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Online Estimation of Voltage Stability Margin Using PMU Data

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Signals, Machines and Automation (SIGMA 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1023))

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Abstract

For secure and reliable operation, online monitoring of voltage stability margin is important in smart grid. It is critical to determine how close a power system is to voltage breakdown online in order to operate it safely. Based on the basic definition of voltage stability margin, a simple method is proposed to determine the voltage stability index (VSI) using PMU data instead of local measurement. This VSI is used for anticipating the voltage collapse in power systems. The index is calculated using the bus's maximum load capacity and the Thevenin equivalent approach for the system's aggregated representation. The index for line voltage measurement can be computed by computing the Thevenin based on fast load flow or phasor measurement units (PMUs) data. Proposed technique is demonstrated with a standard IEEE 14-bus test system.

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Authors and Affiliations

  1. Departmentof Electrical Engineering, National Institute of Technology Warangal, Warangal, India

    Lohitha Avula & Ram Krishan

  2. DEHN India, Gurugram, India

    Krishan Kumar

Authors
  1. Lohitha Avula
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  2. Ram Krishan
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  3. Krishan Kumar
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Corresponding author

Correspondence to Lohitha Avula .

Editor information

Editors and Affiliations

  1. Department of Instrumentation and Control Engineering, Netaji Subhas University of Technology, New Delhi, Delhi, India

    Asha Rani

  2. Department of Instrumentation and Control Engineering, Netaji Subhas University of Technology, New Delhi, Delhi, India

    Bhavnesh Kumar

  3. Department of Electrical Engineering, National Institute of Technology Delhi, New Delhi, Delhi, India

    Vivek Shrivastava

  4. Department of Electrical Engineering, University of Sharjah, Sharjah, United Arab Emirates

    Ramesh C. Bansal

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Avula, L., Krishan, R., Kumar, K. (2023). Online Estimation of Voltage Stability Margin Using PMU Data. In: Rani, A., Kumar, B., Shrivastava, V., Bansal, R.C. (eds) Signals, Machines and Automation. SIGMA 2022. Lecture Notes in Electrical Engineering, vol 1023. Springer, Singapore. https://doi.org/10.1007/978-981-99-0969-8_15

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  • DOI: https://doi.org/10.1007/978-981-99-0969-8_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-0968-1

  • Online ISBN: 978-981-99-0969-8

  • eBook Packages: EnergyEnergy (R0)

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