Balancing of Wind Power Variations Using Norwegian Hydro                     Power

Korpås, Magnus; Trötscher, Thomas; Völler, Steve; Tande, John Olav Giæver

doi:10.1260/0309-524x.37.1.79

Cited by 19 publications

(14 citation statements)

References 3 publications

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“…As a notable exception, [9] examines the influence of the involved simplification procedures on the results obtained from equivalent reservoir models of the São Francisco River Hydroelectric System in Brazil by comparing them to those obtained from an operational optimisation model considering the individual reservoir characteristics. In [27], two power market models, one simplified and one detailed, are used to model possible balancing responses of Norwegian hydropower to a wind-driven exchange pattern for various amounts of exchange capacity.…”

Section: Previous Work On Hydro System Aggregationmentioning

confidence: 99%

“…The inner two sums essentially determine an equivalent pump conversion coefficient for each pumped storage reservoir j ∈ J P h , proportional to the installed downstream pump capacity, and not disregarding potential parallel paths. The outer sum adds up the weighted equivalent pump conversion coefficients of every pumped storage reservoir which is then divided by the equivalent maximum pump capacity, presented in Equation (27).…”

Section: Equivalent Model Formulationmentioning

confidence: 99%

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Aggregation Methods for Modelling Hydropower and Its Implications for a Highly Decarbonised Energy System in Europe

Härtel

Korpås

2017

Energies

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Given the pursuit of long-term decarbonisation targets, future power systems face the task of integrating the renewable power and providing flexible backup production capacity. Due to its general ability to be dispatched, hydropower offers unique features and a backup production option not to be neglected, especially when taking the flexibility potential of multireservoir systems into account. Adequate hydropower representations are a necessity when analysing future power markets and aggregation methods are crucial for overcoming computational challenges. However, a major issue is that the aggregation must not be a too flexible representation. In a first step, a novel equivalent hydro system model implementation including a possibility to integrate pumping capacity and appropriate handling of multiple water paths (hydraulic coupling) by making use of an ex-ante optimisation is proposed. In a second step, a clustered equivalent hydro system model implementation employing k-means clustering is presented. A comparison of both aggregation approaches against the detailed reference system shows that both aggregated model variants yield significant reductions in computation time while keeping an adequate level of accuracy for a highly decarbonised power system scenario in Europe. The aggregation methods can easily be applied in different model types and may also be helpful in the stochastic case.

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Section: Previous Work On Hydro System Aggregationmentioning

confidence: 99%

Section: Equivalent Model Formulationmentioning

confidence: 99%

Aggregation Methods for Modelling Hydropower and Its Implications for a Highly Decarbonised Energy System in Europe

Härtel

Korpås

2017

Energies

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“…The last of the four research questions, is studied in several papers: [10][11][12][13][14]. E.g., [10] shows development of reservoir level over the years and hydro power production over the years dependent of some increase in cross-border capacities.…”

Section: Introductionmentioning

confidence: 99%

“…E.g., [10] shows development of reservoir level over the years and hydro power production over the years dependent of some increase in cross-border capacities. However, one of the main conclusions in [9] was that few of the studies include both wind and solar resources and with shares which can be expected in a perspective to 2050.…”

Section: Introductionmentioning

confidence: 99%

Norway as a Battery for the Future European Power System—Impacts on the Hydropower System

Graabak

Jaehnert

Korpås³

et al. 2017

Energies

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Future power production in Europe is expected to include large shares of variable wind and solar power production. Norway, with approximately half of the hydropower reservoir capacity in Europe, can contribute to balance the variability. The aim of this paper is to assess how such a role may impact the Norwegian hydropower system in terms of production pattern of the plants, changes in reservoir level and water values. The study uses a stochastic optimization and simulation model and analyses an eHighway2050 scenario combined with increases in the hydropower production capacities in Norway. The capacity increases from ca. 31 GW in the present system to 42 and 50 GW respectively. The study uses 75 years with stochastic wind, solar radiation, temperature and inflow data. The results show that the hydropower system is able to partly balance the variable production and significantly reduce the power prices for the analyzed case. The paper shows that some of the power plants utilize their increased capacity, while other plants do not due to hydrological constraints and model limitations. The paper discusses how the modelling can be further improved in order to quantify more of the potential impacts on the future power system.

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“…Because renewable energy, such as solar power, wind power, and hydropower, is intermittent in character, balancing the increasing amounts of electricity from renewable sources under climate variability [ Korpås et al ., ] while complying with policy directives (2000/60/ec; 2009/28/ec) is a significant challenge for the future. The availability of renewable energy sources, such as solar, wind, and hydropower, shows coherences over long periods [ Wörman et al ., ], which stresses the need for regulation strategies.…”

Section: Introductionmentioning

confidence: 99%

Spectral decomposition of regulatory thresholds for climate‐driven fluctuations in hydro‐ and wind power availability

Wörman

Bottacin‐Busolin

Zmijewski

et al. 2017

Water Resources Research

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Climate‐driven fluctuations in the runoff and potential energy of surface water are generally large in comparison to the capacity of hydropower regulation, particularly when hydropower is used to balance the electricity production from covarying renewable energy sources such as wind power. To define the bounds of reservoir storage capacity, we introduce a dedicated reservoir volume that aggregates the storage capacity of several reservoirs to handle runoff from specific watersheds. We show how the storage bounds can be related to a spectrum of the climate‐driven modes of variability in water availability and to the covariation between water and wind availability. A regional case study of the entire hydropower system in Sweden indicates that the longest regulation period possible to consider spans from a few days of individual subwatersheds up to several years, with an average limit of a couple of months. Watershed damping of the runoff substantially increases the longest considered regulation period and capacity. The high covariance found between the potential energy of the surface water and wind energy significantly reduces the longest considered regulation period when hydropower is used to balance the fluctuating wind power.

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Balancing of Wind Power Variations Using Norwegian Hydro Power

Cited by 19 publications

References 3 publications

Aggregation Methods for Modelling Hydropower and Its Implications for a Highly Decarbonised Energy System in Europe

Aggregation Methods for Modelling Hydropower and Its Implications for a Highly Decarbonised Energy System in Europe

Norway as a Battery for the Future European Power System—Impacts on the Hydropower System

Spectral decomposition of regulatory thresholds for climate‐driven fluctuations in hydro‐ and wind power availability

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