Predictive Control for Microgrid Applications: A Review Study

Villalon, Ariel; Rivera, Marco; Salgueiro, Yamisleydi; Muñoz, Javier; Dragičević, Tomislav; Blaabjerg, Frede

doi:10.3390/en13102454

Cited by 51 publications

(23 citation statements)

References 100 publications

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“…In [112], the application of a predictive controller for a current source converter (CSC) was taken into consideration to interface aircraft generators with onboard dc microgrid. In addition, a review and an in-depth discussion of the application of predictive control in microgrids was provided in [113]. On the down side of MPC for aircraft EPS, this is the most complex form of classic control, and as mentioned [114], it should be employed only when no simpler controller is applicable.…”

Section: B Stabilitymentioning

confidence: 99%

Electric Power Systems in More and All Electric Aircraft: A Review

2020

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Narrow body and wide body aircraft are responsible for more than 75% of aviation greenhouse gas (GHG) emission and aviation, itself, was responsible for about 2.5% of all GHG emissions in the United States in 2018. This situation becomes worse when considering a 4-5% annual growth in air travel. Electrified aircraft is clearly a promising solution to combat the GHG challenge; thus, the trend is to eliminate all but electrical forms of energy in aircraft power distribution systems. However, electrification adds tremendously to the complexity of aircraft electric power systems (EPS), which is dramatically changing in our journey from conventional aircraft to more electric aircraft (MEA) and all electric aircraft (AEA). In this paper, we provide an in-depth discussion on MEA/AEA EPS: electric propulsion, distributed propulsion systems (DPS), EPS voltage levels, power supplies, and EPS architectures are discussed. Publications on power flow (PF) analysis and management of EPS are reviewed, and an initial schematic of a potential aircraft EPS with electric propulsion is proposed. In this regard, we also briefly review the components required for MEA/AEA EPS, including power electronics (PE) converters, electric machines, electrochemical energy units, circuit breakers (CBs), and wiring harness. A comprehensive review of each of the components mentioned above or other topics except for those related to steady state power flow in MEA/AEA EPS is out of this paper's scope and should be found somewhere else. At the close of the paper, some challenges in the path towards AEA are presented. Unless the discussed challenges are satisfactorily addressed and solved, arriving at an AEA that can properly operate over commercial missions will not be possible. INDEX TERMS aircraft electrification, all electric aircraft (AEA), electric power system (EPS), more electric aircraft (MEA), power distribution system, steady state power flow analysis.

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Section: B Stabilitymentioning

confidence: 99%

Electric Power Systems in More and All Electric Aircraft: A Review

2020

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“…In the last years, Model Predictive Control (MPC) has received extensive attention from the research community and has proven to be an excellent control solution for power electronics converters [68][69][70][71][72][73]. In particular, Finite-Control-Set MPC (FCS-MPC) has become extremely popular in power electronics applications, leveraging the discrete nature of power converters to formulate an intuitive control algorithm, without requiring a modulator.…”

Section: Introductionmentioning

confidence: 99%

“…Despite its advantages, FCS-MPC still presents some important challenges [68][69][70][71][72]. Weighting factor selection is typically a lengthy and complex procedure , which optimizes converter performance in specific operating conditions-often compromising performance in other operating points or the dynamic response [75][76][77].…”

Section: Introductionmentioning

confidence: 99%

Fault Analysis and Non-Redundant Fault Tolerance in 3-Level Double Conversion UPS Systems Using Finite-Control-Set Model Predictive Control

Caseiro

Mendes

2021

Energies

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Fault-tolerance is critical in power electronics, especially in Uninterruptible Power Supplies, given their role in protecting critical loads. Hence, it is crucial to develop fault-tolerant techniques to improve the resilience of these systems. This paper proposes a non-redundant fault-tolerant double conversion uninterruptible power supply based on 3-level converters. The proposed solution can correct open-circuit faults in all semiconductors (IGBTs and diodes) of all converters of the system (including the DC-DC converter), ensuring full-rated post-fault operation. This technique leverages the versatility of Finite-Control-Set Model Predictive Control to implement highly specific fault correction. This type of control enables a conditional exclusion of the switching states affected by each fault, allowing the converter to avoid these states when the fault compromises their output but still use them in all other conditions. Three main types of corrective actions are used: predictive controller adaptations, hardware reconfiguration, and DC bus voltage adjustment. However, highly differentiated corrective actions are taken depending on the fault type and location, maximizing post-fault performance in each case. Faults can be corrected simultaneously in all converters, as well as some combinations of multiple faults in the same converter. Experimental results are presented demonstrating the performance of the proposed solution.

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“…Among them, there are linear strategies, such as PI (Proportional Integrative) and PR (Proportional Resonant) [20,21]. Additionally, nonlinear strategies, such as hysteresis control, predictive control, and fuzzy control, can also be applied [22][23][24]. Particularly, the predictive control strategy is suitable for multi-variable control in DC/DC and DC/alternating current (AC) converters.…”

Section: Introductionmentioning

confidence: 99%

Improved Predictive Control for an Asymmetric Multilevel Converter for Photovoltaic Energy

et al. 2020

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This article proposes a 27-level asymmetric cascade H-bridge multilevel topology for photovoltaic applications, which considers a predictive control strategy that allows minimization of the commutations of the converter. This proposal ensures a highly sinusoidal and stable photovoltaic injection when there are solar irradiance disturbances, generating a low distortion in the current waveform and low switching losses. To validate the performance of the control and the proposed topology, the dynamic model of the alternating current (AC) and direct current (DC) side system is first obtained, which is checked by computational simulations. Subsequently, the implementation of a master–slave control is carried out, focused on the control of DC voltage and AC current. The proposal is simulated, and the total harmonic distortion (THD) is obtained in the voltage and current waveforms. Undesired commutations, typical of the predictive control, are eliminated in the AC voltage waveform, and a proper DC voltage tracking is achieved for the high-power cell. In order to demonstrate the performance of the proposed control strategy, a low-power proof-of-concept prototype is implemented, in which the energy is injected to the grid, under the event of solar irradiance disturbances (with DC control).Then, the undesired switching in the main cell is eliminated, generating THDs in the voltage and current signal of 7.76% and 2.65%, respectively.

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Predictive Control for Microgrid Applications: A Review Study

Cited by 51 publications

References 100 publications

Electric Power Systems in More and All Electric Aircraft: A Review

Electric Power Systems in More and All Electric Aircraft: A Review

Fault Analysis and Non-Redundant Fault Tolerance in 3-Level Double Conversion UPS Systems Using Finite-Control-Set Model Predictive Control

Improved Predictive Control for an Asymmetric Multilevel Converter for Photovoltaic Energy

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