Dezso Sera

Dezso Sera

Queensland University of Technology

H-index: 44

Oceania-Australia

About Dezso Sera

Dezso Sera, With an exceptional h-index of 44 and a recent h-index of 36 (since 2020), a distinguished researcher at Queensland University of Technology, specializes in the field of photovoltaic systems, power electronics, renewable energy.

His recent articles reflect a diverse array of research interests and contributions to the field:

Lithium-Ion Supercapacitors and Batteries for Off-Grid PV Applications: Lifetime and Sizing

Sizing of Hybrid Supercapacitors and Lithium-Ion Batteries for Green Hydrogen Production from PV in the Australian Climate

A New Non-Isolated High-Gain Single-Switch DC-DC Converter with Continuous Input Current

Review of multiport modular multilevel converters for residential applications: A control perspective

Sliding-Mode-Based Control Strategy for a Solar Multi-Port Three-Level DC-DC Converter Under Harsh System Uncertainty

Stability analysis for DC-link voltage controller design in single-stage single-phase grid-connected PV inverters

A quadratic buck-boost converter with continuous input and output currents

On Improved PSO and Neural Network P&O Methods for PV System under Shading and Various Atmospheric Conditions

Dezso Sera Information

University

Queensland University of Technology

Position

___

Citations(all)

8987

Citations(since 2020)

4835

Cited By

5980

hIndex(all)

44

hIndex(since 2020)

36

i10Index(all)

96

i10Index(since 2020)

83

Email

University Profile Page

Queensland University of Technology

Dezso Sera Skills & Research Interests

photovoltaic systems

power electronics

renewable energy

Top articles of Dezso Sera

Lithium-Ion Supercapacitors and Batteries for Off-Grid PV Applications: Lifetime and Sizing

Authors

Tarek Ibrahim,Tamas Kerekes,Dezso Sera,Abderezak Lashab,Daniel-Ioan Stroe

Journal

Batteries

Published Date

2024/1/23

The intermittent nature of power generation from photovoltaics (PV) requires reliable energy storage solutions. Using the storage system outdoors exposes it to variable temperatures, affecting both its storage capacity and lifespan. Utilizing and optimizing energy storage considering climatic variations and new storage technologies is still a research gap. Therefore, this paper presents a modified sizing algorithm based on the Golden Section Search method, aimed at optimizing the number of cells in an energy storage unit, with a specific focus on the unique conditions of Denmark. The considered energy storage solutions are Lithium-ion capacitors (LiCs) and Lithium-ion batteries (LiBs), which are tested under different temperatures and C-rates rates. The algorithm aims to maximize the number of autonomy cycles—defined as periods during which the system operates independently of the grid, marked by intervals between two consecutive 0% State of Charge (SoC) occurrences. Testing scenarios include dynamic temperature and dynamic load, constant temperature at 25 °C, and constant load, considering irradiation and temperature effects and cell capacity fading over a decade. A comparative analysis reveals that, on average, the LiC storage is sized at 70–80% of the LiB storage across various scenarios. Notably, under a constant-temperature scenario, the degradation rate accelerates, particularly for LiBs. By leveraging the modified Golden Section Search algorithm, this study provides an efficient approach to the sizing problem, optimizing the number of cells and thus offering a potential solution for energy storage in off-grid PV systems.

Sizing of Hybrid Supercapacitors and Lithium-Ion Batteries for Green Hydrogen Production from PV in the Australian Climate

Authors

Tarek Ibrahim,Tamas Kerekes,Dezso Sera,Shahrzad S Mohammadshahi,Daniel-Ioan Stroe

