Quantum-based Particle Swarm Optimization Application to Studies of Aggregated Consumption Shifting and Generation Scheduling in Smart Grids


Autoria(s): Faria, Pedro; Soares, João; Vale, Zita
Data(s)

07/05/2015

07/05/2015

09/12/2014

Resumo

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.

Identificador

http://hdl.handle.net/10400.22/5964

10.1109/CIASG.2014.7011562

Idioma(s)

eng

Publicador

IEEE

Relação

CIASG;2014

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7011562&queryText%3D10.1109%2FCIASG.2014.7011562

Direitos

closedAccess

Palavras-Chave #Demand response #Load shifting #Particle swarm optimization #Resources use optimization #Smart grids #Virtual power player
Tipo

conferenceObject