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Macroeconomic Assessment of Voltage Sags

Author

Listed:
  • Sinan Küfeoğlu

    (Department of Electrical Engineering and Automation , Aalto University, 02150 Espoo, Finland)

  • Matti Lehtonen

    (Department of Electrical Engineering and Automation , Aalto University, 02150 Espoo, Finland)

Abstract

The electric power sector has changed dramatically since the 1980s. Electricity customers are now demanding uninterrupted and high quality service from both utilities and authorities. By becoming more and more dependent on the voltage sensitive electronic equipment, the industry sector is the one which is affected the most by voltage disturbances. Voltage sags are one of the most crucial problems for these customers. The utilities, on the other hand, conduct cost-benefit analyses before going through new investment projects. At this point, understanding the costs of voltage sags become imperative for planning purposes. The characteristics of electric power consumption and hence the susceptibility against voltage sags differ considerably among different industry subsectors. Therefore, a model that will address the estimation of worth of electric power reliability for a large number of customer groups is necessary. This paper introduces a macroeconomic model to calculate Customer Voltage Sag Costs (CVSCs) for the industry sector customers. The proposed model makes use of analytical data such as value added, annual energy consumption, working hours, and average outage durations and provides a straightforward, credible, and easy to follow methodology for the estimation of CVSCs.

Suggested Citation

  • Sinan Küfeoğlu & Matti Lehtonen, 2016. "Macroeconomic Assessment of Voltage Sags," Sustainability, MDPI, vol. 8(12), pages 1-12, December.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:12:p:1304-:d:84991
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    Citations

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    Cited by:

    1. Jagannath Patra & Nitai Pal & Harish Chandra Mohanta & Reynah Akwafo & Heba G. Mohamed, 2023. "A Novel Approach of Voltage Sag Data Analysis Stochastically: Study, Representation, and Detection of Region of Vulnerability," Sustainability, MDPI, vol. 15(5), pages 1-29, February.
    2. Thongchart Kerdphol & Fathin Saifur Rahman & Yasunori Mitani, 2018. "Virtual Inertia Control Application to Enhance Frequency Stability of Interconnected Power Systems with High Renewable Energy Penetration," Energies, MDPI, vol. 11(4), pages 1-16, April.
    3. Jagannath Patra & Nitai Pal, 2022. "A Mathematical Approach of Voltage Sag Analysis Incorporating Bivariate Probability Distribution in a Meshed System," Energies, MDPI, vol. 15(20), pages 1-19, October.
    4. Fabio Mottola & Daniela Proto & Pietro Varilone & Paola Verde, 2020. "Planning of Distributed Energy Storage Systems in μGrids Accounting for Voltage Dips," Energies, MDPI, vol. 13(2), pages 1-20, January.
    5. Alena Otcenasova & Roman Bodnar & Michal Regula & Marek Hoger & Michal Repak, 2017. "Methodology for Determination of the Number of Equipment Malfunctions Due to Voltage Sags," Energies, MDPI, vol. 10(3), pages 1-26, March.

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