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Multi-objective IGDT-based scheduling of low-carbon multi-energy microgrids integrated with hydrogen refueling stations and electric vehicle parking lots
Sustainable Cities and Society ( IF 11.7 ) Pub Date : 2021-07-25 , DOI: 10.1016/j.scs.2021.103197
Amin Mansour-Saatloo , Ramin Ebadi , Mohammad Amin Mirzaei , Kazem Zare , Behnam Mohammadi-Ivatloo , Mousa Marzband , Amjad Anvari-Moghaddam

There is little room for doubt that distributed generation systems including renewable energy, microgrids (MGs), combined heat and power (CHP) units and storage systems have been of particular importance in sustaining low-carbon and cost-effective operations due to the tremendous increase in greenhouse gas emissions in recent years. Additionally, hydrogen-based power technologies have earned a great deal of publicity that hydrogen can serve as a zero-emission fuel for electrical power and thermal energy production. In this regard, the current paper proposes an optimal energy management strategy for a combined hydrogen, heat, and power MG (CHHP-MG) with hydrogen fueling stations (HFSs) for hydrogen vehicles (HVs), electric vehicle parking lots (EVPLs) and fuel cell micro-CHP (FC-MCHP) units to meet power and heat requirements. In order to reduce the regular operating expense, the presented CHHP-MG could also communicate with both electricity and hydrogen markets. In addition, to compensate for the associated heat and hydrogen requirements, power-to-X technologies such as the power to heat (P2HT) and power to hydrogen (P2H) are integrated. In order to improve flexibility and build a low carbon MG, multi-energy storage (MES) system along with heat and power demand response (HPDR) programs will be taken into consideration. As the uncertainties associated with the predicted wind and photovoltaic power have a major impact on the energy management of the CHHP-MG, a multi-objective information gap decision theory (IGDT)-based robust approach is applied as an effective non-probabilistic modeling technique for handling such uncertainties. The empirical results show that the proposed model can efficiently handle the uncertainties and reduce the overall operation cost by 76.35%.



中文翻译:

基于IGDT的加氢站、电动车停车场一体化低碳多能源微电网多目标调度

毫无疑问,包括可再生能源、微电网 (MG)、热电联产 (CHP) 机组和存储系统在内的分布式发电系统在维持低碳和具有成本效益的运营方面具有特别重要的意义。近年来的温室气体排放量。此外,基于氢的动力技术赢得了大量宣传,氢可以作为电力和热能生产的零排放燃料。在这方面,本文提出了一种最佳能源管理策略,用于氢、热和动力组合 MG(CHHP-MG)与氢燃料汽车(HV)、电动汽车停车场(EVPL)和加氢站(HFS)。燃料电池微型热电联产 (FC-MCHP) 装置,以满足功率和热量要求。为了减少常规运营费用,展示的 CHHP-MG 还可以与电力和氢市场进行通信。此外,为了补偿相关的热量和氢气需求,集成了电转 X 技术,例如电热 (P2HT) 和电氢 (P2H)。为了提高灵活性并构建低碳MG,将考虑多能源存储(MES)系统以及热电需求响应(HPDR)计划。由于与预测的风能和光伏功率相关的不确定性对 CHHP-MG 的能源管理有重大影响,因此应用基于多目标信息差距决策理论 (IGDT) 的稳健方法作为有效的非概率建模技术用于处理此类不确定性。

更新日期:2021-08-05
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