Particle swarm optimization for demand side management in smart grid
Citations
100 citations
Additional excerpts
...Logenthiran et al modeled a day-ahead load scheduling technique that incorporates the PSO algorithm based on the customers' inputs and forecasted hourly electricity rates.(150) In this study, the authors considered the shiftable and non-shiftable loads controlled by a central controller of the SG....
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61 citations
39 citations
33 citations
31 citations
Cites background from "Particle swarm optimization for dem..."
...This demand response strategy is called load shifting and multiple papers have dealt this with this topic [8]–[10]....
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References
35,104 citations
Additional excerpts
...Particle Swarm Optimization (PSO) was first introduced by Kennedy and Eberhart in 1995 [11] as an optimization technique where a solution of a problem or a ‘particle’ is searched in swarm of a fixed number of particles....
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1,335 citations
"Particle swarm optimization for dem..." refers background in this paper
...Some focuses on reducing the peak load, some on smoothening the load profile and bringing it close to the optimal load curve, and some on scheduling of the loads according to the time intervals where the power is most available and preferably the cheapest as well [3]....
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1,070 citations
995 citations
"Particle swarm optimization for dem..." refers background or methods in this paper
...Some of the methodologies are based on load shifting and load curtailment as seen in [4]-[8] or smart pricing methods as seen in [9]-[10]....
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...In smart pricing methods [9],[10], consumers and energy providers work together to achieve real-time prices while maximizing overall utility for consumers and minimizing total cost for energy providers....
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764 citations
"Particle swarm optimization for dem..." refers background or methods in this paper
...Some of the methodologies are based on load shifting and load curtailment as seen in [4]-[8] or smart pricing methods as seen in [9]-[10]....
[...]
...In smart pricing methods [9],[10], consumers and energy providers work together to achieve real-time prices while maximizing overall utility for consumers and minimizing total cost for energy providers....
[...]