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Optimal energy management of the smart parking lot under demand response program in the presence of the electrolyser and fuel cell as hydrogen storage system

机译:在电解槽和燃料电池作为储氢系统的情况下,根据需求响应程序对智能停车场进行最佳能源管理

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Nowadays, utilization of distributed generation sources and electric vehicles (EVs) are increased to reduce air pollution and greenhouse gas emissions. Also, intelligent parking lots (IPL) are increased in response to the increase in the number of EVs. Therefore, optimal operation of distributed generation sources and IPL in the power market without technical scheduling will follow some economic problems for the owner of IPL and some technical problems for the operator of distribution network. Therefore, in this paper, an optimal energy management has been proposed for an IPL which includes renewable energy sources (Wind turbine and photovoltaic system) and local dispatchable generators (micro-turbines). Also, determination of optimal charge and discharge powers of hydrogen storage system (HSS) containing electrolyser, hydrogen storage tanks and fuel cell has been considered in the proposed model. Furthermore, the tim-of-use rates of demand respdhse program are proposed to flatten the load curve to reduce the operation cost of IPL. The objective function includes minimizing the operation costs of upstream grid and local dispatchable generators as well as charging and discharging cost of IPL subject to the technical and physical constraints under demand response program in the presence of MSS. The proposed model is formulated as a mixed -integer linear programming and solved using GAMS optimization software under CPLEX solver. Four case studies are investigated to validate the proposed model to show the positive effects of demand response program and HSS on reduction of IPL's operation cost. (C) 2017 Elsevier Ltd. All rights reserved.
机译:如今,分布式发电源和电动汽车(EV)的利用率不断提高,以减少空气污染和温室气体排放。此外,随着电动汽车数量的增加,智能停车场(IPL)也有所增加。因此,在没有技术调度的情况下,电力市场中分布式发电源和IPL的最佳运行将给IPL所有者带来一些经济问题,而给配电网络运营商带来一些技术问题。因此,在本文中,针对IPL提出了一种最佳的能源管理,该IPL包括可再生能源(风力涡轮机和光伏系统)和本地可调度发电机(微型涡轮机)。此外,在所提出的模型中已经考虑了确定包含电解槽,储氢罐和燃料电池的储氢系统(HSS)的最佳充电和放电功率。此外,提出了按需使用率的需求响应程序来平整负载曲线,以降低IPL的运营成本。目标功能包括:在存在MSS的情况下,根据需求响应程序中的技术和物理约束,将上游电网和本地可调度发电机的运营成本降至最低,并将IPL的充电和放电成本降至最低。所提出的模型被公式化为混合整数线性规划,并在CPLEX求解器下使用GAMS优化软件进行求解。研究了四个案例研究,以验证所提出的模型,以显示需求响应计划和HSS对降低IPL运营成本的积极影响。 (C)2017 Elsevier Ltd.保留所有权利。

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