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Wind speed and electricity demand correlation analysis in the Australian National Electricity Market: determining wind turbine generators’ ability to meet electricity demand without energy storage

机译:澳大利亚国家电力市场中的风速和电力需求相关性分析:确定风力涡轮发电机在没有储能的情况下满足电力需求的能力

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摘要

This paper analyses wind speed and electricity demand correlation to determine the ability of wind turbine generators to meet electricity demand in the Australian National Electricity Market (NEM) without the aid of energy storage. With the proposed increases in the number of windfarms to meet the Large-scale Renewable Energy Target (LRET), this correlation study is formative to identifying price and power stability issues and determining what transmission structure is required to best facilitate the absorption of wind power. We calculate correlations between wind speed and electricity demand data for the years 2010 to 2012 using Weather Research & Forecasting Model (WRF 2015) wind speed data and Australian Energy Market Operator (AEMO) electricity demand data. We calculate state level correlations to identify potential bottlenecks in the interconnectors that link each state’s transmission network. The transmission lines within each state tend to be less of a constraint. We find a small temporal increase in correlation between electricity demand and wind speed. This we attribute to an unwitting renewable energy portfolio effect with the increase in solar PV and solar water heating. Strengthening this portfolio effect is the decline in manufacturing that makes household domestic demand relatively larger. Comparing our study with an earlier correlation analysis by Bannister and Wallace (2011) tends to confirm our initial findings. We find the most advantage from the lack of correlation between wind speed between the NEM’s peripheral states including Queensland, South Australia and Tasmania. Additionally, the correlation between electricity demand and wind speed is strongest between these states. Similarly, we find the most advantage from the lack of correlation between electricity demand in each of these states. The self-interest groups within Victoria and New South Wales and the transmission companies geographically contained within each state hinders the development of optimal interconnector capacity to maximise the benefit of wind power in the peripheral states and the NEM generally.
机译:本文分析了风速和电力需求的相关性,以确定风力发电机在不借助储能的情况下满足澳大利亚国家电力市场(NEM)电力需求的能力。随着拟议增加风力发电场的数量以满足大型可再生能源目标(LRET),这项相关研究有助于确定价格和电力稳定性问题,并确定需要哪种传输结构以最佳地促进风力发电的吸收。我们使用天气研究与预测模型(WRF 2015)风速数据和澳大利亚能源市场运营商(AEMO)电力需求数据来计算2010年至2012年的风速与电力需求数据之间的相关性。我们计算状态级别的相关性,以识别连接每个州的传输网络的互连器中的潜在瓶颈。每个状态内的传输线往往没有什么限制。我们发现电力需求和风速之间的相关性在时间上有小幅增长。这归因于随着太阳能PV和太阳能热水供应量的增加,对可再生能源投资组合产生了无意识的影响。制造业的下降使家庭国内需求相对较大,这加剧了投资组合效应。将我们的研究与早先的Bannister和Wallace(2011)的相关分析进行比较,可以证实我们的初步发现。我们发现,NEM外围州(包括昆士兰州,南澳大利亚州和塔斯马尼亚州)之间的风速之间缺乏相关性,这是最大的优势。另外,在这些状态之间,电力需求和风速之间的相关性最强。同样,我们发现,在每个州的电力需求之间缺乏相关性,这是最大的优势。维多利亚州和新南威尔士州的自利团体以及每个州的地理位置所包含的输电公司,阻碍了最佳互连能力的发展,从而使周边州和整个NEM的风能收益最大化。

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