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Upgrading Conventional Distribution Networks by Actively Planning Distributed Generation Based on Virtual Microgrids

  • Xiaotong Xu
  • , Fei Xue*
  • , Xiaoliang Wang
  • , Shaofeng Lu
  • , Lin Jiang
  • , Ciwei Gao
  • *Corresponding author for this work
    • State Grid Corporation of China
    • Xi'an Jiaotong-Liverpool University
    • University of Liverpool
    • Southeast University, Nanjing
    • South China University of Technology

    Research output: Contribution to journal › Article › peer-review

    20 Citations (Scopus)

    Abstract

    In addition to active energy management, this article proposes active planning as another critical feature of active distribution networks (ADNs). To develop this set of tasks, this article introduces a three-layer active planning framework consisting of a physical layer, cyber layer, and socioeconomic layer. Furthermore, a three-step developing strategy for ADNs based on a virtual microgrid (VM) is put forward. Then, according to this framework, this article focuses on a specific and fundamental issue that often arises: The optimal allocation of distributed generation (DG). A two-stage scheme based on VMs is a proposed solution. In the first stage, VM boundaries are determined based on the characteristics of a network structure. Using the identified VM boundaries as constraints, a bilevel hierarchical optimization method is applied to determine the optimal DG allocation in the second stage. The proposed method is verified in the popular PGandE 69-bus distribution network.

    Original languageEnglish
    Article number9119110
    Pages (from-to)2607-2618
    Number of pages12
    JournalIEEE Systems Journal
    Volume15
    Issue number2
    DOIs
    Publication statusPublished - Jun 2021

    Keywords

    • Active planning
    • distributed generation (DG)
    • electrical coupling strength (ECS)
    • genetic algorithm (GA)
    • virtual microgrids (VMs)

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