2019 IEEE Milan PowerTech 2019
DOI: 10.1109/ptc.2019.8810633
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Optimal BESS Scheduling Strategy in Microgrids Based on Genetic Algorithms

Abstract: Microgrids represent a promising concept able to solve problems specific to the traditional power systems, such as reliability and environmental issues, through a multi-sources coordination, including renewable energy integration and storage devices. In order to overcome the challenges of variation in load and generation, microgrids need efficiently operation and control. The paper proposes a scheduling framework for the microgrid operation considering renewable sources generation and battery energy storage sy… Show more

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Cited by 11 publications
(2 citation statements)
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“…2) In order to prevent the battery from overcharging or overdischarging during the charging and discharging process, it is necessary to constrain the SOC (state of charge) of the battery of the energy storage system [7] .…”
Section: Charging Load Modelingmentioning
confidence: 99%
“…2) In order to prevent the battery from overcharging or overdischarging during the charging and discharging process, it is necessary to constrain the SOC (state of charge) of the battery of the energy storage system [7] .…”
Section: Charging Load Modelingmentioning
confidence: 99%
“…Sidea et al 54 presented a genetic algorithm for scheduling a framework for microgrid operation of renewable sources and BESS. Numerous storage scenarios and generation were investigated for a better understanding of the microgrid operation to reduce the energy imbalance in the analyzed system.…”
Section: Energy Storage Systemsmentioning
confidence: 99%