Optimal energy flow in Multimodal Cellular Energy Structures considering resilience requirements

该建议的主要目的是研究考虑弹性要求的多模式细胞能量结构(MCES)内的最优能量流。本研究特别探讨了下列子目标：1.制定了MCES的复原力定义和复原性MCES的特征定义。电力系统的恢复力已经在以前的工作中得到了评估，然而，关于MCES的恢复力的定义还没有得到深入的研究。这项建议的第一个子目标是定义MCE的复原力，并评估复原性MCE的特征。其中，将对以下研究问题进行定性评估，以达到这个子目标：在考虑细胞方法的情况下，MCES的哪些弹性特征和特征可以得到解决？那么，MCES内部的哪种技术组合对MCES的弹性有最大的正面和负面影响？2.从电力系统工程研究所(EVT)的仿真工具HELGA(热电燃气仿真工具)的现状出发，开发了一种以弹性要求为约束条件，朝着成本效率方向优化能量流动的多模式(电、热和燃气)最优流动算法。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的最优运行。作为下一步，将开发一种最优多模式能量流(OMEF)算法；该算法将多模式电网状态考虑为约束和附加约束，如弹性要求。3.研究了典型MCES中多通道能量流优化算法。最初的OMEF将被开发用于没有特定蜂窝结构的多模式能源系统。下一个子目标是使这种通用的多峰能量流算法适合于MCES的特殊特性。在此之后，OMEF算法将在具有代表性的MCES上进行研究，考虑到以前研究项目中的可用数据，并使用增强版本的Helga。除其他外，调查包括以下研究问题：MCES的多模式能量电池(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？而且，如何从数学上描述这些约束。4.评价弹性约束对多模式细胞能量流优化运行的影响。最后一个子目标是评估弹性要求对具有代表性的MCES优化运行的影响。初步假设的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