Journal

Energies

Published Date

2023/2/22

Instead of storing the energy produced by photovoltaic panels in batteries for later use to power electric loads, green hydrogen can also be produced and used in transportation, heating, and as a natural gas alternative. Green hydrogen is produced in a process called electrolysis. Generally, the electrolyser can generate hydrogen from a fluctuating power supply such as renewables. However, due to the startup time of the electrolyser and electrolyser degradation accelerated by multiple shutdowns, an idle mode is required. When in idle mode, the electrolyser uses 10% of the rated electrolyser load. An energy management system (EMS) shall be applied, where a storage technology such as a lithium-ion capacitor or lithium-ion battery is used. This paper uses a state-machine EMS of PV microgrid for green hydrogen production and energy storage to manage the hydrogen production during the morning from solar power and in the night using the stored energy in the energy storage, which is sized for different scenarios using a lithium-ion capacitor and lithium-ion battery. The mission profile and life expectancy of the lithium-ion capacitor and lithium-ion battery are evaluated considering the system’s local irradiance and temperature conditions in the Australian climate. A tradeoff between storage size and cutoffs of hydrogen production as variables of the cost function is evaluated for different scenarios. The lithium-ion capacitor and lithium-ion battery are compared for each tested scenario for an optimum lifetime. It was found that a lithium-ion battery on average is 140% oversized compared to a lithium-ion capacitor, but a lithium-ion capacitor has a …

A New Non-Isolated High-Gain Single-Switch DC-DC Converter with Continuous Input Current

Authors

Saman A Gorji,Hossein Gholizadeh,Dezso Sera

Published Date

2023/10/16

This paper introduces a new non-isolated, high-gain converter, derived from a boost topology, thus ensuring continuous input current. A voltage multiplier cell (VMC) is integrated into the topology, with an emphasis on mitigating the typical drawbacks associated with VMCs. This refined boost topology features a high-side switch, simplifying the drive circuit. Notably, the converter achieves a high voltage gain with a single MOSFET and five diodes. A comprehensive analysis of the converter, under ideal and non-ideal conditions and in continuous conduction mode (CCM), is presented. The study also provides the requirements for CCM and discusses sensitivity analysis of voltage gain and efficiency, supported by detailed plots. A prototype, designed with 80 output power and 80 output voltage, validates the proposed converter. Experimental results confirm an eight-fold voltage gain.

Review of multiport modular multilevel converters for residential applications: A control perspective

Authors

Stephan Adams,Dezso Sera,Geoffrey Walker,Mark Broadmeadow

Published Date

2023/5/23

Distributed generation and storage systems have become important in the residential building environment. One of the more promising power electronic interfaces between these systems and the grid/building are multiport modular multilevel converters (MPMMCs). These converters can potentially improve efficiency and flexibility, however their control can pose challenges. Here, MPMMC topologies will be reviewed and analysed from a control standpoint (i.e. what control structures they require and what control outcomes they can achieve). This paper first determines a criteria for selecting a MPMMC for a residential building. It then presents a set of review criteria that can be used as guide for future multiport multilevel modular converters. It then applies these review criteria to analyse the converters that passed the selection criteria. Based on a detailed comparison of these topologies an appropriate multiport …

Sliding-Mode-Based Control Strategy for a Solar Multi-Port Three-Level DC-DC Converter Under Harsh System Uncertainty

Authors

Amir Ganjavi,Saman A Gorji,Hoda Ghoreishy,Dezso Sera

Published Date

2023/5/19

In this paper, a robust control approach using a sliding-mode-based (SLMB) control strategy has been designed for a solar multi-port three-level dc-dc converter that is specifically tailored for harsh environmental conditions, such as solar panel failure and load fluctuations. The multi-port three-level dc-dc converter has one solar input, one buck battery port, and a boost output. The sliding-mode control is designed to regulate the main boost output voltage at the desired magnitude in a three-level control structure, while the maximum power tracking is simultaneously executed for the solar input. To maintain robustness against harsh system uncertainties, a sliding mode control law in which the load and input power parameters are eliminated is constructed. Therefore, the proposed control strategy is theoretically insensitive to input current and load fluctuations. The proposed control strategy’s efficacy is validated in …

Stability analysis for DC-link voltage controller design in single-stage single-phase grid-connected PV inverters

Authors

Faicel EL Aamri,Hattab Maker,Dezso Sera,Sergiu Spataru,Josep M Guerrero,Abderrahim Fakkar,Azeddine Mouhsen

