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Wisan Teeraranggoon. Power flow losses control using distributed generation and DIgSILENT computational analysis combined with BPN. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2024.
Power flow losses control using distributed generation and DIgSILENT computational analysis combined with BPN
Name: Songkran Kantawong
Organization :
Bangkok University. Faculty of Engineering
Email :
songkran.k@bu.ac.th
Name: Wisan Teeraranggoon
Organization :
Bangkok University. Faculty of Engineering
keyword:
Power losses (Electricity)
LCSH:
Electric power systems
-- Management
Abstract:
This paper presents the power flow losses control
using distributed generation (DG) and DIgSILENT
computational analysis combine with back propagation neural
network (BPN). The Chainat province was chosen to research as
a case study because of it was located in the central area of
Thailand with the main Phaholyothin road that can be served for
the growth of agricultural industry, a large distribution center,
renewable energy power plant and electric vehicles (EV) battery
stations in future. One of the main hot topics trend for the power
energy consumption is the clean energy of power electricity,
especially for EV load that may be caused the problems of power
network ability limited such as power qualities or voltage
stabilities due to the battery charger stations and its supporters
usage. These problems are more convince than the normally of
power flow control methods because it can be collected the losses,
mistake patterns of current-voltage conditions or abnormal of
electrically enough that may have a blow out or blackout cause
by the power trip of power transmission line and including with
power plants. Increased DG is one of the most used to solve this
problem that caused changes the power quality in distribution
network management paradigm. But whenever DG is
increasingly represented in electrical distribution network it
could have the impact influence effects to the electrical power
system if misjudging DG as good enough. The influence of DG
impact in observed distribution system needs to be properly
evaluated and rated, so the DIgSILENT Power Factory will solve
this problem with its powerful of power flow analysis while the
BPN will implement the all of system again. Finally, an
experimental and simulation results are show that this proposed
technique has good feasibility and effectiveness enough to solve
the power flow losses control problems in a case study area.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2024
Modified:
2025-08-20
Issued:
2025-08-20
บทความ/Article
application/pdf
BibliograpyCitation :
In Electrical Engineering Academic Association (Thailand) and Rajamangala University of Technology Isan Khon Kaen Campus. Faculty of Engineering. The 2022 International Electrical Engineering Congress (iEECON 2022) (P01029). Khon Kaen : Rajamangala University of Technology Isan, 2022
eng
©copyrights King Mongkut's University of Technology North Bangkok
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| Title | Contributor | Type |
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| Power flow losses control using distributed generation and DIgSILENT computational analysis combined with BPN
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Songkran Kantawong;Wisan Teeraranggoon | บทความ/Article |