TY - GEN
T1 - Real-time operation optimization of islanded microgrid with battery energy storage system
AU - Lyu, Cheng
AU - Jia, Youwei
AU - Xu, Zhao
AU - Shi, Mengge
N1 - Funding Information:
This work was jointly supported by SUSTech Faculty Startup Funding (No. Y01236135 and No. Y01236235) and Hong Kong RGC Theme-based Research Scheme (No. T23-701/14N)
Publisher Copyright:
© 2020 IEEE.
PY - 2020/8/2
Y1 - 2020/8/2
N2 - In islanded microgrids, rechargeable batteries are widely used as storage systems to complement the power imbalance in real-time. Among others, lithium-ion battery is the most popular owing to its high energy density, low self-discharge and long lifespan features. However, the cycle degradation becomes an unavoidable concern in microgrid economic operation. In this paper, a novel degradation model based on online auction and rainflow cycle counting algorithm is proposed for real-time management of lithium-ion batteries. Based on the proposed model, a mixed integer nonlinear problem is formulated for online operation of the islanded microgrid. To confront with the uncertainties involved in a lookahead window, the formulated problem is tackled by weighted model predictive control(MPC). Monte Carlo simulations covering 365 consecutive days verify the effectiveness of the proposed model and its application in real-time microgrid operation concerning degradation cost.
AB - In islanded microgrids, rechargeable batteries are widely used as storage systems to complement the power imbalance in real-time. Among others, lithium-ion battery is the most popular owing to its high energy density, low self-discharge and long lifespan features. However, the cycle degradation becomes an unavoidable concern in microgrid economic operation. In this paper, a novel degradation model based on online auction and rainflow cycle counting algorithm is proposed for real-time management of lithium-ion batteries. Based on the proposed model, a mixed integer nonlinear problem is formulated for online operation of the islanded microgrid. To confront with the uncertainties involved in a lookahead window, the formulated problem is tackled by weighted model predictive control(MPC). Monte Carlo simulations covering 365 consecutive days verify the effectiveness of the proposed model and its application in real-time microgrid operation concerning degradation cost.
KW - Battery energy storage system
KW - Islanded microgrid
KW - Real-time operation
KW - Weighted model predictive control
UR - http://www.scopus.com/inward/record.url?scp=85099166893&partnerID=8YFLogxK
U2 - 10.1109/PESGM41954.2020.9281664
DO - 10.1109/PESGM41954.2020.9281664
M3 - Conference article published in proceeding or book
AN - SCOPUS:85099166893
T3 - IEEE Power and Energy Society General Meeting
BT - 2020 IEEE Power and Energy Society General Meeting, PESGM 2020
PB - IEEE Computer Society
T2 - 2020 IEEE Power and Energy Society General Meeting, PESGM 2020
Y2 - 2 August 2020 through 6 August 2020
ER -
