Nonlinear Modelling & Estimation of Harmonic Signals in Electric Power Systems

非线性建模

• 批准号: 9322798
• 负责人: Kraig Olejniczak
• 金额: $ 10.52万
• 依托单位: University of Arkansas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-09-15 至 1997-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9322798&HistoricalAwards=false
• 关键词: Nonlinear; Modelling; & Estimation; Harmonic

9322798 Olejniczak This project will investigate new harmonic signal models and state estimators for electric power quality analysis and assessment. Using state-variable techniques, harmonic signal models will be investigated to represent the stochastic variations in the amplitude, phase, and radian frequency of harmonic components in signals corrupted by noise. Nonlinear stochastic state estimators to identify the harmonic components of each measured signal for use in harmonic mitigation methodologies will be constructed. The new harmonic signal models in conjunction with their respective estimator may be applied to new flexible AC transmission systems (FACTS) controllers (e.g., static condenser) which have the capability of performing real-time harmonic filtering. Also, it is conjectured that the harmonic signal models created in this research project may be used in electric power system simulation software packages to more accurately represent field measurements and observed phenomena in the distribution system. ***

9322798 Olejniczak该项目将研究新的谐波信号模型和状态估计器，用于电力质量分析和评估。 使用状态变量技术，谐波信号模型将进行调查，以表示随机变化的幅度，相位和弧度频率的谐波分量的信号被噪声破坏。 将构建非线性随机状态估计器，以识别用于谐波缓解方法的每个测量信号的谐波分量。 新的谐波信号模型连同它们各自的估计器可以应用于新的灵活AC传输系统（FACTS）控制器（例如，静态电容器），其具有执行实时谐波滤波的能力。 此外，它是在本研究项目中创建的谐波信号模型可以用于电力系统仿真软件包，以更准确地表示现场测量和观察到的现象在配电系统中。 ***