4.6 Article

Optimal siting and sizing of hybrid PV and wind energy distribution network

期刊

SOFT COMPUTING
卷 26, 期 11, 页码 5335-5346

出版社

SPRINGER
DOI: 10.1007/s00500-022-06911-5

关键词

Battery energy storage system; Hybrid energy sources; Distribution network; Genetic algorithm; Particle swarm optimization

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This paper proposes an approach to appropriately place and size a battery energy storage system in a distribution network with hybrid energy sources to mitigate the impact of HES variations on power generation reliability and quality. By considering the daily cost incurred by the distribution network due to voltage deviation, power losses, and peak demands, the ideal location and size of the BESS are determined.
To mitigate the impact of HES variations on power generation reliability and quality, this paper proposes an appropriate placement and sizing of the battery energy storage system (BESS) in distribution networks with hybrid energy sources (HES) of distribution network operators (DNO). The daily cost incurred by the distribution network as a result of voltage deviation, power losses, and peak demands is taken into consideration while determining the ideal location and size of the BESS. IEEE 33-bus distribution network is used to test and evaluate the simulation findings of the BESS installation in the field. For this optimization problem, the genetic algorithm (GA) and particle swarm optimization (PSO) are used to solve it, and the results achieved from these two techniques are compared. When comparing the results of the BESS installation in the distribution network to the results of the case without BESS installation, the voltage variation, power losses, and peak demands are all lower than in the case with BESS installation.

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