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Optimized Operation and System Design of an Energy Storage Device for Post-feed-in-tariff Sales of Wind Energy at the Spot Market

机译:现货市场储能设备后馈电关税后销量的优化操作和系统设计

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The relevance of energy storages as important flexibility technology for the prospective energy supply system has been discussed in many projects and studies during the last years. In the context of the project "Netzintegrierte Stromspeicher" Fraunhofer UMSICHT has developed a deterministic optimization model for storage commitment, named GOMES - Generic Optimization Model for Energy Storage. It has the purpose to compare and evaluate different storage applications both technical and economical. Due to its generic nature GOMES is applicable to different storage technologies as well as different markets. Moreover it possesses the particularity that a simultaneous participation in different markets is feasible. Its modular design allows an easy and fast modelling of new scenarios. GOMES applies a rolling horizon to restrict the perfect foresight to a predetermined timeframe. The optimization determines the most beneficial and economical storage commitment and delivers therefore information about the maximal reachable revenue of the examined storage application. This allows to calculate break-even capital costs and to determine the optimal storage plant design.
机译:在过去几年的许多项目和研究中讨论了能量存储作为预期能源供应系统的重要灵活性技术的相关性。在项目的上下文中,“Netzintegrierte StromspeIcher”Fraunhofer UMSICH已经开发了一种确定性化优化模型,用于存储承诺,名为戈麦斯 - 通用优化模型,用于储能。它有目的是比较和评估技术和经济学的不同存储应用。由于其通用性质戈麦斯适用于不同的存储技术以及不同的市场。此外,它具有同时参与不同市场的特殊性是可行的。其模块化设计允许简单快速地建模新场景。戈麦斯申请滚动地平线来限制预定时间范围的完美远见。优化决定了最有益和经济的存储承诺,因此提供了有关所检查存储申请的最大可达收入的信息。这允许计算断裂偶数资金成本并确定最佳储存工厂设计。

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