Balancing Market Integration in the Northern European Continent: A 2030 Case Study

Increased production flexibility will be needed for the operation of a future power system with more uncertainty due to an increased share of uncontrollable generation from renewable sources. Wind energy is expected to cover a large portion of the future renewable generation. In this paper, a comparison is carried out between two balancing market models, simulating a non- and fully-integrated northern European market in a future 2030 scenario. Wind power is modelled based on high resolution numerical weather prediction models and wind speed measurement for actual and forecasted wind power production. The day-ahead dispatch and balancing energy markets are settled separately. First, the day-ahead market is modelled with simultaneous reserve procurement for northern continental Europe. Available transmission capacity is taken into account in the reserve procurement phase. In a second step, the balancing energy market is modelled as a real-time power dispatch on the basis of the day-ahead market clearing results. The results show the benefit of balancing market integration for the handling of variable production. Cost savings are obtained from balancing market integration due to less activation of reserves resulting from imbalance netting and increased availability of cheaper balancing resources when integrating larger geographical areas.

[1]  Y. H. Song,et al.  A Coordinated Real-Time Optimal Dispatch Method for Unbundled Electricity Markets , 2002, IEEE Power Engineering Review.

[2]  Ronnie Belmans,et al.  Electricity market integration in Europe , 2009 .

[3]  R. Hakvoort,et al.  Possible effects of balancing market integration on performance of the individual markets , 2011, 2011 8th International Conference on the European Energy Market (EEM).

[4]  Alireza Abbasy,et al.  Effect of integrating regulating power markets of Northern Europe on total balancing costs , 2009, 2009 IEEE Bucharest PowerTech.

[5]  Olav Bjarte Fosso,et al.  Flow based activation of reserves in the Nordic power system , 2010, IEEE PES General Meeting.

[6]  L. Soder,et al.  Modeling Real-Time Balancing Power Market Prices Using Combined SARIMA and Markov Processes , 2008, IEEE Transactions on Power Systems.

[7]  R. Hakvoort,et al.  A qualitative analysis of main cross-border balancing arrangements , 2010, 2010 7th International Conference on the European Energy Market.

[8]  J.M.A. Myrzik,et al.  Analysis of deployment of control power in the Netherlands , 2008, 2008 IEEE/PES Transmission and Distribution Conference and Exposition.

[9]  Christodoulos A. Floudas,et al.  Mixed Integer Linear Programming in Process Scheduling: Modeling, Algorithms, and Applications , 2005, Ann. Oper. Res..

[10]  Ana Estanqueiro,et al.  Impacts of large amounts of wind power on design and operation of power systems, results of IEA collaboration , 2008 .

[11]  Alireza Abbasy,et al.  Analysis of the impact of cross-border balancing arrangements for Northern Europe , 2011, 2011 8th International Conference on the European Energy Market (EEM).

[12]  Geir Warland,et al.  INCLUDING THERMAL UNIT START-UP COSTS IN A LONG-TERM HYDRO-THERMAL SCHEDULING MODEL , 2008 .

[13]  Lennart Söder,et al.  Hydropower planning coordinated with wind power in areas with congestion problems for trading on the spot and the regulating market , 2009 .

[14]  Ove Wolfgang,et al.  Hydro reservoir handling in Norway before and after deregulation , 2009 .

[15]  M. Carrion,et al.  A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem , 2006, IEEE Transactions on Power Systems.

[16]  K. Uhlen,et al.  Options for large scale integration of wind power , 2005, 2005 IEEE Russia Power Tech.

[17]  Klaus Skytte,et al.  The regulating power market on the Nordic power exchange Nord Pool: an econometric analysis , 1999 .

[18]  E. Grant Read,et al.  Co-Optimization of Energy and Ancillary Service Markets , 2010 .

[19]  O. S. Grande,et al.  Harmonization and integration of national balancing markets in Europe - Regulatory challenges , 2010 .

[20]  Johan Driesen,et al.  IMPACT OF WIND POWER INTEGRATION ON BELGIAN POWER RESERVE REQUIREMENTS , 2011 .

[21]  P. Meibom,et al.  A Stochastic Unit-commitment Model for the Evaluation of the Impacts of Integration of Large Amounts of Intermittent Wind Power , 2006, 2006 International Conference on Probabilistic Methods Applied to Power Systems.

[22]  T. Aigner,et al.  MODELLING WIND POWER PRODUCTION BASED ON NUMERICAL PREDICTION MODELS AND WIND SPEED MEASUREMENTS , 2011 .

[23]  Hossein Farahmand,et al.  Modelling of prices using the volume in the Norwegian regulating power market , 2009, 2009 IEEE Bucharest PowerTech.

[24]  Svetlozar T. Rachev,et al.  Balancing energy strategies in electricity portfolio management , 2011 .