Wang, BoLi, YanjingYang, FeiXia, Xiaohua2020-07-272020-07-272019-10-13Wang, 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. 1-15.1076-2787 (print)1099-0526 (online)10.1155/2019/4824837http://hdl.handle.net/2263/75450hybrid 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© 2019 Bo Wang et al. This is an open access article distributed under the Creative Commons Attribution License.PV-batteryHybrid systemsSimulation resultsOptimizationArticle