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Optimal operation of micro-grid in presence of renewable resources and compressed air energy storage

机译:在存在可再生资源和压缩空气储能的情况下微电网的最佳运行

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Environmental pollution, global warming and incremental demand to electricity have inclined the countries to take advantages of renewable energy resources. The microgrids have a great potential of utilization of renewable generating units. In this respect, regard to high efficiency and considerable generating scale of wind resources, the utilization of wind energy has drawn great attention. Nevertheless, the intermittent nature of wind is the biggest obstacle to further utilization of this resource in power system. In this paper, energy storage units are introduced as the most effective option to battle with this problem and to redress the imbalance of wind generation. The energy storage units have also some benefits for power system operation by preventing commitment of expensive units during peak hours. In this essay, a micro consisted of distributed generating units and renewable resources are adopted. The objective function of optimization problem is reduction of operation cost of microgrid. An IEEE 33-bus distribution test system is selected to simulate the scenarios. The optimization problem is a mixed integer programming (MIP) model, which is solved by use of GAMS software. In this study, two scenarios are defined, in which the system is modeled with and without presence of compressed air energy storage (CAES). The results show that operation cost is decreased. Moreover, the curtailment of wind units is redressed.
机译:环境污染,全球变暖和电力需求的增长使这些国家倾向于利用可再生能源。微电网具有利用可再生发电机组的巨大潜力。在这方面,考虑到风能的高效率和相当大的发电规模,风能的利用已经引起了极大的关注。然而,风的间歇性是在电力系统中进一步利用该资源的最大障碍。在本文中,引入储能单元是解决此问题和解决风力发电不平衡问题的最有效选择。储能单元还可以防止高峰时段承诺使用昂贵的单元,因此对电力系统运行也有一些好处。本文采用由分布式发电机组和可再生资源组成的微观结构。优化问题的目标功能是降低微电网的运营成本。选择了IEEE 33总线配电测试系统来模拟场景。优化问题是一个混合整数规划(MIP)模型,可以通过使用GAMS软件来解决。在这项研究中,定义了两种方案,其中在有压缩空气储能(CAES)和不存在压缩空气储能(CAES)的情况下对系统进行建模。结果表明,降低了运营成本。此外,减少了风力发电机组的限制。

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