Abstract
This paper presents a fully distributed finite-time dual-layer control system to guarantee an economic global load power sharing for DC multi-microgrids (MGs). Local and global coordination controllers are developed to handle respectively the optimal operation within a finite settling time for individual MGs and the entire cluster of interconnected MGs by using a dual-layer sparse communication network. In the local control layer, not only the incremental costs (ICs) of all DGs within each MG are equalized to realize optimal load sharing between DGs, but also the local generations and demands are balanced by MG's average voltage restoration using the finite time consensus protocol. Furthermore, the economic power flow among MGs is regulated by the distributed global controllers through fine-tuning of MGs local reference voltages to attain the minimal global total generation cost (TGC). The feasibility of the proposed controller is verified by simulation under various testing scenarios.
| Original language | English |
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| Title of host publication | Proceedings |
| Subtitle of host publication | IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society |
| Publisher | IEEE Computer Society |
| Pages | 2154-2159 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728148786 |
| DOIs | |
| State | Published - Oct 2019 |
| Externally published | Yes |
| Event | 45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019 - Lisbon, Portugal Duration: 14 Oct 2019 → 17 Oct 2019 |
Publication series
| Name | IECON Proceedings (Industrial Electronics Conference) |
|---|---|
| Volume | 2019-October |
Conference
| Conference | 45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019 |
|---|---|
| Country/Territory | Portugal |
| City | Lisbon |
| Period | 14/10/19 → 17/10/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- DC multi-MGs cluster
- Finite-time consensus algorithm
- distributed control
- economic operation
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering