Stochastic Optimization Model for Detailed Long-term Hydro Thermal Scheduling Using Scenario-tree Simulation

AbstractThe paper presents a case study comparing two models for hydro-thermal scheduling. Both models are tools that can be applied for forecasting and planning in electricity markets, taking into account inter-connected power markets and using detailed hydro modelling. The first model, which is used as the reference, is in operative use by most market players in the Nordic power market. The second model is a new prototype which is expected to give better utilization in systems with large shares of hydro power because it to a larger extent is based on formal optimization. The case study compares the models with regard to differences in hydropower scheduling, market prices and socio-economic surplus

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

acceptedVersio

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

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

Use of Parallel Processing in Applications for Hydro Power Scheduling – Current Status and Future Challenges

This paper gives an overview of models for hydro power scheduling and market simulation developed at SINTEF Energy Research. All of the models are in operative use by power producers, transmission system operators, consultants and regulators operating in the Nordic power market. Several of the models have been adapted to use of parallel processing to decrease computation time. The paper gives an overview of existing models where parallel processing has been applied. Finally future challenges and the need for higher level of parallelization are discussed and exemplified by two new models for power market simulation that use two level parallelization. Both of these models have the potential for efficient utilization of hundreds or even thousands of processors (or cores) and can be run on large compute clusters

SOVN Model Implementation : method, functionality and details

The SOVN project ("Stokastisk optimaliseringsmodell for Norden med individuelle vannverdier og nettrestriksjoner") aimed at creating a new fundamental hydro-thermal market model with detailed representation of the hydropower system. The model is based on a combination of optimization and simulation, and does not rely on aggregation of the hydropower system. It is suitable for both operational planning and expansion planning studies. This report documents the theoretical foundation, implementation and functionality available in the SOVN model at the end of the projectpublishedVersio