On Distributed Balancing of Wind Power Forecast Deviations in Competitive Power Systems

Wind power generation does, on the one hand, contribute to a less polluting and more sustainable electric power generation mix. On the other hand, the uncertainty and the variability of the power output do challenge the operation of the power system: hourly variations in wind power generation are ha...

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Main Author: Scharff, Richard
Format: Others
Language:English
Published: KTH, Elektriska energisystem 2012
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-103608
http://nbn-resolving.de/urn:isbn:978-91-7501-514-9
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spelling ndltd-UPSALLA1-oai-DiVA.org-kth-1036082014-05-06T04:50:56ZOn Distributed Balancing of Wind Power Forecast Deviations in Competitive Power SystemsengScharff, RichardKTH, Elektriska energisystemStockholm2012balancingwind power integrationelectricity marketwind power variationswind power forecast errorsWind power generation does, on the one hand, contribute to a less polluting and more sustainable electric power generation mix. On the other hand, the uncertainty and the variability of the power output do challenge the operation of the power system: hourly variations in wind power generation are hardly predictable in a precise way. To decrease the need for balancing power, it might be beneficial from the overall system-perspective to subject power generating companies to stricter balancing incentives/rules. The way the market is designed has become crucial to exploit the existing flexibility in the power system and to increase the efficiency in its operation: inappropriate market designs can counteract all technical achievements. The work conducted for this thesis is embedded in a project on wind power integration and electricity market design following the aim to develop a simulation tool to analyse the consequences of changes in specific market rules. This thesis analyses wind power variations and forecast errors in the Swedish power system and explores the question whether internal ex-ante self-balancing can efficiently reduce the need for balancing power. Applying internal ex-ante self-balancing, every power generating company re-schedules its own power plants in order to balance its commitments towards other market actors with its newest production forecast. This is done shortly before the hour of delivery. To assess the value of this self-balancing, possible trading and scheduling decisions for power generating companies are modelled based on a hydro-thermal generation portfolio within the framework of the Nordic electricity market design. The model is based on a sequence of mixed-integer linear optimisation problems for the clearing of the different sub-markets. Both the data and the model have an hourly time resolution. In a case study, the model is applied on a simplified test-system. The need of real-time balancing by the transmission system operator, the total variable generation cost of the system, as well as the extent to which the power generating companies re-scheduled their production are then used as indicators to evaluate self-balancing. <p>QC 20121017</p>Short-term hydro power planning in power systems with large amounts of wind powerElektra 36141: Korttidsplanering av vatten-värmekraftsystem vid stora mängder vindkraft: System-perspektivetLicentiate thesis, monographinfo:eu-repo/semantics/masterThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-103608urn:isbn:978-91-7501-514-9TRITA-EE, 1653-5146 ; 2012:045application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic balancing
wind power integration
electricity market
wind power variations
wind power forecast errors
spellingShingle balancing
wind power integration
electricity market
wind power variations
wind power forecast errors
Scharff, Richard
On Distributed Balancing of Wind Power Forecast Deviations in Competitive Power Systems
description Wind power generation does, on the one hand, contribute to a less polluting and more sustainable electric power generation mix. On the other hand, the uncertainty and the variability of the power output do challenge the operation of the power system: hourly variations in wind power generation are hardly predictable in a precise way. To decrease the need for balancing power, it might be beneficial from the overall system-perspective to subject power generating companies to stricter balancing incentives/rules. The way the market is designed has become crucial to exploit the existing flexibility in the power system and to increase the efficiency in its operation: inappropriate market designs can counteract all technical achievements. The work conducted for this thesis is embedded in a project on wind power integration and electricity market design following the aim to develop a simulation tool to analyse the consequences of changes in specific market rules. This thesis analyses wind power variations and forecast errors in the Swedish power system and explores the question whether internal ex-ante self-balancing can efficiently reduce the need for balancing power. Applying internal ex-ante self-balancing, every power generating company re-schedules its own power plants in order to balance its commitments towards other market actors with its newest production forecast. This is done shortly before the hour of delivery. To assess the value of this self-balancing, possible trading and scheduling decisions for power generating companies are modelled based on a hydro-thermal generation portfolio within the framework of the Nordic electricity market design. The model is based on a sequence of mixed-integer linear optimisation problems for the clearing of the different sub-markets. Both the data and the model have an hourly time resolution. In a case study, the model is applied on a simplified test-system. The need of real-time balancing by the transmission system operator, the total variable generation cost of the system, as well as the extent to which the power generating companies re-scheduled their production are then used as indicators to evaluate self-balancing. === <p>QC 20121017</p> === Short-term hydro power planning in power systems with large amounts of wind power === Elektra 36141: Korttidsplanering av vatten-värmekraftsystem vid stora mängder vindkraft: System-perspektivet
author Scharff, Richard
author_facet Scharff, Richard
author_sort Scharff, Richard
title On Distributed Balancing of Wind Power Forecast Deviations in Competitive Power Systems
title_short On Distributed Balancing of Wind Power Forecast Deviations in Competitive Power Systems
title_full On Distributed Balancing of Wind Power Forecast Deviations in Competitive Power Systems
title_fullStr On Distributed Balancing of Wind Power Forecast Deviations in Competitive Power Systems
title_full_unstemmed On Distributed Balancing of Wind Power Forecast Deviations in Competitive Power Systems
title_sort on distributed balancing of wind power forecast deviations in competitive power systems
publisher KTH, Elektriska energisystem
publishDate 2012
url http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-103608
http://nbn-resolving.de/urn:isbn:978-91-7501-514-9
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