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Influence of the Type of Receiver on Electrical Energy Losses in Power Grids

Author

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  • Zbigniew Kłosowski

    (Institute of Electrical Engineering, Faculty of Telecommunications, Computer Science and Electrical Engineering, Bydgoszcz University of Science and Technology, 85-796 Bydgoszcz, Poland)

  • Łukasz Mazur

    (Institute of Electrical Engineering, Faculty of Telecommunications, Computer Science and Electrical Engineering, Bydgoszcz University of Science and Technology, 85-796 Bydgoszcz, Poland)

Abstract

The development of power electronics, including high-efficiency power supply systems, changes the structure of perception of the types of electrical energy receivers connected to the power grid at each supply voltage level. In the past, the dominant type of receivers were constant impedance devices. Currently, more and more devices have power supplies, which are most often constant power receivers. The construction and technological diversity of receivers allows mixed receivers, which are a combination of constant power and constant impedance receivers, to be distinguished. Therefore, there is a need to determine the impact of the type of electrical energy receivers on the power grid, both in the context of the operation of a single receiver and in the case of a branched power grid with a high penetration of distributed generation. This article will discuss the impact of the type of electrical energy receivers on the operation of the power grid, with particular emphasis on the issue of electrical energy losses at changing voltages. To determine the impact of receivers, simulation studies were performed based on two case stages: the first is a fragment of a low-voltage power grid in a household that supplies a heating device, which is analyzed as a different type of receiver; the second is a fragment of a low-voltage power grid with various types of consumers and photovoltaic installations. The research was carried out on the basis of the mathematical model of the low-voltage power network developed by the authors using the electric multipole method and Newton’s method. The obtained results show that the type of receiver may have an impact on electrical energy losses.

Suggested Citation

  • Zbigniew Kłosowski & Łukasz Mazur, 2023. "Influence of the Type of Receiver on Electrical Energy Losses in Power Grids," Energies, MDPI, vol. 16(15), pages 1-22, July.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5660-:d:1204192
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    References listed on IDEAS

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    1. Saša Vlahinić & Dubravko Franković & Vitomir Komen & Anamarija Antonić, 2019. "Reactive Power Compensation with PV Inverters for System Loss Reduction," Energies, MDPI, vol. 12(21), pages 1-17, October.
    2. Valeriya Tuzikova & Josef Tlusty & Zdenek Muller, 2018. "A Novel Power Losses Reduction Method Based on a Particle Swarm Optimization Algorithm Using STATCOM," Energies, MDPI, vol. 11(10), pages 1-15, October.
    3. Thuan Thanh Nguyen & Bach Hoang Dinh & Thai Dinh Pham & Thang Trung Nguyen, 2020. "Active Power Loss Reduction for Radial Distribution Systems by Placing Capacitors and PV Systems with Geography Location Constraints," Sustainability, MDPI, vol. 12(18), pages 1-30, September.
    4. Nagaraju Dharavat & Suresh Kumar Sudabattula & Suresh Velamuri & Sachin Mishra & Naveen Kumar Sharma & Mohit Bajaj & Elmazeg Elgamli & Mokhtar Shouran & Salah Kamel, 2022. "Optimal Allocation of Renewable Distributed Generators and Electric Vehicles in a Distribution System Using the Political Optimization Algorithm," Energies, MDPI, vol. 15(18), pages 1-25, September.
    5. Ahmed Al Ameri & Aouchenni Ounissa & Cristian Nichita & Aouzellag Djamal, 2017. "Power Loss Analysis for Wind Power Grid Integration Based on Weibull Distribution," Energies, MDPI, vol. 10(4), pages 1-16, April.
    6. Mohammed Hamouda Ali & Ali M. El-Rifaie & Ahmed A. F. Youssef & Vladimir N. Tulsky & Mohamed A. Tolba, 2023. "Techno-Economic Strategy for the Load Dispatch and Power Flow in Power Grids Using Peafowl Optimization Algorithm," Energies, MDPI, vol. 16(2), pages 1-29, January.
    7. Samson Ademola Adegoke & Yanxia Sun, 2023. "Diminishing Active Power Loss and Improving Voltage Profile Using an Improved Pathfinder Algorithm Based on Inertia Weight," Energies, MDPI, vol. 16(3), pages 1-14, January.
    8. Teketay Mulu Beza & Yen-Chih Huang & Cheng-Chien Kuo, 2020. "A Hybrid Optimization Approach for Power Loss Reduction and DG Penetration Level Increment in Electrical Distribution Network," Energies, MDPI, vol. 13(22), pages 1-17, November.
    9. 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.
    10. Daniel Pál & Ľubomír Beňa & Michal Kolcun & Zsolt Čonka, 2022. "Optimization of Active Power Losses in Smart Grids Using Photovoltaic Power Plants," Energies, MDPI, vol. 15(3), pages 1-14, January.
    11. Stanisław Mikulski & Andrzej Tomczewski, 2021. "Use of Energy Storage to Reduce Transmission Losses in Meshed Power Distribution Networks," Energies, MDPI, vol. 14(21), pages 1-20, November.
    12. Sunday Adeleke Salimon & Gafari Abiola Adepoju & Isaiah Gbadegesin Adebayo & Harun Or Rashid Howlader & Samson Oladayo Ayanlade & Oludamilare Bode Adewuyi, 2023. "Impact of Distributed Generators Penetration Level on the Power Loss and Voltage Profile of Radial Distribution Networks," Energies, MDPI, vol. 16(4), pages 1-32, February.
    13. Quynh T.T Tran & Eleonora Riva Sanseverino & Gaetano Zizzo & Maria Luisa Di Silvestre & Tung Lam Nguyen & Quoc-Tuan Tran, 2020. "Real-Time Minimization Power Losses by Driven Primary Regulation in Islanded Microgrids," Energies, MDPI, vol. 13(2), pages 1-17, January.
    14. Łukasz Mazur & Zbigniew Kłosowski, 2023. "A New Approach to the Use of Energy from Renewable Sources in Low-Voltage Power Distribution Networks," Energies, MDPI, vol. 16(2), pages 1-29, January.
    15. Mirna Fouad Abd El-salam & Eman Beshr & Magdy B. Eteiba, 2018. "A New Hybrid Technique for Minimizing Power Losses in a Distribution System by Optimal Sizing and Siting of Distributed Generators with Network Reconfiguration," Energies, MDPI, vol. 11(12), pages 1-26, November.
    16. Ibrahim Mohamed Diaaeldin & Shady H. E. Abdel Aleem & Ahmed El-Rafei & Almoataz Y. Abdelaziz & Ahmed F. Zobaa, 2019. "A Novel Graphically-Based Network Reconfiguration for Power Loss Minimization in Large Distribution Systems," Mathematics, MDPI, vol. 7(12), pages 1-17, December.
    17. Łukasz Mazur & Sławomir Cieślik & Stanislaw Czapp, 2023. "Trends in Locally Balanced Energy Systems without the Use of Fossil Fuels: A Review," Energies, MDPI, vol. 16(12), pages 1-31, June.
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