A novel 7-level SCMLI with selective harmonic elimination via war strategy optimization Ankit Singh, Vibhu Jately, Peeyush Kala, Jyoti Joshi, Nitin Kumar Saxena, Shashank Mishra, Pavan Khetrapal, Brian Azzopardi Results in Engineering, 2025 This paper introduces a seven-level switched capacitor multilevel inverter that achieves triple voltage gain while reducing the number of components, employing a single DC source, two switched capacitors, and ten semiconductor switches. The War Strategy Optimization (WSO) algorithm is employed for selective harmonic elimination (SHE), enhancing switching angles with swift convergence and reducing total harmonic distortion (THD) to around 11%. The inverter features built-in self-voltage balancing with zero voltage and zero current switchings (ZVS/ZCS), eliminating additional balancing circuits and minimizing inrush currents. The test results for 48 V input generates a maximum output voltage of 144V at 50Hz, under dynamic load and modulation conditions, validating the robustness of the design. Analysis indicates that the suggested SCMLI features a reduced peak inverse voltage (PIV) and necessitates fewer components, rendering it a more cost-effective option for high-power and renewable energy applications.
Golden Jackal Optimization-Driven SHE Control on 13-Level SCMLI for Renewable Applications Ankit Singh, Vibhu Jately, Peeyush Kala, Jyoti Joshi Proceedings of 2025 International Conference on Signal Processing Computation Electronics Power and Telecommunication Iconscept 2025, 2025 This study introduces a switched capacitor based multilevel inverter. The main goal is to reduce the component count, multiple dc source to achieve the 13-level waveform. The proposed topology utilized on one dc source, three capacitor with the capability of voltage boosting to twice and self-balance by common grounding without use of external circuit for charging or balancing while generating voltage level. To mitigation of lower harmonics, a selective harmonic elimination (SHE) technique used in this topology, to find the optimal switching angles are using a metaheuristic Golden Jackal Optimization (GJO) algorithm. This modulation technique effectively mitigates lower-order harmonics and improves waveform quality low to high modulation index by using GJO. For the real-world application, the proposed inverter is confirmed via a laboratory scale prototype, tested under constant and dynamic operating conditions, which works well under changes in modulation index and load transitions. Experimental results shows that the inverter achieves low total harmonic distortion (THD), robust dynamic response, and high efficiency, showcasing its suitability for the integration of renewable energy sources and applications involving low-voltage direct current.
Fault-Tolerant Switched-Capacitor Multilevel Inverter With Harmonic Suppression for Critical Power Applications Ankit Singh, Vibhu Jately, Peeyush Kala, Yongheng Yang IEEE Transactions on Aerospace and Electronic Systems, 2025 A compact single-phase switched-capacitor multilevel inverter (SCMLI) for critical aerospace power applications is presented in this correspondence. The proposed 9-level configuration has a low component count with a single-input DC source, two capacitors, nine switches, and one diode, and has a capacitor self-balancing feature. A SHEPWM strategy is improved to minimize dominant harmonics and to achieve a THD of ∼8% for the 9-level unit, par with state-of-the-art compact SCMLIs. Three such 9-level units are cascaded to realise a 25-level SCMLI that meets the stringent aerospace limits of THD. Demonstration of THD 1.6% under normal operations and 3.6% under worst-case fault conditions during experimental validation, establishes that the proposed modular structure fully complies with MIL-STD-704F and RTCA DO-160G aerospace standards. Further a balanced operation and high power quality of the designed structure in hardware tests at aircraft's operating frequency of 400 Hz confirm its efficacy as a compact, fault-tolerant, and standards-compliant inverter topology for aerospace power systems.
Control strategy for current limitation and maximum capacity utilization of grid connected PV inverter under unbalanced grid conditions Jyoti Joshi, Vibhu Jately, Peeyush Kala, Abhishek Sharma, Wei Hong Lim, Brian Azzopardi Scientific Reports, 2024 Under grid voltage sags, over current protection and exploiting the maximum capacity of the inverter are the two main goals of grid-connected PV inverters. To facilitate low-voltage ride-through (LVRT), it is imperative to ensure that inverter currents are sinusoidal and remain within permissible limits throughout the inverter operation. An improved LVRT control strategy for a two-stage three-phase grid-connected PV system is presented here to address these challenges. To provide over current limitation as well as to ensure maximum exploitation of the inverter capacity, a control strategy is proposed, and performance the strategy is evaluated based on the three generation scenarios on a 2-kW grid connected PV system. An active power curtailment (APC) loop is activated only in high power generation scenario to limit the current’s amplitude below the inverter’s rated current. The superior performance of the proposed strategy is established by comparison with two recent LVRT control strategies. The proposed method not only injects necessary active and reactive power but also minimizes overcurrent with increased exploitation of the inverter’s capacity under unbalanced grid voltage sag.
