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Optimising the deployment of renewable resources for the Australian NEM (National Electricity Market) and the effect of atmospheric length scales

机译:优化澳大利亚NEM(国家电力市场)的可再生资源的部署以及大气层尺度的影响

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摘要

This study sheds new light on the variability of wind power across the Australian NEM (National Electricity Market) and in doing so gives an insight on, the potential network configuration for a high RE (Renewable Electricity) future. We present idealised cost-minimised simulations for the NEM utilising onshore wind, large-scale solar, pumped hydro and OCGT (open cycle gas turbines) technologies. A model using gridded meteorological data from the regional ACCESS-R (Australian Community Climate and Earth-System Simulator) simulates wind and solar technology output along with generation from OCGT to meet demand in the NEM for the period 2010-2011. A cost for connecting each location to the nearest major load centre is introduced and a base scenario created from an initial connection cost of $1 M/km. A sensitivity study reveals that a cost of $8 M/km results in the contraction of all renewable resources to four major wind installations. Compared to the base scenario the four major wind locations share much of the variability in renewable energy output, demonstrating that the NEM region has four distinct wind regimes. Separated by 1,400 km these four wind installations provide an optimisation based decorrelation length for the NEM. This information is particularly useful for long-term planners of large-scale energy infrastructure. (C) 2016 Elsevier Ltd. All rights reserved.
机译:这项研究为整个澳大利亚NEM(国家电力市场)的风力发电的可变性提供了新的思路,从而为高RE(可再生电力)的未来提供了潜在的网络配置。我们利用陆上风能,大型太阳能,抽水电和OCGT(开放循环燃气轮机)技术,为NEM提供了成本最小的模拟。一个使用来自区域ACCESS-R(澳大利亚社区气候和地球系统模拟器)的网格化气象数据的模型,可以模拟风能和太阳能技术的输出以及OCGT的发电,以满足NEM在2010-2011年期间的需求。引入了将每个位置连接到最近的主要负载中心的成本,并且从初始连接成本$ 1 M / km创建了基本方案。一项敏感性研究显示,每公里800万美元的成本导致所有可再生资源都收缩到四个主要的风能设备上。与基本方案相比,四个主要风能位置在可再生能源输出中具有很大的可变性,这表明NEM地区具有四个不同的风况。这四个风装置相距1,400公里,为NEM提供了基于优化的解相关长度。该信息对于大型能源基础设施的长期计划者特别有用。 (C)2016 Elsevier Ltd.保留所有权利。

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