Abstract
A technoeconomic optimization problem for a domestic grid‐connected PV‐battery 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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