Vesiarvolaskennan kehittäminen sähkömarkkinamallissa

Translated title of the contribution: Improving water values in a stochastic electricity market model

Research output: ThesisMaster's thesisTheses

Abstract

The optimal use of reservoir hydropower is a complex problem. To describe the marginal value of a reservoir connected to a hydropower plant the term water value is used. In an electricity system with both hydropower and thermal capacity, water value is equal to the absolute change of total production costs when there is one unit more water available. Water value is a function of time and reservoir filling level. The less water in the reservoirs, the more valuable it is. Annual water inflow is unequally spread over the year and therefore affects the available amount of water and the water values.
Increasing the share of wind power in electricity generation causes integration costs in the system. These costs are due to e.g. increased need for regulation. Reservoir hydropower is efficient in balancing the system with wind, but the use of reservoirs has to be re-optimised. Wilmar Joint Market Model (JMM) is a stochastic electricity market model created for the study of the effects of large scale wind integration.
In this study a new method is presented to calculate water values for the JMM using VTT’s Markkinahintamalli (MH model). MH model is a tool for predicting electricity production costs in the Nordic countries. Wilmar Long Term Model, which is the original water value component of the JMM, and a method following historical reservoir levels were used as a comparison. The advantage of the MH model is the fast optimisation of water reservoirs using stochastic dynamic programming. It is also possible to calibrate the interplay with the JMM, unlike with the other two methods. Water values are calculated from the total cost function of the MH model. Water value is the derivative of the total cost function with respect to reservoir level.
JMM was used to simulate electricity production in the Nordic countries during the year 2001. Three methods to calculate water values were compared. The most important results are marginal production costs, water reservoir levels and electricity production by generation type. These were compared with the historical data. The results with the new method are promising. The simulated reservoir levels throughout the year are very close to the historical values. Production shares are not accurate with any of the methods, but the production time series appears realistic and stable with the new MH model method.
Additional work will be needed to calibrate and enhance the JMM and the MH model. The most important areas of development are the modelling of different kinds of reservoirs within both the JMM and the MH model, the defining of realistic plant outages as well as the share of run-of-river power and the estimation of the variable costs of hydropower production in the MH model. The long-term variation of wind power generation should also be included in the MH model.
Original languageFinnish
QualificationMaster Degree
Awarding Institution
  • Tampere University of Technology (TUT)
Supervisors/Advisors
  • Korpinen, Leena, Supervisor, External person
Award date5 May 2010
Publisher
Publication statusPublished - 2011
MoE publication typeG2 Master's thesis, polytechnic Master's thesis

Fingerprint

electricity
market
water
production cost
cost
wind power
electricity generation
method
power generation
inflow

Keywords

  • water value
  • wind power
  • hydropower
  • electricity market model
  • optimisation

Cite this

Rinne, E. (2011). Vesiarvolaskennan kehittäminen sähkömarkkinamallissa. Tampere University of Technology.
Rinne, Erkka. / Vesiarvolaskennan kehittäminen sähkömarkkinamallissa. Tampere University of Technology, 2011. 58 p.
@phdthesis{537e2bf31e534ef7b6e2cf46e6fc5dbc,
title = "Vesiarvolaskennan kehitt{\"a}minen s{\"a}hk{\"o}markkinamallissa",
abstract = "The optimal use of reservoir hydropower is a complex problem. To describe the marginal value of a reservoir connected to a hydropower plant the term water value is used. In an electricity system with both hydropower and thermal capacity, water value is equal to the absolute change of total production costs when there is one unit more water available. Water value is a function of time and reservoir filling level. The less water in the reservoirs, the more valuable it is. Annual water inflow is unequally spread over the year and therefore affects the available amount of water and the water values. Increasing the share of wind power in electricity generation causes integration costs in the system. These costs are due to e.g. increased need for regulation. Reservoir hydropower is efficient in balancing the system with wind, but the use of reservoirs has to be re-optimised. Wilmar Joint Market Model (JMM) is a stochastic electricity market model created for the study of the effects of large scale wind integration. In this study a new method is presented to calculate water values for the JMM using VTT’s Markkinahintamalli (MH model). MH model is a tool for predicting electricity production costs in the Nordic countries. Wilmar Long Term Model, which is the original water value component of the JMM, and a method following historical reservoir levels were used as a comparison. The advantage of the MH model is the fast optimisation of water reservoirs using stochastic dynamic programming. It is also possible to calibrate the interplay with the JMM, unlike with the other two methods. Water values are calculated from the total cost function of the MH model. Water value is the derivative of the total cost function with respect to reservoir level. JMM was used to simulate electricity production in the Nordic countries during the year 2001. Three methods to calculate water values were compared. The most important results are marginal production costs, water reservoir levels and electricity production by generation type. These were compared with the historical data. The results with the new method are promising. The simulated reservoir levels throughout the year are very close to the historical values. Production shares are not accurate with any of the methods, but the production time series appears realistic and stable with the new MH model method. Additional work will be needed to calibrate and enhance the JMM and the MH model. The most important areas of development are the modelling of different kinds of reservoirs within both the JMM and the MH model, the defining of realistic plant outages as well as the share of run-of-river power and the estimation of the variable costs of hydropower production in the MH model. The long-term variation of wind power generation should also be included in the MH model.",
keywords = "water value, wind power, hydropower, electricity market model, optimisation",
author = "Erkka Rinne",
year = "2011",
language = "Finnish",
publisher = "Tampere University of Technology",
address = "Finland",
school = "Tampere University of Technology (TUT)",

}

Rinne, E 2011, 'Vesiarvolaskennan kehittäminen sähkömarkkinamallissa', Master Degree, Tampere University of Technology (TUT).

