TY - GEN
T1 - A simulation model for strategic planning in asset management of electricity distribution network
AU - Suryani, Erma
AU - Hendrawan, Rully Agus
AU - Faster, Eka Adipraja Philip
AU - Dewi, Lily Puspa
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2015.
PY - 2015
Y1 - 2015
N2 - Asset management of electricity distribution network is required in order to improve the network reliability so as to reduce electricity energy distribution losses. Due to strategic asset management requires long-term predictions; it would require a simulation model. Simulation of asset management is an approach to predict the consequences of long-term financing on maintenance and renewal strategies in electrical energy distribution networks. In this research, the simulation method used is System Dynamics based on consideration that this method enables us to consider internal and external influenced factors. To obtain the model parameter, we utilized PLN Pamekasan for the case study. The results showed the reduction of low voltage network assets condition on average in the range 6% per year, the average decline in the transformer condition is approximately 6.6% per year, and the average decline in the condition of medium voltage network assets is approximately 4.4% per year. In general, the average technical losses average of 1,359,981.60 KWH/month or about 16,319,779.24 KWH/year.
AB - Asset management of electricity distribution network is required in order to improve the network reliability so as to reduce electricity energy distribution losses. Due to strategic asset management requires long-term predictions; it would require a simulation model. Simulation of asset management is an approach to predict the consequences of long-term financing on maintenance and renewal strategies in electrical energy distribution networks. In this research, the simulation method used is System Dynamics based on consideration that this method enables us to consider internal and external influenced factors. To obtain the model parameter, we utilized PLN Pamekasan for the case study. The results showed the reduction of low voltage network assets condition on average in the range 6% per year, the average decline in the transformer condition is approximately 6.6% per year, and the average decline in the condition of medium voltage network assets is approximately 4.4% per year. In general, the average technical losses average of 1,359,981.60 KWH/month or about 16,319,779.24 KWH/year.
UR - http://www.scopus.com/inward/record.url?scp=84930443853&partnerID=8YFLogxK
U2 - 10.1007/978-3-662-46742-8_44
DO - 10.1007/978-3-662-46742-8_44
M3 - Conference contribution
AN - SCOPUS:84930443853
T3 - Communications in Computer and Information Science
SP - 481
EP - 492
BT - Intelligence in the Era of Big Data - 4th International Conference on Soft Computing, Intelligent Systems and Information Technology, ICSIIT 2015, Proceedings
A2 - Chi, Chi-Hung
A2 - Intan, Rolly
A2 - Palit, Henry N.
A2 - Santoso, Leo Willyanto
PB - Springer Verlag
T2 - 4th International Conference on Soft Computing, Intelligent Systems and Information Technology, ICSIIT 2015
Y2 - 11 March 2015 through 14 March 2015
ER -