An Initial Solution Based Selective Harmonic Elimination Method for Multilevel Inverter Peeyush Kala and Cpss Transactions on Power Electronics and Applications, 2024 This article presents an initial solution based selective harmonic elimination (SHE) method for multilevel inverter (MLI) that aims to solve SHE problem with high accuracy while significantly reducing the number of iterations.Initial SHE solution is defined as a set of initial switching angles that has less accuracy as compared to the final SHE solution.To find initial SHE solution, tunicate swarm algorithm (TSA), grey wolf optimization (GWO) and whale optimization (WO) are used to solve five-dimensional SHE problem.A comparative analysis demonstrates that TSA achieved the desired initial SHE solution within lesser iterations as compared to GWO and WO for a wide range of modulation indices.The initial switching angles found using TSA are further optimized using Newton-Raphson (NR) method being the proposed TSANR method, which exploits the SHE search space with quadratic rate of convergence to find final SHE solution.The proposed TSANR method significantly minimizes the computational time and further improves the accuracy of the SHE solution as compared to the state-of-the-art SHE methods.Detailed simulations, experimental and harmonic analysis under dynamic change in modulation index are presented to show the efficacy of the proposed SHE method in terms of control over fundamental and detrimental harmonics.Index Terms-Initial SHE solution, multilevel inverter, Newton-Raphson (NR), selective harmonic elimination (SHE), tunicate swarm algorithm (TSA). I. IntroductIonM ULTILEVEL inverters have shown their superiority over pulse width modulation (PWM) inverters in various industrial applications over the past few decades [1].MLIs offer numerous key merits such as its transformer-less assembly,
Advancements in Multilevel Inverters for Efficient Harnessing of Renewable Energy: A Comprehensive Review and Application Analysis Ankit Singh, Vibhu Jately, Peeyush Kala, Yongheng Yang, Brian Azzopardi IEEE Access, 2024 The rising demand for electrical energy, coupled with the running down of conventional energy sources, has prompted vast research into renewable energy sources (RES) for power generation. Wind and solar photovoltaic energies are among the most critical resources, despite their susceptibility to fluctuating climatic conditions. Power electronics have been helpful in the integration of renewable energy sources (RESs) with grid, and multilevel inverters (MLIs) have arisen as critical components for the effective utilization of energy from RES and the enhancement of power quality. This paper provides an extensive overview of the latest developments in MLI topologies and how they have been applied in different industries. Optimal MLI designs for various applications will be identified by a thorough investigation of performance parameters including component count, total harmonic distortion (THD), and overall efficiency. Additionally, the paper explores the role of MLIs in diverse sectors including RES, microgrids, and residential applications. By synthesizing insights from recent literature and performance evaluations, this review aims to provide valuable guidance for researchers and practitioners in selecting the most suitable MLI topology for specific applications.
GWO-NR Hybrid Method for Selective Harmonic Elimination in Multilevel Inverter for Distributed Energy Systems Peeyush Kala, Vibhu Jately, Abhinav Sharma, Jyoti Joshi, Hossam Kotb, Kareem M. AboRas, Ali ELrashidi IEEE Access, 2024 This article presents a hybrid method to solve the selective harmonic elimination (SHE) problem for an adaptive DC bus multilevel inverter (MLI) topology. The proposed hybrid method combines the Grey wolf optimization (GWO) technique and Newton-Raphson (NR) numerical method which drastically minimizes the computational time and further improves the accuracy of the SHE solution. The technique is essentially divided into two stages. In the exploration stage, GWO explores the entire search space of SHE problem and provides initial values of switching angles for a given modulation index with a fast rate of exploration. In the exploitation stage, the NR method uses these initial switching angles as input to iteratively determine the optimum value of the firing angles. This GWO-inspired iterative methodology is implemented on a hybrid MLI topology for photovoltaic (PV) system applications. The performance of proposed SHE method is compared with recently developed metaheuristic SHE techniques based on some key performance indices. From an application point of view, the 11-Level MLI is tested on a PV battery-based stand-alone system to determine the effectiveness of the proposed method in MATLAB/Simulink environment. Finally, a small-scale experimental prototype is developed to validate the proposed method.
A Comprehensive Review of Flexible Power-Point-Tracking Algorithms for Grid-Connected Photovoltaic Systems Sakshi Sharma, Vibhu Jately, Piyush Kuchhal, Peeyush Kala, Brian Azzopardi Energies, 2023 The rapid increase in the penetration of photovoltaic (PV) power plants results in an increased risk of grid failure, primarily due to the intermittent nature of the plant. To overcome this problem, the flexible power point tracking (FPPT) algorithm has been proposed in the literature over the maximum power point tracking (MPPT) algorithm. These algorithms regulate the PV power to a certain value instead of continuously monitoring the maximum power point (MPP). The proposed work carries out a detailed comparative study of various constant power generation (CPG) control strategies. The control strategies are categorized in terms of current-, voltage-, and power-based tracking capabilities. The comparative analysis of various reported CPG/FPPT techniques was carried out. This analysis was based on some key performance indices, such as the type of control strategy, irradiance pattern, variation in G, region of operation, speed of tracking, steady-state power oscillations, drift severity scenario, partial shading scenario, implementation complexity, stability, fast dynamic response, robustness, reactive power, cost, and tracking efficiency. Among existing FPPT algorithms, model-based control has a superior performance in terms of tracking speed and low steady-state power oscillations, with a maximum tracking efficiency of 98.57%.