Journal

IEEE Journal of Photovoltaics

Published Date

2023/4/12

The dc-link voltage control is vitally important to ensure the operation of photovoltaic (PV) system at the maximum power voltage, where its performance affects the power quality injected into the grid. In this work, we propose a method, based on the Lyapunov function, for investigating the control system stability, during the design of a nonlinear dc-link voltage controller for single-stage single-phase grid-connected PV inverters. Furthermore, we demonstrate analytically that the non-linearity of the PV string's power-voltage (P-V) curve leads to system instability. Consequently, this article proposes an adaptive dc-link voltage controller, built from the P-V curve, as an application in order to establish a stability criterion. Simulations and experimental validations have been carried out on a grid-connected single-stage single-phase PV inverter test platform. The results confirm the feasibility of the analytical study developed in …

A quadratic buck-boost converter with continuous input and output currents

Authors

Hossein Gholizadeh,Saman A Gorji,Dezso Sera

Journal

IEEE Access

Published Date

2023/3/6

This study proposes a novel DC-DC converter topology that features a quadratic buck-boost voltage gain ratio. The quadratic gain of the converter enables it to achieve superior step-down or step-up capability when the duty cycle is higher or lower than 50 percent, as compared to conventional buck-boost converters. While there exist other quadratic buck-boost converters in the literature, the proposed converter offers unique features such as continuity of input and output currents, which reduces the current stress on the input and filter capacitors, making it a suitable option for renewable energy applications. Additionally, unlike its counterparts that have two high-side switches, the proposed converter features only one high-side and one low-side switch, allowing for a simpler gate-driver design. The proposed topology shares a common ground between the load and the source, and has the lowest stored energy with …

On Improved PSO and Neural Network P&O Methods for PV System under Shading and Various Atmospheric Conditions

Authors

Wafa Hayder,Dezso Sera,Emanuele Ogliari,Abderezak Lashab

Journal

Energies

Published Date

2022/10/17

This article analyzes and compares the integration of two different maximum power point tracking (MPPT) control methods, which are tested under partial shading and fast ramp conditions. These MPPT methods are designed by Improved Particle Swarm Optimization (IPSO) and a combination technique between a Neural Network and the Perturb and Observe method (NN-P&O). These two methods are implemented and simulated for photovoltaic systems (PV), where various system responses, such as voltage and power, are obtained. The MPPT techniques were simulated using the MATLAB/Simulink environment. A comparison of the performance of the IPSO and NN-P&O algorithms is carried out to confirm the best accomplishment of the two methods in terms of speed, accuracy, and simplicity.

Quantifying the Impact of Different Parameters on Optimal Operation of Multi-Microgrid Systems

Authors

Mahshid Javidsharifi,Hamoun Pourroshanfekr Arabani,Tamas Kerekes,Dezso Sera,Josep M Guerrero

Published Date

2022/8/24

The multi-objective optimal power management of multi-microgrid systems is solved in this paper. Minimizing the total cost and emission of the system are considered as the objective functions. The multi-objective particle swarm optimization algorithm is applied on a multi-microgrid system that consists of four microgrids each includes diesel generators, wind turbines, photovoltaic units, battery, and local loads. The multi-microgrid system can exchange power with the electricity grid. Moreover, the adjacent microgrids in the multi-microgrid system can share power with each other. The impact of the variation of battery charging and discharging efficiency, the electricity price, the capacity of diesel generators and renewable-based units, the maximum exchangeable power between the multi-microgrid system and the electricity grid and the power sharing among adjacent microgrids on day-ahead units’ scheduling of multi …

Forecasting solar radiation, photovoltaic power and thermal energy production applications

Authors

Daniel T Cotfas,Mousa Marzband,Petru A Cotfas,Monica Siroux,Dezso Sera

Journal

Frontiers in Energy Research

Published Date

2022/12/26

Forecasting energy production of photovoltaic systems is a hot Research Topic nowadays, when energy prices are one of the highest in history. The forecast of the photovoltaic power production can be on the long term from 1month to 1year, on medium-term from 1 week to 1 month, on short-term from 6 h to 72 h, and on very shortterm from 15 min to 6 h.It is crucial to forecast solar radiation and photovoltaic power production so as to control and manage the electrical stand-alone systems, smartgrids and grids, to ensure power demand can be met (Kumar et al., 2020). The forecast can be made using the following methods: numerical weather prediction models (NWP), physical techniques, linear statistical models, and machine learning techniques (Ramirez-Vergara et al., 2021).

