Title :
Optimized Demand Response Bidding in the Wholesale Market under Scenarios of Prices and Temperatures
Author :
Iria, J.P. ; Soares, F.J. ; Bessa, R.J.
Author_Institution :
Inst. de Eng. de Sist. e Comput., INESC TEC, Porto, Portugal
fDate :
June 29 2015-July 2 2015
Abstract :
Demand aggregators are new market players that represent a group of consumers in the electricity market. This paper proposes an aggregator model responsible for gathering residential and commercial consumers, which has the role of managing their flexible consumption in the day-ahead electricity market. A methodology to optimize the aggregator´s bids is also presented. It optimizes the scheduling of the flexible loads taking simultaneously into account the consumers´ preferences and temporal trajectories of forecasted outdoor temperatures and electricity prices. The proposed methodology was tested using a case study with 200 residential and commercial consumers from the Iberian market.
Keywords :
load forecasting; optimisation; power markets; pricing; Iberian market; aggregator bids optimization; commercial consumers; consumers preferences; day-ahead electricity market; demand aggregators; flexible load scheduling optimization; optimized demand response bidding; price scenario; residential consumers; temperature scenario; wholesale market; Electricity supply industry; Energy management; Mathematical model; Predictive models; Trajectory; Wind forecasting; Aggregator; demand response; probabilistic scenarios; wholesale market;
Conference_Titel :
PowerTech, 2015 IEEE Eindhoven
Conference_Location :
Eindhoven
DOI :
10.1109/PTC.2015.7232428