european network codes – bidding zone...
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EUROPEAN NETWORK CODES –BIDDING ZONE REVIEWIMPACTS ON THE SEE REGION RESULTING FROM A AUSTRIAN-GERMAN MARKET SPLIT
REGULATION ON CAPACITY ALLOCATION AND CONGESTION MANAGEMENT (CACM) EC No 2015/1222 came into effect in August 2015
efficiency of the European market zones shall be evaluated every 3 years considering:market liquidity operational security & security of supply degree of uncertainty in cross–zonal capacity calculation market efficiency & needed remedial-actions resulting congestions …
ENTSO-E Bidding Zone Study with 4 expert based scenarios (2 with an AT/DE split)
Impacts on the SEE region resulting from a Austrian-German market split estimated employing the fundamental market model of APG
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• Principles:– Optimization target >> minimization of total producer cost
– Single commodity prices (no differences per bidding zone)
– Perfect market competition
– Perfect foresight for particular step/iteration of optimization
(iteration period can be adjusted)
• System:– Intel® Xeon® CPU E5-1650v2@3,5GHz ; 128GB RAM
– Matlab 2015b
– Formulation in GAMS, Solver: CPLEX (12.3)
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APG market model description
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Geographic scope
• Continental Europe
• Scandinavia & UK modeled over imports/exports
(DC connection)
• 26 Bidding Zones in NTC and flow-based
market coupling model
• PLATTS DB:
~7300 Power plants
• Full grid representation:
9000 buses, 12000 branches
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Network/ market transfer restrictions
• Different options for market model selectable
– NTC (Network Transfer Capacity) restrictions– FB parameters
• LF calculation during optimization
– DC optimal powerflow restrictions– For nodal pricing runs only (implicit redispatch)– Scalability issues with huge network structures
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Power plant database & types & efficiency
• PLATTS Power Plant database with GIS coordinates
• Down to 1MW units methods for aggregation and
scaling for small units
• Clustered into 24 different types (technology, fuel)
• Plant efficiencies according to these types and depending
on the year of construction
13.06.2016 6Source: Schroeter J. Auswirkungen des europäischen Emissionshandelssystem auf den Kraftwerkseinsatz in Deutschland, TU Berlin 2004
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Availability of power plants
• Planned outage planning through matlab preprocessing– Predefined outage durations per type– Shift outages per plant to times with minimal demand over the year– Each plant is handled separately, order is chosen randomly
• Balancing reserve– Identify plants and needed balancing capacity– Reduce availability of plants/ capacity
• Redispatch capacity provision– Provide capacity for identified redispatch plants from market
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Stepwise Optimization
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end parameter
Result #1 Result #2 Result #3 Result #n
end parameter
Optimization #1
Optimization #n
Optimization #2
Optimization #3
8 days
8 days
8 days
Time [h]
Time [h]
end parameter
starting values
7 days7 days
7 days
7 days
8 days
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Modeling renewables
• Historical based TenYearNetworkDevelopmentPlan data
• Big wind/ solar power plant sites denoted by PLATTS database• Other smaller wind and solar capacity is regionally stated• Nodal allocation of generation pro rata of plant capacity
• Spreading RunOfRiver generation profile to plants, denoted by PLATTS database
• Small hydro power capacity is spread pro rata of plant capacity of big hydro power plants
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• Using the new released TYNDP 2016 data
• Upscaling/ downscaling power plant capacity for future scenarios plus known future power plants
• Identify power plant sites for– new plant types – excessively more additional
capacity
Source: ENTSO-E TYNP
Input data: TYNDP 2016 best estimate 2020
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Definition of new bidding zones per build in selection tool
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Modelling approach
NTC based market coupling
BasecaseUsing data from the TYNDP 2016, 2020 Expected
Progress Scenariocorresponds to the thermal transfer capacity of the
cross border lines of AT-DE Congestion between the market zones of AT und DESzenarios: 6GW, 5GW, 4GW,3GW und 2GW
Analysis in the change of the producer costs in all countries in comparison to the basecase
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Frequency of 100% NTC utilization during all hours of the year 2020
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additional economic costs in 2020
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additional economic costs in 2020
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Medium cost increase in 2020 per MW
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• For the SEE region, a division of the German-Austrian market area would be a massive restriction of free trade and associated with big additional costs for all parties
• Cumulated increase in the costs of power production of up to 60 Million Euros per year for Hungary, Slovenia, Croatia, Serbia, Montenegro and the FYR of Macedonia and additional costs of up to 97 Million Euros for Austria
• Further investigation of other options to mitigate the loop flow issue, like redispach, might help to find better solutions
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Conclusion and Outlook
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Load modeling
• Historical hourly load from ENTSO-E database or extrapolation of TYNDPxxxxdata
• Nodal allocation by population densityand/or GDP (EUROSTAT NUTS data) via Matlab preprocessing algorithm
• Used resolution: LAU2 (localadministrative units)
• Population density values of each LAU2 are allocated to closest node(s)
• Confidence interval for more accuracy
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Startup/ shut down/ minimal operationtime/ minimal downtime
• Different modeling of unit startup and shut down processes available• Modeling of minimal operation-/ downtimes of power plants• Ramping constraints per power plant unit
• Degree of detail vs. simulation time– Different startup durations & costs depending on plant downtime
13.06.2016 20Source: G. Morales-Espana et al.: Thight and compact MILP formulation of start-upand shut-down ramping in unit commitment, IEE Trnasactions on power systems, vol.28, no. 2, pp. 1288-1296, May 2013