Xianzhuang Liu, Yong Min, Lei Chen, 等. A pragmatic method to determine transient stability constrained with interface real power flow limits via power system scenario similarity[J]. 中国电机工程学会电力与能源系统学报(英文), 2020,6(1):131-141.
Xianzhuang Liu, Yong Min, Lei Chen, et al. A pragmatic method to determine transient stability constrained with interface real power flow limits via power system scenario similarity[J]. CSEE Journal of Power and Energy Systems, 2020, 6(1): 131-141.
Xianzhuang Liu, Yong Min, Lei Chen, 等. A pragmatic method to determine transient stability constrained with interface real power flow limits via power system scenario similarity[J]. 中国电机工程学会电力与能源系统学报(英文), 2020,6(1):131-141. DOI: 10.17775/CSEEJPES.2019.01420.
Xianzhuang Liu, Yong Min, Lei Chen, et al. A pragmatic method to determine transient stability constrained with interface real power flow limits via power system scenario similarity[J]. CSEE Journal of Power and Energy Systems, 2020, 6(1): 131-141. DOI: 10.17775/CSEEJPES.2019.01420.
A pragmatic method to determine transient stability constrained with interface real power flow limits via power system scenario similarity
operators generally keep interface flowing under the transient stability constrained with interface real power flow limits (TS-IRPFL) to guarantee transient stability of the system. Many methods of computing TS-IRPFL have been proposed. However
in practice
the method widely used to determine TS-IRPFL is based on selection and analysis of typical scenarios as well as scenario matching. First
typical scenarios are selected and analyzed to obtain accurate limits
then the scenario to be analyzed is matched with a certain typical scenario
whose limit is adopted as the forecast limit. In this paper
following the steps described above
a pragmatic method to determine TS-IRPFL is proposed. The proposed method utilizes data-driven tools to improve the steps of scenario selection and matching. First of all
we formulate a clear model of power system scenario similarity. Based on the similarity model
we develop a typical scenario selector by clustering and a scenario matcher by nearest neighbor algorithm. The proposed method is pragmatic because it does not change the existing procedure. Moreover
it is much more reasonable than the traditional method. Test results verify the validity of the method.
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相关作者
Zhenglong Sun
Zhifeng He
Naiyuan Liu
Rui Zhang
Bo Wang
Guowei Cai
Yuqing Lin
Tianhao Wen
相关机构
Department of Electrical Engineering, Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University)
School of Electric Power Engineering, South China University of Technology
School of Electrical and Electronic Engineering, Nanyang Technological University
Laboratory of Power Grid Safety and Energy Conservation, China Electric Power Research Institute
School of Engineering, Cardiff University, Cardiff, U.