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Hydropower planning coordinated with wind power in areas with congestion problems for trading on the spot and the regulating market
KTH, School of Electrical Engineering (EES), Electric Power Systems.
KTH, School of Electrical Engineering (EES), Electric Power Systems.
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0002-8189-2420
2009 (English)In: Electric power systems research, ISSN 0378-7796, Vol. 79, no 1, 39-48 p.Article in journal (Refereed) Published
Abstract [en]

In this paper a day-ahead planning algorithm for a multi-reservoir hydropower system coordinated with wind power is developed. Coordination applies to real situations, where wind power and hydropower are owned by different utilities, sharing the same transmission lines, though hydropower has priority for transmission capacity. Coordination is thus necessary to minimize wind energy curtailments during congestion situations. The planning algorithm accounts for the uncertainty of wind power forecasts and power market price uncertainty. Planning for the spot market and the regulating market is considered in the algorithm. The planning algorithm is applied to a case study and the results are summarized in the paper.

Place, publisher, year, edition, pages
2009. Vol. 79, no 1, 39-48 p.
Keyword [en]
Wind power production; Hydropower production; Stochastic optimization; OPERATION; SYSTEM; GENERATION; PRODUCER
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-6137DOI: 10.1016/j.epsr.2008.05.019ISI: 000261306900005Scopus ID: 2-s2.0-54049158045OAI: oai:DiVA.org:kth-6137DiVA: diva2:10763
Note
QC 20100608Available from: 2006-09-20 Created: 2006-09-20 Last updated: 2011-03-22Bibliographically approved
In thesis
1. Wind Power Integration in Power Systems with Transmission Bottlenecks
Open this publication in new window or tab >>Wind Power Integration in Power Systems with Transmission Bottlenecks
2006 (English)Doctoral thesis, comprehensive summary (Other scientific)
Abstract [en]

During the last two decades, the increase in electricity demand and environmental concern resulted in fast growth of power production from renewable sources. Wind power is one of the most efficient alternatives. Due to the rapid development of wind turbine technology and increasing size of wind farms, wind power plays a significant part in the power production mix of Germany, Spain, Denmark, and some other countries.

The best conditions for the development of wind farms are in remote, open areas with low population density. The transmission system in such areas might not be dimensioned to accommodate additional large-scale power infeed. Furthermore a part of the existing transmission capacity might already be reserved for conventional power plants situated in the same area.

In this thesis four alternatives for large-scale wind power integration in areas with transmission bottlenecks are considered. The first possibility is to revise the methods for calculation of available transmission capacity. The second solution for large-scale integration of wind power in such areas is to reinforce the network. This alternative, however, may be expensive and time consuming. As wind power production depends on the wind speed, the full load hours of wind turbine generator are only 2000-4000 hours per year. Therefore reinforcing a transmission network in order to remove a bottleneck completely is often not economically justified. Wind energy curtailments during congestion situations is then the third solution for large-scale wind power integration with less or no grid reinforcement. The fourth solution is to store excess wind energy. Pumped hydro storage or battery storage for the large-scale wind farms are still rather expensive options, but existing conventional power plants with fast production control capabilities and sufficient storage capacity, e.g., hydro power plants, could be used for this purpose.

As there is a lot of research work on the first two alternatives, the thesis provides a review and summarizes the main conclusions from the existing work. The thesis is then directed towards the development of the methods for estimation of wind energy curtailments, evaluation of wind energy storage possibility in hydro reservoirs and development of short term hydro power production planning methods, considering coordination with wind power.

Additionally in the thesis the strategy that minimizes imbalance costs of a wind power utility, trading wind power on the short term power market is elaborated and analyzed.

Place, publisher, year, edition, pages
Stockholm: KTH, 2006
Series
Trita-ETS, ISSN 1650-674X ; 2006:041
Keyword
wind power, hydro power, transmission bottlenecks, stochastic optimization
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-4108 (URN)91-7178-445-4 (ISBN)
Public defence
2006-10-03, V2, Teknikringen 76, Stockholm, 10:00
Opponent
Supervisors
Note
QC 20100608Available from: 2006-09-20 Created: 2006-09-20 Last updated: 2010-06-08Bibliographically approved
2. On optimal hydropower bidding in systems with wind power: Modeling the impact of wind power on power markets
Open this publication in new window or tab >>On optimal hydropower bidding in systems with wind power: Modeling the impact of wind power on power markets
2009 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The introduction of large amounts of wind power into power systems will increase the production uncertainties due to unforeseen wind power production variations. This will have a significant impact on the required balance management quantities. The most suitable power source to balance fast production or consumption variations is hydropower because of its flexibility and low operational costs.

This thesis addresses the problem of trading of electricity on the daily marketfrom a hydropower producer perspective in a system with large amounts of wind power. The overall aim is to present models that can be used in the trading decision process. This thesis describes models within three different areas:1. Modeling of the demand for balancing power by using deterministic andstochastic models. The stochastic models are based on stochastic differentialequations.2. Modeling of prices on the day-ahead and real-time markets using deterministic and stochastic models. The stochastic models are based on time series modeling.3. Short-term hydropower scheduling of trading decisions. These problems areformulated as stochastic optimization problems where the market prices arerandom variables.

The first two can be used to simulate the impact of wind power on various market prices, while the third simulates how the hydropower producer responds to market prices. Thereby, the thesis presents the necessary models for short-term scheduling of hydropower for a future system with significant amounts of wind power.

This thesis concludes that the proposed price models are sufficient to reflect the relevant price properties, and that the proposed short-term hydropower scheduling models can be used to simulate the actions taken by the hydropower producer in a system with significant amounts of wind power. This is also supported by the case studies in the appended publications.

Place, publisher, year, edition, pages
Stockholm: KTH, 2009. xi, 76 p.
Series
Trita-EE, ISSN 1653-5146 ; 2009:021
Keyword
Hydropower, wind power, stochastic modeling, optimization
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-10266 (URN)978-91-7415-301-9 (ISBN)
Public defence
2009-05-13, E1, Lindstedsvägen 3, KTH, Stockholm, Stockholm, 13:00 (English)
Opponent
Supervisors
Note
QC 20100804Available from: 2009-05-08 Created: 2009-04-28 Last updated: 2011-01-12Bibliographically approved

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