Kerdphol, Thongchart and Tripathi, Ravi N. and Hanamoto, Tsuyoshi and Khairudin, Khairudin and Qudaih, Yaser and Mitani, Yasunori (2015) ANN based optimized battery energy storage system size and loss analysis for distributed energy storage location in PV-microgrid. In: Innovative Smart Grid Technologies - Asia (ISGT ASIA), 2015 IEEE, Thailand.


Download (700kB) | Preview
Official URL:


This paper proposes a method to determine the optimum Battery Energy Storage System (BESS) size, considering how the location of BESS affects the micro-grid and analysis of power loss for the consideration of different locations of BESS. The possibility of installing an optimum BESS as the distributed BESS at different locations is proposed. Artificial neural network (ANN) was established to evaluate the optimum size of BESS based on frequency and voltage regulation. To investigate and improve system performance, a BESS installation is considered as the distributed BESS at different locations. Then, power compensation to local loads is analyzed to obtain the improvement for entire system performance. Results show that the proposed ANN can achieve the very good performance in predicting the optimum size of BESS compared to the measured targets. In terms of BESS location, the optimum BESS size located at local loads shows better performance than the optimum BESS size located at a main substation.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Fakultas Teknik (FT) > Prodi Teknik Elektro
Depositing User: DR. Khairudin KHAIRUDIN
Date Deposited: 18 Apr 2017 03:27
Last Modified: 16 Nov 2017 06:59

Actions (login required)

View Item View Item