Mitigating imbalances from wind power by using an agent-based matching mechanism

机译：通过使用基于代理的匹配机制来缓解风力发电的不平衡

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The intermittent nature of wind flow hinders the effective prediction of wind power generation, causing imbalances between the estimated and the actual values. Therefore, large-scale integration of wind generation is limited by its consequences to the whole system. This paper focuses on a two-step approach to mitigate the imbalance caused by the integration of wind energy sources in the electric grid. First, an artificial neural network based forecasting tool will be developed for short-term prediction of wind power generation that aims to quantify power imbalance. In the second step, an agent-aggregator model is used to mitigate the aforementioned power imbalance by committed flexible distributed energy resources. A case study based on data from Swedish island Gotland is used for modeling and simulations.

机译：风的间歇性阻碍了对风力发电的有效预测，导致估计值与实际值之间的不平衡。因此，风力发电的大规模集成受到其对整个系统的影响所限制。本文着重于采用两步法来缓解由风能源集成到电网中引起的不平衡。首先，将开发一种基于人工神经网络的预测工具，用于对风力发电进行短期预测，以量化功率不平衡。在第二步中，使用代理-聚集器模型通过承诺的灵活分布式能源来减轻上述功率不平衡。基于瑞典海岛哥特兰岛数据的案例研究用于建模和仿真。

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来源
《2013 48th International Universities' Power Engineering Conference》|2013年|1-6|共6页
会议地点 Dublin(IR)
作者
Ahmed B.; Ampatzis M.; Nguyen P.H.; Ferreira H.M.Lopes;
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作者单位

Electrical Energy System Group, Department of Electrical Engineering, Eindhoven University of Technology, The Netherlandsc;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Aggregator; Artificial neural network (ANN); Customer Flexibility; Multiagent system (MAS); Wind integration;

机译：聚合器;人工神经网络（ANN）;客户灵活性;多代理系统（MAS）;风集成;;

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4. Mitigating imbalances from wind power by using an agent-based matching mechanism [C] . B. Ahmed, M. Ampatzis, P. H. Nguyen, International Universities Power Engineering Conference . 2013

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Mitigating imbalances from wind power by using an agent-based matching mechanism

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