A Bi-level optimization for the planning of microgrid with the integration of hydrogen energy storage

Abstract

Microgrid (MG) integrated with renewable energy sources (RES) has become increasingly popular, especially when the lack of resources and environmental pollution are serious. However, the uncertainty of RES is the major problem when operating MG. The hydrogen energy storage system (HESS) is a prominent solution for the RES uncertainty since it can store excess energy, supply when in shortage, help to regulate power consumption, and improve MG's flexibility. In this research, a bi-level optimization model for planning the microgrid is proposed. The upper layer of the optimization model aims to minimize the total operation cost of the MG, while the lower level focuses on minimizing the operation cost of the hydrogen energy storage system. The results demonstrate that the proposed bi-level model can help to reduce the operation cost of MG by 42.75% in comparison with typical single level optimization model. Additionally, the electricity generated by diesel generators has also decreased by 52.43%, resulting in a significant reduction in CO2 emissions and contributing to environmental protection.