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Stochastic Programming Based Model of An Electricity Retailer Considering Uncertainty Associated with Electric Vehicles Charging

Pavan Balram (Institutionen för energi och miljö, Elteknik) ; Tuan Le (Institutionen för energi och miljö, Elteknik) ; Lina Bertling (Institutionen för energi och miljö, Elteknik)
2013 10th International Conference on the European Energy Market Conference (EEM13) (2165-4077). p. 8. (2013)
[Konferensbidrag, refereegranskat]

In this paper, a mathematical model is proposed for optimization of the portfolio of an electricity retailer in the forward and spot markets considering flexibility offered by electric vehicles (EV). The model provides a guideline to the elec- tricity retailer for aggregated scheduling of EV battery charging, contracting of power in the forward market and setting of retail prices for customers under fixed and variable price electricity retail contracts. The objective of the model is to maximize the retailer’s expected profit. A stochastic programming approach is used to account for the uncertainties associated with spot price, customers’ demand and EV demand. The model is applied to a case study using data from the Nordic electricity markets, future scenarios for EVs in Sweden and an electricity retailer in Sweden. Results indicate that cost savings from flexibility of EV demand would increase with increasing EV penetration level and the number of customers with variable price contracts as opposed to fixed price contracts. It is also found that the retailer’s expected profits would increase with a greater share of variable price contracts.

Nyckelord: Electricity Retailer, Aggregator, Electric Vehi- cles, Stochastic Programming, Nordic Electricity Market

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Denna post skapades 2013-05-31. Senast ändrad 2016-04-29.
CPL Pubid: 177725


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Institutioner (Chalmers)

Institutionen för energi och miljö, Elteknik (2005-2017)


Hållbar utveckling

Chalmers infrastruktur