Benchmarking of Heuristic Algorithms for Energy Router-Based Packetized Energy Management in Smart Homes

This article presents an ER-based PEM strategy for PV integrated smart homes to jointly optimize their load scheduling delays, energy transactions cost, and battery degradation cost. The proposed approach incorporates a MA case, where, the ER acts as main selecting agent realized by all other system elements. leads combinatorial optimization problem, which can be effectively solved heuristic methods (HOMs), namely, genetic algorithm (GA), binary particle swarm (BPSO), differential evolution (DE) algorithm, harmony search (HSA). Specifically, we investigate impact of hyperparameters HOMs on designed system. Simulations are carried out multiple under varying weather conditions evaluate effectiveness in terms selected performance metrics. Results show that reduces average aggregated ensures economic benefits selling surplus energy, while meeting customers packet demand, satisfying quality-of-service, operational constraints.