Abstract
Typically, stochastic energy system studies have focused solely on the day-ahead horizon of 36 hours ahead of time, while studies about hydro-thermal scheduling and expansion planning often neglect VRE uncertainty entirely.
In this work, the potential benefits of extending the horizon of VRE forecasts on the operation of hydro-dominated power systems was studied using a future Nordic system case study.
15-day ensemble weather forecasts were processed into realistic VRE forecasts up to 348 hours ahead of time, and their impacts on power system operations were simulated using stochastic unit commitment and economic dispatch optimisation.
While decreases in total yearly operational costs as well as hydropower spillage and wind power curtailment were observed until forecast horizons up to around 132--156 hours ahead of time, the relative cost reductions remained rather insignificant at around 0.20--0.35 \% and 0.10 pp respectively.
| Original language | English |
|---|---|
| Article number | 116668 |
| Number of pages | 33 |
| Journal | Energy |
| Volume | 192 |
| DOIs | |
| Publication status | Published - 1 Feb 2020 |
| MoE publication type | A1 Journal article-refereed |
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Keywords
- Unit commitment
- Economic dispatch
- Hydro-thermal scheduling
- stochastic programming
- Energy forecasting
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Impact of 15-day energy forecasts on the hydro-thermal scheduling of a future Nordic power system. / Rasku, Topi (Corresponding Author); Miettinen, Jari; Rinne, Erkka; Kiviluoma, Juha.
In: Energy, Vol. 192, 116668, 01.02.2020.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - Impact of 15-day energy forecasts on the hydro-thermal scheduling of a future Nordic power system
AU - Rasku, Topi
AU - Miettinen, Jari
AU - Rinne, Erkka
AU - Kiviluoma, Juha
N1 - Available online 5 December 2019. 24 months embargo
PY - 2020/2/1
Y1 - 2020/2/1
N2 - One of the most promising ways of de-carbonising the energy sector is through increasing the amounts of inherently uncertain variable renewable energy (VRE) generation in power systems.Typically, stochastic energy system studies have focused solely on the day-ahead horizon of 36 hours ahead of time, while studies about hydro-thermal scheduling and expansion planning often neglect VRE uncertainty entirely.In this work, the potential benefits of extending the horizon of VRE forecasts on the operation of hydro-dominated power systems was studied using a future Nordic system case study.15-day ensemble weather forecasts were processed into realistic VRE forecasts up to 348 hours ahead of time, and their impacts on power system operations were simulated using stochastic unit commitment and economic dispatch optimisation.While decreases in total yearly operational costs as well as hydropower spillage and wind power curtailment were observed until forecast horizons up to around 132--156 hours ahead of time, the relative cost reductions remained rather insignificant at around 0.20--0.35 \% and 0.10 pp respectively.
AB - One of the most promising ways of de-carbonising the energy sector is through increasing the amounts of inherently uncertain variable renewable energy (VRE) generation in power systems.Typically, stochastic energy system studies have focused solely on the day-ahead horizon of 36 hours ahead of time, while studies about hydro-thermal scheduling and expansion planning often neglect VRE uncertainty entirely.In this work, the potential benefits of extending the horizon of VRE forecasts on the operation of hydro-dominated power systems was studied using a future Nordic system case study.15-day ensemble weather forecasts were processed into realistic VRE forecasts up to 348 hours ahead of time, and their impacts on power system operations were simulated using stochastic unit commitment and economic dispatch optimisation.While decreases in total yearly operational costs as well as hydropower spillage and wind power curtailment were observed until forecast horizons up to around 132--156 hours ahead of time, the relative cost reductions remained rather insignificant at around 0.20--0.35 \% and 0.10 pp respectively.
KW - Unit commitment
KW - Economic dispatch
KW - Hydro-thermal scheduling
KW - stochastic programming
KW - Energy forecasting
UR - http://www.scopus.com/inward/record.url?scp=85076251883&partnerID=8YFLogxK
U2 - 10.1016/j.energy.2019.116668
DO - 10.1016/j.energy.2019.116668
M3 - Article
VL - 192
JO - Energy
JF - Energy
SN - 0360-5442
M1 - 116668
ER -