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Advisor(s)
Abstract(s)
Demand response programs and models have been
developed and implemented for an improved performance of
electricity markets, taking full advantage of smart grids.
Studying and addressing the consumers’ flexibility and network
operation scenarios makes possible to design improved demand
response models and programs. The methodology proposed in
the present paper aims to address the definition of demand
response programs that consider the demand shifting between
periods, regarding the occurrence of multi-period demand
response events. The optimization model focuses on minimizing
the network and resources operation costs for a Virtual Power
Player. Quantum Particle Swarm Optimization has been used in
order to obtain the solutions for the optimization model that is
applied to a large set of operation scenarios. The implemented
case study illustrates the use of the proposed methodology to
support the decisions of the Virtual Power Player in what
concerns the duration of each demand response event.
Description
Keywords
Demand response Load shifting Particle swarm optimization Resources use optimization Smart grids Virtual power player
Citation
Publisher
IEEE