IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i8p2111-d533463.html

Adaptive Tolerant State Estimation under Model Uncertainty in Power Systems

Author

Listed:
  • Ruizi Ma

    (College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China)

Abstract

In this paper an adaptive tolerant estimator using singular value decomposition is proposed for a distribution network under model uncertainty in power systems. The adaptive tolerant estimator was designed with adjusted parameters and adjusted weights to overcome the limitations of model uncertainty. The estimator that reduces the measurement errors is adaptive to fast parameter changes in complicated environments. The singular value decomposition method was combined into the state estimator, which extended the over-determined cases to under-determined cases under model uncertainty. The performance of the tolerant estimator was compared with the conventional adaptive estimator, and the tolerant estimator showed accurate estimations against model uncertainty in complicated measurement environments.

Suggested Citation

  • Ruizi Ma, 2021. "Adaptive Tolerant State Estimation under Model Uncertainty in Power Systems," Energies, MDPI, vol. 14(8), pages 1-15, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:8:p:2111-:d:533463
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/8/2111/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/8/2111/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Benjamin Schäfer & Dirk Witthaut & Marc Timme & Vito Latora, 2018. "Dynamically induced cascading failures in power grids," Nature Communications, Nature, vol. 9(1), pages 1-13, December.
    2. Yang, Xuan & Zhang, Xiao-Ping & Zhou, Suyang, 2012. "Coordinated algorithms for distributed state estimation with synchronized phasor measurements," Applied Energy, Elsevier, vol. 96(C), pages 253-260.
    3. Guo, Hengdao & Zheng, Ciyan & Iu, Herbert Ho-Ching & Fernando, Tyrone, 2017. "A critical review of cascading failure analysis and modeling of power system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 9-22.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Zhaoming & Zhao, Zhiwei & Xiang, Qi & Li, Zixin & Hu, Jingjing & Peng, Shiliang & Jiao, Dingyu & Xie, Yiwei & Su, Huai & Zio, Enrico & Faber, Michael H. & Zhang, Laibin & Zhang, Jinjun, 2025. "Self-organized criticality study in natural gas pipeline systems: A system & data science approach," Applied Energy, Elsevier, vol. 387(C).
    2. Chen, Lei & Lu, Juntao & Wang, Yalin & Jia, Chunxiao & Liu, Run-Ran & Meng, Fanyuan, 2025. "Cascading failures with group support in interdependent hypergraphs," Chaos, Solitons & Fractals, Elsevier, vol. 192(C).
    3. Zou, Cong & Li, Bing & Liu, Feiyang & Xu, Bingrui, 2022. "Event-Triggered μ-state estimation for Markovian jumping neural networks with mixed time-delays," Applied Mathematics and Computation, Elsevier, vol. 425(C).
    4. Zou, Qiling & Chen, Suren, 2019. "Enhancing resilience of interdependent traffic-electric power system," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    5. Göteman, Malin & Panteli, Mathaios & Rutgersson, Anna & Hayez, Léa & Virtanen, Mikko J. & Anvari, Mehrnaz & Johansson, Jonas, 2025. "Resilience of offshore renewable energy systems to extreme metocean conditions: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 216(C).
    6. Liu, Run-Ran & Chu, Changchang & Meng, Fanyuan & Jia, Chun-Xiao, 2025. "Hypergraph-based modeling of cascading failures with probabilistic node-to-group interactions," Chaos, Solitons & Fractals, Elsevier, vol. 192(C).
    7. Park, Sangjoon & Kim, Cook Hyun & Kahng, B., 2025. "Optimal location of reinforced inertia to stabilize power grids," Chaos, Solitons & Fractals, Elsevier, vol. 199(P2).
    8. Zhao, Yixin & Cai, Baoping & Cozzani, Valerio & Liu, Yiliu, 2025. "Failure dependence and cascading failures: A literature review and research opportunities," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
    9. Liang, Huangbin & Moya, Beatriz & Chinesta, Francisco & Chatzi, Eleni, 2026. "A multi-model probabilistic framework for seismic risk assessment and retrofit planning of electric power networks," Reliability Engineering and System Safety, Elsevier, vol. 268(C).
    10. Liu, Hanchen & Wang, Chong & Ju, Ping & Li, Hongyu, 2022. "A sequentially preventive model enhancing power system resilience against extreme-weather-triggered failures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    11. Brunner, L.G. & Peer, R.A.M. & Zorn, C. & Paulik, R. & Logan, T.M., 2024. "Understanding cascading risks through real-world interdependent urban infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    12. Sabarathinam Srinivasan & Suresh Kumarasamy & Zacharias E. Andreadakis & Pedro G. Lind, 2023. "Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey," Energies, MDPI, vol. 16(14), pages 1-56, July.
    13. Hao Wu & Xiangyi Meng & Michael M. Danziger & Sean P. Cornelius & Hui Tian & Albert-László Barabási, 2022. "Fragmentation of outage clusters during the recovery of power distribution grids," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    14. Zhang, Suhan & Gu, Wei & Qiu, Haifeng & Yao, Shuai & Pan, Guangsheng & Chen, Xiaogang, 2021. "State estimation models of district heating networks for integrated energy system considering incomplete measurements," Applied Energy, Elsevier, vol. 282(PA).
    15. Huang, Yubo & Dong, Hongli & Zhang, Weidong & Lu, Junguo, 2019. "Stability analysis of nonlinear oscillator networks based on the mechanism of cascading failures," Chaos, Solitons & Fractals, Elsevier, vol. 128(C), pages 5-15.
    16. Sun, Ruichen & Zhang, Hao & Zou, Chengye & Zhang, Chuan & Liu, Zhengqi, 2025. "Attractors and basins of cascading networked evolutionary game under generalized asynchronous update," Chaos, Solitons & Fractals, Elsevier, vol. 200(P1).
    17. Su, Hongzhi & Wang, Chengshan & Li, Peng & Li, Peng & Liu, Zhelin & Wu, Jianzhong, 2019. "Novel voltage-to-power sensitivity estimation for phasor measurement unit-unobservable distribution networks based on network equivalent," Applied Energy, Elsevier, vol. 250(C), pages 302-312.
    18. Chu, Xiaolei & Wang, Ziqi, 2025. "Maximum entropy-based modeling of community-level hazard responses for civil infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).
    19. Shriram Ashok Kumar & Maliha Tasnim & Zohvin Singh Basnyat & Faezeh Karimi & Kaveh Khalilpour, 2022. "Resilience Analysis of Australian Electricity and Gas Transmission Networks," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    20. Zhang, Kaimin & Bai, Libiao & Xie, Xiaoyan & Wang, Chenshuo, 2023. "Modeling of risk cascading propagation in project portfolio network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 612(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:8:p:2111-:d:533463. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.