Optimal Peak Power Shaving Through Household Appliance Scheduling in off-grid Renewable Energy System
| Autor: | Salim Haddad, Abderraouf Bouakkaz, Antonio José Gil Mena |
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| Rok vydání: | 2019 |
| Předmět: |
Computer science
Energy management business.industry 020209 energy Scheduling (production processes) 02 engineering and technology 010501 environmental sciences Solar energy 01 natural sciences Automotive engineering Energy storage Renewable energy Electricity generation Power Balance 0202 electrical engineering electronic engineering information engineering Diesel generator business 0105 earth and related environmental sciences |
| Zdroj: | 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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