Least Cost Microgrid Resource Planning for the Natural Energy Laboratory of Hawaii Authority Research Park

A. Headley, B. Schenkman, K. Olson, L. Sombardier
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Abstract

The Natural Energy Laboratory of Hawaii Authority’s (NELHA) campus on The Island of Hawai’i supplies resources for a number of renewable energy and aquaculture research projects. There is a growing interest at NELHA to convert the research campus to a 100% renewable, islanded microgrid to improve the resiliency of the campus for critical ocean water pumping loads and to limit the increase in the long-term cost of operations. Currently, the campus has solar array to cover some electricity needs but scaling up this system to fully meet the needs of the entire research campus will require significant changes and careful planning to minimize costs. This study will investigate least-cost solar and energy storage system sizes capable of meeting the needs of the campus. The campus is split into two major load centers that are electrically isolated and have different amounts of available land for solar installations. The value of adding an electrical transmission line if NELHA converts to a self-contained microgrid is explored by estimating the cost of resources for each load center individually and combined. Energy storage using lithium-ion and hydrogen-based technologies is investigated. For the hydrogen-based storage system, a variable efficiency and fixed efficiency representation of the electrolysis and fuel cell systems are used. Results using these two models show the importance of considering the changing performance of hydrogen systems for sizing algorithms.
夏威夷权威研究园自然能源实验室的最低成本微电网资源规划
夏威夷当局的自然能源实验室(NELHA)位于夏威夷岛的校园为许多可再生能源和水产养殖研究项目提供资源。NELHA越来越有兴趣将研究园区转变为100%可再生的孤岛微电网,以提高园区对关键海水泵送负荷的弹性,并限制长期运营成本的增加。目前,校园有太阳能电池阵列来满足一些电力需求,但扩大这个系统以完全满足整个研究校园的需求将需要重大的改变和仔细的规划,以最大限度地降低成本。这项研究将调查能够满足校园需求的成本最低的太阳能和储能系统尺寸。校园被分成两个主要的负荷中心,它们是电隔离的,并且有不同数量的可用土地用于太阳能装置。如果NELHA转换成一个独立的微电网,增加输电线路的价值是通过估算每个负载中心单独和组合的资源成本来探索的。研究了锂离子和氢基储能技术。对于氢基存储系统,电解和燃料电池系统的变效率和固定效率表示被使用。使用这两个模型的结果表明,考虑氢气系统性能变化对分级算法的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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