Date of Award
9-14-2022
Publication Type
Thesis
Degree Name
M.A.Sc.
Department
Electrical and Computer Engineering
Keywords
Decentralized;Hybrid Microgrid;Microgrid;Smart grid;Unbalanced load
Supervisor
Maher Azzouz
Abstract
To realize a hybrid AC/DC microgrid, an interlinking converter (IC) is required to couple the AC microgrid (AMG) with the DC microgrid (DMG). While this configuration offers merits of bidirectional support and cooperation of both girds, which could improve the performance of the entire system, the ICs are left underutilized. The IC is an AC/DC converter and thusly has broad potential for AC-side support without any practical power cost on either side. This potential can be unleashed simply by utilizing an enhanced control and coordination schemes, without physical or hardware modification. The IC can provide different modes of support such reactive power support, and unbalance power mitigation. All of which could result in reduced loadability of the system, specifically on the AC-side. Several techniques have been demonstrated in the literature to utilize the IC for maximizing the loadability of the AC-side. However, all these methods are of the centralized type, or require extra or extraneous hardware. The centralized method, while more comprehensive, has several disadvantages, chiefly of them is complexity, which in turn impacts speed, cost, and reliability. The proposed work in this thesis develops a communication-free, decentralized method to achieve comparable results. The three-phase voltages and currents are decomposed into positive and negative sequence components. By controlling these sequences, the ICs can relieve the unbalanced power from the distributed generators of the AC-side, which helps maximizing their loadability. Furthermore, using a decentralized coordination method, the burden of the unbalanced power could be shared fairly between multiple ICs.
Recommended Citation
Al-Terkawi Hasib, Sami, "Decentralized Control of Unbalanced Hybrid AC/DC Microgrids for Maximum Loadability" (2022). Electronic Theses and Dissertations. 9602.
https://scholar.uwindsor.ca/etd/9602