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Energy Resource Planning for Puerto Rico's Future Electrical System

机译:波多黎各未来电气系统的能源资源规划

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In 2017, Hurricane Maria damaged a large portion of the Puerto Rico (PR) electrical infrastructure, leading to longterm outages across many regions. Therefore, transformation and re-development of the island's grid system is of high interest. A key part of this re-development is the passing of an updated renewable portfolio standard (RPS), originally enacted in 2010, which states that by 2050 the energy needs in PR will be met entirely by renewable resources. The purpose of this paper is to determine the amount of renewable generation and energy storage necessary to meet these energy goals. An increase in renewable generation within any system poses several difficulties such as meeting night-time demand and handling the operation of the existing thermal fleet. A mixed-integer linear program optimization is formulated to identify the required investments in photovoltaic solar and energy storage to meet the RPS and to minimize the investment and operational costs. Within this RPS case study a sensitivity analysis is performed with different energy storage investment costs scenarios.
机译:2017年,飓风玛丽亚损坏了大量波多黎各(PR)电气基础设施,导致许多地区的长期停电。因此,岛屿网格系统的转型和重新开发具有高兴趣。该重新开发的一个关键部分是通过2010年最初颁布的更新的可再生组合标准(RPS)的传递,这使得公关的能源需求将由可再生资源完全满足。本文的目的是确定满足这些能量目标所需的可再生生成和能量存储量。任何系统内的可再生生成的增加会带来几个困难,例如满足夜间需求和处理现有热舰队的操作。配制混合整数线性节目优化以确定光伏太阳能和能量存储中所需的投资,以满足RP,并最大限度地减少投资和运营成本。在该RPS案例研究中,研究具有不同的能量存储投资成本场景进行敏感性分析。

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