Optimal and Decentralized Control Strategies for Inverter-Based AC Microgrids

Cook, Michael D.; Trinklein, Eddy H.; Parker, Gordon G.; Robinett, Rush D.; Weaver, Wayne W.

doi:10.3390/en12183529

Cited by 8 publications

(7 citation statements)

References 21 publications

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“…By using Equation ( 8) and applying the fractional operator defined in relation (11) to both members of Equation (66), and considering that D −µ becomes I µ , we can write:…”

Section: Fractional-order Synergetic Controlmentioning

confidence: 99%

“…Moreover, among the general approaches to the study of microgrid systems control, we can mention the study of the transient stability of a hybrid microgrid [2,3], the use of algorithms to offset lagging in the microgrid system [4], the optimization of the charging process of microgrid batteries [5,6], the study of the topologies of the converters used in the microgrid [7], the parallel coupling of the inverters in a microgrid [8], problems related to fault tolerance in the microgrid [9], and also problems related to the multi-grid dispatching in view of obtaining an economic optimum [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

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Fractional-Order Control of Grid-Connected Photovoltaic System Based on Synergetic and Sliding Mode Controllers

Nicola¹,

Nicola

2021

Energies

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Starting with the problem of connecting the photovoltaic (PV) system to the main grid, this article presents the control of a grid-connected PV system using fractional-order (FO) sliding mode control (SMC) and FO-synergetic controllers. The article presents the mathematical model of a PV system connected to the main grid together with the chain of intermediate elements and their control systems. To obtain a control system with superior performance, the robustness and superior performance of an SMC-type controller for the control of the udc voltage in the DC intermediate circuit are combined with the advantages provided by the flexibility of using synergetic control for the control of currents id and iq. In addition, these control techniques are suitable for the control of nonlinear systems, and it is not necessary to linearize the controlled system around a static operating point; thus, the control system achieved is robust to parametric variations and provides the required static and dynamic performance. Further, by approaching the synthesis of these controllers using the fractional calculus for integration operators and differentiation operators, this article proposes a control system based on an FO-SMC controller combined with FO-synergetic controllers. The validation of the synthesis of the proposed control system is achieved through numerical simulations performed in Matlab/Simulink and by comparing it with a benchmark for the control of a grid-connected PV system implemented in Matlab/Simulink. Superior results of the proposed control system are obtained compared to other types of control algorithms.

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“…By using Equation ( 8) and applying the fractional operator defined in relation (11) to both members of Equation (66), and considering that D −µ becomes I µ , we can write:…”

Section: Fractional-order Synergetic Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fractional-Order Control of Grid-Connected Photovoltaic System Based on Synergetic and Sliding Mode Controllers

Nicola¹,

Nicola

2021

Energies

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“…To share the load currents properly, the designer should set the load currents proportions between the DGUs. These shares can either be chosen proportional to the DGUs power rating, as for the conventional droop, or calculated using the decentralized power apportionment method from our previous work [25]. The virtual resistances for the droop control are then chosen such that…”

Section: Droop Settingsmentioning

confidence: 99%

Droop Control in DQ Coordinates for Fixed Frequency Inverter-Based AC Microgrids

et al. 2019

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This paper presents a proof-of-concept for a novel dq droop control technique that applies DC droop control methods to fixed frequency inverter-based AC microgrids using the dq0 transformation. Microgrids are usually composed of distributed generation units (DGUs) that are electronically coupled to each other through power converters. An inherent property of inverter-based microgrids is that, unlike microgrids with spinning machines, the frequency of the parallel-connected DGUs is a global variable independent from the output power since the inverters can control the output waveform frequency with a high level of precision. Therefore, conventional droop control methods that distort the system frequency are not suitable for microgrids operating at a fixed frequency. It is shown that the proposed distributed droop control allows accurate sharing of the active and reactive power without altering the microgrid frequency. The simulation and hardware-in-the-loop (HIL) results are presented to demonstrate the efficacy of the proposed droop control. Indeed, following a load change, the dq droop controller was able to share both active and reactive power between the DGUs, whereas maintaining the microgrid frequency deviation at 0% and the bus voltage deviations below 6% of their respective nominal values.

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“…and energy storage systems operating in a variety of modes with smooth transitions between them. These, along with many other control architectures investigated give insight into the utilization of autonomous microgrids [14], [15].…”

Section: Thesis Organizationmentioning

confidence: 99%

“…The objective is to minimize the mission time, as described as the objective function J 1.1 in Equation 5.1.In Phase-One, the GA optimization results in multiple UAV mission plans with costs of 2140.5 meters. The mission plan selected for the continued Phase-Two optimization is {5, 2,6,10,7,11,12,15,16,8,4,3,14,13,9, 1} and is shown as the dotted blue line in…”

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confidence: 99%

Optimal Mission Planning of Autonomous Mobile Agents for Applications in Microgrids, Sensor Networks, and Military Reconnaissance

Majhor¹

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Optimal and Decentralized Control Strategies for Inverter-Based AC Microgrids

Cited by 8 publications

References 21 publications

Fractional-Order Control of Grid-Connected Photovoltaic System Based on Synergetic and Sliding Mode Controllers

Fractional-Order Control of Grid-Connected Photovoltaic System Based on Synergetic and Sliding Mode Controllers

Droop Control in DQ Coordinates for Fixed Frequency Inverter-Based AC Microgrids

Optimal Mission Planning of Autonomous Mobile Agents for Applications in Microgrids, Sensor Networks, and Military Reconnaissance

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