HyDesign: a tool for sizing optimization of grid-connected hybrid power plants including wind, solar photovoltaic, and lithium-ion batteries

IF 3.6 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
J. P. Murcia Leon, H. Habbou, M. Friis-Møller, Megha Gupta, Rujie Zhu, Kaushik Das
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Abstract

Abstract. Hybrid renewable power plants consisting of collocated wind, solar photovoltaic (PV), and lithium-ion battery storage connected behind a single grid connection can provide additional value to the owners and society in comparison to individual technology plants, such as those that are only wind or only PV. The hybrid power plants considered in this article are connected to the grid and share electrical infrastructure costs across different generation and storing technologies. In this article, we propose a methodology for sizing hybrid power plants as a nested-optimization problem: with an outer sizing optimization and an internal operation optimization. The outer sizing optimization maximizes the net present values over capital expenditures and compares it with standard designs that minimize the levelized cost of energy. The sizing problem formulation includes turbine selection (in terms of rated power, specific power, and hub height), a wind plant wake loss surrogate, simplified wind and PV degradation models, battery degradation, and operation optimization of an internal energy management system. The problem of outer sizing optimization is solved using a new parallel “efficient global optimization” algorithm. This new algorithm is a surrogate-based optimization method that ensures a minimal number of model evaluations but ensures a global scope in the optimization. The methodology presented in this article is available in an open-source tool called HyDesign. The hybrid sizing algorithm is applied for a peak power plant use case at different locations in India where renewable energy auctions impose a monetary penalty when energy is not supplied at peak hours. We compare the hybrid power plant sizing results when using two different objective functions: the levelized cost of energy (LCoE) or the relative net present value with respect to the total capital expenditure costs (NPV/CH). Battery storage is installed only on NPV/CH-based designs, while the hybrid design, including wind, solar, and battery, only occurs on the site with good wind resources. Wind turbine selection on this site prioritizes cheaper turbines with a lower hub height and lower rated power. The number of batteries replaced changes at the different sites, ranging between two or three units over the lifetime. A significant oversizing of the generation in comparison to the grid connection occurs on all NPV/CH-based designs. As expected LCoE-based designs are a single technology with no batteries.
HyDesign:优化风力、太阳能光伏和锂离子电池等并网混合发电厂规模的工具
摘要由风力发电、太阳能光伏发电(PV)和锂离子电池储能组成的混合可再生能源发电厂与单项技术发电厂(如只有风力发电或只有光伏发电的发电厂)相比,可为业主和社会带来更多价值。本文所考虑的混合发电厂与电网相连,并在不同的发电和储能技术之间分摊电力基础设施成本。在本文中,我们提出了一种方法,将混合发电厂的规模优化作为一个嵌套优化问题:包括外部规模优化和内部运营优化。外部规模优化使资本支出的净现值最大化,并与使平准化能源成本最小化的标准设计进行比较。规模问题的表述包括涡轮机选择(额定功率、比功率和轮毂高度)、风力发电厂唤醒损失替代物、简化的风力和光伏衰减模型、电池衰减以及内部能源管理系统的运行优化。外部尺寸优化问题采用一种新的并行 "高效全局优化 "算法来解决。这种新算法是一种基于代理的优化方法,可确保模型评估次数最少,但能确保优化的全局范围。本文介绍的方法可在名为 HyDesign 的开源工具中使用。在印度的不同地点,可再生能源拍卖会对高峰时段未供应能源的电厂处以罚款。我们比较了使用两种不同目标函数时的混合电厂规模结果:平准化能源成本 (LCoE) 或相对于总资本支出成本的相对净现值 (NPV/CH)。只有基于净现值/总成本的设计才会安装电池储能,而包括风能、太阳能和电池在内的混合设计只会出现在风力资源较好的地点。风力涡轮机的选择优先考虑轮毂高度较低、额定功率较低的廉价涡轮机。在不同的地点,更换电池的数量也会发生变化,在整个生命周期内更换两到三个电池。与并网相比,所有基于 NPV/CH 的设计都存在发电规模过大的问题。不出所料,基于 LCoE 的设计是一种没有电池的单一技术。
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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来源期刊
Wind Energy Science
Wind Energy Science GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
6.90
自引率
27.50%
发文量
115
审稿时长
28 weeks
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