Demand response is a crucial mechanism for flattening of peak loads. For its implementation, we not only require consumers who react to price changes, but also intelligent strategies to select prices. We propose a parametrised meta-strategy for dynamic pricing and identify suitable strategies for given scenarios through offline optimisation using a population model. We also model an important and novel constraint: a price cap (a maximal unit price) for consumer protection. We show in computational simulations that the maximal unit price influences the peak reduction potential of dynamic pricing. We compare our dynamic pricing approach with a constant pricing approach and show that our approach, used by a profit-optimising seller, is both peak-reducing and equally profitable.
Energy (theme 4)
IEEE
F. Lopes , Z.M. Almeida do Vale (Zita Maria) , J. Sousa , H. Coelho
dx.doi.org/10.1109/DEXA.2013.46
Intelligent en Decentraal management van netwerken en data
International Workshop on Intelligent Agent Technology, Power Systems and Energy Markets
Intelligent and autonomous systems

Höning, N.F, & La Poutré, J.A. (2013). Reducing electricity consumption peaks with parametrised dynamic pricing strategies given maximal unit prices. In F Lopes, Z.M Almeida do Vale, J Sousa, & H Coelho (Eds.), Proceedings of International Workshop on Intelligent Agent Technology, Power Systems and Energy Markets 2013 (IATEM). IEEE. doi:10.1109/DEXA.2013.46