Multiobjective approach for power flow and unbalance control in low-voltage networks considering distributed energy resources

Abstract

-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.

Optimal Multiobjective Control of Low-Voltage AC Microgrids: Power Flow Regulation and Compensation of Reactive Power and Unbalance

“…This paper is an extension of [17], with further contributions on: i) applying the evolutionary multiobjective algorithm (MOEA/D) to optimally regulate power flow, and also compensate the reactive power and current unbalance using randomly connected single-phase DERs; ii) exploring the concomitant integration of the UI allowing the interphase power circulation through its DC-link; and iii) evaluating the proposed technique by simulation results on a real LV grid.…”

“…It is worth mentioning that the MOEA/D algorithm is suitable for this application because of its ability to outperform and provide lower computational efforts than other GA methods [34]. Moreover, confronting with the NSGA-II method studied in [17], it offers faster convergence and more uniform solutions at the pareto-optimal front, as well as better test-retest reliability.…”