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

Juhani Rantaniemi, Jaakko Jääskeläinen, Jukka Lassila and Samuli Honkapuro
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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

Energies, 2022, vol. 15, issue 2, 1-12

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.

Keywords: power system planning; synthetic network data; optimal power production positioning; energy policies (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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