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



Xu, Xiaotong, Xue, Fei, Wang, Xiaoliang, Lu, Shaofeng, Jiang, Lin ORCID: 0000-0001-6531-2791 and Gao, Ciwei
(2021) Upgrading Conventional Distribution Networks by Actively Planning Distributed Generation Based on Virtual Microgrids. IEEE SYSTEMS JOURNAL, 15 (2). pp. 2607-2618.

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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.

Item Type: Article
Uncontrolled Keywords: Planning, Resource management, Distribution networks, Microgrids, Decision making, Distributed power generation, Decentralized control, Active planning, distributed generation (DG), electrical coupling strength (ECS), genetic algorithm (GA), virtual microgrids (VMs)
Divisions: Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User: Symplectic Admin
Date Deposited: 29 Jun 2021 12:46
Last Modified: 18 Jan 2023 21:37
DOI: 10.1109/JSYST.2020.2999560
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3128125

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