Title :
Benchmarking of planning models using recorded dynamics
Author :
Huang, Zhenyu ; Yang, Bo ; Kosterev, Dmitry
Author_Institution :
Battelle - Pacific Northwest Nat. Lab., Richland, WA
Abstract :
Power system planning extensively uses model simulation to understand the dynamic behaviors and determine the operating limits of a power system. Model quality is key to the safety and reliability of electricity delivery. Planning model benchmarking, or model validation, has been one of the central topics in power engineering studies for years. As model validation aims at obtaining reasonable models to represent dynamic behavior of power system components, it has been essential to validate models against actual measurements. The development of phasor technology provides such measurements and represents a new opportunity for model validation as phasor measurements can capture power system dynamics with high-speed, time-synchronized data. Previously, methods for rigorous comparison of model simulation and recorded dynamics have been developed and applied to quantify model quality of power plants in the Western Electricity Coordinating Council (WECC). These methods can locate model components which need improvement. Recent work continues this effort and focuses on how model parameters may be calibrated to match recorded dynamics after the problematic model components are identified. A calibration method using Extended Kalman Filter technique is being developed. This paper provides an overview of prior work on model validation and presents new development on the calibration method and initial results of model parameter calibration.
Keywords :
Kalman filters; electrical safety; nonlinear filters; power filters; power system planning; power system reliability; Western Electricity Coordinating Council; benchmarking; calibration method; electricity delivery reliability; electricity delivery safety; extended Kalman filter technique; power system components; power system planning; recorded dynamics; Calibration; Electrical safety; Power engineering; Power measurement; Power system dynamics; Power system measurements; Power system modeling; Power system planning; Power system reliability; Power system simulation; Dynamic Model Benchmarking; Extended Kalman Filter; Generator Modeling; Model Calibration; Model Validation; Phasor Measurement; Power System Planning; Wide-Area Measurement Systems (WAMS);
Conference_Titel :
Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-3810-5
Electronic_ISBN :
978-1-4244-3811-2
DOI :
10.1109/PSCE.2009.4840151