Quantum-based PSO applied to hour-ahead scheduling in the context of smart grid management

Author

Soares, Joao ; Silva, Marco ; Vale, Zita ; de Moura Oliveira, P.B.

Author_Institution

GECAD - Knowledge Engineering and Decision-Support Research Centre, Polytechnic of Porto (ISEP/IPP), 4200-072, Portugal

fYear

2015

fDate

June 29 2015-July 2 2015

Firstpage

1

Lastpage

6

Abstract

This paper presents a Quantum Particle Swarm Optimization (QPSO) applied to hour-ahead scheduling in Smart Grid (SG). The unforeseen events not considered in day-ahead scheduling, must be overcome when approaching intraday operation. This implies new constraints in hour-ahead formulation. The developed methodology aims to complement the day-ahead scheduling tools already available on the literature. The unforeseen events in the hour-ahead can include change of forecasted load demand, market prices and availability of renewable generation. The QPSO solves the problem in adequate execution time under the hour-ahead time scale. This is demonstrated using a scenario with high penetration of distributed generation and gridable vehicles. Furthermore, a comparison with GAMS is presented.

Keywords

Discharges (electric); Electric vehicles; Energy resources; Load management; Partial discharges; Wind forecasting; Electric Vehicles; Energy Resource Management; Hour-Ahead Scheduling; Quantum PSO; Smart Grid;

fLanguage

English

Publisher

ieee

Conference_Titel

PowerTech, 2015 IEEE Eindhoven

Conference_Location

Eindhoven, Netherlands

Type

conf

DOI

10.1109/PTC.2015.7232513

Filename

7232513