Power System Dynamic Monitoring Research Articles

Monitoring of power system dynamics under incomplete PMU observability condition

This work presents a hybrid state estimation procedure that allows power system dynamics associated to slow and fast transient events to be accurately monitored considering a limited amount of phasor measurement units. The proposal represents an enhanced version of a previously developed static state estimation approach. This time, two main changes are introduced. First, a weighted least absolute value estimator instead the conventional weighted least square technique is used to estimate bus voltages in transient regime. This makes the estimation process more robust at fast scan rates. Second, an extended Kalman filter based dynamic state estimator is integrated. Thus, the proposed scheme is able to estimate, along with static variables, dynamic variables of all generators and motors in the power system regardless of the availability of phasor measurement unit measurements at terminal buses. This is possible thanks to a novel data-mining based methodology for full phasor measurement unit observability restoration. Performance parameters such as accuracy, computing time and convergence properties are assessed by applying the estimation procedure to the New England benchmark system under different operating conditions.

Previous Research of Real Time Power System Dynamic Monitoring Master Station System Test Specification

Phasor measurement technology developed rapidly in CHINA, Real time power system dynamic monitoring master station system were built widely in inter-regional power system and provincial power system, With WAMS system of practical ,WAMS master station test specification making is particularly important .The WAMS application ,series standard normative and the need to make a master station system test specification were described .According to the master system in the operation of the power dispatch center ,test content was put forward ,the content include Hardware requirements ,the system function and the application functions .At the same time ,protocol test method ,transmission delay test method ,data formats ,the test methods of system performance and application performance were proposed .Test content and methods research of real time power system dynamic monitoring master station system lay the foundation for the making of the master station system test specification ,provide reference for the development and practical use of real-time dynamic monitoring system.

Identifications and Monitoring of Power System Dynamics Based on the PMUs and Wavelet Technique

Identifications and Monitoring of Power System Dynamics Based on the PMUs and Wavelet Technique

Monitoring system for Japan Western 60‐Hz power system based on multiple synchronized phasor measurements

AbstractThe Japan Western 60‐Hz System consists of six major electric power companies. Due to its longitudinal structure, there are some significant oscillation modes represented by long‐term oscillation in the whole system. Independent load frequency control based on Tie‐Line Bias control (TBC) has been adopted by each company. Also, some independent power producers are participating in the power generation business. Under these circumstances, the system may show some interesting dynamics. So far, some oscillatory characteristics have been measured in an individual company's own area or in the interconnecting tie lines. However, there was little observation in the power system as a whole. In this paper the authors present a global system for monitoring of power system dynamics using the synchronized phasor measurement technique at some universities located in the 60‐Hz power system. Phasor measurements are synchronized based on the global positioning system (GPS) and measured data are transmitted via the Internet. Some oscillatory features and variations of phasors in 1 day, 1 week, or 1 year are analyzed using the acquired data. © 2004 Wiley Periodicals, Inc. Electr Eng Jpn, 149(3): 24–31, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.20009