CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 智能化团队
Action dependent heuristic dynamic programming for home energy resource scheduling
Fuselli, Danilo1; De Angelis, Francesco1; Boaro, Matteo1; Squartini, Stefano1; Wei, Qinglai3; Liu, Derong2; Piazza, Francesco1
Source PublicationINTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
2013-06-01
Volume48Pages:148-160
SubtypeArticle
AbstractEnergy management in smart home environment is nowadays a crucial aspect on which technologies have been focusing on in order to save costs and minimize energy waste. This goal can be reached by means of an energy resource scheduling strategy provided by a suitable optimization technique. The proposed solution involves a class of Adaptive Critic Designs (ACDs) called Action Dependent Heuristic Dynamic Programming (ADHDP) that uses two neural networks, namely the Action and the Critic Network. This scheme is able to minimize a given Utility Function over a certain time horizon. In order to increase the performances of the ADHDP algorithm, suitable Particle Swarm Optimization (PSO) based procedures are used to pretrain the weights of the Action and the Critic networks. The results provided by PSO techniques and by a non-optimal baseline approach are also used as elements of comparison. Computer simulations have been carried out in different residential scenarios. An historical data set for solar irradiation has been used to simulate the behavior of a photovoltaic array to obtain renewable energy and the main grid is used to supply the load and charge the battery when necessary. The results confirm that the ADHDP is able to reduce the overall energy cost with respect to the baseline solution and the PSO techniques. Moreover, the validity of this method has also been shown in a more realistic context where only forecasted values of solar irradiation and electricity price can be used. (c) 2012 Elsevier Ltd. All rights reserved.
KeywordAdaptive Dynamic Programming Action Dependent Heuristic Dynamic Programming Particle Swarm Optimization Neural Networks Smart Grid Home Energy Management
WOS HeadingsScience & Technology ; Technology
WOS KeywordPARTICLE SWARM OPTIMIZATION ; ADAPTIVE CRITIC DESIGNS ; DEMAND-SIDE MANAGEMENT ; STORAGE SYSTEM ; BATTERY ; GENERATION ; SMART
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000315250200015
Citation statistics
Cited Times:70[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3859
Collection复杂系统管理与控制国家重点实验室_智能化团队
Affiliation1.Univ Politecn Marche, Dipartimento Ingn Informaz, Ancona, Italy
2.Univ Illinois, Dept Elect & Comp Engn, Chicago, IL USA
3.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Fuselli, Danilo,De Angelis, Francesco,Boaro, Matteo,et al. Action dependent heuristic dynamic programming for home energy resource scheduling[J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS,2013,48:148-160.
APA Fuselli, Danilo.,De Angelis, Francesco.,Boaro, Matteo.,Squartini, Stefano.,Wei, Qinglai.,...&Piazza, Francesco.(2013).Action dependent heuristic dynamic programming for home energy resource scheduling.INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS,48,148-160.
MLA Fuselli, Danilo,et al."Action dependent heuristic dynamic programming for home energy resource scheduling".INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 48(2013):148-160.
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