Title: Long term flexibility forecasting for grid planning: Estimation of demand-side flexibility in the residential sector
Översikt
- Datum:Startar 2 juni 2023, 10:00Slutar 2 juni 2023, 11:00
- Plats:
- Språk:Svenska och engelska
Opponents: Abshir Omar Hasan and Valdrin Thaqi
Abstract:
With the expected electrification in Gothenburg, distribution system operators (DSOs) must continuously reinforce the grid with expensive and time-consuming investments to meet the increasing capacity demand. But in recent years, other strategies have emerged. One strategy is demand-side flexibility (DSF), which refers to the change in consumption that consumers may provide to support the grid. For a DSO to plan ahead, long-term forecasts of the available DSF are required in order to assess how its application can be incorporated into the network expansion plans and support the increasing capacity demand.
In this study, a long-term forecast of the available DSF was conducted for the customer base of Göteborg Energi, in order to investigate the availability and impact of DSF, both today and for the years 2030 and 2035. A customer segmentation and weighting of the total customer base, showcased the residential segment as most suitable for flexibility applications. The load shifting capability of HPs and EVs, as well as peak shaving effect from PV solar panels proved to be the most fitting demand side resources (DSRs) to investigate. The results indicated that on the coldest day of the year, the theoretical maximum DSF in 2035 from HPs, PV solar panels and EVs during the expected morning peak load hours at 8am-11am would reach 145 MW and 82 MW during the evening peak load hours at 4pm-7pm. Due to
higher HP consumption and solar production during the early hours, more DSF was
consequently available in the morning, although there was no contribution from residential BEV charging at that time. The application of DSF from the residential customer base, could provide a 10% reduction of the expected power demand in 2035 during the morning peak load hours and 6% during the evening peak load hours.
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Adam, Hadi and David