Fuzzy Q-learning-based approach for real-time energy management of home microgrids using cooperative multi-agent system

Salari, Azam; Ahmadi, Seyed Ehsan; Marzband, Mousa; Zeinali, Mahdi

doi:10.1016/j.scs.2023.104528

Cited by 28 publications

(1 citation statement)

References 46 publications

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“…The first method was used by Gomes et al in a community in Portugal and consists of a mixed integer linear programming (MILP) algorithm, which is easier to implement than a nonlinear one, although it sacrifices human comfort conditions the most to reduce electricity bills [20]. Salari et al implemented real-time energy management algorithms in their work [21].…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of Current Smart House Solutions: The Case of Portugal

Rego,

Castro,

Silva

2023

Energies

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The world is facing many challenges to keep up with growing energy demand and greenhouse gas and pollutant emissions. A possible solution is to integrate renewable energy sources (RESs) into residences and create energy management systems (EMSs) that reduce consumption and relieve the main grid in critical hours. This paper is focused on analyzing different EMSs using solar photovoltaic (PV) modules and three energy storage systems (ESSs) to increase savings without affecting the user’s needs, with thirty-three power consumption profiles and three energy tariffs over a 25-year investment to compare which solution presents the best economic result in each of the 297 analyzed scenarios. The results show that the higher the overall daily consumption values, the greater the profits for all EMSs. The lowest demand profiles lead to the best self-consumption and self-sufficiency results. PV-only systems with a tri-hourly tariff have the best overall results. In the case of battery operation, each case should be carefully analyzed in order to choose the correct technologies and tariff. The results also allowed us to verify that even though having more PV modules generates more energy, it can make a project less economically desirable.

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Section: Literature Reviewmentioning

confidence: 99%