TY - GEN
T1 - Economic Dispatch of Microgrid with Multiple Energy Storages Based on Affine Decision Rules
AU - Han, Zhihan
AU - Zhai, Qiaozhu
AU - Zhou, Yuzhou
AU - Ji, Xiaojie
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper investigates the optimal economic dispatch of microgrid and establishes an efficient scheduling model for microgrid with multiple energy storage devices considering nonanticipativity and all-scenario-feasibility. Nonanticipativity and all-scenario-feasibility require the scheduling decisions could couple any realization scenarios within the uncertainty set, which represents infinite constraints essentially. To deal with this difficulty, in this paper, affine decision rules are introduced to describe the relationship function between the dispatch decisions and uncertainties. Thus, the unknown decision functions in original stochastic programming problem are described by the linear functions, and the model with infinite constraints become solvable with guaranteeing the nonanticipativity and all-scenario-feasibility. Numerical tests are implemented on a real microgrid to verify the effectiveness and efficiency of the proposed method.
AB - This paper investigates the optimal economic dispatch of microgrid and establishes an efficient scheduling model for microgrid with multiple energy storage devices considering nonanticipativity and all-scenario-feasibility. Nonanticipativity and all-scenario-feasibility require the scheduling decisions could couple any realization scenarios within the uncertainty set, which represents infinite constraints essentially. To deal with this difficulty, in this paper, affine decision rules are introduced to describe the relationship function between the dispatch decisions and uncertainties. Thus, the unknown decision functions in original stochastic programming problem are described by the linear functions, and the model with infinite constraints become solvable with guaranteeing the nonanticipativity and all-scenario-feasibility. Numerical tests are implemented on a real microgrid to verify the effectiveness and efficiency of the proposed method.
KW - Affine decision rules
KW - All-scenario-feasibility
KW - Energy storage system
KW - Microgrid
KW - Nonanticipativity
UR - https://www.scopus.com/pages/publications/85149585561
U2 - 10.1109/CCDC55256.2022.10034404
DO - 10.1109/CCDC55256.2022.10034404
M3 - 会议稿件
AN - SCOPUS:85149585561
T3 - Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022
SP - 1223
EP - 1228
BT - Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 34th Chinese Control and Decision Conference, CCDC 2022
Y2 - 15 August 2022 through 17 August 2022
ER -