光伏电站升压变压器:谐波条件下的负载损耗估计

B. A. Thango, J. Jordaan, A. Nnachi
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引用次数: 5

摘要

2010年,南非推出了可再生能源独立电力生产商采购计划,以振兴利用可再生能源的低碳能源生产。在风力和水力发电厂的发展中;太阳能光伏电站迅速发展起来。2015年和2016年并网的太阳能光伏电站数量是无与伦比的。然而,由于逆变器的开关动作和非线性负载的运行,太阳能光伏配电网在共耦合点存在不可接受的谐波和畸变内容。因此,准确估计由此增加的负载损失是必要的,以便估计热点温度和服务期间的总损失。为了证明这些挑战的重要性,本文对充油变压器提供的几何数据和谐波谱进行了全面的谐波分析。计算了基波和谐波条件下的负载损耗。负载损耗分为I2R和杂散损耗。I2R损耗可以很容易地通过分析计算和实际测量得到。一方面,杂散损耗的解析计算不能给出最优的估计,实际上是不可测量的。本文建立了一个二维有限元模型,该模型对任意变压器的几何数据都是动态的,利用磁通密度的知识来产生实用的损耗估计。通常,解析式忽略了径向磁通密度分量。在运行过程中,该分量在绕组端处占主导地位,不可忽视。
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Step-Up Transformers for PV Plants: Load Loss Estimation under Harmonic Conditions
In 2010, South Africa introduced the Renewable Energy Independent Power Producer Procurement Programme to invigorate low-carbon energy generation using renewable energy resources. Amongst the development of wind and hydro plants; solar photovoltaic plants then took off rapidly. The volume of solar PV plants connected to the grid in 2015 and 2016 was unparalleled. However, the solar PV electric power distribution network is challenged with the presence of unacceptable harmonics and distortion content at the point of common coupling due to the switching action of inverters and operation of non-linear loads. It therefore essential to precisely estimate the resultant increased load losses in order to estimate the hot spot temperature and total losses during service.In order to demonstrate the significance of these challenges, this paper provides a comprehensive harmonic analysis of an oil-filled transformer for the supplied geometrical data and harmonic spectrum of an oil-filled transformer. The load losses are evaluated under fundamental and harmonic conditions. The load losses are classified into I2R and stray losses. The I2R losses can be easily obtained by analytical calculations and also through practical measurement. On one hand, analytical calculation of the stray losses cannot give an optimized estimation and practically their immeasurable. In this paper, a 2D FEM model that is dynamic to any transformer geometrical data is developed to produce a pragmatic loss estimation by using knowledge of the magnetic flux density. Generally, analytical formulations neglect the radial magnetic flux density component. During operation, this component becomes predominant towards the winding ends and cannot be disregarded.
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