Robust dynamic and algebraic state estimation for microgrids: A generalized approach
Abstract Network control, optimization, and security analysis are facilitated by accurate microgrid state estimation. By utilizing phasor measurement units (PMUs), a combined robust centralized dynamic algebraic approach is proposed in this paper for estimating algebraic states (voltage phasors) as...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-10-01
|
| Series: | IET Renewable Power Generation |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/rpg2.12851 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850205065832300544 |
|---|---|
| author | Iraj Pourkeivani Mehrdad Abedi Shahram Montaser Kouhsari Kazem Yaqoubi Ali Fahimi |
| author_facet | Iraj Pourkeivani Mehrdad Abedi Shahram Montaser Kouhsari Kazem Yaqoubi Ali Fahimi |
| author_sort | Iraj Pourkeivani |
| collection | DOAJ |
| description | Abstract Network control, optimization, and security analysis are facilitated by accurate microgrid state estimation. By utilizing phasor measurement units (PMUs), a combined robust centralized dynamic algebraic approach is proposed in this paper for estimating algebraic states (voltage phasors) as well as dynamic states (associated with synchronous generators and wind turbines). Assuming that a load is placed on each bus, an innovative PMU placement method is also presented to provide measurements for all dynamic and algebraic state variables. As a robust link between algebraic state estimation and dynamic state estimation, the output results of the least absolute value (LAV) estimator, which is robust against bad data, are fed to dynamic state estimators as pseudo measurements. Next, to address the nonlinearity of synchronous generator and wind turbine models, an unscented Kalman filter (UKF) is applied to estimate dynamic states precisely. The numerical tests on a microgrid test system show that the suggested approach is suitable for both algebraic and dynamic state estimation. Synchronous generators and wind turbines are modeled using nonlinear models of the 9th and third orders, respectively, and static loads are modeled as voltage‐frequency dependent ones. |
| format | Article |
| id | doaj-art-87f22b8013644a098f178bb844bb0726 |
| institution | OA Journals |
| issn | 1752-1416 1752-1424 |
| language | English |
| publishDate | 2023-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj-art-87f22b8013644a098f178bb844bb07262025-08-20T02:11:11ZengWileyIET Renewable Power Generation1752-14161752-14242023-10-0117133373338510.1049/rpg2.12851Robust dynamic and algebraic state estimation for microgrids: A generalized approachIraj Pourkeivani0Mehrdad Abedi1Shahram Montaser Kouhsari2Kazem Yaqoubi3Ali Fahimi4Department of Electrical Engineering Amirkabir University of Technology Tehran IranDepartment of Electrical Engineering Amirkabir University of Technology Tehran IranDepartment of Electrical Engineering Amirkabir University of Technology Tehran IranDepartment of Electrical Engineering Amirkabir University of Technology Tehran IranDepartment of Electrical Engineering Amirkabir University of Technology Tehran IranAbstract Network control, optimization, and security analysis are facilitated by accurate microgrid state estimation. By utilizing phasor measurement units (PMUs), a combined robust centralized dynamic algebraic approach is proposed in this paper for estimating algebraic states (voltage phasors) as well as dynamic states (associated with synchronous generators and wind turbines). Assuming that a load is placed on each bus, an innovative PMU placement method is also presented to provide measurements for all dynamic and algebraic state variables. As a robust link between algebraic state estimation and dynamic state estimation, the output results of the least absolute value (LAV) estimator, which is robust against bad data, are fed to dynamic state estimators as pseudo measurements. Next, to address the nonlinearity of synchronous generator and wind turbine models, an unscented Kalman filter (UKF) is applied to estimate dynamic states precisely. The numerical tests on a microgrid test system show that the suggested approach is suitable for both algebraic and dynamic state estimation. Synchronous generators and wind turbines are modeled using nonlinear models of the 9th and third orders, respectively, and static loads are modeled as voltage‐frequency dependent ones.https://doi.org/10.1049/rpg2.12851electric generatorsestimation theorypower system state estimationphasor measurementwind turbines |
| spellingShingle | Iraj Pourkeivani Mehrdad Abedi Shahram Montaser Kouhsari Kazem Yaqoubi Ali Fahimi Robust dynamic and algebraic state estimation for microgrids: A generalized approach IET Renewable Power Generation electric generators estimation theory power system state estimation phasor measurement wind turbines |
| title | Robust dynamic and algebraic state estimation for microgrids: A generalized approach |
| title_full | Robust dynamic and algebraic state estimation for microgrids: A generalized approach |
| title_fullStr | Robust dynamic and algebraic state estimation for microgrids: A generalized approach |
| title_full_unstemmed | Robust dynamic and algebraic state estimation for microgrids: A generalized approach |
| title_short | Robust dynamic and algebraic state estimation for microgrids: A generalized approach |
| title_sort | robust dynamic and algebraic state estimation for microgrids a generalized approach |
| topic | electric generators estimation theory power system state estimation phasor measurement wind turbines |
| url | https://doi.org/10.1049/rpg2.12851 |
| work_keys_str_mv | AT irajpourkeivani robustdynamicandalgebraicstateestimationformicrogridsageneralizedapproach AT mehrdadabedi robustdynamicandalgebraicstateestimationformicrogridsageneralizedapproach AT shahrammontaserkouhsari robustdynamicandalgebraicstateestimationformicrogridsageneralizedapproach AT kazemyaqoubi robustdynamicandalgebraicstateestimationformicrogridsageneralizedapproach AT alifahimi robustdynamicandalgebraicstateestimationformicrogridsageneralizedapproach |