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Title: Calibrating Parameters of Power System Stability Models Using Advanced Ensemble Kalman Filter

Abstract

With the ever increasing penetration of renewable energy, smart loads, energy storage, and new market behavior, today's power grid becomes more dynamic and stochastic, which may invalidate traditional study assumptions and pose great operational challenges. Thus, it is of critical importance to maintain good-quality models for secure and economic planning and real-time operation. Following the 1996 Western Systems Coordinating Council (WSCC) system blackout, North American Electric Reliability Corporation (NERC) and Western Electricity Coordinating Council (WECC) in North America enforced a number of policies and standards to guide the power industry to periodically validate power grid models and calibrate poor parameters with the goal of building sufficient confidence in model quality. The PMU-based approach using online measurements without interfering with the operation of generators provides a low-cost alternative to meet NERC standards. This paper presents an innovative procedure and tool suites to validate and calibrate models based on a trajectory sensitivity analysis method and an advanced ensemble Kalman filter algorithm. The developed prototype demonstrates excellent performance in identifying and calibrating bad parameters of a realistic hydro power plant against multiple system events.

Authors:
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Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1455273
Report Number(s):
PNNL-SA-124548
Journal ID: ISSN 0885-8950; 453040310
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: IEEE Transactions on Power Systems; Journal Volume: 33; Journal Issue: 3
Country of Publication:
United States
Language:
English

Citation Formats

Huang, Renke, Diao, Ruisheng, Li, Yuanyuan, Sanchez-Gasca, Juan, Huang, Zhenyu, Thomas, Brian, Etingov, Pavel, Kincic, Slaven, Wang, Shaobu, Fan, Rui, Matthews, Gordon, Kosterev, Dmitry, Yang, Steve, and Zhao, Junbo. Calibrating Parameters of Power System Stability Models Using Advanced Ensemble Kalman Filter. United States: N. p., 2018. Web. doi:10.1109/TPWRS.2017.2760163.
Huang, Renke, Diao, Ruisheng, Li, Yuanyuan, Sanchez-Gasca, Juan, Huang, Zhenyu, Thomas, Brian, Etingov, Pavel, Kincic, Slaven, Wang, Shaobu, Fan, Rui, Matthews, Gordon, Kosterev, Dmitry, Yang, Steve, & Zhao, Junbo. Calibrating Parameters of Power System Stability Models Using Advanced Ensemble Kalman Filter. United States. doi:10.1109/TPWRS.2017.2760163.
Huang, Renke, Diao, Ruisheng, Li, Yuanyuan, Sanchez-Gasca, Juan, Huang, Zhenyu, Thomas, Brian, Etingov, Pavel, Kincic, Slaven, Wang, Shaobu, Fan, Rui, Matthews, Gordon, Kosterev, Dmitry, Yang, Steve, and Zhao, Junbo. Tue . "Calibrating Parameters of Power System Stability Models Using Advanced Ensemble Kalman Filter". United States. doi:10.1109/TPWRS.2017.2760163.
@article{osti_1455273,
title = {Calibrating Parameters of Power System Stability Models Using Advanced Ensemble Kalman Filter},
author = {Huang, Renke and Diao, Ruisheng and Li, Yuanyuan and Sanchez-Gasca, Juan and Huang, Zhenyu and Thomas, Brian and Etingov, Pavel and Kincic, Slaven and Wang, Shaobu and Fan, Rui and Matthews, Gordon and Kosterev, Dmitry and Yang, Steve and Zhao, Junbo},
abstractNote = {With the ever increasing penetration of renewable energy, smart loads, energy storage, and new market behavior, today's power grid becomes more dynamic and stochastic, which may invalidate traditional study assumptions and pose great operational challenges. Thus, it is of critical importance to maintain good-quality models for secure and economic planning and real-time operation. Following the 1996 Western Systems Coordinating Council (WSCC) system blackout, North American Electric Reliability Corporation (NERC) and Western Electricity Coordinating Council (WECC) in North America enforced a number of policies and standards to guide the power industry to periodically validate power grid models and calibrate poor parameters with the goal of building sufficient confidence in model quality. The PMU-based approach using online measurements without interfering with the operation of generators provides a low-cost alternative to meet NERC standards. This paper presents an innovative procedure and tool suites to validate and calibrate models based on a trajectory sensitivity analysis method and an advanced ensemble Kalman filter algorithm. The developed prototype demonstrates excellent performance in identifying and calibrating bad parameters of a realistic hydro power plant against multiple system events.},
doi = {10.1109/TPWRS.2017.2760163},
journal = {IEEE Transactions on Power Systems},
number = 3,
volume = 33,
place = {United States},
year = {Tue May 01 00:00:00 EDT 2018},
month = {Tue May 01 00:00:00 EDT 2018}
}