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Demand Response Management in Power Systems Using Particle Swarm Optimization
July-Aug. 2013 (vol. 28 no. 4)
pp. 43-51
Pedro Faria, Polytechnic of Porto
Zita Vale, Polytechnic of Porto
Joao Soares, Polytechnic of Porto
Judite Ferreira, Polytechnic of Porto
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.
Index Terms:
Load management,Electricity,Load modeling,Elasticity,Power systems,Optimization,Particle swarm optimization,simulation,Load management,Electricity,Load modeling,Elasticity,Power systems,Optimization,Particle swarm optimization,intelligent systems,demand response,distribution network,electricity markets,particle swarm optimization,power systems
Citation:
Pedro Faria, Zita Vale, Joao Soares, Judite Ferreira, "Demand Response Management in Power Systems Using Particle Swarm Optimization," IEEE Intelligent Systems, vol. 28, no. 4, pp. 43-51, July-Aug. 2013, doi:10.1109/MIS.2011.35
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