为解决交流系统大扰动下电流源型直流输电(line commutate converter based HVDC,LCC-HVDC)系统电磁暂态精度响应实时求取困难的问题,该文基于动态相量法仿真框架,详细讨论了大扰动下LCC-HVDC直流输电系统的建模方案,并针对工程现场的...为解决交流系统大扰动下电流源型直流输电(line commutate converter based HVDC,LCC-HVDC)系统电磁暂态精度响应实时求取困难的问题,该文基于动态相量法仿真框架,详细讨论了大扰动下LCC-HVDC直流输电系统的建模方案,并针对工程现场的计算精度与计算复杂度要求和逆变侧容易发生的换相失败现象,重构了易于拓展的仿真模型计算框架。多故障场景的仿真对比实验表明,与传统的动态相量仿真方案相比,所提出的框架能够准确反映直流系统在逆变侧交流系统受扰下的暂态响应特征,同时提高了计算速度,实现了LCC-HVDC系统暂态响应的高精度、实时化计算。展开更多
Synchrophasors are the state-of-the-art measuring devices that sense various parameters such as voltage, current, frequency, and other grid parameters with a high sampling rate. This paper presents an approach to visu...Synchrophasors are the state-of-the-art measuring devices that sense various parameters such as voltage, current, frequency, and other grid parameters with a high sampling rate. This paper presents an approach to visualize and analyze the smart-grid data generated by synchrophasors using a visualization tool and density based clustering technique. A MATLAB based circle representation tool is utilized to visualize the real-time phasor data generated by a smart-grid model that mimics a synchrophasor. A density based clustering technique is also used to cluster the phasor data with the aim to detect contingency situations such as bad-data classification, various fault types, deviation on frequency, voltage or current values for better situational alertness. The paper uses data from an IEEE fourteen bus system test-bed modeled in MATLAB/SIMULINK to aid system operators in carrying various predictive analytics, and decisions.展开更多
文摘为解决交流系统大扰动下电流源型直流输电(line commutate converter based HVDC,LCC-HVDC)系统电磁暂态精度响应实时求取困难的问题,该文基于动态相量法仿真框架,详细讨论了大扰动下LCC-HVDC直流输电系统的建模方案,并针对工程现场的计算精度与计算复杂度要求和逆变侧容易发生的换相失败现象,重构了易于拓展的仿真模型计算框架。多故障场景的仿真对比实验表明,与传统的动态相量仿真方案相比,所提出的框架能够准确反映直流系统在逆变侧交流系统受扰下的暂态响应特征,同时提高了计算速度,实现了LCC-HVDC系统暂态响应的高精度、实时化计算。
文摘Synchrophasors are the state-of-the-art measuring devices that sense various parameters such as voltage, current, frequency, and other grid parameters with a high sampling rate. This paper presents an approach to visualize and analyze the smart-grid data generated by synchrophasors using a visualization tool and density based clustering technique. A MATLAB based circle representation tool is utilized to visualize the real-time phasor data generated by a smart-grid model that mimics a synchrophasor. A density based clustering technique is also used to cluster the phasor data with the aim to detect contingency situations such as bad-data classification, various fault types, deviation on frequency, voltage or current values for better situational alertness. The paper uses data from an IEEE fourteen bus system test-bed modeled in MATLAB/SIMULINK to aid system operators in carrying various predictive analytics, and decisions.
