Exploiting lion optimization algorithm for sustainable energy management system in industrial applications

Abstract

Energy is the soul of each new invention on this Bio-sphere. The upturn in this advancement and technological growth, energy resources are getting scarce. As the energy resources are limited and can not be increased in the same proportion as with the exponential rising demand, that is why, we have to manage our energy consumption smartly. An optimal integration of the Renewable energy sources (RESs) for this purpose is the need of the day. This paper proposes a bio-inspired algorithm, namely, the Lion's Algorithm (LA), for an efficient Energy Management System (EMS) in industrial areas, along with a beneficial utilization of RES and energy storing units (ESUs). Different objectives, like, Total Energy Cost (TEC), Peak to Average power Ratio (PAR), Hourly Load (HL) and maximization of end-user comfort (the reduction in waiting time) are analyzed and observed. LA algorithm is specially designed to achieve these objectives up-to maximum optimal limits. The MATLAB simulation results illustrate that, our proposed algorithm reduced the cost up to 42.66% and PAR 35.94% compared to un-scheduled and scheduled with other state-of-the-art algorithms, with an average waiting time of only 0.216 h (12.96 s).