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Optimal Capacity Configuration Method for Multi-Microgrid System Utilizing Wind-Solar-Electric-Hydrogen Hybrid Energy Storage

LIU Zhong1, HUANF Yanming1, ZHU Guangming2,3, ZOU Shuyun1   

  1. 1.School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan Province, China; 2.Electric Power Research Institute, State Grid Hunan Electric Power Company Limited, Changsha 410007, Hunan Province, China; 3.Hunan province key laboratory of efficient & clean power generation technology, Changsha 410007, Hunan Province, China
  • Supported by:
    National Natural Science Foundation of China (52079011)

Abstract: [Objectives] In order to study the problems of increasing complexity of power balance, and increasing uncertainty of power flow distribution and safe and stable operation of power grid caused by high proportion of renewable energy access, a capacity optimization configuration method of multi-microgrid system including wind power, photovoltaic, battery and hydrogen energy storage was proposed.[Methods] A bi-level optimization model was established under the framework of multi-microgrid distribution network. The outer objective of the model was the minimum life cycle cost, and the inner objective was to minimize the peak-valley difference, network loss and voltage offset of the distribution network. Based on the IEEE 69-bus system, the white shark optimizer (WSO) algorithm and Cplex solver were used to solve the model, and the optimal capacity configuration scheme and planning operation results were obtained.[Results] When the capacity configuration of each component of the system is optimal, the installed ratio of the power generation system to the hybrid energy storage system is 1:0.27. The wind-solar-electro-hydrogen hybrid energy storage system is superior to the wind-solar-single energy storage system in terms of economy and stability.[Conclusions] The proposed method can not only optimize the joint optimal cost of the system, but also effectively reduce the load peak-valley difference, distribution network loss and improve power quality.

Key words: new energy consumption, multi-energy complementary, capacity configuration, power distribution, bi-level optimization model, multi-microgrid, distribution network, electric-hydrogen hybrid energy storage