首页> 外文期刊>Energy Conversion & Management >Application of fuel cell and electrolyzer as hydrogen energy storage system in energy management of electricity energy retailer in the presence of the renewable energy sources and plug-in electric vehicles
【24h】

Application of fuel cell and electrolyzer as hydrogen energy storage system in energy management of electricity energy retailer in the presence of the renewable energy sources and plug-in electric vehicles

机译:燃料电池和电解池作为氢能存储系统在存在可再生能源和插电式电动汽车的电力零售商的能源管理中的应用

获取原文
获取原文并翻译 | 示例
           

摘要

The plug-in electric vehicles and hydrogen storage systems containing electrolyzer, stored hydrogen tanks and fuel cell as energy storage systems can bring various flexibilities to the energy management problem. In this paper, selling price determination and energy management problem of an electricity retailer in the smart grid under uncertainties have been proposed. Multiple energy procurement sources containing pool market, bilateral contracts, distributed generation units, renewable energy sources (photovoltaic system and wind turbine), plug-in electric vehicles and hydrogen storage systems are considered. The scenario-based stochastic method is used for uncertainty modeling of pool market prices, consumer demand, temperature, irradiation and wind speed. In the proposed model, the selling price is determined and compared by the retailer in the smart grid in three cases containing fixed pricing, time-of-use pricing and real-time pricing. It is shown that the selling price determination based on real-time pricing and flexibilities of plug-in electric vehicles and hydrogen storage systems leads to higher expected profit. The proposed model is formulated as mixed-integer linear programming that can be solved under General Algebraic Modeling System. To validate the proposed model, three types of selling price determination under four case studies are utilized and the results are compared. (C) 2017 Elsevier Ltd. All rights reserved.
机译:插入式电动车和包含电解槽,储氢罐和燃料电池作为能量存储系统的氢存储系统可以为能源管理问题带来各种灵活性。本文提出了不确定性条件下智能电网中电商的销售价格确定和能源管理问题。考虑了多种能源采购来源,包括游泳池市场,双边合同,分布式发电装置,可再生能源(光伏系统和风力涡轮机),插电式电动汽车和储氢系统。基于情景的随机方法用于池市场价格,消费者需求,温度,辐照度和风速的不确定性建模。在建议的模型中,由零售商在智能电网中确定并比较售价,这三种情况包括固定定价,使用时间定价和实时定价。结果表明,基于实时定价以及插电式电动汽车和储氢系统的灵活性的售价确定可带来更高的预期利润。提出的模型被公式化为可以在通用代数建模系统下求解的混合整数线性规划。为了验证所提出的模型,在四个案例研究中使用了三种类型的售价确定方法,并对结果进行了比较。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号