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Optimal Allocation and Sizing of Distributed Generation using Particle Swarm Optimization considering Photovoltaic Fluctuation
The conventional distribution system is having problem in the power loss due to lengthy distance from the generation site to the consumer. The long distance between the generation to the consumer making the power loss becomes high. The Distributed Generation (DG) by using Photovoltaic (PV) is one of the solutions that gave not only the reduction in power losses, but also improving the voltage profile of the system. It is important to ensure that the placement and sizing of DG are optimum so that the stated benefits can be achieved. However, by using any kind of renewable energy resources as source of the energy will have its own uncertainty. The uncertainty such as the output fluctuation produced by the renewable energy resources due to weather condition, season and the geographic location of the source. Consideration of the uncertainty is crucial so that the optimization of DG is more accurate. In this study, the allocation and sizing of the DG are optimized using Particle Swarm Optimization. The consideration of the PV output uncertainty is performed by using probabilistic approach. This approach modeled the solar irradiance probability using Beta probability density function. The study is tested on the IEEE-33-Bus radial distribution system. The result shows the consideration of PV output uncertainty provides DG sizes and locations that can be applied in practical situation.

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Contact sv: Dr. Madihah Md Rasid
Power Eng. Department
Faculty of Electrical Engineering
Universiti Teknologi Malaysia
Johor Bahru, Malaysia.
[email protected]