Abstract
The Particle Swarm Optimization (PSO) approach is applied in this study to determine the optimal size/generation profile and location of DG that can be integrated into the distribution system to achieve the lowest level of power loss and voltage profile enhancement with the use of different types of DG. This method took under consideration the effect of yearly load profiles and ranging injected power profiles of the substation on the distribution network’s minimum power loss and DG estimates. The optimal size of DG is estimated at each bus using the sample loss formula in the first section, and the optimal position of DG is found using the PSO technique in the second segment. The analytical expression is predicated on the formula for device failure. The loss formula is used to see the optimal size of DG for every bus, and therefore the loss sensitivity factor is used to work out the optimal position of DG. The proposed approach is put to the test on an IEEE 33-bus test device, with the results being compared to exhaustive load flows.
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Kumar, D., Kansal, S. (2022). Allocation of Different Types of DG Sources in a Time-Varying Radial Distribution Networks. In: Mallick, P.K., Bhoi, A.K., Barsocchi, P., de Albuquerque, V.H.C. (eds) Cognitive Informatics and Soft Computing. Lecture Notes in Networks and Systems, vol 375. Springer, Singapore. https://doi.org/10.1007/978-981-16-8763-1_5
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