New Converter Solution With a Compact Modular Multilevel Structure Suitable for High-Power Medium-Voltage Wind Turbines

Authors

Gustavo F Gontijo,Tamas Kerekes,Dezso Sera,Mattia Ricco,Laszlo Mathe,Remus Teodorescu

Journal

IEEE Transactions on Power Electronics

Published Date

2022/10/10

Modern wind turbines with increasing power levels are continuously emerging. These power levels are reaching a point where excessively high currents are obtained if the traditional low-voltage wind-turbine structure is adopted. High currents lead to excessively high losses and the need for bulky and heavy conductors to carry them. A medium-voltage structure should be a more competitive alternative to be adopted in high-power wind turbines. In this article, a new converter solution with a modular multilevel structure suitable for driving modern/future high-power medium-voltage wind turbines is proposed. This converter topology has desirable features common to modular multilevel converters, such as the improved reliability at high voltage levels, and the possibility to synthesize high-power-quality staircase-shape voltages, which leads to low requirements for harmonic and filters. Furthermore, the proposed …

Demand response planning for day-ahead energy management of CHP-equipped consumers

Authors

Mahshid Javidsharifi,Hamoun Pourroshanfekr Arabani,Tamas Kerekes,Dezso Sera,Guerrero Josep M

Published Date

2022

Due to the growing importance of demand response program (DRP) in demand side management in power systems as well as increasing employment of combined heat and power (CHP) units, the issue of energy management of large consumers equipped with CHP units in the presence of a DRP based on the day-ahead electricity price has been studied in this paper. To solve the considered non-convex and non-linear energy management problem, particle swarm optimization (PSO) algorithm has been used. Also, given the importance of the effect of uncertainties on the planning and operation of units in the energy management, the unscented transformation (UT) method is used for modeling uncertainties related to electricity prices and the amount of electric and thermal loads. In the applied DRP, the consumers can shift a percentage of their load from higher-price hours to lower-price hours to reduce operating …

Design and Implementation of an SiC-Based 48 V-380 V Dual Active Bridge DC-DC Converter for Batteries Employed in Green Hydrogen Microgrids

Authors

Amir Ganjavi,Saman A Gorji,Amir Hakemi,Arash Moradi,Dezso Sera

Published Date

2022/12/5

In this paper, a bidirectional Dual-Active Bridge (DAB) DC-DC converter has been designed and implemented for energy transfer to an electrolyzer in a green hydrogen production system. The converter transfers power between an energy storage system (here battery) and the DC busbar, respectively rated at 48 V and 380 V. It can also be used to supply the 48 V electrolyzer from the busbar through a unidirectional power flow. A closed-loop control system based on the Proportional Integral (PI) compensator is devised for the SiC-based DC-DC converter using the F28379D control chip. Experiments are conducted to validate the design procedures.

DZ-Source Converter: A Duality Inspiration of Z-Source Converter for Current-Source High-Conversion Ratio Applications

Authors

Amir Hakemibarabadi,Saman A Gorji,Dezso Sera,Geoffrey Walker

Published Date

2022/10/9

A novel derivation of a DC-DC current-source converter (CSC) family is proposed in this paper. According to the duality principles, a CSC family with current boost capability is proposed based on the well-known Z-source converter (ZSC). Furthermore, with the help of the improved topology of Z-source converter, namely the Quasi Z-source Converter (QZSC), the alternative CSC boost topology with reduced current stress over the components and continuous input power is proposed. This paper opens the possible derivation of a new family of DC-DC boost current source converters. The mathematical derivations of the two proposed converters are extensively studied and the results are validated with an accurate simulation model in PLECS. The utilized thermal model based on the real parameters of selected components is used for the efficiency analysis to accurately predict the performance of the future …

Hybrid MPPT method based on Neural Network and Perturb & Observe for PV systems

Authors

Wafa Hayder,Dezso Sera,Emanuele Ogliari,Aycha Abid

Published Date

2022/5/6

To track accurately and fast the Maximum Power Point (MPP), a hybrid technique NN-P&O switched between Neural Network (NN) and Perturb and Observe method (P&O) according to the variation of irradiation was proposed. The considered methodology is based on voltage reference estimated by NN and achieved using proportional-integral controller (PI). The error between the actual power and the optimal power was minimized using a small duty cycle steps generated by P&O method, which initial duty cycle value was updated adaptively. To approve the efficiency of the proposed control algorithms, simulations have been performed considering different system responses as the current, voltage and essentially the power under changing weather conditions (irradiance or temperature values).

