A Competitive Swarm Optimizer-Based Technoeconomic Optimization with Appliance Scheduling in Domestic PV-Battery Hybrid Systems

Abstract EN

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.