Transmission Line Switching For Loss Reduction And Reliability Improvement

Yadav, Atul Kumar; Mahajan, Vasundhara

doi:10.1109/icoiact46704.2019.8938535

Cited by 3 publications

(1 citation statement)

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“…In [13], an approach for optimisation of surveillance test interval of standby equipment with highly uncertain aging parameters, based on genetic algorithm technique and probabilistic safety assessment, is presented. Reduction in transmission line losses and improvement in reliability with the transient and permanent outage of lines in the transmission system is described in [14]. In [15], a multiobjective optimisation technique to estimate the optimal size of wind power plants required to fulfill the varying load demand of different districts in the state of Madhya Pradesh, India, is proposed.…”

Section: Literature Surveymentioning

confidence: 99%

Remedial Action Scheme for Wind Power Injection With Minimum Transmission Line Loss, 1-10.

Rao,

Kundu

2024

International Journal of Power and Energy Systems

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The rise in power demands and concern over climate change is leading to increased penetration of wind energy into the grid. However, the transmission network infrastructure is not equipped for such a transition. Transmission lines are responsible for the transfer of electric power from generating stations to load centres and consumers. In this process, the lines incur losses which affect the quality of power. Also, it has an economic impact on the utilities. Therefore, such losses must be minimised so that the power quality can be improved and economic losses are less. With the increase in the percentage of wind energy integration in the grid, the transmission line losses are increasing. To address this problem, a remedial action scheme (RAS) has been proposed for increasing wind energy penetration in the grid with minimum transmission line losses. To achieve this, the proposed method uses a multiobjective optimisation problem which is solved using the genetic algorithm. For varying transmission line losses, the multi-objective optimisation problem determines the optimal generation from each wind generator. The proposed RAS is tested for the New England 39-bus network and the results highlight the performance of the method to maximise the wind power injection.

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Section: Literature Surveymentioning

confidence: 99%