Optimization of UPFC location and capacity to improve the stability using ABC and GSA algorithm

Kumar, B. Vijay; Kumar, Manoj; Srikanth, N. V.; Sekhar, Y. Chandra

doi:10.1109/peci.2015.7064892

Cited by 2 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results achieved with the GSA seemed to be much more enhanced as compared to the GA and PSO [24]. Kumar et al in their research found the performance of the GSA to be better than the ABC algorithm when the GSA was implemented to achieve the optimal location of a unified power flow controller (UPFC) taking into account the improvement in stability limits [25]. In [26] the GSA performed better than PSO and GA for the optimal strategic bidding method adopted by generating companies.…”

Section: Literature Surveymentioning

confidence: 99%

See 1 more Smart Citation

Optimal rescheduling of real power to mitigate congestion using gravitationalsearch algorithm

Paul¹,

Kumar²,

Agrawal³

et al. 2019

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

The initiative to manage congestion has gained interest in the current deregulated scenario. The principle commitment of the work in this article is to extend the gravitational search algorithm (GSA) as an efficient metaheuristic optimizing algorithm to diminish the rescheduling cost and efficiently attenuate the overloading of the line with the minimal deviation in the active power generation. The congestion management drive is accomplished by prioritizing the generators based on their sensitivity values. Thereafter, the GSA is introduced to optimally minimize the rescheduling cost along with the minimization of the total amount of active power output and system losses. The potency of the proposed method is tested on the 39-bus New England System and the IEEE 30-bus system and 118-bus system, and the outcomes achieved with the GSA outperform the results reported with other algorithms.

show abstract

Section: Literature Surveymentioning

confidence: 99%

“…Better [20][21][22][23][24][25][26][27] Good [16] Good [20] Good [18] Good [17]…”

Section: Gsamentioning

confidence: 99%

Optimal rescheduling of real power to mitigate congestion using gravitationalsearch algorithm

Paul¹,

Kumar²,

Agrawal³

et al. 2019

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

show abstract

Power Flow Control of Interconnected AC–DC Microgrids in Grid-Connected Hybrid Microgrids Using Modified UIPC

Zolfaghari

Abedi

Gharehpetian

2019

IEEE Trans. Smart Grid

View full text Add to dashboard Cite

Optimization of UPFC location and capacity to improve the stability using ABC and GSA algorithm

Cited by 2 publications

References 20 publications

Optimal rescheduling of real power to mitigate congestion using gravitationalsearch algorithm

Optimal rescheduling of real power to mitigate congestion using gravitationalsearch algorithm

Power Flow Control of Interconnected AC–DC Microgrids in Grid-Connected Hybrid Microgrids Using Modified UIPC

Contact Info

Product

Resources

About