Investment analysis for optimal planning of electric vehicle charging station on a reconfigured unbalanced radial distribution system

Reddy, M. Satish Kumar; Selvajyothi, K.

doi:10.1007/s00202-021-01404-4

Cited by 13 publications

(4 citation statements)

References 28 publications

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“…Publications focus on maximizing the NPV during the project’s life cycle for optimal battery charging or swap station planning. The objective is to assess the project’s cost–benefit analysis and ensure a positive return on investment 107 , 115 , 116 .…”

Section: Previous Fcss Studiesmentioning

confidence: 99%

“…In some publications, the minimization of installation and operation costs is considered an objective function. The optimization models aim to specify the optimal location and sizing of DGs, EV charging systems, and other charging infrastructure while considering factors such as investment costs, maintenance costs, and additional conductors required for system reconfiguration 100 , 116 .…”

Section: Previous Fcss Studiesmentioning

confidence: 99%

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Strategies and sustainability in fast charging station deployment for electric vehicles

Mohammed,

Saif,

Abo-Adma

et al. 2024

Sci Rep

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This comprehensive review investigates the growing adoption of electric vehicles (EVs) as a practical solution for environmental concerns associated with fossil fuel usage in mobility. The increasing demand for EVs underscores the critical importance of establishing efficient, fast-charging infrastructure, especially from the standpoint of the electrical power grid. The review systematically examines the planning strategies and considerations for deploying electric vehicle fast charging stations. It emphasizes their unique dual role as loads and storage units, intricately linked to diverse road and user constraints. Furthermore, the review underscores the significant opportunity surrounding these stations for the integration of distributed renewable energy sources. It thoroughly explores the challenges and opportunities intrinsic to the planning and localization process, providing insights into the complexities associated with these multifaceted stations. Renewable resources, including wind and solar energy, are investigated for their potential in powering these charging stations, with a simultaneous exploration of energy storage systems to minimize environmental impact and boost sustainability. In addition to analyzing planning approaches, the review evaluates existing simulation models and optimization tools employed in designing and operating fast charging stations. The review consolidates key findings and offers recommendations to researchers and grid authorities, addressing critical research gaps arising from the escalating demand for electric vehicle fast-charging infrastructure. This synthesis is a valuable resource for advancing understanding and implementing robust strategies in integrating EVs with the electrical power grid.

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Section: Previous Fcss Studiesmentioning

confidence: 99%

Section: Previous Fcss Studiesmentioning

confidence: 99%

Strategies and sustainability in fast charging station deployment for electric vehicles

Mohammed,

Saif,

Abo-Adma

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Many researchers have attempted to improve the performance of distribution feeders using optimal network reconfiguration (ONR) [4][5][6], optimal allocation of distribution generation (OADG) [7][8][9][10][11][12] and optimal allocation of charging stations (OACS) [13][14][15][16][17]. Other studies have focused on simultaneous approaches using (i) ONR and OADG [18][19][20] ONR and OACS [21][22][23], and (iii) OADG and OACS [24][25][26] respectively. In [4], simultaneous OADG and OACS problem is solved by focusing loss reduction and voltage stability enhancement.…”

Section: Introductionmentioning

confidence: 99%

“…This novel optimisation approach was applied in the case study. An investment study for optimal EVCSs planning on a reconfigured imbalanced radial distribution system was conducted in [21]. Their investmentfocused contributions use an unclear optimisation strategy.…”

Section: Introductionmentioning

confidence: 99%

Optimal Location and Sizing of Hybrid Photovoltaic Public Charging Stations in Reconfigurable Feeders Using Levy Flight Honey Badger Algorithm

2024

IJIES

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Rapid electric vehicle (EV) adoption has increased the need for public charging infrastructure. Public charging station (PCS) placement and size must be determined to enable efficient and sustainable charging services. This work proposes a novel method for optimal design and allocation of hybrid photovoltaic systems (HPVs) and PCSs in reconfigurable feeders. A novel LFHBA combines the strengths of the levy flight (LF) exploration technique and the honey badger algorithm (HBA) to solve the multi-objective function focused on distribution loss reduction, improve voltage profiles, and improve reliability index. To test the suggested technique, modified IEEE 69-bus distribution feeders are simulated with varied EV load penetrations. LFHBA is compared to basic HBA, butterfly optimization algorithm (BOA), pelican optimization algorithm (POA), pathfinder algorithm (PFA) in computing performance. The comparison analysis shows that LFHBA has lower target values and greater convergence. Reconfigurable feeder topology permits distribution network design changes, improving system dependability and minimizing power losses. In comparison to base case, EV penetration causes to raise the losses by 26.65%, by optimal allocation of PCSs alone causes to reduce the losses by 38.82%, optimal allocation of PVs and ONR causes reduce losses by 92.19%, whereas, simultaneous allocation of PCSs, and HPVs results to reduce losses by 96.47%. This study emphasizes the need of optimizing PCS placement and capacity with HPVs for efficient and sustainable charging services. As shown by its greater performance over other optimization methods, the LFHBA algorithm helps achieve these goals. Reconfigurable feeders and renewable energy sources improve system dependability and power losses, increasing EV charging infrastructure.

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Optimal Integration of Distributed Generators and Electric Vehicle Charging Stations in the Distribution System Using Voltage Stability Index and Political Optimization Algorithm

Dharavat,

Sudabattula,

Golla

2024

Intelligent Systems for Smart Cities

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Investment analysis for optimal planning of electric vehicle charging station on a reconfigured unbalanced radial distribution system

Cited by 13 publications

References 28 publications

Strategies and sustainability in fast charging station deployment for electric vehicles

Strategies and sustainability in fast charging station deployment for electric vehicles

Optimal Location and Sizing of Hybrid Photovoltaic Public Charging Stations in Reconfigurable Feeders Using Levy Flight Honey Badger Algorithm

Optimal Integration of Distributed Generators and Electric Vehicle Charging Stations in the Distribution System Using Voltage Stability Index and Political Optimization Algorithm

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