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Elimination of Line Overloads in a Power System Saturated with Renewable Energy Sources

Author

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  • Paweł Pijarski

    (Department of Power Engineering, Faculty of Electrical Engineering and Computer Science, Lublin University of Technology, Nadbystrzycka St. 38D, 20-618 Lublin, Poland)

  • Piotr Kacejko

    (Department of Power Engineering, Faculty of Electrical Engineering and Computer Science, Lublin University of Technology, Nadbystrzycka St. 38D, 20-618 Lublin, Poland)

Abstract

The increasing number of renewable energy sources (RESs) connected to power grids contributes to the emergence of not only balancing problems but also technical ones, such as the overloading of power lines. If renewable sources with a high generation level are planned to be connected in the area under consideration, then a large number of significant overloads should be expected, especially during contingency analysis. As a rule, high-voltage networks have a mesh topology, which is why the concept of using advanced mathematical algorithms was developed, with the help of which the resulting threats can be eliminated. This article presents a proposal for a new method of eliminating line overloads and determining the currently available nodal generation levels. Its innovation is a new method of eliminating problems related to the capacity of power grids. The high efficiency of the method results from the appropriately defined response of properly selected RES sources to the state of network congestion. The problem under consideration is illustrated with the example of a modified IEEE 118-bus test network. In order to eliminate line overloads, the article proposes a two-stage approach. In the first step, the sources that are most responsible for the occurring overloads are determined. In the second step, a metaheuristic algorithm is used to solve a nonlinear optimisation problem with constraints. This task involves reducing the power generated in the sources selected in the previous step in such a way that the resulting line overloads are eliminated, and, at the same time, the total value of the curtailed generation is minimal.

Suggested Citation

  • Paweł Pijarski & Piotr Kacejko, 2023. "Elimination of Line Overloads in a Power System Saturated with Renewable Energy Sources," Energies, MDPI, vol. 16(9), pages 1-19, April.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:9:p:3751-:d:1134524
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    References listed on IDEAS

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    1. Kai Wang & Lixia Kang & Songhao Yang, 2022. "A Coordination Optimization Method for Load Shedding Considering Distribution Network Reconfiguration," Energies, MDPI, vol. 15(21), pages 1-18, November.
    2. Nur Zawani Saharuddin & Izham Zainal Abidin & Hazlie Mokhlis & Abdul Rahim Abdullah & Kanendra Naidu, 2018. "A Power System Network Splitting Strategy Based on Contingency Analysis," Energies, MDPI, vol. 11(2), pages 1-18, February.
    3. Paweł Pijarski & Piotr Kacejko & Piotr Miller, 2023. "Advanced Optimisation and Forecasting Methods in Power Engineering—Introduction to the Special Issue," Energies, MDPI, vol. 16(6), pages 1-20, March.
    4. Padmini Sankaramurthy & Bharatiraja Chokkalingam & Sanjeevikumar Padmanaban & Zbigniew Leonowicz & Yusuff Adedayo, 2019. "Rescheduling of Generators with Pumped Hydro Storage Units to Relieve Congestion Incorporating Flower Pollination Optimization," Energies, MDPI, vol. 12(8), pages 1-19, April.
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    Cited by:

    1. Paweł Pijarski & Candra Saigustia & Piotr Kacejko & Adrian Belowski & Piotr Miller, 2024. "Optimal Network Reconfiguration and Power Curtailment of Renewable Energy Sources to Eliminate Overloads of Power Lines," Energies, MDPI, vol. 17(12), pages 1-22, June.
    2. Krystian Janusz Cieślak, 2024. "Profitability Analysis of a Prosumer Photovoltaic Installation in Light of Changing Electricity Billing Regulations in Poland," Energies, MDPI, vol. 17(15), pages 1-16, July.

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