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Data-Aided Offline and Online Screening for Security Constraint
IEEE Transactions on Power Systems ( IF 6.5 ) Pub Date : 2020-11-24 , DOI: 10.1109/tpwrs.2020.3040222
Shubo Zhang , Hongxing Ye , Fengyu Wang , Yonghong Chen , Steve Rose , Yaming Ma

Security constraint is a key component in unit commitment to guarantee reliable generator commitment. Large set of security constraints are notorious for making the problem difficult to solve. Constraint screening, i.e., filtering out non-dominating constraints, is regarded as a powerful tool to address this challenge. This work presents a security-constraint screening that can effectively integrate virtual transaction and capture changes online in real-time or look-ahead markets. The proposed approach takes advantage of both deterministic and statistical methods, which leverages mathematical modeling and historical data. Effectiveness are verified using Midcontinent Independent System Operator (MISO) data.

中文翻译:

数据辅助的脱机和联机筛选,以限制安全性

安全约束是机组承诺中确保可靠发电机承诺的关键组成部分。大量的安全约束因使问题难以解决而臭名昭著。约束筛选,即滤除非主导约束,被认为是解决这一挑战的有力工具。这项工作提出了一种安全约束筛选,可以有效地集成虚拟交易并在实时或超前市场中在线捕获更改。所提出的方法利用了确定性方法和统计方法,它们利用了数学建模和历史数据。使用中洲独立系统运营商(MISO)数据验证有效性。
更新日期:2020-11-24
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