Stochastic residential energy resource scheduling by multi-objective natural aggregation algorithm
Field | Value | Language |
dc.contributor.author | Luo, Fengji | |
dc.contributor.author | Ranzi, Gianluca | |
dc.contributor.author | Liang, Gaoqi | |
dc.contributor.author | Dong, Zhao Yang | |
dc.date.accessioned | 2020-01-30 | |
dc.date.available | 2020-01-30 | |
dc.date.issued | 2018-02-01 | |
dc.identifier.citation | F. Luo, G. Ranzi, G. Liang and Z. Y. Dong, "Stochastic residential energy resource scheduling by multi-objective natural aggregation algorithm," 2017 IEEE Power & Energy Society General Meeting, Chicago, IL, 2017, pp. 1-5. doi: 10.1109/PESGM.2017.8274308 | en_AU |
dc.identifier.issn | 1944-9933 | |
dc.identifier.uri | https://hdl.handle.net/2123/21760 | |
dc.description.abstract | This paper studies the coordinated scheduling of residential energy resources in a smart home environment. The particularity of this paper is to consider the uncertainties of the must-run appliance load demand forecast errors and to addresses the residential energy resource scheduling through a multi-objective optimization approach. Multiple 1-day must-run appliance power demand scenarios are firstly generated from the house’s historical energy consumption data. Based on this, a stochastic day-ahead appliance scheduling model is formulated, aiming to minimize the 1-day energy costs while maximizing the preference of the homeowner simultaneously. A new multi-objective optimization tool, i.e. Multi-Objective Natural Aggregation Algorithm (MONAA), is proposed to solve the stochastic day-ahead appliance scheduling model. Simulations are designed for the validation of the proposed method. | en_AU |
dc.description.sponsorship | Australian Research Council | en_AU |
dc.language.iso | en_AU | en_AU |
dc.publisher | IEEE | en_AU |
dc.relation | ARC FT140100130 | en_AU |
dc.subject | demand side management | en_AU |
dc.subject | demand response | en_AU |
dc.subject | smart grid | en_AU |
dc.subject | energy management system | en_AU |
dc.subject | smart home | en_AU |
dc.subject | evolutionary computation | en_AU |
dc.title | Stochastic residential energy resource scheduling by multi-objective natural aggregation algorithm | en_AU |
dc.type | Article | en_AU |
dc.subject.asrc | 090607 | en_AU |
dc.type.pubtype | Post-print | en_AU |
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