Optimal penetration of distributed generation system in radial distribution network using adaptive scheme

Gill, Amandeep; Singh, Pushpendra

doi:10.1088/1742-6596/1914/1/012027

Cited by 16 publications

(2 citation statements)

References 6 publications

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“…The problems of voltage sag and unbalanced grids are discussed and analyzed by [15]. These challenges are the problems of RES optimization and, in [6,15,16], the authors discussed different integration approaches for renewable energy sources using adaptive schemes, application and architecture development, and implementation with case studies from Western Australia. Proper allocation of RES is essential due to multiple advantages, i.e., minimizing real and reactive power losses, line loading, carbon emission, initial cost, tariff structuring, cost of energy generation, utility cost, and improving the voltage profile of the distribution network.…”

Section: Litterature Reviewmentioning

confidence: 99%

“…Active and Reactive Power losses Active and reactive power losses are calculated by comparing power calculated by the backward sweep method with voltage calculated in two successive iterations through the forward sweep method [25][26][27]. Specify a tolerance limit and, if the voltage difference is within the specified limit, the solution is provided; otherwise, active and reactive power losses are calculated in each branch by (15) and (16). Power losses of branch 'ij' can be analyzed as…”

Section: Backward Sweepmentioning

confidence: 99%

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A Fuzzy-Genetic-Based Integration of Renewable Energy Sources and E-Vehicles

et al. 2022

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E-Vehicles are used for transportation and, with a vehicle-to-grid optimization approach, they may be used for supplying a backup source of energy for renewable energy sources. Renewable energy sources are integrated to maintain the demand of consumers, mitigate the active and reactive power losses, and maintain the voltage profile. Renewable energy sources are not supplied all day and, to meet the peak demand, extra electricity may be supplied through e-Vehicles. E-Vehicles with random integration may cause system unbalancing problems and need a solution. The objective of this paper is to integrate e-Vehicles with the grid as a backup source of energy through the grid-to-vehicle optimization approach by reducing active and reactive power losses and maintaining voltage profile. In this paper, three case studies are discussed: (i) integration of renewable energy sources alone; (ii) integration of e-Vehicles alone; (iii) integration of renewable energy sources and e-Vehicles in hybrid mode. The simulation results show the effectiveness of the integration and the active and reactive power losses are minimum when we used the third case.

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