficiently resolves the above power shortage problem. Incorporating the DG sources in the power system network helps to improve the aspects such as power quality, bus voltage profiles and voltage stability of the system. It also has the characteristics of economic and reliable power supply to customers. The extent of these benefits depends on how the DG is placed and sized in a system. Improper allocation of DG sources in power system would not only lead to increase power or energy losses, but also can endanger the system operation. In this paper, a multi-objective optimization problem for improving the voltage profile and voltage stability index has been solved by optimal placing and sizing of DG in standard 33 bus and 69 bus radial distribution systems with three tools such as Genetic Algorithm(GA), Particle Swarm Optimization(PSO) and Flower Pollination Algorithm(FPA). The comparison results are recorded.
Distribution system, Distributed Generation (DG), Voltage profile, Voltage stability index, GA, PSO and FPA
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