Predictive voltage control of three-phase voltage source inverters to supply nonlinear and unbalanced loads

Pirooz, Ashkan; Noroozian, Reza

doi:10.1109/pedstc.2015.7093306

Cited by 7 publications

(5 citation statements)

References 9 publications

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“…The correct selection of gain matrix ensures that the error system is asymptotically stable so that the estimation error will finally decay to zero. Using (17), the observer diagram shown in Depending on the specific observed state, the descriptions should be modified accordingly and some assumptions may be necessary. In order to observe the load current ia, for example, the assumption dia/dt = 0 is made and added to the model (6) to make either a 2-D or 3-D observer.…”

Section: Observers Designmentioning

confidence: 99%

“…However, it is difficult to maintain feed to connected loads, particularly nonlinear loads, at the required voltage and frequency with an inverter [8]. In the literature, research projects on voltage source inverters (VSI) and neutral point clamped (NPC) inverters, with many control methods, have been carried out on uninterrupted power system (UPS) based DGs in order to regulate the output voltage [16] [17]. The LC filters are commonly used in these topics.…”

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confidence: 99%

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Predictive Voltage Control of Direct Matrix Converters With Improved Output Voltage for Renewable Distributed Generation

Zhang

Dorrell

et al. 2019

IEEE J. Emerg. Sel. Topics Power Electron.

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This paper proposes a predictive voltage control strategy for a direct matrix converter used in a renewable energy distributed generation (DG) system. A direct matrix converter with LC filters is controlled in order to work as a stable voltage supply for loads. This is especially relevant for the stand-alone operation of a renewable DG where a stable sinusoidal voltage, with desired amplitude and frequency under various load conditions, is the main control objective. Model predictive control is employed to regulate the matrix converter so that it produces stable sinusoidal voltages for different loads. With predictive control, many other control objectives, e.g., input power factor, common-mode voltage and switching frequency, can be achieved depending on the application. To reduce the number of required measurements and sensors, this work utilizes observers and makes use of the switch matrices. In addition, the voltage transfer ratio can be improved with the proposed strategy. The controller is tested under various conditions including intermittent disturbance, non-linear loads and unbalanced loads. The proposed controller is effective, simple, and easy to implement. Simulation and experimental results verify the effectiveness of the proposed scheme and control strategy. This proposed scheme can be potentially used in microgrid applications.

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Section: Observers Designmentioning

confidence: 99%

mentioning

confidence: 99%

Predictive Voltage Control of Direct Matrix Converters With Improved Output Voltage for Renewable Distributed Generation

Zhang

Dorrell

et al. 2019

IEEE J. Emerg. Sel. Topics Power Electron.

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“…A discrete time model for the filter is obtained as

x ((), k + 1) = A_{q} x ((), k) + B_{q} v_{dc} ((), k) + B_{dq} i_{o} ((), k)

where

\begin{matrix} left \\ x = [\begin{matrix} center \\ center {boldi}_{boldf} \\ center {boldv}_{boldc} \end{matrix}], A = [\begin{matrix} center \\ center 0 & center \frac{- 1}{L} \\ center \frac{1}{C} & center 0 \end{matrix}], B = [\begin{matrix} center \\ center \frac{1}{L} \\ center 0 \end{matrix}], B_{normald} = [\begin{matrix} center \\ center 0 \\ center \frac{- 1}{C} \end{matrix}] \\ A_{normalq} = e^{{AT}_{s}}, B_{q} = \int_{0}^{T_{s}} e^{Aτ} Bdτ, and B_{dq} = \int_{0}^{T_{s}} e^{Aτ} B_{normald} dτ . \end{matrix}

in which T S is the sampling time. k refers to the current instant, and ( k + 1) indicates the start of next sampling time.…”

Section: Model Predictive Control Of Convertersmentioning

confidence: 99%

“…Control scheme of the boost converter with maximum power point tracking (MPPT) integrationA discrete time model for the filter is obtained as25 …”

mentioning

confidence: 99%

Investigation of model predictive control for converter-based stand-alone DC distribution networks fed by PV units

Pirooz

Noroozian

Rodríguez

2017

Int Trans Electr Energ Syst

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Summary This paper applies model predictive control to converters of a stand‐alone direct current (DC) distribution network. The proposed network is similar to a real stand‐alone network and includes essential components from generation to consumption. The network uses photovoltaic (PV) units as sources of electrical energy. Each PV unit is connected to the DC network via a DC‐DC boost converter. Both alternating current and DC load types are included and fed through 3‐phase inverters and a DC‐DC buck converter, respectively. As the network operates in stand‐alone mode, an energy storage system is considered. The energy storage system is consisted of a battery bank and a bidirectional DC‐DC converter to regulate and control both the network's voltage level and the operation of PV units. Model predictive control‐integrated diagrams have been designed separately for each converter. It is expected to have continuous power flow from PV units to loads during daytime and nighttime and a regulated voltage level for the network controlled by energy storage system. Simulations done by PSCAD/MATLAB interfacing are used to demonstrate how power flows through the network and is consumed by loads or stored in batteries. The feasibility of model predictive control to control converters for this application is concluded through comparison of results with classic controllers' performance under equal conditions.

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“…Currently a microgrid is an inverter-dominated system [3], [11]; on the other hand, it is difficult to maintain feed to the connected loads, particularly nonlinear loads, at anticipated voltage and frequency with an inverter [4]. In the literature, research projects on voltage source inverters (VSI) and neutral point clamped (NPC) inverters, with many control methods, have been carried out on uninterrupted power systems (UPSs) based DGs in order to regulate the output voltage with LC filters [12], [13]. However, these are only suitable for a microgrid with DC DGs; otherwise, the rectifier stage and DC-link capacitor are required, which results in the necessity of the DC link voltage control.…”

Section: Introductionmentioning

confidence: 99%

Predictive voltage control of direct matrix converter with reduced number of sensors for the renewable energy and microgrid applications

Zhang

Malekjamshidi

et al. 2017

2017 IEEE Energy Conversion Congress and Exposition (ECCE)

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This work proposes and investigates a renewable energy distributed generation system involving a matrix converter with an output filter working as a stable voltage supply. This is especially relevant for the stand-alone operation of a renewable energy microgrid where a stable sinusoidal voltage with prescribed amplitude and frequency under various load conditions is the main control objective. A controllable input power factor is preferred. In this paper, the model predictive control is employed to regulate the matrix converter output voltages which in turn are the supply for systems of the following stage. To reduce the number of required measurements and sensors, the work designs observers and makes use of the switch matrix. In addition to the regulation of the sinusoidal output voltages and input power factor, the control scheme deals with the common-mode voltage. The switching frequency is also considered in the controller to reduce the switching losses and keep the average switching frequency constant. In addition, the voltage transfer ratio can be improved at the cost of input current distortion. Supplying DC loads is feasible with this proposed control method. The controller is tested under various conditions including non-linear loads, DC loads and unbalanced input conditions to show it is effective, simple and easy to implement. Simulation results corroborate the effectiveness of the proposed controller and applications.

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Predictive voltage control of three-phase voltage source inverters to supply nonlinear and unbalanced loads

Cited by 7 publications

References 9 publications

Predictive Voltage Control of Direct Matrix Converters With Improved Output Voltage for Renewable Distributed Generation

Predictive Voltage Control of Direct Matrix Converters With Improved Output Voltage for Renewable Distributed Generation

Investigation of model predictive control for converter-based stand-alone DC distribution networks fed by PV units

Predictive voltage control of direct matrix converter with reduced number of sensors for the renewable energy and microgrid applications

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