Power system flexibility need induced by wind and solar power intermittency on time scales of 1–14 days

This article describes a method to assess the needed production flexibility to adapt the power system to the production from variable renewable energy sources such as wind power and photovoltaics over time horizons of 1–14 days. Load and production data from the German power system is used to quantify the flexibility need in terms of power and energy storage requirement due to higher shares of renewable energy (20–80%). It is found that with an 80% variable renewable energy share in the German system, the average power need from flexible sources decreases by 31 GW (59%) while the peak power need only decreases by 3 GW (4%). In terms of energy, the storage need over a two week horizon increases by 2.6 TWh, which is 14% of the average load per day. If the European plans for 100 GW wind power in the North Sea region are realised, this would mean an increase of the energy storage need in the region with 2.2 TWh over a two week horizon.

[1]  G. Strbac,et al.  Value of Bulk Energy Storage for Managing Wind Power Fluctuations , 2007, IEEE Transactions on Energy Conversion.

[2]  M. Shahidehpour,et al.  Risk-Constrained Coordination of Cascaded Hydro Units With Variable Wind Power Generation , 2012, IEEE Transactions on Sustainable Energy.

[3]  David Kleinhans,et al.  Integration of Renewable Energy Sources in future power systems: The role of storage , 2014, 1405.2857.

[4]  Henrik Lund,et al.  Modelling of energy systems with a high percentage of CHP and wind power , 2003 .

[5]  Florian Steinke,et al.  Parametric study of variable renewable energy integration in Europe: Advantages and costs of transmission grid extensions , 2012 .

[6]  Peter Meibom,et al.  Wind power impacts and electricity storage – A time scale perspective , 2012 .

[7]  Deepak Divan,et al.  Evaluating the application of energy storage and day-ahead solar forecasting to firm the output of a photovoltaic plant , 2011, 2011 IEEE Energy Conversion Congress and Exposition.

[8]  Martin Greiner,et al.  Reduced storage and balancing needs in a fully renewable European power system with excess wind and solar power generation , 2011 .

[9]  Magnus Korpaas,et al.  Operation and sizing of energy storage for wind power plants in a market system , 2003 .

[10]  B. Hartmann,et al.  Cooperation of a Grid-Connected Wind Farm and an Energy Storage Unit—Demonstration of a Simulation Tool , 2012, IEEE Transactions on Sustainable Energy.

[11]  Martin Greiner,et al.  Storage and balancing synergies in a fully or highly renewable pan-European power system , 2012 .

[12]  Pierre Pinson,et al.  Dynamic sizing of energy storage for hedging wind power forecast uncertainty , 2009, 2009 IEEE Power & Energy Society General Meeting.

[13]  Martin Greiner,et al.  Seasonal optimal mix of wind and solar power in a future, highly renewable Europe , 2010 .

[14]  H. Holttinen Impact of hourly wind power variations on the system operation in the Nordic countries , 2005 .

[15]  Pengwei Du,et al.  Sizing Energy Storage to Accommodate High Penetration of Variable Energy Resources , 2012, IEEE Transactions on Sustainable Energy.

[16]  João Peças Lopes,et al.  Optimal operation and hydro storage sizing of a wind–hydro power plant , 2004 .

[17]  Bhujanga B. Chakrabarti,et al.  Wind-hydro firming with environmental constraints in New Zealand , 2011, 2011 IEEE Power and Energy Society General Meeting.

[18]  John S. Anagnostopoulos,et al.  Pumping station design for a pumped-storage wind-hydro power plant , 2007 .