Home energy management based on harmony search algorithm and crow search algorithm

Abstract

In this work, we evaluated the performance of home energy management system (HEMS) using two meta-heuristic optimization algorithms: harmony search algorithm (HSA) and crow search algorithms (CSA). For electricity bill calculation we use real time pricing (RTP) signals. Our main objectives are optimization of energy consumption, electricity cost minimization and peak to average ratio (PAR) reduction. Our results depict that CSA performs better than HSA in term of cost and HSA perform better than CSA in term of PAR reduction and user comfort (UC) maximization. Results also verify that there will always be trade-off between electricity cost and waiting time.