Detailed long‐term hydro‐thermal scheduling for expansion planning in the Nordic power system

Helseth, Arild; Mo, Birger; Henden, Arild Lothe; Warland, Geir

doi:10.1049/iet-gtd.2017.0903

Cited by 41 publications

(47 citation statements)

References 33 publications

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“…The objective of this paper is to compare the results from two stochastic dynamic optimization models with different methodological approaches for the simulation of the power system. Previous research compared the models for the Nordic region in 2020 [2]. This paper expands the analysis to Europe in 2050 and a power system with very high shares of wind and solar resources in the production portfolio.…”

Section: Objectivementioning

confidence: 97%

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Norway as a Battery for the Future European Power System – Comparison of Two Different Methodological Approaches

Graabak

Jaehnert

Korpås

et al. 2018

Proceedings of the 6th International Workshop on Hydro Scheduling in Competitive Electricity Markets

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This paper compares the simulation results for two stochastic optimization power market models. EMPS uses aggregation and heuristics to calculate the optimal dispatch. SOVN simulates the operation of the power system in one large linear programming problem taking each single plant and reservoir into consideration. The comparison is for a future system in Europe where wind and solar power production supplies 61 % of the annual demand. Three different alternatives for the Norwegian hydropower system is studied: present generation capacity (about 30 GW), increased capacity to about 41 GW and further to about 49 GW. The analyses show that SOVN to a larger degree than EMPS manage to increase production in high price periods and pump in low price periods. This particularly applies to the weeks before the change from the depletion (winter) to the filling (summer) period for EMPS. This better ability to exploit the flexibility of the hydropower system is due to applying a formal optimization in SOVN compared to advanced heuristics in EMPS. For regions without pumping possibility, there is less difference between the models.

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Section: Objectivementioning

confidence: 97%

“…A potential future power system in Europe is analysed by two stochastic optimisation and power market simulators, EMPS [3] and SOVN [2]. Both models maximize the expected total economic surplus in the simulated system through the dispatch of generation, given a consumption profile and transmission constraints.…”

Section: Modelsmentioning

confidence: 99%

Norway as a Battery for the Future European Power System – Comparison of Two Different Methodological Approaches

Graabak

Jaehnert

Korpås

et al. 2018

Proceedings of the 6th International Workshop on Hydro Scheduling in Competitive Electricity Markets

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“…Storage capacity is distributed between a large number of reservoirs and the flexibility is limited by many physical and judicial constraints. A hydrothermal market model combining simulation and formal optimization was implemented as described in [10] to analyze the costs and benefits for the system in this new market context. An early version of the model applied to an aggregate representation of hydro storages was presented in [11].…”

Section: Hydrothermal Market Modelmentioning

confidence: 99%

“…This paper describes briefly a new hydrothermal market simulation model [10] in Section II, focusing on how snow storage information can be modeled in Section III. In Section IV we estimate the benefit for the Nordic power system of using detailed snow storage information in Norway.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Quantifying the Importance of Snow Storage Information for the Nordic Power System

Helseth

Warland

2018

2018 15th International Conference on the European Energy Market (EEM)

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This paper describes how snow storage information can be used to improve the hydro operation strategy in a newly developed hydrothermal market simulation model. The model was applied to a detailed description of the Nordic system, and simulation results show that the value of knowledge about the snow storage in Norway corresponds to an annual average increase in Norwegian hydropower generation of 440 GWh.

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“…The prototype model SOVN (Stochastic Optimization model with individual water values and net restrictions) is a candidate for such studies [26]. This study uses one scenario for the future European power system.…”

mentioning

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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Detailed long‐term hydro‐thermal scheduling for expansion planning in the Nordic power system

Cited by 41 publications

References 33 publications

Norway as a Battery for the Future European Power System – Comparison of Two Different Methodological Approaches

Norway as a Battery for the Future European Power System – Comparison of Two Different Methodological Approaches

Modeling and Quantifying the Importance of Snow Storage Information for the Nordic Power System

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

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