On the Performance Optimization of Two-Level Three-Phase Grid-Feeding Voltage-Source Inverters

Smadi, Issam A.; Albatran, Saher; Ahmad, Hamzeh J.

doi:10.3390/en11020400

Cited by 5 publications

(3 citation statements)

References 22 publications

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“…The controllers select the suitable m * i and θ * i , then the references are formulated as in (1). Finally, the gate pulses of the converter are realized as in Figure 3, employing (2) and (3).…”

Section: Control Methodsmentioning

confidence: 99%

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Optimal Control of a Compact Converter in an AC Microgrid

2018

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This paper presents an optimal control method for a compact reduced switch count AC/AC converter in an AC microgrid. The AC/AC converter is adopted to interconnect dual three-phase renewable energy sources (RESs) and a three-phase permanent magnet synchronous motor (PMSM) to the grid to form an example of a mixed grid-feeding-drive system. For the adopted converter, a generalized pulse width modulation (PWM) scheme employing the third harmonic injection and a control method are proposed. Moreover, to achieve reduced dc link voltage ripple, good reference tracking and disturbance rejection, the gains of the controllers are optimized by minimizing a weighted sum of different objective functions. Each objective function represents a specific aspect to be minimized and the optimization problem is solved employing particle swarm optimization (PSO) method, while ensuring that the total harmonic distortion (THD) of the current at the points of common coupling (PCC) are less than 5%. For this mixed grid-feeding-drive system, simulation results under fast transient are provided to demonstrate the applicability of the adopted converter in the AC microgrid, the effectiveness of the proposed PWM, and the proposed optimal control method.

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Section: Control Methodsmentioning

confidence: 99%

“…Their increase is in line with global energy policy [1]. However, their integration in the network put challenges to be faced in order to harness them effectively.…”

Section: Introductionmentioning

confidence: 99%

Optimal Control of a Compact Converter in an AC Microgrid

2018

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“…In recent years, the energy demand has been growing at a rapid rate and causing major global concern related to the depletion of nonrenewable energy sources and global warming due to environmental pollution. Accordingly, to fulfill the rise in energy demands and reduce the use of nonrenewable energy sources, energy from renewable sources is required to be generated more and more in the future for clean and green energy without affecting the environment [1][2][3]. Solar energy and wind energy are the prominent renewable sources to generate power.…”

Section: Introductionmentioning

confidence: 99%

HIL Co-Simulation of Finite Set-Model Predictive Control Using FPGA for a Three-Phase VSI System

2018

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The conversion and control for the utilization of power generated from energy sources can be performed using a power electronic converter system. The voltage source inverter (VSI) is one of the commonly used converter topologies, being controlled by a switching control algorithm for power conversion. Finite set-model predictive control (FS-MPC) is a modern switching control algorithm and has received significant attention due to its predictive nature. In this paper, the implementation of FS-MPC is presented for the load-side current control of a three-phase VSI system using an integrated platform of MATLAB/Simulink and Xilinx system generator (XSG). The XSG provides the functionality of digital design and intuitive implementation of field-programmable gate array (FPGA) controlled systems. The additional functionality of hardware-in-the-loop (HIL) co-simulation using FPGA is used for the testing and validation of controller performance. The controller performance is validated through three platforms: MATLAB/Simulink, XSG and HIL co-simulation using ZedBoard Zynq evaluation and development FPGA kit.

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Potential Contribution of the Grey Wolf Optimization Algorithm in Reducing Active Power Losses in Electrical Power Systems

2022

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Active power losses have the potential to affect the distribution of power flows along transmission lines as well as the mix of energy used throughout power networks. Grey wolf optimization algorithms (GWOs) are used in electrical power systems to reduce active power losses. GWOs are straightforward algorithms to implement because of their simple structure, low storage and computing needs, and quicker convergence from the constant decrease in search space. The electrical power system may be separated into three primary components: generation, transmission, and distribution. Each component of the power system is critical in the process of distributing electricity from where it is produced to where it is used by customers. By using the GWO, it is possible to regulate the active power delivered by a high-voltage direct current network based on a multi-terminal voltage-source converter. This review focuses on the role of GWO in reducing the amount of active power lost in power systems by considering the three major components of electrical power systems. Additionally, this work discusses the significance of GWO in minimizing active power losses in all components of the electrical power system. Results show that GWO plays a key role in reducing active power losses and consequently reducing the impact of power losses on the performance of electrical components by different percentages. Depending on how the power system is set up, the amount of reduction can be anywhere from 12% to 65.5%.

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On the Performance Optimization of Two-Level Three-Phase Grid-Feeding Voltage-Source Inverters

Cited by 5 publications

References 22 publications

Optimal Control of a Compact Converter in an AC Microgrid

Optimal Control of a Compact Converter in an AC Microgrid

HIL Co-Simulation of Finite Set-Model Predictive Control Using FPGA for a Three-Phase VSI System

Potential Contribution of the Grey Wolf Optimization Algorithm in Reducing Active Power Losses in Electrical Power Systems

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