Demand Response Management in Power Systems Using Particle Swarm Optimization

Author

Faria, Pedro ; Vale, Zita ; Soares, Joao ; Ferreira, J. A.

Author_Institution

Polytech. of Porto, Porto, Portugal

Volume

28

Issue

4

fYear

2013

fDate

July-Aug. 2013

Firstpage

43

Lastpage

51

Abstract

Price-based demand response is applied to electric power systems. Demand elasticity and consumer response enables load reduction. The methodology is implemented in the DemSi demand response simulator. Competitive electricity markets have arisen as a result of power sector restructuration and power system deregulation. The players participating in competitive electricity markets must define strategies and make decisions using all the available information and business opportunities.

Keywords

particle swarm optimisation; power markets; power system management; DemSi demand response simulator; business opportunities; competitive electricity markets; consumer response; demand elasticity; demand response management; electric power systems; load reduction; particle swarm optimization; price-based demand response; Elasticity; Electricity; Load management; Load modeling; Optimization; Particle swarm optimization; Power systems; Elasticity; Electricity; Load management; Load modeling; Optimization; Particle swarm optimization; Power systems; demand response; distribution network; electricity markets; intelligent systems; particle swarm optimization; power systems; simulation;

fLanguage

English

Journal_Title

Intelligent Systems, IEEE

Publisher

ieee

ISSN

1541-1672

Type

jour

DOI

10.1109/MIS.2011.35

Filename

5744065