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Performance and Accuracy Investigation of the Two-Step Algorithm for Power System State and Line Temperature Estimation

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  • Michal Wydra

    (Department of Power Systems, Lublin University of Technology, Nadbystrzycka 38A, 20-618 Lublin, Poland)

Abstract

Data concerning actual temperatures of line conductors constitutes essential information for the power system operator. The temperature of the power lines can be used to improve the accuracy of the power system model, thereby increasing the accuracy of the state estimation. This article presents a two-step algorithm for the power system state and line temperature estimation. In its second stage, the proposed method searches for a line temperatures vector, which corrects the uncertain power system base model and allows for further minimization of an objective function. As a result, a more accurate estimation is obtained along with a more precise model of the estimated system. The derived model can then be used for more accurate optimization. The presented method enhances standard procedures of power system state estimation, and its advantage is that it does not require direct measurements performed by phasor measurement units or measurements of line conductor temperatures and weather conditions realized by dynamic line rating systems. The results of simulations made on various test models have been examined, confirming the convergence of the procedure to the point at which the average temperature of the line wires together with the voltage values and phase angles are achieved. The algorithm’s performance and improvement method have also been presented. An advantage of the investigated approach is the possibility to calculate the temperature of line wires with the use of primary measurements in the power system. The presented and examined method, however, is sensitive to the measuring device errors. Additionally, an analysis of the method’s errors and ways of reducing them has been performed.

Suggested Citation

  • Michal Wydra, 2018. "Performance and Accuracy Investigation of the Two-Step Algorithm for Power System State and Line Temperature Estimation," Energies, MDPI, vol. 11(4), pages 1-20, April.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:1005-:d:142275
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    References listed on IDEAS

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    1. Tao Jin & Xueyu Shen, 2018. "A Mixed WLS Power System State Estimation Method Integrating a Wide-Area Measurement System and SCADA Technology," Energies, MDPI, vol. 11(2), pages 1-22, February.
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    Cited by:

    1. Haoran Zhao & Huiru Zhao & Sen Guo, 2018. "Operational Efficiency of Chinese Provincial Electricity Grid Enterprises: An Evaluation Employing a Three-Stage Data Envelopment Analysis (DEA) Model," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    2. Tong Guo & Yajing Gao & Xiaojie Zhou & Yonggang Li & Jiaomin Liu, 2018. "Optimal Scheduling of Power System Incorporating the Flexibility of Thermal Units," Energies, MDPI, vol. 11(9), pages 1-17, August.
    3. Ngo Minh Khoa & Doan Duc Tung, 2018. "Locating Fault on Transmission Line with Static Var Compensator Based on Phasor Measurement Unit," Energies, MDPI, vol. 11(9), pages 1-14, September.
    4. Mario Klarić & Igor Kuzle & Ninoslav Holjevac, 2018. "Wind Power Monitoring and Control Based on Synchrophasor Measurement Data Mining," Energies, MDPI, vol. 11(12), pages 1-23, December.
    5. Zhi Wu & Xiao Du & Wei Gu & Ping Ling & Jinsong Liu & Chen Fang, 2018. "Optimal Micro-PMU Placement Using Mutual Information Theory in Distribution Networks," Energies, MDPI, vol. 11(7), pages 1-19, July.
    6. Raja Masood Larik & Mohd Wazir Mustafa & Muhammad Naveed Aman & Touqeer Ahmed Jumani & Suhaib Sajid & Manoj Kumar Panjwani, 2018. "An Improved Algorithm for Optimal Load Shedding in Power Systems," Energies, MDPI, vol. 11(7), pages 1-16, July.
    7. Zipeng Liang & Haoyong Chen & Xiaojuan Wang & Idris Ibn Idris & Bifei Tan & Cong Zhang, 2018. "An Extreme Scenario Method for Robust Transmission Expansion Planning with Wind Power Uncertainty," Energies, MDPI, vol. 11(8), pages 1-22, August.
    8. Yuanqian Ma & Xianyong Xiao & Ying Wang, 2018. "Investment Strategy and Multi–Objective Optimization Scheme for Premium Power under the Background of the Opening of Electric Retail Side," Energies, MDPI, vol. 11(8), pages 1-25, August.

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