Vesiarvolaskennan kehittäminen sähkömarkkinamallissa. / Rinne, Erkka.

Tampere University of Technology, 2011. 58 p.

Research output: ThesisMaster's thesisTheses

TY - THES

T1 - Vesiarvolaskennan kehittäminen sähkömarkkinamallissa

AU - Rinne, Erkka

PY - 2011

Y1 - 2011

N2 - The optimal use of reservoir hydropower is a complex problem. To describe the marginal value of a reservoir connected to a hydropower plant the term water value is used. In an electricity system with both hydropower and thermal capacity, water value is equal to the absolute change of total production costs when there is one unit more water available. Water value is a function of time and reservoir filling level. The less water in the reservoirs, the more valuable it is. Annual water inflow is unequally spread over the year and therefore affects the available amount of water and the water values. Increasing the share of wind power in electricity generation causes integration costs in the system. These costs are due to e.g. increased need for regulation. Reservoir hydropower is efficient in balancing the system with wind, but the use of reservoirs has to be re-optimised. Wilmar Joint Market Model (JMM) is a stochastic electricity market model created for the study of the effects of large scale wind integration. In this study a new method is presented to calculate water values for the JMM using VTT’s Markkinahintamalli (MH model). MH model is a tool for predicting electricity production costs in the Nordic countries. Wilmar Long Term Model, which is the original water value component of the JMM, and a method following historical reservoir levels were used as a comparison. The advantage of the MH model is the fast optimisation of water reservoirs using stochastic dynamic programming. It is also possible to calibrate the interplay with the JMM, unlike with the other two methods. Water values are calculated from the total cost function of the MH model. Water value is the derivative of the total cost function with respect to reservoir level. JMM was used to simulate electricity production in the Nordic countries during the year 2001. Three methods to calculate water values were compared. The most important results are marginal production costs, water reservoir levels and electricity production by generation type. These were compared with the historical data. The results with the new method are promising. The simulated reservoir levels throughout the year are very close to the historical values. Production shares are not accurate with any of the methods, but the production time series appears realistic and stable with the new MH model method. Additional work will be needed to calibrate and enhance the JMM and the MH model. The most important areas of development are the modelling of different kinds of reservoirs within both the JMM and the MH model, the defining of realistic plant outages as well as the share of run-of-river power and the estimation of the variable costs of hydropower production in the MH model. The long-term variation of wind power generation should also be included in the MH model.

AB - The optimal use of reservoir hydropower is a complex problem. To describe the marginal value of a reservoir connected to a hydropower plant the term water value is used. In an electricity system with both hydropower and thermal capacity, water value is equal to the absolute change of total production costs when there is one unit more water available. Water value is a function of time and reservoir filling level. The less water in the reservoirs, the more valuable it is. Annual water inflow is unequally spread over the year and therefore affects the available amount of water and the water values. Increasing the share of wind power in electricity generation causes integration costs in the system. These costs are due to e.g. increased need for regulation. Reservoir hydropower is efficient in balancing the system with wind, but the use of reservoirs has to be re-optimised. Wilmar Joint Market Model (JMM) is a stochastic electricity market model created for the study of the effects of large scale wind integration. In this study a new method is presented to calculate water values for the JMM using VTT’s Markkinahintamalli (MH model). MH model is a tool for predicting electricity production costs in the Nordic countries. Wilmar Long Term Model, which is the original water value component of the JMM, and a method following historical reservoir levels were used as a comparison. The advantage of the MH model is the fast optimisation of water reservoirs using stochastic dynamic programming. It is also possible to calibrate the interplay with the JMM, unlike with the other two methods. Water values are calculated from the total cost function of the MH model. Water value is the derivative of the total cost function with respect to reservoir level. JMM was used to simulate electricity production in the Nordic countries during the year 2001. Three methods to calculate water values were compared. The most important results are marginal production costs, water reservoir levels and electricity production by generation type. These were compared with the historical data. The results with the new method are promising. The simulated reservoir levels throughout the year are very close to the historical values. Production shares are not accurate with any of the methods, but the production time series appears realistic and stable with the new MH model method. Additional work will be needed to calibrate and enhance the JMM and the MH model. The most important areas of development are the modelling of different kinds of reservoirs within both the JMM and the MH model, the defining of realistic plant outages as well as the share of run-of-river power and the estimation of the variable costs of hydropower production in the MH model. The long-term variation of wind power generation should also be included in the MH model.

KW - water value

KW - wind power

KW - hydropower

KW - electricity market model

KW - optimisation

M3 - Master's thesis

PB - Tampere University of Technology

ER -

Rinne E. Vesiarvolaskennan kehittäminen sähkömarkkinamallissa. Tampere University of Technology, 2011. 58 p.