Optimal Energy Management of Unbalanced Three-Phase Grid-Connected Microgrids

Giraldo, Juan S.; Castrillon, Jhon A.; Castro, Carlos A.; Milano, Federico

doi:10.1109/ptc.2019.8810498

Cited by 4 publications

(3 citation statements)

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“…For instance, the optimal control of power flows between MGs and the main grid has been studied in [17], showing the advantages and benefits of applying coordinated control within a system of MGs or in [18], where the OEM of grid-connected unbalanced MGs has been studied. Another alternative is to consider operating flexibility regions as proposed in [19] for distribution networks, or calculating energy reserves as in [20]; however, the effect of these approaches in the power system dynamic behavior has not yet been tested.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of decentralized microgrids optimal energy management on power system dynamics

Giraldo

Murad²,

Kërçi

et al. 2022

Electric Power Systems Research

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Section: Literature Reviewmentioning

confidence: 99%

Impact of decentralized microgrids optimal energy management on power system dynamics

Giraldo

Murad²,

Kërçi

et al. 2022

Electric Power Systems Research

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“…Typically, the power flow problem in electrical distribution grids has been addressed only with single-phase equivalents in the literature [7]. However, some electrical distribution networks cannot be reduced to single-phase equivalents due to the following characteristics: (i) no transposition in distribution lines, i.e., unbalanced impedances among phases, (ii) unbalanced loads with ∆and Y-connections, (iii) single-phase or two-phase laterals [8][9][10]. Thus, distribution networks must be analyzed directly in their three-phase form in order to capture the actual effect of the imbalances in the electrical variables, including voltages, currents, and powers.…”

Section: Introduction 1general Contextmentioning

confidence: 99%

Accurate and Efficient Derivative-Free Three-Phase Power Flow Method for Unbalanced Distribution Networks

et al. 2021

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The power flow problem in three-phase unbalanced distribution networks is addressed in this research using a derivative-free numerical method based on the upper-triangular matrix. The upper-triangular matrix is obtained from the topological connection among nodes of the network (i.e., through a graph-based method). The main advantage of the proposed three-phase power flow method is the possibility of working with single-, two-, and three-phase loads, including Δ- and Y-connections. The Banach fixed-point theorem for loads with Y-connection helps ensure the convergence of the upper-triangular power flow method based an impedance-like equivalent matrix. Numerical results in three-phase systems with 8, 25, and 37 nodes demonstrate the effectiveness and computational efficiency of the proposed three-phase power flow formulation compared to the classical three-phase backward/forward method and the implementation of the power flow problem in the DigSILENT software. Comparisons with the backward/forward method demonstrate that the proposed approach is 47.01%, 47.98%, and 36.96% faster in terms of processing times by employing the same number of iterations as when evaluated in the 8-, 25-, and 37-bus systems, respectively. An application of the Chu-Beasley genetic algorithm using a leader–follower optimization approach is applied to the phase-balancing problem utilizing the proposed power flow in the follower stage. Numerical results present optimal solutions with processing times lower than 5 s, which confirms its applicability in large-scale optimization problems employing embedding master–slave optimization structures.

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“…Notice that the works above do not consider unbalanced networks. However, unbalances are a natural consequence of line configurations, i.e., untransposed, two-phase and single-phase laterals, and load characteristics, where single-phase and two-phase connections prevail [16].…”

Section: Introductionmentioning

confidence: 99%