2011 IEEE Power and Energy Society General Meeting 2011
DOI: 10.1109/pes.2011.6039671
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Development of PSO based control algorithms for maximizing wind energy penetration

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Cited by 5 publications
(4 citation statements)
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“…Total active power loss is 13.597 MW. Wind farm consisting of 300 wind turbines and 600 MVA/69 kV capacity has been connected to bus 3 as identified using wind farm placement index [13]. Maximum penetration of wind power can be achieved by connecting wind turbine generator at bus 3.…”
Section: A System Descriptionmentioning
confidence: 99%
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“…Total active power loss is 13.597 MW. Wind farm consisting of 300 wind turbines and 600 MVA/69 kV capacity has been connected to bus 3 as identified using wind farm placement index [13]. Maximum penetration of wind power can be achieved by connecting wind turbine generator at bus 3.…”
Section: A System Descriptionmentioning
confidence: 99%
“…Hence in the case of IEEE 14 bus, bus no.s 5, 7, 9, 10, 11, 12, 13 and 14 are suitable for DG placement. For Kerala Grid System, the locations suitable for fuel cell placement considered are bus no.s 2, 6,7,10,13,14,16,17,19,23,24, and 25.…”
Section: A System Descriptionmentioning
confidence: 99%
“…A number of studies have been carried out to identify maximum allowable wind penetration level in an existing power grid [15][16][17][18][19][20][21]. H. Ahmedi et al [15] determined the maximum admissible wind energy penetration level based on evaluation of frequency security constraints and transient stability limits, whereas voltage stability-based analysis using system capacity calculations are utilized for evaluating maximum wind penetration level in [16,17].…”
Section: Introductionmentioning
confidence: 99%
“…H. Ahmedi et al [15] determined the maximum admissible wind energy penetration level based on evaluation of frequency security constraints and transient stability limits, whereas voltage stability-based analysis using system capacity calculations are utilized for evaluating maximum wind penetration level in [16,17]. A Particle Swarm Optimization-based control algorithm is proposed in [18] for maximizing wind energy penetration level and [19] presents a method for effective wind farm sizing in a weak power grid using modal analysis. To assess maximum wind penetration level using available information of the corresponding power generation system, an integrated numerical algorithm is developed and presented in [20].…”
Section: Introductionmentioning
confidence: 99%