Distributed Strategy for Optimal Dispatch of Unbalanced Three-Phase Islanded Microgrids

Journal Article (2019)
Author(s)

Pedro P. Vergara (University of Campinas, University of Southern Denmark)

Juan M. Rey (Industrial University of Santander)

Hamid R. Shaker (University of Southern Denmark)

Josep M. Guerrero (Aalborg University)

Bo Norregaard Jorgensen (University of Southern Denmark)

Luiz C.P. Da Silva (University of Campinas)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1109/TSG.2018.2820748 Final published version
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Publication Year
2019
Language
English
Affiliation
External organisation
Issue number
3
Volume number
10
Article number
8327897
Pages (from-to)
3210-3225
Downloads counter
234

Abstract

This paper presents a distributed strategy for the optimal dispatch of islanded microgrids, modeled as unbalanced three-phase electrical distribution systems. To set the dispatch of the distributed generation (DG) units, an optimal generation problem is stated and solved distributively based on primal-dual constrained decomposition and a first-order consensus protocol, where units can communicate only with their neighbors. Thus, convergence is guaranteed under the common convexity assumptions. The islanded microgrid operates with the standard hierarchical control scheme, where two control modes are considered for the DG units: a voltage control mode, with an active droop control loop, and a power control mode, which allows setting the output power in advance. To assess the effectiveness and flexibility of the proposed approach, simulations were performed in a 25-bus unbalanced three-phase microgrid. According to the obtained results, the proposed strategy achieves a lower cost solution when compared with a centralized approach based on a static droop framework, with a considerable reduction on the communication system complexity. Additionally, it corrects the mismatch between generation and consumption even during the execution of the optimization process, responding to changes in the load consumption, renewable generation, and unexpected faults in units.