TY - GEN
T1 - Economic Dispatch of DC Microgrids under Real-Time Pricing Using Adaptive Differential Evolution Algorithm
AU - Qian, Xiaoyan
AU - Yang, Yun
AU - Li, Chendan
AU - Tan, Siew Chong
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/29
Y1 - 2020/11/29
N2 - This paper presents an adaptive Differential Evolution (ADE) algorithm to minimize the operating cost of DC microgrids via the optimization of the virtual resistances of the droop control for grid-connected converters. The total operating cost of DC microgrids include the running cost of utility grids, renewable energy sources (RES), energy storage systems (ESS), fuel cells, and the power losses on the distribution lines. The performances of the proposed strategy are evaluated in simulation on the case studies of a 12-bus 380 V DC microgrid using Matlab. The results validate that the ADE can significantly reduce the total operating cost of the DC microgrid and that it outperforms the Genetic Algorithm (GA) in terms of cost saving.
AB - This paper presents an adaptive Differential Evolution (ADE) algorithm to minimize the operating cost of DC microgrids via the optimization of the virtual resistances of the droop control for grid-connected converters. The total operating cost of DC microgrids include the running cost of utility grids, renewable energy sources (RES), energy storage systems (ESS), fuel cells, and the power losses on the distribution lines. The performances of the proposed strategy are evaluated in simulation on the case studies of a 12-bus 380 V DC microgrid using Matlab. The results validate that the ADE can significantly reduce the total operating cost of the DC microgrid and that it outperforms the Genetic Algorithm (GA) in terms of cost saving.
KW - Adaptive Differential Evolution (ADE)
KW - DC microgrid
KW - operating cost
KW - virtual resistance
UR - http://www.scopus.com/inward/record.url?scp=85103184526&partnerID=8YFLogxK
U2 - 10.1109/IPEMC-ECCEAsia48364.2020.9367880
DO - 10.1109/IPEMC-ECCEAsia48364.2020.9367880
M3 - Conference article published in proceeding or book
AN - SCOPUS:85103184526
T3 - 2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
SP - 1114
EP - 1120
BT - 2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
Y2 - 29 November 2020 through 2 December 2020
ER -