DocumentCode
1768132
Title
Distributed energy resources with home energy management in smart grid
Author
Yimin Zhou ; Yanfeng Chen ; Guoqing Xu
Author_Institution
Shenzhen Inst. of Adv. Technol., Shenzhen, China
fYear
2014
fDate
1-4 June 2014
Firstpage
2578
Lastpage
2583
Abstract
In this paper, an optimal real-time home energy management to regulate the residential appliances is proposed considering renewable energy resources included in the grid. The appliances can be classified into different groups, where the time shiftable appliances are participated in the scheme to schedule their operational period via the price incentive. An improved binary swarm optimization algorithm is introduced to optimize the usage of household appliances. The parameter settings in the particle location of the algorithm are improved to increase the global searching capability and convergence speed. Besides, the renewable energy resources such as PV panel and wind turbine output are discussed. Simulation experiments are performed to prove the efficacy of the proposed algorithm.
Keywords
demand side management; domestic appliances; incentive schemes; particle swarm optimisation; renewable energy sources; search problems; smart power grids; solar cells; wind turbines; PV panel; binary swarm optimization algorithm; convergence speed; distributed energy resources; global searching capability; household appliances; optimal real-time home energy management; particle location; price incentive; renewable energy resources; residential appliances; smart grid; time shiftable appliances; wind turbine; Electricity; Generators; Home appliances; Particle swarm optimization; Real-time systems; Renewable energy sources; Household Appliance; Improved Particle Swarm Optimization; Real-time Energy Management; Renewable Energy Resources;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
Conference_Location
Istanbul
Type
conf
DOI
10.1109/ISIE.2014.6865026
Filename
6865026
Link To Document