Technical Analysis of Customer-Based and Grid-Topology-Aware Load Shifting in an Industrial Zone

Ugurluyol C., Cetinkaya U., Kul S., BAYINDIR R.

14th International Conference on Smart Grid, icSmartGrid 2026, Suceava, Romanya, 6 - 09 Temmuz 2026, ss.202-206, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/icsmartgrid70882.2026.11680771
  • Basıldığı Şehir: Suceava
  • Basıldığı Ülke: Romanya
  • Sayfa Sayıları: ss.202-206
  • Anahtar Kelimeler: Distributed Energy Resources, Grid Topology, Industrial Zone, Load Shifting, Prosumer Integration
  • Gazi Üniversitesi Adresli: Evet

Özet

Increasing photovoltaic (PV) generation and prosumer participation in industrial zones significantly change the direction of power flow and the loading characteristics of distribution grids. This study analyzes the technical effects of grid-topology-aware load shifting in the 16-node distribution grid of the Karaman Industrial Zone (IZ) by using 2025 hourly advanced metering infrastructure (AMI) data and load-flow simulations. A rule-based shifting procedure was applied to 109 prosumers and 208 consumers over seven representative days covering summer, season, and winter periods. At connection points, when reverse power flow occurs under the reference condition, load shifting completely eliminates it. As a result, prosumer peak loads were reduced by approximately 20%, while grid line loadings improved by 4-8%. The seasonal analyses indicate that load-shifting performance depends on the level of PV generation. In the summer period, when PV generation is high, shifting loads to daytime hours improved the local generation-consumption balance, reduced reverse power flow, and decreased peak loads. In contrast, under winter conditions with low PV generation, the same load-shifting approach did not always yield positive results; in some hours, concentrating shifted loads into specific time intervals created new peak loads. Therefore, load-shifting strategies to be implemented in industrial zones should not be based on fixed rules but instead be adapted to season, PV generation levels, and grid topology.