Characterisation of Virtual Power Plants
Characterisation of Virtual Power Plants
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虚拟电厂的表征
DOI：
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发表时间：
2010
期刊：
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通讯作者：
G. Newman
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文献类型：
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作者：
G. Newman
电力网络中越来越多的微型发电设备导致许多人认为这些设备不能再被认为是适合和遗忘的，而应该被视为具有明显的网络影响，应该预测和利用。考虑这些设备影响的技术之一是虚拟电厂（VPP）。VPP是连接到网络的所有分布式发电（DG）的集合，包括VPP的连接电压，这样可以在单个VPP单元中看到电压水平的累积功率，而不是跨越广泛的设备。描述这项工作中开发的VPP的关键任务之一是正确预测和汇总天气驱动的几种技术类型的行为的能力，因为很大一部分DG是天气驱动的。在这种天气驱动的DG中，有些通常只能在修改后发送，其余的根本无法发送。由于在考虑VPP的聚合时不能忽视网络的约束和网络的可靠性，因此还发展了VPP的聚合作为电网的一部分。从分销网络运营商那里？从DNO的角度来看，这些特征模型可用于突出添加DG所引入的网络问题，但在预测由于DG而在整个网络中发现的功率输出（或负负载）方面的作用通常也很实用。对于有兴趣销售能源的商业代理来说，这些模型允许对交易期间的能源进行准确预测。VPP代理也会受到网络中线路故障的不利影响，导致基于网络可靠性率的N-1分析的发展，该分析被用作讨论单线故障影响和通过DNO反馈可获得的缓解措施的基础。
The growing number of micro generation devices in the electrical network is leadingmany to consider that these devices can no longer be considered as fit and forget, butshould instead be considered as having a demonstrable network impact which shouldbe predicted and utilised. One of the techniques for considering the impacts of thesedevices is the Virtual Power Plant (VPP).The VPP is the aggregation of all the Distributed Generation (DG) connected into thenetwork up to and including the connection voltage of the VPP, such that thecumulative power up the voltage levels can be seen in the single VPP unit, rather thanacross a broad spread of devices.One of the crucial tasks in characterising the VPP, developed in this work, is theability to correctly predict and then aggregate the behaviour of several technologytypes which are weather driven, as a large proportion of DG is weather driven. Of thisweather driven DG, some can only typically be dispatched with modification and therest cannot be dispatched at all. The aggregation of the VPP as part of the electricalnetwork is also developed, as the constraints of the network and the reliability of thenetwork cannot be overlooked when considering the aggregation of the VPP.From a distribution network operator?s (DNO) perspective, these characterisationmodels can be used to highlight problems in the network introduced by the addition ofDG, but are also generally utilitarian in their role of predicting the power output (ornegative load) found throughout the network due to DG. For a commercial agentinterested in selling energy, these models allow for accurate predictions of energy tobe determined for the trading period.A VPP agent would also be adversely affected by line failure in the network, leadingto the development of an N-1 analysis based upon reliability rates of the network,which is used as the basis for a discussion on the impacts of single line failure and themitigation available through feedback from the DNO.