TY - JOUR AU - Cao, Siming AU - Zhang, Hanlin AU - Cao, Kai AU - Chen, Meng AU - Wu, Yi AU - Zhou, Suyang PY - 2021 M3 - Hypothesis and Theory TI - Day-Ahead Economic Optimal Dispatch of Microgrid Cluster Considering Shared Energy Storage System and P2P Transaction JO - Frontiers in Energy Research UR - https://www.frontiersin.org/articles/10.3389/fenrg.2021.645017 VL - 9 SN - 2296-598X N2 - With the increasing popularity of renewable energy, energy storage systems (ESSs) have now been used as an essential way to reduce energy bills and mitigate the impact of the uncertainty of renewable generators on the energy network. However, the high investment cost of ESS limits its application. This article proposes the concept of shared ESS (Shared-ESS) for microgrid owner/operator and applies it to the economic optimal dispatch of a microgrid cluster. In addition to the energy storage, the microgrids can achieve the peer-to-peer (P2P) transaction among each other with the use of the Shared-ESS, which significantly improves the energy utilization efficiency. The numerical analysis shows that the Shared-ESS can significantly reduce the energy bills of microgrid owner/operator, shift the usage of energy during peak time, and facilitate the renewable energy consumption. ER -