Value of demand flexibility on spot and reserve electricity markets in future power system with increased shares of variable renewable energy

Abstract The growing share of variable renewable energy (VRE) generation and the reduction in conventional power plant capacity creates challenges for power system operation. Increased variability of production causes increased reserve requirements while the number of reserve providers is reduced. For this reasons, power systems' flexibility is a major topic of research nowadays, and electricity demand is considered one of the most valuable flexibility sources. This paper analyzes the impacts of demand flexibility participation in spot and reserve markets in the German power system in 2030. We model the power system dispatch with and without reserve requirements using a partial equilibrium linear programming model, BalmoREG, to quantify the cost of reserves, the value of demand flexibility, and the optimal allocation between the spot market and reserve market. We find that the costs of providing reserves add 0.6–8.6% to the total system cost in the German 2030 power system. According to sensitivity studies, the cost of reserve provision increases substantially with reduced baseload shares or increased VRE shares, while transmission opportunities to neighboring countries reduce the cost. The modelled electricity price is especially sensitive to the addition of reserve requirements in situations of either very high VRE or very low VRE production.

[1]  J. Katz,et al.  The impact of residential demand response on the costs of a fossil-free system reserve , 2016 .

[2]  P. Ferrao,et al.  The impact of demand side management strategies in the penetration of renewable electricity , 2012 .

[3]  Lion Hirth,et al.  Balancing power and variable renewables: Three links , 2015 .

[4]  L. H. Hansen,et al.  Value of flexible consumption in the electricity markets , 2014 .

[5]  Mark O'Malley,et al.  Demand side resource operation on the Irish power system with high wind power penetration , 2011 .

[6]  Hans Christian Gils,et al.  Assessment of the theoretical demand response potential in Europe , 2014 .

[7]  Michael Milligan,et al.  Flexibility Reserve Reductions from an Energy Imbalance Market with High Levels of Wind Energy in the Western Interconnection , 2011 .

[8]  Paul Denholm,et al.  Fundamental Drivers of the Cost and Price of Operating Reserves , 2013 .

[9]  Adrian Ilinca,et al.  Energy storage systems—Characteristics and comparisons , 2008 .

[10]  Michael Milligan,et al.  Operating Reserves and Wind Power Integration: An International Comparison , 2010 .

[11]  Peter Lund,et al.  Review of energy system flexibility measures to enable high levels of variable renewable electricity , 2015 .

[12]  Hyung-Geun Kwag,et al.  Optimal combined scheduling of generation and demand response with demand resource constraints , 2012 .

[13]  Machteld van den Broek,et al.  Impacts of large-scale Intermittent Renewable Energy Sources on electricity systems, and how these can be modeled , 2014 .

[14]  D. Lew,et al.  The Western Wind and Solar Integration Study Phase 2 , 2013 .

[15]  Jacob Østergaard,et al.  Demand as frequency controlled reserve: implementation and practical demonstration , 2011, 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies.

[16]  Jakob Stoustrup,et al.  Integration of Flexible Consumers in the Ancillary Service Markets , 2014 .

[17]  Zbigniew A. Styczynski,et al.  Potential of demand side integration to maximize use of renewable energy sources in Germany , 2015 .

[18]  Åsa Grytli Tveten,et al.  Increased demand-side flexibility: market effects and impacts on variable renewable energy integration , 2016 .