Scheduling of smart home appliances for optimal energy management in smart grid using Harris-hawks optimization algorith
- PDF / 1,581,134 Bytes
- 28 Pages / 439.37 x 666.142 pts Page_size
- 76 Downloads / 200 Views
Scheduling of smart home appliances for optimal energy management in smart grid using Harris‑hawks optimization algorithm Souhil Mouassa1,2 · Tarek Bouktir1 · Francisco Jurado2 Received: 11 December 2019 / Revised: 2 October 2020 / Accepted: 8 October 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract With arrival of advanced technologies, automated appliances in residential sector are still in unlimited growth. Therefore, the design of new management schemes becomes necessary to be achieved for the electricity demand in an effort to ensure safety of domestic installations. To this end, the Demand Side Management (DSM) is one of suggested solution which played a significant role in micro-grid and Smart Grid systems. DSM program allows end-users to communicate with the grid operator so they can contribute in making decisions and assist the utilities to reduce the peak power demand through peak periods. This can be done by managing loads in a smart way, while keeping up customer loyalty. Nowadays, several DSM programs are proposed in the literature, almost all of them are focused on the domestic sector energy management system. In this original work, four heuristics optimization algorithms are proposed for energy scheduling in smart home, which are: bat algorithm, grey wolf optimizer, moth flam optimization, algorithm, and Harris hawks optimization (HHO) algorithm. The proposed model used in this experiment is based on two different electricity pricing schemes: Critical-Peak-Price and Real-Time-Price. In addition, two operational time intervals (60 min and 12 min) were considered to evaluate the consumer’s demand and behavior of the suggested scheme. Simulation results show that the suggested model schedules the appliances in an optimal way, resulting in electricity-cost and peaks reductions without compromising users’ comfort. Hence, results confirm the superiority of HHO algorithm in comparison with other optimization techniques. Keywords Harris hawks optimization · Moth flam optimization · Bat optimization · Appliance scheduling · Demand side management · Home energy management List of symbols L(t) Energy-consumption of all appliances at time slot t * Souhil Mouassa mouassa@univ‑setif.dz Extended author information available on the last page of the article
13
Vol.:(0123456789)
S. Mouassa et al.
Ea, t Electricity-price at any time interval t Einterru Energy consumed by interruptible appliances Eshiftable Energy consumed by non-interruptible appliances Efixed Energy consumed by fixed appliances 𝜑app Power rating of () appliance t Time-slot IN Group of interruptible appliances X(t) Status of appliances OFF\ON app Xfixed State of fixed appliances OFF\ON app XShiftable State of shiftable appliances OFF\ON app Xin State of interruptible-appliances OFF\ON t 𝜑in Power-rating of interruptible-appliances 𝜑tShiftable Power-rating of shiftable appliances 𝜑tfixed Power-rating of fixed appliances Sched Total-load scheduled per 24-h Ltotal Unsched Total-load unscheduled d
Data Loading...
