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首页> 外文会议>International Conference on Emerging eLearning Technologies and Applications >Evaluation of Modeling Differences of Nodal vs. Zonal Pricing Based Electricity Markets: Optimization Models and Network Representation
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Evaluation of Modeling Differences of Nodal vs. Zonal Pricing Based Electricity Markets: Optimization Models and Network Representation

机译：基于地基定价的节点与局部电力市场建模差异评价：优化模型与网络代表

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Firstly, this work briefly introduces the Collaborative Doctoral Program (CDP), which fosters collaborations between the Joint Research Centre and Universities, in order to provide a European qualification framework to doctoral students, who are trained to be at the intersect of science and policy through multinational projects. Secondly, this work provides an example of research conducted in the context of the CDP in the field of energy modeling aiming at developing improved modeling tools to assess the efficiency of nodal against zonal pricing and providing evidence for policy-makers. The electricity system is evolving with increasing incorporation of renewable energies, therefore also the transmission system is facing expanding challenges. As a consequence, also electricity markets are evolving. A topic of increasing interest is nodal pricing as an alternative to zonal pricing-based electricity markets in Europe. This work is giving an overview of different formulations of optimization problems in power systems and in particular, in electricity markets, which are commonly applied in literature. We focus on two different aspects being the type of optimization problem and the representation of the transmission network. In this context, the trade-off between modeling accuracy and computational efforts is the topic assessed in this study. We find that computational times increase drastically when employing unit-commitment, but remain rather moderate when sticking to economic dispatch using DC- as well as AC-OPF. The representation of networks in terms of aggregated node systems, which are relevant when aiming to compare zonal to nodal pricing-based electricity markets, show that power flows within zones are difficult to predict and it is vital to further investigate the aggregation of nodes into zones to support comparative studies.
机译：首先，这项工作简要介绍了合作博士计划（CDP），这些计划（CDP）促进了联合研究中心和大学之间的合作，以便向博士生提供博士生，他们受过科学和政策的交叉培训跨国公司。其次，这项工作提供了在能源建模领域的CDP的背景下进行的研究的例子，旨在开发改进的建模工具，以评估节点对党人定价的效率，并为政策制定者提供证据。电力系统正在随着可再生能量的增加而发展，因此传输系统也面临着扩大挑战。结果，电力市场也在不断发展。兴趣日益增长的话题是节点定价，作为欧洲局部局部定价的电力市场的替代品。这项工作概述了电力系统中的优化问题的不同配方，特别是在电力市场中，通常适用于文献。我们专注于两个不同的方面是优化问题的类型和传输网络的表示。在这种情况下，建模准确度和计算工作之间的权衡是本研究中评估的主题。我们发现，在使用单位承诺时，计算时间急剧增加，但在使用DC-以及AC-OPF粘贴到经济调度时保持相当温和。在聚合节点系统方面的网络表示，该节点系统在旨在将统治者与基于节点定价的电力市场进行比较时，表明区域内的功率流动难以预测，并且进一步研究节点的聚合到区域至关重要支持比较研究。

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