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Nitikorn Junhuathon. Optimizing maximum profit for electric vehicle users in a bipolar DC distribution grid with probabilistic EV load demand and V2G integration. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2024.
Optimizing maximum profit for electric vehicle users in a bipolar DC distribution grid with probabilistic EV load demand and V2G integration
Name: Guntinan Sakulphaisan
Organization :
Pathumwan Institute of Technology. Faculty of Science and Technology
Email :
guntinan.s@pit.ac.th
Name: Sirirat Son-in
Organization :
Rajabhat University. Faculty of Engineering and Industrial Technology Bansomdejchaopraya
Email :
sirirat.so@bsru.ac.th
Name: Nitikorn Junhuathon
Organization :
Rajamangala University of Technology. Faculty of Engineering
Email :
nitikorn_j@rmutt.ac.th
LCSH:
Electric vehicles
LCSH:
Storage batteries
LCSH:
Smart power grids
Abstract:
This article delves into the synergistic potential of
integrating Bipolar DC distribution grids, Probabilistic EV load
demand forecasting, and Vehicle-to-Grid (V2G) technology. It
offers a blueprint for electric vehicle (EV) users to smartly improve
their financial results. Through the amalgamation of these
components, individuals who possess electric vehicles have the
potential to mitigate their energy expenditures while concurrently
generating additional income. The study reveals that the integration
of EV into the distribution system can lead to a substantial increase
in daily energy loss, reaching up to 25.91%. However, when V2G
technology is employed within the distribution grid, it has the
remarkable capability to mitigate this increase in daily energy loss
significantly, achieving a reduction of up to 64.12%.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2024
Modified:
2025-02-03
Issued:
2025-02-03
บทความ/Article
application/pdf
BibliograpyCitation :
In Rajamangala University of Technology Krungthep. 12th International Electrical Engineering Congress (iEECON 2024) (pp.568-573). Bangkok : Rajamangala University of Technology Krungthep
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
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0.032514 วินาที
Guntinan Sakulphaisan
| Title | Contributor | Type |
|---|---|---|
| Optimizing maximum profit for electric vehicle users in a bipolar DC distribution grid with probabilistic EV load demand and V2G integration
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Guntinan Sakulphaisan;Sirirat Son-in;Nitikorn Junhuathon | บทความ/Article | |
| Improve a voltage unbalance index of bipolar DC distribution grid by using particle swarm optimization based on load balancing method
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Guntinan Sakulphaisan;Keerati Chayakulkheeree | บทความ/Article | |
| Minimizing power loss in a DC distribution system through an analysis of the loss sensitivity factor and distributed generator loss characteristics
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Guntinan Sakulphaisan;Nitikorn Junhuathon;Keerati Chayakulkheeree | บทความ/Article |
Sirirat Son-in
| Title | Contributor | Type |
|---|---|---|
| Optimizing maximum profit for electric vehicle users in a bipolar DC distribution grid with probabilistic EV load demand and V2G integration
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Guntinan Sakulphaisan;Sirirat Son-in;Nitikorn Junhuathon | บทความ/Article | |
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มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Sirirat Son-in;Issaraporn Amornsawatwattana | บทความ/Article | |
| Analysis of temperature distribution from the comparison egg incubator shape by 3-D finite element method
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Nitikorn Junhuathon