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 language | English |
|---|---|
| Article number | 9119110 |
| Pages (from-to) | 2607-2618 |
| Number of pages | 12 |
| Journal | IEEE Systems Journal |
| Volume | 15 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Jun 2021 |
Keywords
- Active planning
- distributed generation (DG)
- electrical coupling strength (ECS)
- genetic algorithm (GA)
- virtual microgrids (VMs)
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