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Optimization and simulation of smart grid distributed generation: A case study of university campus

机译:智能电网分布式发电的优化与仿真-以大学校园为例

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Issues like economic growth and climate change demands immediate attention towards present sources of electrical energy. The use of renewable energy based Distributed Generation (DG) in the form of solar PV can be possible and economic solution to tackle these issues. Smart grid is the modernization of present grid infrastructure and DG is integral part of it. The DG based smart grid as micro grid can be implemented in different areas of the country for sustainable future. The Indian government has also made major changes in their renewable energy policy and introduces subsidies schemes like roof top PV and green campuses for promoting clean energy. In this paper, the implementation of this concept in university campus is proposed with the help of Homer software. The Homer simulates the alternative configurations with sensitivity variables and optimum solution has been determined for cost effectiveness.
机译:经济增长和气候变化等问题需要立即关注当前的电能来源。以可再生能源为基础的分布式发电(DG)形式的太阳能PV的使用可能是解决这些问题的经济解决方案。智能电网是当前电网基础设施的现代化,而分布式发电是其中不可或缺的一部分。基于DG的智能电网(如微电网)可以在该国的不同地区实施,以实现可持续的未来。印度政府还对可再生能源政策进行了重大修改,并引入了补贴计划,例如屋顶光伏发电和绿色校园,以促进清洁能源的发展。在本文中,借助于Homer软件提出了在大学校园中实现这一概念的建议。 Homer用灵敏度变量模拟替代配置,并已确定最佳解决方案以实现成本效益。

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