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Optimal Management of Energy Consumption in an Autonomous Power System Considering Alternative Energy Sources

Author

Listed:
  • Vadim Manusov

    (Department of Industrial Power Supply Systems, Novosibirsk State Technical University, 630073 Novosibirsk, Russia)

  • Svetlana Beryozkina

    (College of Engineering and Technology, American University of the Middle East, Kuwait)

  • Muso Nazarov

    (Department of Industrial Power Supply Systems, Novosibirsk State Technical University, 630073 Novosibirsk, Russia)

  • Murodbek Safaraliev

    (Department of Automated Electrical Systems, Ural Federal University, 620002 Yekaterinburg, Russia)

  • Inga Zicmane

    (Faculty of Electrical and Environmental Engineering, Riga Technical University, LV-1048 Riga, Latvia)

  • Pavel Matrenin

    (Department of Industrial Power Supply Systems, Novosibirsk State Technical University, 630073 Novosibirsk, Russia)

  • Anvari Ghulomzoda

    (Department of Automated Electric Power Systems, Novosibirsk State Technical University, 630073 Novosibirsk, Russia)

Abstract

This work aims to analyze and manage the optimal power consumption of the autonomous power system within the Pamir region of Republic of Tajikistan, based on renewable energy sources. The task is solved through linear programming methods, production rules and mathematical modeling of power consumption modes by generating consumers. It is assumed that power consumers in the considered region have an opportunity to independently cover energy shortage by installing additional generating energy sources. The objective function is to minimize the financial expenses for own power consumption, and to maximize them from both the export and redistribution of power flows. In this study, the optimal ratio of power generation by alternative sources from daily power consumption for winter was established to be hydroelectric power plants (94.8%), wind power plant (3.8%), solar photovoltaic power plant (0.5%) and energy storage (0.8%); while it is not required in summer due to the ability to ensure the balance of energy by hydroelectric power plants. As a result, each generating consumer can independently minimize their power consumption and maximize profit from the energy exchange with other consumers, depending on the selected energy sources, thus becoming a good example of carbon-free energy usage at the micro- and mini-grid level.

Suggested Citation

  • Vadim Manusov & Svetlana Beryozkina & Muso Nazarov & Murodbek Safaraliev & Inga Zicmane & Pavel Matrenin & Anvari Ghulomzoda, 2022. "Optimal Management of Energy Consumption in an Autonomous Power System Considering Alternative Energy Sources," Mathematics, MDPI, vol. 10(3), pages 1-17, February.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:3:p:525-:d:744067
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    References listed on IDEAS

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    Cited by:

    1. Liang, Hejun & Pirouzi, Sasan, 2024. "Energy management system based on economic Flexi-reliable operation for the smart distribution network including integrated energy system of hydrogen storage and renewable sources," Energy, Elsevier, vol. 293(C).
    2. Khasanzoda, Nasrullo & Safaraliev, Murodbek & Zicmane, Inga & Beryozkina, Svetlana & Rahimov, Jamshed & Ahyoev, Javod, 2022. "Use of smart grid based wind resources in isolated power systems," Energy, Elsevier, vol. 253(C).
    3. Vadim Manusov & Pavel Matrenin & Muso Nazarov & Svetlana Beryozkina & Murodbek Safaraliev & Inga Zicmane & Anvari Ghulomzoda, 2023. "Short-Term Prediction of the Wind Speed Based on a Learning Process Control Algorithm in Isolated Power Systems," Sustainability, MDPI, vol. 15(2), pages 1-12, January.

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