Optimal energy flow in Multimodal Cellular Energy Structures considering resilience requirements

• Applicant: Professor Dr.-Ing. Markus Wolfgang Zdrallek
• Subject Area: Electrical Energy Systems, Power Management, Power Electronics, Electrical Machines and Drives ; Energy Process Engineering
• Term: since 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 511806895

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

• DFG Programme: Research Grants