Title :
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
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;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2011.35
