期刊
IEEE TRANSACTIONS ON POWER SYSTEMS
卷 35, 期 5, 页码 3636-3647出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2020.2987481
关键词
Uncertainty; Optimization; Load modeling; Power systems; Numerical models; Indexes; Scheduling; Microgrid; robust dispatch; N-1 uncertainty; mixed-integer optimization; reformulation-and-decomposition
资金
- National Natural Science Foundation of China [U1866208]
- State Scholarship Fund of China [201906090184]
- Scientific Research Foundation of Graduate School of Southeast University [YBPY1879]
To meet the diverse operational requirements of microgrids with multi-uncertainties, a tri-level two-stage mixed-integer robust optimization model is proposed to solve the optimal scheduling problem with source-load power and unit N-1 uncertainties. In the first stage, the optimal goal is to obtain robust scheduling plans that can be applied effectively in satisfying the operation and adjustment constraints, as well as to find the minimal operating cost in the basic scenario. Considering the system may concern a specific operating factor (e.g., load satisfaction rate) under a N-1 contingency, the second stage of the model minimizes the total energy of load shedding and renewable energy abandonment in the worst scenario. As the proposed robust model is a multi-level coupled mixed-integer optimization problem, which is difficult to address by either the duality method or the Karush-Kuhn-Tucker (KKT) method, a novel nested reformulation-and-decomposition (R&D) algorithm is proposed to handle this complex problem. Numerical simulations and tests have verified the effectiveness and superiority of the proposed robust model and the solution algorithm. Furthermore, the robust optimal schemes satisfy the engineering application more reasonably.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据