Research on the Collaborative Optimization of Multi-Energy Flow Microgrids

With the developing of the concept of Energy Internet, the multi-energy flow microgrid, which has an efficient utilization of clean energy and integrated supply of electricity, heating and cooling, is gaining popularity among researchers. In this paper, based on a real multi-energy flow microgrid in the north area of HaiDian District, Beijing, China, we put forward a collaborative optimization model, and do some research about the implementation of the economy and safety of the microgrid in the perspective of comprehensive energy suppliers. Meanwhile, we use the interval model to analyse the uncertainty of the system. In addition, various types of energy storages are added in the system to achieve peak load shifting and reduce the influence of the uncertainty of renewable energy, especially the latter. Finally, a case study which uses the actual data is conducted to show the effectiveness of the proposed model.