M. J. Alves, C. Henggeler Antunes, P. Carrasqueira
Bilevel programming models are developed to integrate electricity consumers’ response into the optimization of time-of-use tariffs. Currently, electricity consumers are charged at a flat or dual time-of-use tariff along the day. If consumers were offered dynamic tariffs they would expectedly adopt energy management systems capable of scheduling loads to minimize the electricity bill without jeopardizing comfort requirements. The bilevel models aim at determining an optimal pricing scheme to be established by the retailer (upper level decision maker), who wants to maximize profits, taking into account the load schedules set by consumers (lower level decision). The consumers want to minimize the electricity bill and satisfy requirements associated with the operation of loads in appropriate time slots. Evolutionary and particle swarm optimization algorithms were developed and compared in a case with different scenarios for the consumers’ preferred time slots (large vs. reduced ranges).
Keywords: Bilevel programming, evolutionary approaches, electricity demand response
Scheduled
TE2 Energy planning
May 31, 2016 4:45 PM
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