Abstrakti
The predictability of power ows in an electricity transmission grid is becoming more complex and there is an increasing need for exibility. The changes in the operational environment challenge the currently used methods of outage planning of a transmission grid. Currently, there is lack of methods capable to estimate the power ows, voltages, grid congestions and exibility needs of a region in a time frame of one to three years prior to a planned outage. As a solution, this paper presents an approach based on market modeling and time series to estimate the power ows, voltages, grid congestions and exibility needs in outage planning. To demonstrate the applicability of the approach, the paper presents the results of a case study of a generation surplus region in Finland. The results of the case study show that the presented approach is capable to estimate exibility needs in the context of outage planning.
Alkuperäiskieli | Englanti |
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Sivumäärä | 33 |
Julkaisu | CIGRE Science and Engineering |
Vuosikerta | 2023 |
Numero | 30 |
Tila | Julkaistu - lokak. 2023 |
OKM-julkaisutyyppi | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä |
Rahoitus
This project (OneNet) has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 957739.
Rahoittajat | Rahoittajan numero |
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Horizon 2020 Framework Programme | 957739 |
Julkaisufoorumi-taso
- Jufo-taso 1
!!ASJC Scopus subject areas
- Control and Systems Engineering
- Renewable Energy, Sustainability and the Environment
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering