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

Research output: Contribution to journalArticlepeer-review

8 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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