Energy Resource Planning for Puerto Rico's Future Electrical System

被引:1
|
作者
Newlun, Cody J. [1 ]
Currie, Frank M. [1 ]
O'Neill-Carrillo, Efrain [1 ]
Bezares, Erick Aponte [1 ]
Byrne, Raymond H. [1 ]
机构
[1] Sandia Natl Labs, Albuquerque, NM 87123 USA
关键词
energy storage; mixed integer linear programming; optimization; renewable energy;
D O I
10.1109/td39804.2020.9300009
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In 2017, Hurricane Maria damaged a large portion of the Puerto Rico (PR) electrical infrastructure, leading to long-term 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 A key part of this re-development is the passing of an updated renewable portfolio standard (RPS), originally enacted in 2010, which states that by 2050 the energy needs in PR will be met entirely by renewable resources.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.
引用
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页数:5
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