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Measuring the financial impact of demand response for electricity retailers

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  • Feuerriegel, Stefan
  • Neumann, Dirk

Abstract

Due to the integration of intermittent resources of power generation such as wind and solar, the amount of supplied electricity will exhibit unprecedented fluctuations. Electricity retailers can partially meet the challenge of matching demand and volatile supply by shifting power demand according to the fluctuating supply side. The necessary technology infrastructure such as Advanced Metering Infrastructures for this so-called Demand Response (DR) has advanced. However, little is known about the economic dimension and further effort is strongly needed to realistically quantify the financial impact. To succeed in this goal, we derive an optimization problem that minimizes procurement costs of an electricity retailer in order to control Demand Response usage. The evaluation with historic data shows that cost volatility can be reduced by 7.74%; peak costs drop by 14.35%; and expenditures of retailers can be significantly decreased by 3.52%.

Suggested Citation

  • Feuerriegel, Stefan & Neumann, Dirk, 2014. "Measuring the financial impact of demand response for electricity retailers," Energy Policy, Elsevier, vol. 65(C), pages 359-368.
  • Handle: RePEc:eee:enepol:v:65:y:2014:i:c:p:359-368
    DOI: 10.1016/j.enpol.2013.10.012
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    as
    1. Valenzuela, Jorge & Thimmapuram, Prakash R. & Kim, Jinho, 2012. "Modeling and simulation of consumer response to dynamic pricing with enabled technologies," Applied Energy, Elsevier, vol. 96(C), pages 122-132.
    2. Klinge Jacobsen, Henrik & Zvingilaite, Erika, 2010. "Reducing the market impact of large shares of intermittent energy in Denmark," Energy Policy, Elsevier, vol. 38(7), pages 3403-3413, July.
    3. Hirst, Eric, 1992. "Quantifying tradeoffs between costs and prices in utility DSM programs," The Electricity Journal, Elsevier, vol. 5(4), pages 16-24, May.
    4. Gyamfi, Samuel & Krumdieck, Susan & Urmee, Tania, 2013. "Residential peak electricity demand response—Highlights of some behavioural issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 71-77.
    5. Green, Richard & Vasilakos, Nicholas, 2010. "Market behaviour with large amounts of intermittent generation," Energy Policy, Elsevier, vol. 38(7), pages 3211-3220, July.
    6. Espey, James A. & Espey, Molly, 2004. "Turning on the Lights: A Meta-Analysis of Residential Electricity Demand Elasticities," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(1), pages 1-17, April.
    7. Lujano-Rojas, Juan M. & Monteiro, Cláudio & Dufo-López, Rodolfo & Bernal-Agustín, José L., 2012. "Optimum residential load management strategy for real time pricing (RTP) demand response programs," Energy Policy, Elsevier, vol. 45(C), pages 671-679.
    8. Bierbrauer, Michael & Menn, Christian & Rachev, Svetlozar T. & Truck, Stefan, 2007. "Spot and derivative pricing in the EEX power market," Journal of Banking & Finance, Elsevier, vol. 31(11), pages 3462-3485, November.
    9. Faruqui, Ahmad & Harris, Dan & Hledik, Ryan, 2010. "Unlocking the [euro]53 billion savings from smart meters in the EU: How increasing the adoption of dynamic tariffs could make or break the EU's smart grid investment," Energy Policy, Elsevier, vol. 38(10), pages 6222-6231, October.
    10. Shaw, Rita & Attree, Mike & Jackson, Tim & Kay, Mike, 2009. "The value of reducing distribution losses by domestic load-shifting: a network perspective," Energy Policy, Elsevier, vol. 37(8), pages 3159-3167, August.
    11. Luis Olmos & Sophia Ruester & Siok Jen Liong & Jean-Michel Glachant, 2010. "Energy Efficiency Actions Related to the Rollout of Smart Meters for Small Consumers," RSCAS Working Papers 2010/02fsr, European University Institute.
