TY - GEN
T1 - Day-ahead Optimal Scheduling of Flexibly Interconnected Low-voltage Distribution Transformer Areas
AU - Ye, Zhigang
AU - Yuan, Yubo
AU - Gao, Lei
AU - Bu, Qiangsheng
AU - Yi, Wenfi
AU - Wang, Chenqing
AU - Zheng, Mingzhong
AU - Luo, Fei
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper first introduces the background of the flexible interconnection system of low-voltage distribution areas containing photovoltaic, energy storage systems, and charging piles, and reviews the existing studies on the optimal scheduling models of flexible interconnection systems. On this basis, this paper proposes the evaluation indices of the day-ahead scheduling and the optimization model to obtain the optimal scheduling strategies. The optimization model includes operating constraints of components such as distribution transformers, photovoltaic, energy storage systems, and charging piles, and operating constraints of systems such as nodal and branch power flow, and the objective functions. Subsequently, the optimization model is linearized to be a MILP model and can be solved by off-the-shelf solvers such as Cplex and Gurobi. Finally, a case study on a flexible interconnection system with two distribution areas in a park is designed and solved, and the effectiveness of the proposed optimization model is verified.
AB - This paper first introduces the background of the flexible interconnection system of low-voltage distribution areas containing photovoltaic, energy storage systems, and charging piles, and reviews the existing studies on the optimal scheduling models of flexible interconnection systems. On this basis, this paper proposes the evaluation indices of the day-ahead scheduling and the optimization model to obtain the optimal scheduling strategies. The optimization model includes operating constraints of components such as distribution transformers, photovoltaic, energy storage systems, and charging piles, and operating constraints of systems such as nodal and branch power flow, and the objective functions. Subsequently, the optimization model is linearized to be a MILP model and can be solved by off-the-shelf solvers such as Cplex and Gurobi. Finally, a case study on a flexible interconnection system with two distribution areas in a park is designed and solved, and the effectiveness of the proposed optimization model is verified.
KW - charging piles
KW - energy storage
KW - flexible interconnection system
KW - optimal scheduling
KW - photovoltaic
UR - https://www.scopus.com/pages/publications/85179764463
U2 - 10.1109/ICSGSC59580.2023.10319215
DO - 10.1109/ICSGSC59580.2023.10319215
M3 - 会议稿件
AN - SCOPUS:85179764463
T3 - 2023 7th International Conference on Smart Grid and Smart Cities, ICSGSC 2023
SP - 124
EP - 130
BT - 2023 7th International Conference on Smart Grid and Smart Cities, ICSGSC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Smart Grid and Smart Cities, ICSGSC 2023
Y2 - 22 September 2023 through 24 September 2023
ER -
