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

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Authors

Wang, Bo
Li, Yanjing
Yang, Fei
Xia, Xiaohua

Journal Title

Journal ISSN

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Publisher

Hindawi

Abstract

hybrid 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.

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Keywords

PV-battery, Hybrid systems, Simulation results, Optimization

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Citation

Wang, 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.