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A Study on the Impact of Distance-Based Value Loss on Transmission Network Power Flow Using Synthetic Networks

Author

Listed:
  • Juhani Rantaniemi

    (School of Energy Systems, LUT University, Yliopistonkatu 34, 53850 Lappeenranta, Finland)

  • Jaakko Jääskeläinen

    (Department of Mechanical Engineering, School of Engineering, Aalto University, Otakaari 4, 02150 Espoo, Finland)

  • Jukka Lassila

    (School of Energy Systems, LUT University, Yliopistonkatu 34, 53850 Lappeenranta, Finland)

  • Samuli Honkapuro

    (School of Energy Systems, LUT University, Yliopistonkatu 34, 53850 Lappeenranta, Finland)

Abstract

This paper presents a methodology for rapid generation of synthetic transmission networks and uses it to investigate how a transmission distance-based value loss affects the overall grid power flow. The networks are created with a graph theory-based method and compared to existing energy systems. The power production is located on these synthetic networks by solving a facility location optimization problem with variable distance-based value losses. Next, AC power flow is computed for a snapshot of each network using the Newton–Raphson method and the transmission grid power flow is analyzed. The presented method enables rapid analysis of several grid topologies and offers a way to compare the effects of production incentives and renewable energy policies in different network conditions.

Suggested Citation

  • Juhani Rantaniemi & Jaakko Jääskeläinen & Jukka Lassila & Samuli Honkapuro, 2022. "A Study on the Impact of Distance-Based Value Loss on Transmission Network Power Flow Using Synthetic Networks," Energies, MDPI, vol. 15(2), pages 1-12, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:2:p:423-:d:719510
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    References listed on IDEAS

    as
    1. Tao Shen & Yanjun Li & Ji Xiang, 2018. "A Graph-Based Power Flow Method for Balanced Distribution Systems," Energies, MDPI, vol. 11(3), pages 1-11, February.
    2. Martín-Martínez, F. & Sánchez-Miralles, A. & Rivier, M. & Calvillo, C.F., 2017. "Centralized vs distributed generation. A model to assess the relevance of some thermal and electric factors. Application to the Spanish case study," Energy, Elsevier, vol. 134(C), pages 850-863.
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