MULTIOBJECTIVE APPROACH FOR POWER FLOW AND UNBALANCE CONTROL IN LOW-VOLTAGE NETWORKS CONSIDERING DISTRIBUTED ENERGY RESOURCES
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Data
2017-01-01
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Ieee
Resumo
This paper proposes a multiobjective optimization technique that maximizes the active power generation from single-phase distributed generators, and minimizes the unbalance factor at the point of common coupling of the network. Such technique is incorporated into a centralized control strategy for optimal power flow control purpose. The centralized control strategy used herein is the Power-Based Control that coordinates the distributed units to contribute to the network's active and reactive power needs, per phase, in proportion of their power capacity. The simulation results of a simplified network with three single-phase distributed generators validate the proposal in terms of power flow control, voltage regulation and power quality.
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Distributed generation, Genetic algorithm, Microgrid, Multiobjective power flow, Unbalance
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2017 Xiv Brazilian Power Electronics Conference (cobep). New York: Ieee, 6 p., 2017.