Energy Reports (Sep 2023)

Research on internal external collaborative optimization strategy for multi microgrids interconnection system

  • Zhengji Meng,
  • Xuekai Hu,
  • Lei Wang,
  • Shaobo Yang,
  • Liang Meng,
  • Hao Zhou,
  • Ziwei Cheng,
  • Tongfei Cui

Journal volume & issue
Vol. 9
pp. 1616 – 1626

Abstract

Read online

Microgrid is one of the most effective solutions to integrate renewable generation into power system. However, microgrids also have some limitations, such as increasing renewable energy accommodation, promoting multi-energy complementarity, and improving energy efficiency. Through autonomous management and energy interaction among microgrids. The establishment of multi microgrids provides ideas for solving the above problems. Multi microgrids has obvious advantages in promoting renewable energy accommodation, improving the economy and energy utilization of power grid operation, and reducing the impact on the distribution network. Therefore, from the perspective of energy scheduling, this paper proposes a internal external collaborative optimization strategy for multi microgrids. Firstly, a cogeneration microgrid model based on graph theory is established, which can not only represent the energy transmission process inside the microgrid, but also the energy interaction process between microgrids. Secondly, a microgrid interconnection pipeline transmission model based on the loss function is established. This model can not only reflect the energy transmission state in the pipeline, but also facilitate the linear solution of the optimization model. Finally, by setting new decision variables and constraints, the linear solution of the internal external collaborative optimization of the multi microgrids is realized, and its rationality and feasibility are verified by a case.

Keywords