TY - GEN
T1 - Impact of battery energy storage systems on electromechanical oscillations in power systems
AU - Setiadi, Herlambang
AU - Mithulananthan, N.
AU - Hossain, M. J.
N1 - Funding Information:
The first author is very grateful to the Ministry of Finance of Indonesian Government for the Endowment Fund of Education Scholarship awarded to him during his studies for Doctoral Degree at The University of Queensland, Australia.
Publisher Copyright:
© 2017 IEEE.
PY - 2018/1/29
Y1 - 2018/1/29
N2 - Due to high penetrations of renewable energy systems (RESs), deployment of energy storage is significantly increased in recent years. Among varieties of energy storage options, battery energy storage systems (BESSs) are getting popular as they provide reliable performance with low-inertia RESs. Although BESS smooth out RES energy, they can negatively influence low-frequency oscillations of power systems due to inertia-less characteristics. However, a very scant attention has been paid to understand the BESS impact on low frequency oscillation of power systems. Hence, this paper investigates the impact of BESSs on the low-frequency oscillation. In order to analyse the impact of BESS's control and its dynamic interaction, a single machine infinite bus, popularly known as 'Philip-Heffron model' is used. Eigenvalue, nonlinear time domain simulation and participation factor analyses are used to examine system's behaviours with BESS. From simulation results, it is found that the gain of BESS's controller changes the dynamic behaviour of synchronous machines and optimally tuned gain can enhance system's damping.
AB - Due to high penetrations of renewable energy systems (RESs), deployment of energy storage is significantly increased in recent years. Among varieties of energy storage options, battery energy storage systems (BESSs) are getting popular as they provide reliable performance with low-inertia RESs. Although BESS smooth out RES energy, they can negatively influence low-frequency oscillations of power systems due to inertia-less characteristics. However, a very scant attention has been paid to understand the BESS impact on low frequency oscillation of power systems. Hence, this paper investigates the impact of BESSs on the low-frequency oscillation. In order to analyse the impact of BESS's control and its dynamic interaction, a single machine infinite bus, popularly known as 'Philip-Heffron model' is used. Eigenvalue, nonlinear time domain simulation and participation factor analyses are used to examine system's behaviours with BESS. From simulation results, it is found that the gain of BESS's controller changes the dynamic behaviour of synchronous machines and optimally tuned gain can enhance system's damping.
KW - BESSs
KW - Deferential Evolution Algorithm (DEA)
KW - Eigenvalue
KW - Low Frequency Oscillation
KW - Participation Factor
UR - http://www.scopus.com/inward/record.url?scp=85046378093&partnerID=8YFLogxK
U2 - 10.1109/PESGM.2017.8274052
DO - 10.1109/PESGM.2017.8274052
M3 - Conference contribution
AN - SCOPUS:85046378093
T3 - IEEE Power and Energy Society General Meeting
SP - 1
EP - 5
BT - 2017 IEEE Power and Energy Society General Meeting, PESGM 2017
PB - IEEE Computer Society
T2 - 2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Y2 - 16 July 2017 through 20 July 2017
ER -