Study of a DC micro-gird configuration to produce hydrogen (DCMG-H2)

Authors

Arash Moradi,Saman A Gorji,Amir Hakemi,Amir Ganjavi,Dezso Sera

Published Date

2022/12/5

In this paper, the configuration of a cutting-edge DC Micro-Grid system to produce Hydrogen (DCMG-H2) from Renewable Energy Sources (RESs) is described. Towards that aim, first, the practical insight on preferring a DCMG to an AC Micro-Grid (ACMG) system is elucidated. This analysis clearly highlights the unnecessary power conversions in an ACMG in practice, when the system can be converted to a DCMG. Next, based on eliminating these AC-DC converter components from ACMG, an efficient fully DCMG system is introduced that contains DC loads, such as electrolysers, and Photovoltaic (PV) and Battery Energy Storage (BES) systems. The proposed investigations can significantly address the new technical demand for implementing DCMG-H2 using the low-cost energy from PVs and can enable up-scaling of hydrogen production. The performance of the proposed DCMG configuration is verified by …

Optimal Stochastic Day-Ahead Power Management of Hybrid AC-DC Microgrids

Authors

Mahshid Javidsharifi,Hamoun Pourroshanfekr Arabani,Tamas Kerekes,Dezso Sera,Josep M. Guerrero

Published Date

2022

Due to the reappearance of DC loads in electrical systems and advanced improvement in energy storage systems (batteries) and environment-friendly properties of photovoltaics as a green energy supply, DC architecture is considered as a new solution for next-generation power distribution systems. Hybrid AC-DC microgrids (MG) can take advantage of DC and AC flows in a smart distribution system. The best strategy for the optimal operation of hybrid MGs is to minimize the converting energy between AC and DC sides such that DC loads are provided by photovoltaics, fuel cells, and the stored energy in batteries and AC loads are satisfied by AC-based sources including wind turbines (WTs) and diesel generators (DEs). Accordingly, this paper aims to scrutinize an optimal green power management strategy for hybrid AC-DC MGs from an economic viewpoint while considering photovoltaics as a prior source for the DC side and wind turbines for the AC side. Moreover, the uncertainties of renewable energy sources (RESs), DC and AC loads, and the correlation among them are investigated using the unscented transformation method.

Stochastic optimal strategy for power management in interconnected multi-microgrid systems

Authors

Mahshid Javidsharifi,Hamoun Pourroshanfekr Arabani,Tamas Kerekes,Dezso Sera,Josep M Guerrero

Journal

Electronics

Published Date

2022/4/28

A novel stochastic strategy for solving the problem of optimal power management of multi-microgrid (MMG) systems is suggested in this paper. The considered objectives are minimizing the total cost and emission of the system. The suggested algorithm is applied on a MMG consisting of four microgrids (MG), each including fossil fuel-based generator units, wind turbine (WT), photovoltaic (PV) panel, battery, and local loads. The unscented transformation (UT) method is applied to deal with the inherent uncertainties of the renewable energy sources (RES) and forecasted values of the load demand and electricity price. The proposed algorithm is applied to solve the power management of a sample MMG system in both deterministic and probabilistic scenarios. It is justified through simulation results that the suggested algorithm is an efficient approach in satisfying the minimization of the cost and the environmental objective functions. When considering uncertainties, it is observed that the maximum achievable profit is about 23% less than that of the deterministic condition, while the minimum emission level increases 22%. It can be concluded that considering uncertainties has a significant effect on the economic index. Therefore, to present more accurate and realistic results it is essential to consider uncertainties in solving the optimal power management of MMG system.

