A Microgrid Multilayer Control Concept for Optimal Power Scheduling and Voltage Control

Deckmyn, Christof; Vandoorn, Tine L.; Vyver, Jan Van de; Desmet, Jan; Vandevelde, Lieven

doi:10.1109/tsg.2017.2658865

Cited by 9 publications

(13 citation statements)

References 24 publications

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“…Such problem requires the solution of multiple objectives within a set of infinite possibilities, then the optimization algorithm must cover multimodal and non-convex concepts [30], [31]. In such cases, the approaches based on metaheuristic optimization and a posteriori preference articulation, particularly focused on genetic algorithms (GAs), are widely used in literature [31], [32]. Yet, a pareto-optimal GA estimates the pareto-optimal set of solutions by means of the dominance criteria, then a decision-making method is applied to select the most appropriate solution among a set of weights (W) [30], [33].…”

Section: B Multiobjective Optimization Algorithmmentioning

confidence: 99%

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

Brandão

Ferreira

Alonso

et al. 2020

IEEE Trans. Smart Grid

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The presence of single-phase distributed generators unevenly injecting active power in three-phase microgrids may create undesired upstream current unbalance. Consequently, voltage asymmetry and even active power curtailment may occur in such networks with negative economic impact. Thus, this paper proposes an optimal multiobjective approach to regulate the active and reactive power delivered by distributed generators driven by a three-layer hierarchical control technique in low-voltage microgrids. This method does not require previous knowledge of network parameters. The multiobjective algorithm is implemented in the secondary level achieving optimal dispatch in terms of maximizing the active power generation, as well as minimizing the reactive power circulation and current unbalance. By the existence of a utility interface three-phase converter placed at the point-ofcommon-coupling, the proposed control can regulate the power circulating among the microgrid phases, and the microgrid structure can withstand grid-connected and islanded operating modes. The path for interphase power circulation through the DClink of the utility interface allows the multiobjective algorithm to achieve better results in terms of generation and compensation compared to the system without utility interface. The proposed method is assessed herein by computational simulations in a threephase four-wire microgrid under realistic operational conditions.

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Section: B Multiobjective Optimization Algorithmmentioning

confidence: 99%

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

Brandão

Ferreira

Alonso

et al. 2020

IEEE Trans. Smart Grid

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show abstract

“…It is important to mention that, in this work the problem is solved using the fmincon optimization tool of MATLAB, which for the test system used, has a good performance in terms of computation time, i.e., 1.58 seconds per optimization with an error tolerance of 1ˆ10´6; however, other optimization techniques can be used to solve the minimization problem shown in (16). Figure 7 shows the single line diagram of the three-phase microgrid used as test system.…”

Section: Optimization Problem Formulationmentioning

confidence: 99%

“…This kind of problems cannot be solved directly by the primary controllers, which require the support of complex control schemes for enhancing the operational characteristics required in the microgrids by providing power flow control and voltage regulation along the feeders [7], [9]. Hence, to cope with this problem, hierarchical multilevel controls have been proposed in the literature [7], [12]- [16].…”

Section: Introductionmentioning

confidence: 99%

“…In [15], an optimal power flow based on glow-worm swarm optimization for islanded microgrids is presented, the power flow method includes unbalanced systems, and the optimization includes losses reduction and frequency constrains; the optimization objectives are achieved but the authors conclude that a reduction of computational time is needed for this approach. Recently, in [16], a multilayer scheme for active power management and voltage control with an optimization stage for cost minimization is presented; the control is validated through simulation results.…”

Section: Introductionmentioning

confidence: 99%

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Extended-Optimal-Power-Flow-Based Hierarchical Control for Islanded AC Microgrids

Tinajero

Díaz

Luna

et al. 2019

IEEE Trans. Power Electron.

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This paper presents the application of a hierarchical control scheme for islanded AC microgrids with a primary droop control and a centralized extended optimal power flow control. The centralized control is responsible for computing and sending, in an online manner, the control references to the primary controls in order to achieve three operational goals, i.e., improvement of the global efficiency, voltage regulation through reactive power management and compliance of the restrictions regarding the generation units capacities. Two case studies are defined and online tested in a laboratory-scaled microgrid implemented in the Microgrid Laboratory at Aalborg University. The primary controllers are included in a real-time simulation platform (dSPACE 1006), while the extended optimal power flow is conducted in a central controller by using a Smart Meter and LabVIEW for data acquisition and MATLAB for its implementation, taking into account load and capacity profiles. The obtained results show the reliability of the proposed scheme in a real system and its advantages over the conventional droop control.

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“…In general, the OPF problem optimizes multi-objective functions using heuristic-based methods, such as genetic algorithm, ant colony and particle swarm, or even classical methods as weighted sum and -constraint [6], [7], [9], [16], [18]- [20]. The heuristic-based methods are procedures in which the gradient information is not used into the searching process [18].…”

Section: Introductionmentioning

confidence: 99%

An Optimal Energy Management Technique Using the $\epsilon$ -Constraint Method for Grid-Tied and Stand-Alone Battery-Based Microgrids

et al. 2019

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The intermittent characteristics of microgrids (MGs) have motivated the development of energy management systems (EMSs) in order to optimize the use of distributed energy resources. In current studies, the implementation of an EMS followed by experimental-based analyses for both grid-tied and stand-alone MG operation modes is often neglected. Additionally, the design of a management strategy that is capable of preserving the storage device lifetime in battery-based MGs using a power gradient approach is hardly seen in the literature. In this context, this work presents the application of an EMS for battery-based MGs which is suitable for both grid-tied and stand-alone operation modes. The proposed EMS is formulated as an optimal power flow (OPF) problem using the-constraint method which is responsible for computing the current references used by the EMS to control the MG sources. In the optimization problem, the total generation cost is minimized such that the active power losses are kept within pre-established boundaries, and a battery management strategy based on power gradient limitation is included. Finally, the effectiveness of the proposed EMS is evaluated by two scenarios which enable detailed analyses and validation. The first considers a dispatchable and a non-dispatchable source, whereas the second a dispatchable source and a storage device. The experimental results showed that the proposed EMS is efficient in both operation modes and is also capable of smoothing the state of charge (SoC) behavior of the storage device. INDEX TERMS Battery power gradient, distributed generation, energy management system, microgrid, optimal power flow, storage device.

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A Microgrid Multilayer Control Concept for Optimal Power Scheduling and Voltage Control

Cited by 9 publications

References 24 publications

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

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

Extended-Optimal-Power-Flow-Based Hierarchical Control for Islanded AC Microgrids

An Optimal Energy Management Technique Using the $\epsilon$ -Constraint Method for Grid-Tied and Stand-Alone Battery-Based Microgrids

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