This study discusses how to increase power quality by integrating a unified power quality conditioner (UPQC) with a grid-connected microgrid for clean and efficient power generation. An Artificial Neural Network (ANN) controller for a voltage source converter-based UPQC is proposed to minimize the system’s cost and complexity by eliminating mathematical operations such as a-b-c to d-q-0 translation and the need for costly controllers such as DSPs and FPGAs. In this study, nonlinear unbalanced loads and harmonic supply voltage are used to assess the performance of PV-battery-UPQC using an ANN-based controller. Problems with voltage, such as sag and swell, are also considered. This work uses an ANN control system trained with the Levenberg-Marquardt backpropagation technique to provide effective reference signals and maintain the required dc-link capacitor voltage. In MATLAB/Simulink software, simulations of PV-battery-UPQC employing SRF-based control and ANN-control approaches are performed. The findings revealed that the proposed approach performed better, as presented in this paper. Furthermore, the influence of synchronous reference frame (SRF) and ANN controller-based UPQC on supply currents and the dc-link capacitor voltage response is studied. To demonstrate the superiority of the suggested controller, a comparison of percent THD in load voltage and supply current utilizing SRF-based control and ANN control methods is shown.

MMC is a promising technology for MTDC systems and would transform into the concept of Supergrids in the near future. The salient features of MMC are modularity, reduced dv/dt and di/dt stress on switches, voltage and power scalability, inherent fault blocking capacity, transformerless operation, and improved power quality. However, there are some technical issues and challenges to be critically analysed and addressed. There is room for development of novel and enhanced MMC based on SM configurations to enable higher efficiency, improved power quality, compactness, and DC fault blocking capacity. Moreover, development of efficient and accurate models is required for the studies of MTDC grids during steady-state and transient conditions. Literature review suggests a need for studying and comparing different MMC modelling approaches because no modelling technique can be best suited for all applications. The main contribution of this paper is to provide a comprehensive review of recent developments in MMC in terms of SM configurations. This paper also presents an in-depth review of systematic comparison of different models of MMC, which can enable appropriate selection of model based on target studies and desired accuracy and efficiency. Finally, the associated research challenges and future trends are presented.

Modular Multilevel Converter (MMC) is an emerging converter topology for medium and high voltage applications. Nearest level Modulation (NLM) is the conventional control topology used to control the MMC that produces the N+1 AC output waveform. In previous research work, the Modified NLM has been already proposed, producing a 2N+1 and 4N+1 output waveform while utilizing a half-bridge (HB) submodule (SM) topology. However, half-bridge-based MMC has a similar behavior as two-level Voltage Source Converter (VSC) and cannot block DC fault current in case of DC-side short circuit fault. So, in recent years, full-bridge-based MMC topology is preferably used by manufacturers as it has DC fault blocking capabilities. This paper presents the Modified NLM for Full bridge (FB) SM topology to take the critical benefits of FB SM topology and improve power quality. The proposed method is simpler to implement and produces a 4N+1 AC output waveform. The THD of the output voltage and current reduces to half compared to the conventional NLM method. The proposed method is verified using LabVIEW Multisim co-simulation and as well as real-time simulation.

In order to evaluate and validate the latest trends of power-hardware-in-loop (PHIL) test setup, the dc-dc buck converter is modelled within a real-time system where the simulation model of the converter is exported to FPGA NI PXIe with a time step of 250 ns. PHIL setup allows high flexibility, the benefit of graphical programming, and advanced investigation of the control system for a converter without any safety concern and with the possibility of testing against situations that rarely occur in the field. The LabVIEW-FPGA has been used as a prototyping environment for a digital controller with the help of OPAL-RT eHS software and NI hardware. Such collaboration enables other software such as MATLAB/Simulink, Multisim, PLECS, PSIM, and LabVIEW Co-simulation for accelerating innovative research and development. This research work presents a more efficient and effectual NI PXIE platform with at least ten times more FPGA capability. This paper highlights the hardware-software toolset’s performance and the proposed methodology by addressing regulation issues in dc-dc converters. For more satisfactory and reliable operation real-time simulation study of a dc-dc buck converter is evaluated at different parametric variations under the closed-loop PI controller. Finally, the executed model’s effectiveness for a closed loop buck converter with real DC loads is validated through the hardware-in-loop (HIL) laboratory setup.

The Modular Multilevel Converter (MMC) is the best topology for medium and high voltage applications. The performance of MMC and the quality of the output waveform completely depends on the control applied. Nearest Level Modulation (NLM) is the conventional method used to control MMC that produces N+1 (N is the number of submodules per arm) AC output voltages. This paper proposes a modified NLM control method for the MMC, which produces 2N+1 level which is twice the number of levels produced by conventional NLM. The proposed method is easy to implement and is extended in the article to produce a 4N+1 output voltage level which is never done in the literature. The THD of the output waveform is reduced to more than one-fourth compared to conventional NLM. The cost of switching devices, capacitors and size of circuit is also reduced to one-fourth for 4N+1 output waveform compared to conventional NLM. The method is verified through LabVIEW Multisim Co-simulation and real-time simulation using Field Programmable Gate Array (FPGA) based NI PXI.

Modular multilevel converters (MMCs), with their inherent features and advantages over other conventional converters, have gained popularity and remain an ongoing topic of research. Many scholars have solved issues related to the operation, control, protection, and reliability of MMCs using simulation software and small hardware prototypes. We propose a novel approach for an MMC controller design with real-time systems. By utilizing a key benefit of LabVIEW Multisim co-simulation, an MMC control algorithm that can be deployed on a field-programmable gate array (FPGA) was developed in LabVIEW. The complete circuit was designed in Multisim, and a co-simulation was performed to drive an MMC model. The benefit of this topology is that control algorithms can be designed in a LabVIEW FPGA and tested with the Multisim co-simulation circuit to obtain simulation results. Once the controller works and provides satisfactory results, the same algorithm can be deployed in any NI (National Instruments) FPGA-based controller, like a compact remote input/output (RIO), to control real-time MMCs designed in an NI PCI eXtensions for Instrumentation (PXI) system. This method saves time and provides flexibility for effectively designing control algorithms and implementing them in an FPGA for real-time model implementation.