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Hierarchical simulated annealing-reinforcement learning energy management for smart grids
Li X(李鑫); Zang CZ(臧传治); Qin XN(秦晓宁); Zhang, Yang; Yu, Dan
Department工业控制网络与系统研究室
Conference Name2013 International Conference on Advances in Energy and Environmental Science, ICAEES 2013
Conference DateJuly 30-31, 2013
Conference PlaceGuangzhou, China
Source PublicationAdvanced Materials Research
PublisherTrans Tech Publications Ltd,
Publication PlaceZurich-Durnten, Switzerland
2013
Pages1206-1209
Indexed ByEI ; CPCI(ISTP)
EI Accession number20134416919010
WOS IDWOS:000334131500224
Contribution Rank2
ISSN1022-6680
ISBN978-3-03785-861-5
KeywordEnergy Management Simulated Annealing Smart Power Grids
AbstractFor energy management problems in smart grid, a hybrid intelligent hierarchical controller based on simulated annealing (SA) and reinforcement learning (RL) is proposed. The SA is used to adjust the parameters of the controller. The RL algorithm shows the particular superiority, which is independent of the mathematic model and just needs simple fuzzy information obtained through trial-and-error and interaction with the environment. By means of learning procedures, the proposed controller can learn to take the best actions to regulate the energy usage for equipments with the features of high comfortable for energy usage and low electric charge meanwhile. Simulation results show that the proposed load controller can promote the performance energy usage in smart grids. © (2013) Trans Tech Publications, Switzerland.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/13873
Collection工业控制网络与系统研究室
Recommended Citation
GB/T 7714
Li X,Zang CZ,Qin XN,et al. Hierarchical simulated annealing-reinforcement learning energy management for smart grids[C]. Zurich-Durnten, Switzerland:Trans Tech Publications Ltd,,2013:1206-1209.
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