    12. Faruqui, A. & Hajos, A. & Hledik, R.M. & Newell, S.A., 2010. "Fostering economic demand response in the Midwest ISO," Energy, Elsevier, vol. 35(4), pages 1544-1552.
    13. Filippini, Massimo, 1995. "Swiss residential demand for electricity by time-of-use," Resource and Energy Economics, Elsevier, vol. 17(3), pages 281-290, November.
    14. Olmos, Luis & Ruester, Sophia & Liong, Siok-Jen & Glachant, Jean-Michel, 2011. "Energy efficiency actions related to the rollout of smart meters for small consumers, application to the Austrian system," Energy, Elsevier, vol. 36(7), pages 4396-4409.
    15. Denholm, Paul & Margolis, Robert M., 2007. "Evaluating the limits of solar photovoltaics (PV) in traditional electric power systems," Energy Policy, Elsevier, vol. 35(5), pages 2852-2861, May.
    16. Gottwalt, Sebastian & Ketter, Wolfgang & Block, Carsten & Collins, John & Weinhardt, Christof, 2011. "Demand side management—A simulation of household behavior under variable prices," Energy Policy, Elsevier, vol. 39(12), pages 8163-8174.
    17. Paulus, Moritz & Borggrefe, Frieder, 2011. "The potential of demand-side management in energy-intensive industries for electricity markets in Germany," Applied Energy, Elsevier, vol. 88(2), pages 432-441, February.
    18. Hirst, Eric, 1994. "Effects of utility demand-side management programs on uncertainty," Resource and Energy Economics, Elsevier, vol. 16(1), pages 25-45, March.
    19. Bernard, Jean-Thomas & Bolduc, Denis & Yameogo, Nadège-Désirée, 2011. "A pseudo-panel data model of household electricity demand," Resource and Energy Economics, Elsevier, vol. 33(1), pages 315-325, January.
    20. Woo, C.K. & Horowitz, I. & Moore, J. & Pacheco, A., 2011. "The impact of wind generation on the electricity spot-market price level and variance: The Texas experience," Energy Policy, Elsevier, vol. 39(7), pages 3939-3944, July.
    21. Dave, Saraansh & Sooriyabandara, Mahesh & Yearworth, Mike, 2013. "System behaviour modelling for demand response provision in a smart grid," Energy Policy, Elsevier, vol. 61(C), pages 172-181.
    22. Aghaei, Jamshid & Alizadeh, Mohammad-Iman, 2013. "Demand response in smart electricity grids equipped with renewable energy sources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 64-72.
    23. Kamerschen, David R. & Porter, David V., 2004. "The demand for residential, industrial and total electricity, 1973-1998," Energy Economics, Elsevier, vol. 26(1), pages 87-100, January.
    24. Milstein, Irena & Tishler, Asher, 2011. "Intermittently renewable energy, optimal capacity mix and prices in a deregulated electricity market," Energy Policy, Elsevier, vol. 39(7), pages 3922-3927, July.
    25. Walawalkar, Rahul & Fernands, Stephen & Thakur, Netra & Chevva, Konda Reddy, 2010. "Evolution and current status of demand response (DR) in electricity markets: Insights from PJM and NYISO," Energy, Elsevier, vol. 35(4), pages 1553-1560.
    26. Weber, Christoph, 2010. "Adequate intraday market design to enable the integration of wind energy into the European power systems," Energy Policy, Elsevier, vol. 38(7), pages 3155-3163, July.
    27. Ahmad Faruqui & Sanem Sergici, 2010. "Household response to dynamic pricing of electricity: a survey of 15 experiments," Journal of Regulatory Economics, Springer, vol. 38(2), pages 193-225, October.
    28. Garcia-Cerrutti, L. Miguel, 2000. "Estimating elasticities of residential energy demand from panel county data using dynamic random variables models with heteroskedastic and correlated error terms," Resource and Energy Economics, Elsevier, vol. 22(4), pages 355-366, October.
    29. Grünewald, Philipp & Torriti, Jacopo, 2013. "Demand response from the non-domestic sector: Early UK experiences and future opportunities," Energy Policy, Elsevier, vol. 61(C), pages 423-429.
    30. Chao, Hung-po, 2011. "Efficient pricing and investment in electricity markets with intermittent resources," Energy Policy, Elsevier, vol. 39(7), pages 3945-3953, July.
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