A Scenario-classification Hybrid-based Banding Method for Power Transfer Limits of Critical Inter-corridors

• Published in: Journal of modern power systems and clean energy Vol. 12; no. 2; pp. 547 - 560
• Main Authors: Lidong Yi, Maosheng Ding, Jili Wang, Gao Qiu, Fei Xue, Ji'ang Liu, Yuxiong Huang, Gengfeng Li, Junyong Liu
• Format: Journal Article
• Language: English
• Published: IEEE 01.03.2024
• Subjects: banding; cluster; cost-sensitive learning; power transfer inter-corridor; transfer capability; Transfer limit
• ISSN: 2196-5420
• DOI: 10.35833/MPCE.2022.000791

To secure power system operations, practical dispatches in industries place a steady power transfer limit on critical inter-corridors, rather than high-dimensional and strong nonlinear stability constraints. However, computational complexities lead to over-conservative pre-settings of transfer limit, which further induce undesirable and non-technical congestion of power transfer. To conquer this barrier, a scenario-classification hybrid-based banding method is proposed. A cluster technique is adopted to separate similarities from historical and generated operating condition dataset. With a practical rule, transfer limits are approximated for each operating cluster. Then, toward an interpretable online transfer limit decision, costsensitive learning is applied to identify cluster affiliation to assign a transfer limit for a given operation. In this stage, critical variables that affect the transfer limit are also picked out via mean impact value. This enables us to construct low-complexity and dispatcher-friendly rules for fast determination of transfer limit. The numerical case studies on the IEEE 39-bus system and a real-world regional power system in China illustrate the effectiveness and conservativeness of the proposed method.