Nonlinear Modelling & Estimation of Harmonic Signals in Electric Power Systems

9322798 Olejniczak这个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，将研究谐波信号模型来表示被噪声破坏的信号中谐波分量的幅度、相位和弧度频率的随机变化。将构建非线性随机状态估计器，以识别每个测量信号的谐波分量，用于谐波缓解方法。新的谐波信号模型及其各自的估计器可以应用于具有实时谐波滤波能力的新型柔性交流传输系统（FACTS）控制器（例如，静态电容器）。同时，本课题所建立的谐波信号模型可以应用于电力系统仿真软件包中，更准确地反映配电系统的现场测量和观测现象。＊＊＊

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. ***