Optimal energy flow in Multimodal Cellular Energy Structures considering resilience requirements

考虑弹性要求的多模式细胞能量结构中的最佳能量流

• 批准号: 511806895
• 负责人: Professor Dr.-Ing. Markus Wolfgang Zdrallek
• 金额: --
• 依托单位: Lehrstuhl für Elektrische Energieversorgungstechnik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/511806895?language=en
• 关键词: Optimal; energy; flow; Multimodal; Cellular

The main purpose of this proposal is the investigation of optimal energy flows within multimodal cellular energy structures (MCES) considering resilience requirements. The investigation pursues in particular the following subobjectives: 1. Development of a definition of resilience for MCES and definition of characteristics of resilient MCES. The resilience of power systems has been assessed in several previous works, however, a definition of resilience for MCES has not been deeply investigated. The first subobjective of this proposal is to define resilience for MCES and to assess the characteristics of resilient MCES. Among others, the following research questions are going to be assessed qualitatively in order to reach this subobjective: which resilience features and characteristics can be addressed for MCES under consideration of the cellular approach? And, which technology-mixes within MCES have the biggest positive and negative effects on the resilience of the MCES? 2. Development of an optimal multimodal (electricity, heat and gas) flow algorithm which optimizes energy flows towards cost efficiency considering resilience requirements as constraints Starting from the current state of the simulation tool HElGa (Heat, Electricity and Gas simulation tool) of the Institute of Power Systems Engineering (EVT), the second subobjective is to integrate in HElGa an optimisation program like the “open energy modelling framework - oemof” in order to be able to analyse the optimal operation of MCES. As next step, an algorithm for optimal multimodal energy flows (OMEF) is going to be developed; such algorithm will considerate multimodal grid states as restrictions and additional constrains such as resilience requirements. 3. Investigation of the developed algorithm for optimal multimodal energy flows in representative MCES. The initial OMEF will be developed to be applied on multimodal energy systems without particular cellular structure. A next subobjective is to adapt such general multimodal energy flow algorithm to the particular characteristics of MCES. After this, the OMEF algorithm will be investigated on representative MCES considering available data from previous research projects and employing the enhanced version of HElGa. The investigation covers - among others - the following research questions: which additional constrains have to be considered resulting from the local energy balance of the multimodal energy cells (MEC) of MCES? Which additional constrains result from the horizontal and vertical energy exchange between MEC of MCES? And, how can be these constrains mathematically described. 4. Evaluation of the effect of resilience constrains on the optimal operation of multimodal cellular energy flows. The last subobjective is to assess the impact of resilience requirements on the optimal operation of the representative MCES. The initially assumed effects of the technology-mixes of MCES on the resilience will be validated

本建议的主要目的是调查的最佳能量流内的多模态蜂窝能源结构（MCES）考虑弹性的要求。调查特别关注以下副主词：1。为MCES制定复原力定义，并定义复原力MCES的特征。电力系统的弹性已经评估在以前的几个作品，然而，弹性的定义MCES还没有深入研究。该建议的第一个子目标是定义MCES的弹性并评估弹性MCES的特征。除其他外，以下研究问题将进行定性评估，以达到这个subobjective：哪些弹性功能和特性可以解决的MCES下考虑的细胞的方法？而且，MCES中的哪些技术组合对MCES的弹性产生了最大的积极和消极影响？2.开发最佳多模式（电、热、气）流量算法，将弹性要求作为约束条件，优化能源流动以实现成本效益（热、电和气体模拟工具），第二子目标是在HE 1Ga中集成优化程序，如“开放式能量建模框架- oemof”，以便能够分析MCES的最佳操作。下一步，将开发一种用于最优多模态能量流（OMEF）的算法;这种算法将考虑多模态网格状态作为限制和附加约束，如弹性要求。3.调查的最佳多模态能量流在代表性的MCES的算法。最初的OMEF将被开发应用于没有特定蜂窝结构的多模态能量系统。下一个子目标是使这种通用多模态能量流算法适应于MCES的特定特性。在此之后，OMEF算法将被调查代表MCES考虑现有数据从以前的研究项目，并采用增强版的HElGa。调查涵盖-除其他外-以下研究问题：必须考虑的额外约束，从当地的能源平衡的多模式能源电池（MEC）的MCES？MCES的MEC之间的水平和垂直能量交换导致了哪些额外的约束？以及，如何用数学方法描述这些约束。4.弹性约束对多模态蜂窝能量流最优运行的影响评估。最后一个子目标是评估弹性要求对代表性MCES最优运行的影响。初步假设的技术组合的MCES对弹性的影响将得到验证