TY - GEN
T1 - Optimal placement and sizing of distributed generation in radial distribution system using K-means clustering method
AU - Penangsang, Ontoseno
AU - Putra, Dimas Fajar Uman
AU - Kurniawan, Taufani
N1 - Publisher Copyright:
©/2017/IEEE.
PY - 2017/11/28
Y1 - 2017/11/28
N2 - Distributed generations play important role for power quality such as losses reduction, voltage profile and reliability improvement. However on its implementation, to obtain optimal solution installation DG have to be planned properly. Hence, it is important to determine optimal location and size of DG during the planning of active distribution system to achieve minimum losses. This paper proposes the DG placement and sizing technique using K-Means Clustering method. Clustering based technique is used to determine optimal location of DG based on Loss Sensitivity Factor (LSF) and bus voltage. Once optimal location is obtained then analytical approach is used to determine optimal size of DG. The proposed method is tested on IEEE 33 bus and 69 bus radial distribution system to verify its performance on obtaining optimal DG placement and sizing for losses reduction. The result on IEEE 33 bus system shows that the proposed method obtain 87,5% losses reduction, better than 76,77% loss reduction obtained by LSF priority list method. While result on IEEE 69 bus system shows that the proposed method obtain 69,84% losses reduction, better than 65,95% loss reduction obtained by LSF priority list method.
AB - Distributed generations play important role for power quality such as losses reduction, voltage profile and reliability improvement. However on its implementation, to obtain optimal solution installation DG have to be planned properly. Hence, it is important to determine optimal location and size of DG during the planning of active distribution system to achieve minimum losses. This paper proposes the DG placement and sizing technique using K-Means Clustering method. Clustering based technique is used to determine optimal location of DG based on Loss Sensitivity Factor (LSF) and bus voltage. Once optimal location is obtained then analytical approach is used to determine optimal size of DG. The proposed method is tested on IEEE 33 bus and 69 bus radial distribution system to verify its performance on obtaining optimal DG placement and sizing for losses reduction. The result on IEEE 33 bus system shows that the proposed method obtain 87,5% losses reduction, better than 76,77% loss reduction obtained by LSF priority list method. While result on IEEE 69 bus system shows that the proposed method obtain 69,84% losses reduction, better than 65,95% loss reduction obtained by LSF priority list method.
KW - Distributed generation
KW - K-Means clustering
KW - Losses reduction
KW - Optimal location
KW - Optimal size
KW - Radial distribution system
UR - http://www.scopus.com/inward/record.url?scp=85043494704&partnerID=8YFLogxK
U2 - 10.1109/ISITIA.2017.8124062
DO - 10.1109/ISITIA.2017.8124062
M3 - Conference contribution
AN - SCOPUS:85043494704
T3 - 2017 International Seminar on Intelligent Technology and Its Application: Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding
SP - 98
EP - 103
BT - 2017 International Seminar on Intelligent Technology and Its Application
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th International Seminar on Intelligent Technology and Its Application, ISITIA 2017
Y2 - 28 August 2017 through 29 August 2017
ER -