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DOI10.1109/EEEIC.2019.8783662
Optimal Peak Power Shaving Through Household Appliance Scheduling in off-grid Renewable Energy System
Bouakkaz A.; Haddad S.; Gil Mena A.J.
发表日期2019
英文摘要One of the most issues related to solar energy is the variations in the availability of power production due to the intermittent nature of this source, Unfortunately, using a large capacity of batteries to store energy as compensation system to maintain the power balance between supply and demand are often costly, in addition, the problem of energy losses during the process of charging and discharging. The efficient scheduling for energy management in off-grid renewable energy system is an important aspect for conserve energy, limiting the problem of peak power consumption, and reduce carbon dioxide emissions. In this paper, we present a scheduling strategy of household appliances using Particle Swarm Optimisation algorithm (PSO) for shaving the peak power demand of household appliances in off-grid energy system (PV, Diesel generator and batteries) by maximizing the using of solar energy when the power generation is high. The simulations of the optimization algorithm are performed in MATLAB. The simulation results of our scheduling strategy confirm the effectiveness and efficiency of the proposed approach. IEEE.
英文关键词household appliance; off-grid system; Peak power shaving; power consumption scheduling; PSO; renewable energy
scopus关键词Carbon dioxide; Domestic appliances; Economics; Electric power utilization; Energy dissipation; Energy efficiency; Global warming; MATLAB; Particle swarm optimization (PSO); Scheduling; Secondary batteries; Solar energy; Solar power generation; Carbon dioxide emissions; Effectiveness and efficiencies; Off-grid renewable energy systems; Off-grid system; Optimization algorithms; Particle swarm optimisation algorithms; Peak power shaving; Renewable energies; Electric power transmission networks
来源期刊Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/176410
作者单位Laboratoire de Génie Mécanique et Matériaux, Université 20 Aout 1955 Skikda, Bp26 route d'el Hadaik (Skikda), Algérie, Algeria; Depertement of Electrical Ingineering, Escuela Politécnica Superior de Algeciras, Avda. Ramón Puyol, s/n, Algeciras (Cádiz), 11202, Spain
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Bouakkaz A.,Haddad S.,Gil Mena A.J.. Optimal Peak Power Shaving Through Household Appliance Scheduling in off-grid Renewable Energy System[J],2019.
APA Bouakkaz A.,Haddad S.,&Gil Mena A.J..(2019).Optimal Peak Power Shaving Through Household Appliance Scheduling in off-grid Renewable Energy System.Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019.
MLA Bouakkaz A.,et al."Optimal Peak Power Shaving Through Household Appliance Scheduling in off-grid Renewable Energy System".Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019 (2019).
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