CAJ | 학술논문

提出了转移潮流法的改进算法，增强了同步辨识拓扑错误和不良数据的能力。改进算法充分利用了转移潮流对拓扑变化的敏感性以及加权最小绝对值状态估计对不良数据的抑制性，通过情形判断将拓扑错误回路和不良数据回路尽可能地区别开来，从而避免了原转移潮流法的缺点，提高了辨识能力。
제출료전이조류법적개진산법，증강료동보변식탁복착오화불량수거적능력。개진산법충분이용료전이조류대탁복변화적민감성이급가권최소절대치상태고계대불량수거적억제성，통과정형판단장탁복착오회로화불량수거회로진가능지구별개래，종이피면료원전이조류법적결점，제고료변식능력。
An improved power flow transfer approach is prpopsed to enhance the ability of synchronous identification of topology error and bad data. In the proposed approach the sensitivity of transfer power flow to topological change and the inhibition of state estimation based on weighted least absolute value （WLAV） to bad data are fully utilized, and through situational judgment the loops containing topology errors can be distinguished from the loops containing bad data as possible, thus the drawbacks in original power flow transfer approach can be avoided and the identifying ability can be enhanced.