Optimal energy flow in Multimodal Cellular Energy Structures considering resilience requirements

本提案的主要目的是研究考虑弹性要求的多模态细胞能量结构（MCES）内的最佳能量流。调查特别追求下列次级目标：MCES弹性定义的发展和弹性MCES特征的定义。电力系统的弹性已经在以前的一些工作中进行了评估，然而，对MCES弹性的定义尚未进行深入研究。本提案的第一个子目标是定义MCES的弹性，并评估弹性MCES的特征。其中，以下研究问题将进行定性评估，以达到这一亚目标：在考虑细胞方法的情况下，MCES可以解决哪些弹性特征和特征？在MCES中，哪些技术组合对MCES的弹性有最大的积极和消极影响？2. 从电力系统工程研究所（EVT）的HElGa（热、电和气仿真工具）仿真工具的现状出发，开发一种最优的多模态（电、热和气）流算法，考虑弹性要求作为约束，优化能量流以实现成本效益。第二个子目标是在HElGa中集成一个优化程序，如“开放能源建模框架- oemof”，以便能够分析MCES的最佳运行。下一步，将开发一种最优多模态能量流（OMEF）算法；该算法将考虑多模态网格状态作为约束条件和弹性要求等附加约束条件。3. 具有代表性的多模态能量流优化算法的研究。最初的OMEF将被开发用于没有特定细胞结构的多模态能源系统。下一个目标是使这种通用的多模态能量流算法适应MCES的特殊特性。在此之后，将结合以往研究项目的可用数据，采用增强版本的HElGa，在具有代表性的MCES上研究OMEF算法。该调查涵盖了以下研究问题：由于MCES的多模态能量电池（MEC）的局部能量平衡，必须考虑哪些额外的约束？MCES的MEC之间的水平和垂直能量交换产生了哪些额外的约束？如何用数学方法描述这些约束。4. 弹性约束对多模态细胞能量流优化运行的影响评价。最后一个子目标是评估弹性要求对代表性MCES优化运行的影响。最初假设的MCES技术组合对弹性的影响将得到验证

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