A competitive swarm optimizer-based technoeconomic optimization with appliance scheduling in domestic PV-battery hybrid systems

dc.contributor.authorWang, Bo
dc.contributor.authorLi, Yanjing
dc.contributor.authorYang, Fei
dc.contributor.authorXia, Xiaohua
dc.date.accessioned2020-07-27T11:18:32Z
dc.date.available2020-07-27T11:18:32Z
dc.date.issued2019-10-13
dc.description.abstracthybrid energy system is investigated. It incorporates the appliance time scheduling with appliance-specific power dispatch. The optimization is aimed at minimizing energy cost, maximizing renewable energy penetration, and increasing user satisfaction over a finite horizon. Nonlinear objective functions and constraints, as well as discrete and continuous decision variables, are involved. To solve the proposed mixed-integer nonlinear programming problem at a large scale, a competitive swarm optimizer-based numerical solver is designed and employed. The effectiveness of the proposed approach is verified by simulation results.en_ZA
dc.description.departmentElectrical, Electronic and Computer Engineeringen_ZA
dc.description.librarianam2020en_ZA
dc.description.sponsorshipThe National Nature Science Foundation of China and the Fundamental Research Funds for the Central Universities.en_ZA
dc.description.urihttps://www.hindawi.com/journals/complexityen_ZA
dc.identifier.citationWang, B., Li, Y., Yang, F. et al. 2019, 'A competitive swarm optimizer-based technoeconomic optimization with appliance scheduling in domestic PV-battery hybrid systems', Complexity, vol. 2019, art. ID 4824837, pp. 1-15.en_ZA
dc.identifier.issn1076-2787 (print)
dc.identifier.issn1099-0526 (online)
dc.identifier.other10.1155/2019/4824837
dc.identifier.urihttp://hdl.handle.net/2263/75450
dc.language.isoenen_ZA
dc.publisherHindawien_ZA
dc.rights© 2019 Bo Wang et al. This is an open access article distributed under the Creative Commons Attribution License.en_ZA
dc.subjectPV-batteryen_ZA
dc.subjectHybrid systemsen_ZA
dc.subjectSimulation resultsen_ZA
dc.subjectOptimizationen_ZA
dc.titleA competitive swarm optimizer-based technoeconomic optimization with appliance scheduling in domestic PV-battery hybrid systemsen_ZA
dc.typeArticleen_ZA

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