Improved Observability in Distribution Grids Using Correlational Measurements
This paper develops a novel pseudo-measurement construct termed a Correlational Measurement (CM) to improve observability and state estimation accuracy. CMs utilize the correlation between similar classes of loads and DERs. The modifications required to accommodate CMs in traditional node voltage or...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9724221/ |
| _version_ | 1818290200740102144 |
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| author | Yohan John Venkatesh Venkataramanan Anuradha M. Annaswamy Anamika Dubey Anurag K. Srivastava |
| author_facet | Yohan John Venkatesh Venkataramanan Anuradha M. Annaswamy Anamika Dubey Anurag K. Srivastava |
| author_sort | Yohan John |
| collection | DOAJ |
| description | This paper develops a novel pseudo-measurement construct termed a Correlational Measurement (CM) to improve observability and state estimation accuracy. CMs utilize the correlation between similar classes of loads and DERs. The modifications required to accommodate CMs in traditional node voltage or branch current based state estimators are derived. Additionally, an observability analysis framework for distribution systems with DERs is presented to seamlessly integrate CMs. The framework assembles an observability test and an observable island identification procedure from the literature along with a novel observability metric. Finally, an on-line CM parameter estimation procedure is presented. Simulations on the IEEE 123 bus test system and real field data from Pecan Street demonstrate the utility of the proposed CMs and the observability analysis framework in improving observability and state estimation accuracy. |
| first_indexed | 2024-12-13T02:24:24Z |
| format | Article |
| id | doaj.art-b08f6c1d48e144fa9b38f31be8845f4d |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T02:24:24Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-b08f6c1d48e144fa9b38f31be8845f4d2022-12-22T00:02:41ZengIEEEIEEE Access2169-35362022-01-0110273202732910.1109/ACCESS.2022.31558099724221Improved Observability in Distribution Grids Using Correlational MeasurementsYohan John0Venkatesh Venkataramanan1https://orcid.org/0000-0001-8550-5013Anuradha M. Annaswamy2https://orcid.org/0000-0002-4354-0459Anamika Dubey3https://orcid.org/0000-0001-5147-9961Anurag K. Srivastava4https://orcid.org/0000-0003-3518-8018Department of Mechanical Engineering, Active-Adaptive Control Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USADepartment of Mechanical Engineering, Active-Adaptive Control Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USADepartment of Mechanical Engineering, Active-Adaptive Control Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USASchool of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USASchool of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USAThis paper develops a novel pseudo-measurement construct termed a Correlational Measurement (CM) to improve observability and state estimation accuracy. CMs utilize the correlation between similar classes of loads and DERs. The modifications required to accommodate CMs in traditional node voltage or branch current based state estimators are derived. Additionally, an observability analysis framework for distribution systems with DERs is presented to seamlessly integrate CMs. The framework assembles an observability test and an observable island identification procedure from the literature along with a novel observability metric. Finally, an on-line CM parameter estimation procedure is presented. Simulations on the IEEE 123 bus test system and real field data from Pecan Street demonstrate the utility of the proposed CMs and the observability analysis framework in improving observability and state estimation accuracy.https://ieeexplore.ieee.org/document/9724221/Correlation coefficientdistributed power generationobservabilityparameter estimationstate estimation |
| spellingShingle | Yohan John Venkatesh Venkataramanan Anuradha M. Annaswamy Anamika Dubey Anurag K. Srivastava Improved Observability in Distribution Grids Using Correlational Measurements IEEE Access Correlation coefficient distributed power generation observability parameter estimation state estimation |
| title | Improved Observability in Distribution Grids Using Correlational Measurements |
| title_full | Improved Observability in Distribution Grids Using Correlational Measurements |
| title_fullStr | Improved Observability in Distribution Grids Using Correlational Measurements |
| title_full_unstemmed | Improved Observability in Distribution Grids Using Correlational Measurements |
| title_short | Improved Observability in Distribution Grids Using Correlational Measurements |
| title_sort | improved observability in distribution grids using correlational measurements |
| topic | Correlation coefficient distributed power generation observability parameter estimation state estimation |
| url | https://ieeexplore.ieee.org/document/9724221/ |
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