skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A New Multi-Scale State Estimation Framework for the Next Generation of Power Grid EMS

Abstract

Accurate system state information under various operation conditions is a prerequisite for power grid monitoring and efficient control. To achieve that goal, a new multi-scale state estimation framework is proposed, paving the way for the development of next generation of energy management system (EMS). The developed framework consists of three key components, namely the static state estimation (SSE) module, the dynamic state estimation (DSE) module, the interfaces and switching logics between the two modules. Specifically, the singular spectrum analysis (SSA)-based change point detection approach is developed to monitor the system continuously. If no event is detected by the SSA, the robust SSE using both SCADA and PMU measurements is executed. Otherwise, the event is declared and the results from SSE are used to derive the initial condition for DSE. During the transient process, only PMU-based DSE is executed for system monitoring and it will be terminated when SSA does not detect any change point of the system. After that, the DSE results are forwarded for SSE initialization and bus voltage magnitude and angle estimations. Simulation results carried out on the IEEE 39-bus system demonstrate the effectiveness and benefits of the proposed framework.

Authors:
 [1];  [2];  [3];  [2];  [4]; ORCiD logo [2]
  1. Virginia Polytechnic Institute
  2. BATTELLE (PACIFIC NW LAB)
  3. State University of New York at Binghamton
  4. Virginia Tech
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1604777
Report Number(s):
PNNL-SA-139400
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: IEEE Power & Energy Society General Meeting (PESGM 2019), August 4-8, 2019
Country of Publication:
United States
Language:
English
Subject:
Power system state estimation, energy management system, dynamic state estimation, singular spectrum analysis

Citation Formats

Zhao, Junbo, Wang, Shaobu, Zhou, Ning, Huang, Renke, Mili, Lamine, and Huang, Zhenyu. A New Multi-Scale State Estimation Framework for the Next Generation of Power Grid EMS. United States: N. p., 2019. Web. doi:10.1109/PESGM40551.2019.8973858.
Zhao, Junbo, Wang, Shaobu, Zhou, Ning, Huang, Renke, Mili, Lamine, & Huang, Zhenyu. A New Multi-Scale State Estimation Framework for the Next Generation of Power Grid EMS. United States. doi:10.1109/PESGM40551.2019.8973858.
Zhao, Junbo, Wang, Shaobu, Zhou, Ning, Huang, Renke, Mili, Lamine, and Huang, Zhenyu. Sun . "A New Multi-Scale State Estimation Framework for the Next Generation of Power Grid EMS". United States. doi:10.1109/PESGM40551.2019.8973858.
@article{osti_1604777,
title = {A New Multi-Scale State Estimation Framework for the Next Generation of Power Grid EMS},
author = {Zhao, Junbo and Wang, Shaobu and Zhou, Ning and Huang, Renke and Mili, Lamine and Huang, Zhenyu},
abstractNote = {Accurate system state information under various operation conditions is a prerequisite for power grid monitoring and efficient control. To achieve that goal, a new multi-scale state estimation framework is proposed, paving the way for the development of next generation of energy management system (EMS). The developed framework consists of three key components, namely the static state estimation (SSE) module, the dynamic state estimation (DSE) module, the interfaces and switching logics between the two modules. Specifically, the singular spectrum analysis (SSA)-based change point detection approach is developed to monitor the system continuously. If no event is detected by the SSA, the robust SSE using both SCADA and PMU measurements is executed. Otherwise, the event is declared and the results from SSE are used to derive the initial condition for DSE. During the transient process, only PMU-based DSE is executed for system monitoring and it will be terminated when SSA does not detect any change point of the system. After that, the DSE results are forwarded for SSE initialization and bus voltage magnitude and angle estimations. Simulation results carried out on the IEEE 39-bus system demonstrate the effectiveness and benefits of the proposed framework.},
doi = {10.1109/PESGM40551.2019.8973858},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {8}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share: