TY - JOUR
T1 - A Novel Retrospect-Inspired Regime for Microgrid Real-Time Energy Scheduling with Heterogeneous Sources
AU - Jia, Youwei
AU - Lyu, Xue
AU - Xie, Peng
AU - Xu, Zhao
AU - Chen, Minghua
N1 - Funding Information:
This work was supported in part by the Natural Science Foundation of Guangdong under Grant 2019A1515111173, in part by Young Talent Program (Department of Education of Guangdong) under Grant 2018KQNCX223, in part by the High-level University Fund under Grant G02236002, in part by the Start up Grant from City University of Hong Kong under Grant 9380118, and in part by Natural Science Foundation of China under Grant 71971183. Paper no. TSG-01595-2019.
Funding Information:
Manuscript received October 23, 2019; revised March 17, 2020; accepted May 24, 2020. Date of publication June 1, 2020; date of current version October 21, 2020. This work was supported in part by the Natural Science Foundation of Guangdong under Grant 2019A1515111173, in part by Young Talent Program (Department of Education of Guangdong) under Grant 2018KQNCX223, in part by the High-level University Fund under Grant G02236002, in part by the Start up Grant from City University of Hong Kong under Grant 9380118, and in part by Natural Science Foundation of China under Grant 71971183. Paper no. TSG-01595-2019. (Corresponding author: Youwei Jia.) Youwei Jia is with the Department of Electrical and Electronic Engineering, University Key Laboratory of Advanced Wireless Communication of Guangdong Province, Southern University of Science and Technology, Shenzhen 518055, China, and Shenzhen Key Laboratory of Electrical Direct Drive Technology, Southern University of Science and Technology, Shenzhen 518055, China (e-mail: [email protected]).
Publisher Copyright:
© 2010-2012 IEEE.
PY - 2020/11
Y1 - 2020/11
N2 - High renewables embedded microgrid is an emerging paradigm of distributed power systems, which can locally digest intermittent generation and load demand. Due to less aggregation effect, the uncertainty issues associated with renewables and load become much more evident in small-scale microgrids, which make the energy scheduling issue even more challenging to be resolved. In this field, there generally exist two obstacles to convert the scheduling approaches into practice, which are 1) overly assumed renewable forecasting accuracy and 2) lack of effective platforms for field testing. In this paper, we firstly propose a retroactive scheduling regime in handling heterogeneous schedulable sources in small-scale microgrids, of which the decision-makings can be robust to future uncertainties. To verify the effectiveness of the proposed regime, mathematical proofs are rigorously provided for its algorithmic mechanism and performance guarantee. We then contribute a platform design to facilitate power hardware-in-the-loop experiments in a generic architecture. Experimental results demonstrate the effectiveness of the proposed regime, which suggest a high potential of its practical application.
AB - High renewables embedded microgrid is an emerging paradigm of distributed power systems, which can locally digest intermittent generation and load demand. Due to less aggregation effect, the uncertainty issues associated with renewables and load become much more evident in small-scale microgrids, which make the energy scheduling issue even more challenging to be resolved. In this field, there generally exist two obstacles to convert the scheduling approaches into practice, which are 1) overly assumed renewable forecasting accuracy and 2) lack of effective platforms for field testing. In this paper, we firstly propose a retroactive scheduling regime in handling heterogeneous schedulable sources in small-scale microgrids, of which the decision-makings can be robust to future uncertainties. To verify the effectiveness of the proposed regime, mathematical proofs are rigorously provided for its algorithmic mechanism and performance guarantee. We then contribute a platform design to facilitate power hardware-in-the-loop experiments in a generic architecture. Experimental results demonstrate the effectiveness of the proposed regime, which suggest a high potential of its practical application.
KW - Hardware-in-the-loop
KW - microgrid
KW - real-time energy scheduling
KW - renewable energy
KW - uncertainty
UR - http://www.scopus.com/inward/record.url?scp=85094864178&partnerID=8YFLogxK
U2 - 10.1109/TSG.2020.2999383
DO - 10.1109/TSG.2020.2999383
M3 - Journal article
AN - SCOPUS:85094864178
SN - 1949-3053
VL - 11
SP - 4614
EP - 4625
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
IS - 6
M1 - 9105046
ER -