Abstract

A microgrid usually consists of a series of distributed generation resources, energy storage system and loads which can be employed in two ways: connected to the grid or “island mode.” Also, using microgrids can lead to significant advantages for both the consumer and power generating companies. Microgrids can be an appropriate way for power generation which considers the economic and environmental issues of these regions. In this paper, the determination of the optimal size of a combined system, independent from the grid, is reviewed. The combined system under study consists of wind turbines, solar arrays, fuel cells with hydrogen storage and diesel generator; For uncertainty modeling of power generation of the wind turbine and solar array, a scenario-based algorithm is used. The goal of this research is to minimize the system cost and to reduce environmental pollution during the study. Also, system costs include initial investment costs, replacement cost, the annual cost of repair and maintenance of system components, and the cost of diesel generator’s fuel consumption. GAMS software, which is one of the most powerful commercial optimization software, has been used for optimization purposes in the present study.

中文翻译：

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基于场景树的考虑不确定单元的微电网分布式发电资源规模优化

摘要

微电网通常由一系列分布式发电资源，能量存储系统和负载组成，可以通过两种方式使用：连接到电网或“孤岛模式”。同样，使用微电网可以为消费者和发电公司带来显着的优势。考虑到这些地区的经济和环境问题，微电网可能是一种合适的发电方式。在本文中，对独立于网格的组合系统的最佳尺寸的确定进行了回顾。研究中的组合系统包括风力涡轮机，太阳能电池板，带储氢装置的燃料电池和柴油发电机；对于风力涡轮机和太阳能电池组发电的不确定性建模，使用基于场景的算法。这项研究的目的是在研究期间最大程度地降低系统成本并减少环境污染。另外，系统成本包括初始投资成本，更换成本，系统组件的年度维修成本以及柴油发电机的燃油消耗成本。GAMS软件是最强大的商业优化软件之一，在本研究中已用于优化目的。