Distributed Control Scheme for a 11-Level Modular Multilevel Converter in a Grid Connected Photovoltaic Power Conversion System

Authors

Stephan Adams,Dezso Sera,Geoff Walker,Mark Broadmeadow

Published Date

2022/12/5

In recent years multilevel modular cascade converters have become a promising technique to connect photovoltaic cells to the grid. The reason for this is that they allow for plug and play modularity (allowing expansion and reduction), can have multiple local maximum power points (MPPs) allowing the system to produce the maximum possible power even when the PV cells are partially shaded, and allow for a reduction in the output filter. While current control systems can produce individual maximum power point tracking (MPPT) for each module they do not allow for plug and play modularity. This paper proposes a module voltage balancing technique coupled with a global maximum power point tracker to achieve this dual goal. This was then tested on a 11-level modular multilevel converter at several different irradiance levels between different modules. These tests show that if all the modules have an irradiances of …

PV-powered base stations equipped by UAVs in urban areas

Authors

Mahshid Javidsharifi,Hamoun Pourroshanfekr Arabani,Tamas Kerekes,Dezso Sera,Josep M Guerrero

Published Date

2022/9/26

Recently, the application of unmanned aerial vehicles (UAVs) to support the base stations in cellular telecommunication networks attracts attentions. UAV-assisted base stations can provide the extra users’ demand in extreme and/ or unpredictable situations such as Olympic Games to avoid extra cost of installing ground base stations. In this paper, a PV-battery power system is presented to supply UAV-assisted base stations in cellular telecommunication networks in urban areas to prevent environmental issues as well as to reduce the cost of fulfilling the energy demand. First, the energy consumption profile of the batteries of UAVs is estimated. Afterwards, the impact of the PV system sizing and battery capacity are studied based on sensitivity analysis.

See List of Professors in Dezso Sera University(Queensland University of Technology)

Dezso Sera FAQs

What is Dezso Sera's h-index at Queensland University of Technology?

The h-index of Dezso Sera has been 36 since 2020 and 44 in total.

What are Dezso Sera's top articles?

The articles with the titles of

Lithium-Ion Supercapacitors and Batteries for Off-Grid PV Applications: Lifetime and Sizing

Sizing of Hybrid Supercapacitors and Lithium-Ion Batteries for Green Hydrogen Production from PV in the Australian Climate

A New Non-Isolated High-Gain Single-Switch DC-DC Converter with Continuous Input Current

Review of multiport modular multilevel converters for residential applications: A control perspective

Sliding-Mode-Based Control Strategy for a Solar Multi-Port Three-Level DC-DC Converter Under Harsh System Uncertainty

Stability analysis for DC-link voltage controller design in single-stage single-phase grid-connected PV inverters

A quadratic buck-boost converter with continuous input and output currents

On Improved PSO and Neural Network P&O Methods for PV System under Shading and Various Atmospheric Conditions

...

are the top articles of Dezso Sera at Queensland University of Technology.

What are Dezso Sera's research interests?

The research interests of Dezso Sera are: photovoltaic systems, power electronics, renewable energy

What is Dezso Sera's total number of citations?

Dezso Sera has 8,987 citations in total.

What are the co-authors of Dezso Sera?

The co-authors of Dezso Sera are Frede Blaabjerg, Remus Teodorescu, Marco Liserre, Tamás Kerekes, Sergiu Viorel Spataru, Laszlo Mathe.

    Co-Authors

    H-index: 197
    Frede Blaabjerg

    Frede Blaabjerg

    Aalborg Universitet

    H-index: 104
    Remus Teodorescu

    Remus Teodorescu

    Aalborg Universitet

    H-index: 89
    Marco Liserre

    Marco Liserre

    Christian-Albrechts-Universität zu Kiel

    H-index: 42
    Tamás Kerekes

    Tamás Kerekes

    Aalborg Universitet

    H-index: 24
    Sergiu Viorel Spataru

    Sergiu Viorel Spataru

    Danmarks Tekniske Universitet

    H-index: 19
    Laszlo Mathe

    Laszlo Mathe

    Aalborg Universitet

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