• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2020, Vol. 41 ›› Issue (6): 18-27.doi: 10.12204/j.issn.1000-7229.2020.06.003

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Dynamic Electricity Trading Strategy for Multi-Microgrid Under Transactive Energy Framework

LIAN Xiaolin1,LI Xiaolu1,LU Yiming2,DING Yi3,LI Congli3   

  1. 1.College of Electrical Engineering,Shanghai University of Electric Power,Shanghai 200090,China;2.State Grid Shanghai Energy Internet Research Institute,Shanghai 201203,China;3.State Grid Tianjin Electric Power Company,Tianjin 300010,China
  • Online:2020-06-01
  • Supported by:
    This work is supported by State Grid Corporation of China Research Program (No. SGTJDK00DWJS1900100).

Abstract: In order to promote electricity transaction and coordinated control among microgrids and to smooth power fluctuation between the microgrid and the distribution network, a dynamic electricity trading strategy for multi-microgrid under transactive energy(TE) framework is proposed.Firstly, the electricity transaction pattern of multi-microgrid based on transactive energy platform is designed to ensure the privacy and security of market participants and improve the flexibility of electricity transaction.Secondly, a dynamic electricity trading model for multi-microgrid is established.The first objective is to optimize electricity price by minimizing the cost of the microgrid taking into account the cost of energy storage battery degradation and controllable load dispatch compensation.The second objective is to optimize electricity transaction by minimizing the total electricity trading cost of multi-microgrid.Then, coordinating electricity transaction among microgrids based on multi-round auction aims to promote supply-demand balance and reduce the power interaction between the microgrid and the distribution network.Finally,the effectiveness and economics of the proposed strategy are verified by three interconnected microgrids.

Key words: multi-microgrid, direct electricity transaction, transactive energy(TE), multi-round auction, coordination optimization

CLC Number: