TY - GEN
T1 - Optimal Sizing of Battery Energy Storage Characteristics in Radial Distribution Network based on Contrasting Investment and Net Present Values Approach
AU - Febranzah, Adam
AU - Miyauchi, Hajime
AU - Putril, Vita Lystianingrum Budiharto
AU - Purnomo, Mauridhi Hery
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/18
Y1 - 2018/9/18
N2 - This paper studies economic evaluation based on net present value (NPV) of the optimal sizing of battery energy storage (BES) to shave peak load in the radial distributed system. A study case in streetlights system is conducted as representing the radial system which drives peak load. Since there are various types of BES characteristics, while each type has different characteristics such as energy density, storage cost, and lifetime, the optimal BES configuration becomes complicated. Due to this complexity, to design a BES system to shave peak load, optimization algorithm, namely Crazy-PSO is utilized. The factors affecting the NPV and BES configuration are investigated such as BES lifetime, BES replacement cost due to run out of the lifetime, investment, saving cost, and quantity of BES configuration. Moreover, this paper's essence is to point out the contrast between BES optimization in investment and NPV objective functions.
AB - This paper studies economic evaluation based on net present value (NPV) of the optimal sizing of battery energy storage (BES) to shave peak load in the radial distributed system. A study case in streetlights system is conducted as representing the radial system which drives peak load. Since there are various types of BES characteristics, while each type has different characteristics such as energy density, storage cost, and lifetime, the optimal BES configuration becomes complicated. Due to this complexity, to design a BES system to shave peak load, optimization algorithm, namely Crazy-PSO is utilized. The factors affecting the NPV and BES configuration are investigated such as BES lifetime, BES replacement cost due to run out of the lifetime, investment, saving cost, and quantity of BES configuration. Moreover, this paper's essence is to point out the contrast between BES optimization in investment and NPV objective functions.
KW - Batteries
KW - energy storage
KW - industrial economics
KW - particle swarm optimization
KW - power systems
UR - http://www.scopus.com/inward/record.url?scp=85055581303&partnerID=8YFLogxK
U2 - 10.1109/ISGT-Asia.2018.8467884
DO - 10.1109/ISGT-Asia.2018.8467884
M3 - Conference contribution
AN - SCOPUS:85055581303
T3 - International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018
SP - 121
EP - 126
BT - International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018
A2 - Hao, Quan
A2 - Sharma, Anurag
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018
Y2 - 22 May 2018 through 25 May 2018
ER -