Strategic capacity expansion planning in hydro-dominated power systems: Insights from the Nordics

Conventional capacity expansion planning (CEP) relies on a perfect-foresight planning horizon and linear investment optimization, which fail to capture the non-linear dynamics of electricity markets. In the Nordics, hydro-related weather variability plays a critical role in maintaining the robustness of the power system. This paper addresses the intra-year perfect-foresight limitation in current CEP models, focusing on hydro-dominated power systems with substantial hydro reservoir capacity, using Sweden’s decarbonization pathway toward 2050 as a case study. Our approach provides a robust long-term CEP framework by leveraging short-term price forecasts to guide storage dispatch decisions. The proposed CEP model has been historically validated and captures the dynamics of seasonal storage hydro reservoirs, achieving deviations of less than €1/MWh in annual average prices across all Swedish bidding zones. A comparative analysis between the proposed and conventional CEP models (cGrid and GenX), together with the Ten-Year Network Development Plan (TYNDP 2024), reveals a broad alignment in capacity expansion and dispatch under an average weather year. However, in a problematic weather year, with correlated low wind output and reduced hydro inflows, significant divergences emerge, with half-year price averages differing by up to ± €40/MWh. These discrepancies are mainly driven by contrasting approaches to hydro reservoir modeling. Notably, the proposed CEP model recommends a 37.5 % increase in firm nuclear capacity to mitigate supply shortages, whereas the conventional CEP suggests a 4.4 % reduction, thereby increasing reliance on weather-dependent resources. These findings underscore the limitations of perfect-foresight CEP in power systems with substantial seasonal storage resources. • Compares a linear expansion with an improved framework featuring non-linear dispatch. • Reflects hydro reservoir flexibility consistent with hourly operations. • Shows major deviation in market behavior during the challenging 2002 weather year. • Indicates +38% nuclear capacity in the improved model, while linear on suggests a −4% cut. • Highlights the limits of using perfect-foresight linear expansion models.

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Publication Details

Journal
Energy
Published
2025-12-24
DOI
https://doi.org/10.1016/j.energy.2025.139771
Primary Topic
Electric Power System Optimization
Type
article
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article

Strategic capacity expansion planning in hydro-dominated power systems: Insights from the Nordics

Sebastian Svanström, Jonas Kristiansen Nøland, Jakub Jurasz, Alexander Kies et al.
Energy
Electric Power System Optimization
article

Strategic capacity expansion planning in hydro-dominated power systems: Insights from the Nordics

Sebastian Svanström, Jonas Kristiansen Nøland, Jakub Jurasz, Alexander Kies, A. Såmark-Roth, C. Hellesen, Staffan Qvist, Lukas Lundström, Davi Rodrigues Damasceno, Martin Hjelmeland, Lina Bertling Tjernberg, Per Norberg, Oscar Lagnelöv, Daniel M. Cox, Albert Payaró Llisterri, Mohammad Reza Hesamzadeh, Johan Hagsten, Joseph T.K. McKenna, Ying Yang, Martin Lundberg
article en

Abstract

Conventional capacity expansion planning (CEP) relies on a perfect-foresight planning horizon and linear investment optimization, which fail to capture the non-linear dynamics of electricity markets. In the Nordics, hydro-related weather variability plays a critical role in maintaining the robustness of the power system. This paper addresses the intra-year perfect-foresight limitation in current CEP models, focusing on hydro-dominated power systems with substantial hydro reservoir capacity, using Sweden’s decarbonization pathway toward 2050 as a case study. Our approach provides a robust long-term CEP framework by leveraging short-term price forecasts to guide storage dispatch decisions. The proposed CEP model has been historically validated and captures the dynamics of seasonal storage hydro reservoirs, achieving deviations of less than €1/MWh in annual average prices across all Swedish bidding zones. A comparative analysis between the proposed and conventional CEP models (cGrid and GenX), together with the Ten-Year Network Development Plan (TYNDP 2024), reveals a broad alignment in capacity expansion and dispatch under an average weather year. However, in a problematic weather year, with correlated low wind output and reduced hydro inflows, significant divergences emerge, with half-year price averages differing by up to ± €40/MWh. These discrepancies are mainly driven by contrasting approaches to hydro reservoir modeling. Notably, the proposed CEP model recommends a 37.5 % increase in firm nuclear capacity to mitigate supply shortages, whereas the conventional CEP suggests a 4.4 % reduction, thereby increasing reliance on weather-dependent resources. These findings underscore the limitations of perfect-foresight CEP in power systems with substantial seasonal storage resources. • Compares a linear expansion with an improved framework featuring non-linear dispatch. • Reflects hydro reservoir flexibility consistent with hourly operations. • Shows major deviation in market behavior during the challenging 2002 weather year. • Indicates +38% nuclear capacity in the improved model, while linear on suggests a −4% cut. • Highlights the limits of using perfect-foresight linear expansion models.

EnergyVol. 344
Lund University (SE), Aarhus University (DK), Norwegian University of Science and Technology (NO), KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 42%
Electric Power System Optimization
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