Abstract
The high penetration of photovoltaic (PV) generation can cause many technical issues such as power quality and impact on the power system voltage stability. To improve voltage stability and reducing power loss in a power system with PV generators, appropriate planning of PV generators is considered by optimal placement of PV. Thus, an effective heuristic optimization technique such as the Wind Driven Optimization (WDO) technique is applied for determining optimal location of PV generators in a power system. For determining the optimal location of PV, the objective function considers maximizing the Improved Voltage Stability Index. The proposed method for optimal location of PV generators is implemented on the IEEE 118 and 30 bus transmission systems and the 69-radial distribution system. The optimization results show that integrating PV into the test systems improves voltage stability in the system. Comparing the performance of the WDO with the particle swarm optimization technique, it is shown that the WDO technique gives faster convergence.
Original language | English |
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Pages (from-to) | 339-346 |
Number of pages | 8 |
Journal | Indonesian Journal of Electrical Engineering and Computer Science |
Volume | 13 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 2019 |
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Keywords
- Optimal location
- Photovoltaic generation
- Wind driven optimization
ASJC Scopus subject areas
- Signal Processing
- Information Systems
- Hardware and Architecture
- Computer Networks and Communications
- Control and Optimization
- Electrical and Electronic Engineering
Cite this
Optimal placement of grid-connected photovoltaic generators in a power system for voltage stability enhancement. / Kamaruzzaman, Zetty Adibah; Mohamed, Azah; Mohamed, Ramizi.
In: Indonesian Journal of Electrical Engineering and Computer Science, Vol. 13, No. 1, 01.01.2019, p. 339-346.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Optimal placement of grid-connected photovoltaic generators in a power system for voltage stability enhancement
AU - Kamaruzzaman, Zetty Adibah
AU - Mohamed, Azah
AU - Mohamed, Ramizi
PY - 2019/1/1
Y1 - 2019/1/1
N2 - The high penetration of photovoltaic (PV) generation can cause many technical issues such as power quality and impact on the power system voltage stability. To improve voltage stability and reducing power loss in a power system with PV generators, appropriate planning of PV generators is considered by optimal placement of PV. Thus, an effective heuristic optimization technique such as the Wind Driven Optimization (WDO) technique is applied for determining optimal location of PV generators in a power system. For determining the optimal location of PV, the objective function considers maximizing the Improved Voltage Stability Index. The proposed method for optimal location of PV generators is implemented on the IEEE 118 and 30 bus transmission systems and the 69-radial distribution system. The optimization results show that integrating PV into the test systems improves voltage stability in the system. Comparing the performance of the WDO with the particle swarm optimization technique, it is shown that the WDO technique gives faster convergence.
AB - The high penetration of photovoltaic (PV) generation can cause many technical issues such as power quality and impact on the power system voltage stability. To improve voltage stability and reducing power loss in a power system with PV generators, appropriate planning of PV generators is considered by optimal placement of PV. Thus, an effective heuristic optimization technique such as the Wind Driven Optimization (WDO) technique is applied for determining optimal location of PV generators in a power system. For determining the optimal location of PV, the objective function considers maximizing the Improved Voltage Stability Index. The proposed method for optimal location of PV generators is implemented on the IEEE 118 and 30 bus transmission systems and the 69-radial distribution system. The optimization results show that integrating PV into the test systems improves voltage stability in the system. Comparing the performance of the WDO with the particle swarm optimization technique, it is shown that the WDO technique gives faster convergence.
KW - Optimal location
KW - Photovoltaic generation
KW - Wind driven optimization
UR - http://www.scopus.com/inward/record.url?scp=85059168417&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85059168417&partnerID=8YFLogxK
U2 - 10.11591/ijeecs.v13.i1.pp339-346
DO - 10.11591/ijeecs.v13.i1.pp339-346
M3 - Article
AN - SCOPUS:85059168417
VL - 13
SP - 339
EP - 346
JO - Indonesian Journal of Electrical Engineering and Computer Science
JF - Indonesian Journal of Electrical Engineering and Computer Science
SN - 2502-4752
IS - 1
ER -