2015
DOI: 10.1016/j.eswa.2015.05.056
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A MOPSO method for Direct Load Control in Smart Grid

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Cited by 32 publications
(7 citation statements)
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“…Based on the multi-criteria nature of SG problems, Batista et al [30] presented an exact multi-objective strategy for the optimal demand side management. For managing loads on the demand side, Evora et al [31] adopted a direct load control (DLC) method based on multi-objective particle swarm optimization (MOPSO) algorithm to build the operation of the appliances with a power restriction. Biscarri et al [32] proposed a clustering classification algorithm for the automatic classification of electricity customers' loads, by which new customers can be assigned to a predefined set of clusters in the classification phase.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Based on the multi-criteria nature of SG problems, Batista et al [30] presented an exact multi-objective strategy for the optimal demand side management. For managing loads on the demand side, Evora et al [31] adopted a direct load control (DLC) method based on multi-objective particle swarm optimization (MOPSO) algorithm to build the operation of the appliances with a power restriction. Biscarri et al [32] proposed a clustering classification algorithm for the automatic classification of electricity customers' loads, by which new customers can be assigned to a predefined set of clusters in the classification phase.…”
Section: Literature Reviewmentioning
confidence: 99%
“…National Institute of Standards and Technology (NIST) consider the smart grid as a delineated power systems network use two-way feeding using information technology such as cyber communications security, intelligence and computing. To enhance the power quality and reliability, optimizing facilities to avert peak load challenges, and assuring power plants efficiency and capacity of power networks, the network must be resilient by disruption predictive maintenance and self-healing responding to disturbances occur due to the high penetration of renewable generators, Figure 3 explains the construction of any smart grid [17][18][19][20].…”
Section: Bulletin Of Electr Eng and Infmentioning
confidence: 99%
“…Adaptive and islanding Limited control Pervasive/extensive control system (Kim et al, 2015;Evora et al, 2015;Ahn and Peng, 2013;Jarventausta et al, 2010) Few consumer choices. Consumers are Many consumer choices.…”
Section: Failures and Blackoutsmentioning
confidence: 99%