Optimal Multi Energy Supply for Regions with Increasing Use of Renewable Resources

This paper presents a hierarchical multiple-level model approach for the examination of the optimal power supply strategy for a larger (geographical) region, such as a city, or a county. The multiple-level model consists of hierarchically ordered parts of the region, forming the levels. The levels exchange energy. Variations on load demand or technology infrastructure of one part of the region affect other parts. The aim of this paper is to develop a methodology to analyze the optimal power supply of the region for different scenarios. Bottom-up optimization is proposed to allow the comparison of different power supply scenarios with respect to their costs. The use of decentralized (renewable) energy plants can be compared to the operation of centralized plants. The performance of small and large storages can be analyzed and differentiated. The cost optimal positioning of storages and conversion technologies and the optimal assignment of a new technology to a level can be studied. Also, the demand for centralized conventional power plants can be minimized using the multiple-level model. The examination and comparison of different supply scenarios allows to elaborate recommendations for action and investment for the analyzed region.