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Two-stage fuzzy-logic-based for optimal energy management strategy for SOFC/PV/TEG hybrid polygeneration system with electric charging and hydrogen fueling stations
Journal of Renewable and Sustainable Energy ( IF 1.9 ) Pub Date : 2021-04-05 , DOI: 10.1063/5.0010832
Farah Ramadhani 1, 2 , Mohammad Azlan Hussain 3 , Hazlie Mokhlis 4 , Hazlee Azil Illias 4
Affiliation  

Integration between supplies for stationary power and vehicles is potentially useful for increasing the efficiency and the reliability of energy generation systems. Solid oxide fuel cell is one matured technology, which is suitable for a polygeneration system and provides an integration of supply for stationary power and vehicles. However, a combination of solid oxide fuel cell with photovoltaic thermal and thermoelectric generation increases the complexity of a polygeneration system. The system needs a management strategy for dispatching the energies produced. Therefore, in this work, a fuzzy energy management strategy was applied for this polygeneration system by considering two different configurations: an off-grid system with electric vehicle supply and an on-grid system with hydrogen vehicle supply. A two-stage fuzzy energy management strategy considering optimization and management of multi-parameters of the polygeneration components was considered. The evaluation of the optimum fuzzy was analyzed based on energy, economic, and environmental criteria. From the results obtained, the optimal strategy increased the reliability, energy, and system cost savings by 22.05%, 22.4%, and 32.58%, respectively. Moreover, the optimum management reduced the power loss of the polygeneration system by about 48.82%, which was achieved by the configuration with electric vehicles supply and off-grid connection.

中文翻译:

基于两级模糊逻辑的带充电加氢站的SOFC / PV / TEG混合多联产系统最优能源管理策略

固定电源和车辆的电源之间的集成对于提高能量生成系统的效率和可靠性可能很有用。固体氧化物燃料电池是一项成熟的技术,适用于多联产系统,并提供固定电源和车辆的电源集成。然而,固体氧化物燃料电池与光伏热和热电发电的组合增加了多联产系统的复杂性。该系统需要一种管理策略来分配产生的能量。因此,在这项工作中,通过考虑两种不同的配置,对这种多联产系统应用了模糊能源管理策略:带有电动汽车电源的离网系统和带有氢车辆电源的并网系统。考虑了考虑多联产组件多参数优化和管理的两阶段模糊能源管理策略。基于能源,经济和环境标准,对最佳模糊度的评估进行了分析。根据获得的结果,最佳策略分别将可靠性,能耗和系统成本节省分别提高了22.05%,22.4%和32.58%。此外,最佳管理将多联产系统的功率损耗降低了约48.82%,这是通过配置电动汽车电源和离网连接实现的。最佳策略分别将可靠性,能源和系统成本节省分别提高了22.05%,22.4%和32.58%。此外,最佳管理将多联产系统的功率损耗降低了约48.82%,这是通过配置电动汽车电源和离网连接实现的。最佳策略分别将可靠性,能源和系统成本节省分别提高了22.05%,22.4%和32.58%。此外,最佳管理将多联产系统的功率损耗降低了约48.82%,这是通过配置电动汽车电源和离网连接实现的。
更新日期:2021-05-03
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