Study of the Impact of Introducing Smart Meters in the Spanish Electricity Market

 

S. Martin and M. Cabral

 

2017/04/25

Abstract

The impact of hourly consumption information provided by smart meters on the operation of a risk averse retailer in the Spanish electricity market is studied. It is assumed the retailer can manage certain amount of consumers’ demand to reduce its operation cost. It can operate in the forward market, day-ahead market and balancing market. Uncertainty in energy price in each market and demand from consumers is taken into account through scenario trees. Conditional Value at Risk is used as a risk measure. Model is posed as a linear two stages stochastic program. The model is applied to real data from the Spanish market.

Published in: Renewable Energy & Power Quality Journal (RE&PQJ, Nº. 15)
Pages: 763-768 Date of Publication: 2017/04/25
ISSN: 2172-038X Date of Current Version:

REF: 458-17

Issue Date: April 2017
DOI:10.24084/repqj15.458 Publisher: EA4EPQ

Authors and affiliations

S. Martin(1) and M. Cabral
1. Department of Electrical Engineering. Escuela Politécnica Superior, Universidad de Málag, (Spain)

Key word

Smart metering, retailer, uncertainty, demand side management, risk management.

References

[1] Javier Leiva, Alfonso Palacios, and Jos´e A. Aguado. Smart metering trends, implications and necessities: A policy review. Renewable and Sustainable Energy Reviews, 55:227–233, 2016.
[2] Shmuel S. Oren and Clay Campaign. A Business Model for Load Control Aggregation to Firm Up Renewable Capacity. Presentation at GDF SUEZ Chair, Energy Economics and Energy Risk Management, 3 July 2014.
[3] M. Carrión, A.J. Conejo, and J.M. Arroyo. Forward Contracting and Selling Price Determination for a Retailer. Power Systems, IEEE Transactions on, 22(4):2105–2114, Nov 2007.
[4] M. Carri´on, J.M. Arroyo, and A.J. Conejo. A Bilevel Stochastic Programming Approach for Retailer Futures Market Trading. Power Systems, IEEE Transactions on, 24(3):1446–1456, Aug 2009.
[5] A. Hatami, H. Seifi, and M.K. Sheikh-El-Eslami. A Stochastic-Based Decision-Making Framework for an Electricity Retailer: Time-of-Use Pricing and Electricity Portfolio Optimization. Power Systems, IEEE Transactions on, 26(4): 1808–1816, Nov 2011.
[6] R.T. Rockafellar and S. Uryasev. Optimization of conditional value-atrisk. Journal of Risk, (2):21–41, 2000.
[7] R. Tyrrell Rockafellar and S. Uryasev. Conditional value-at-risk for general loss distributions. Journal of Banking & Finance, 26(7):1443–1471, July 2002.
[8] Red El´ectrica de España (REE). Information System of the System Operator. Accessed on 20 October 2016. Available at: www.esios.ree.es.