International Journal of Power Electronics and Drive Systems (IJPEDS)
International Journal of Power Electronics and Drive Systems (IJPEDS, ISSN: 2088-8694, a SCOPUS indexed Journal) is the official publication of the Institute of Advanced Engineering and Science (IAES). The scope of the journal includes all issues in the field of Power Electronics and drive systems. Included are techniques for advanced power semiconductor devices, control in power electronics, low and high power converters (inverters, converters, controlled and uncontrolled rectifiers), Control algorithms and techniques applied to power electronics, electromagnetic and thermal performance of electronic power converters and inverters, power quality and utility applications, renewable energy, electric machines, modelling, simulation, analysis, design and implementations of the application of power circuit components (power semiconductors, inductors, high frequency transformers, capacitors), EMI/EMC considerations, power devices and components, sensors, integration and packaging, induction motor drives, synchronous motor drives, permanent magnet motor drives, switched reluctance motor and synchronous reluctance motor drives, ASDs (adjustable speed drives), multi-phase machines and converters, applications in motor drives, electric vehicles, wind energy systems, solar, battery chargers, UPS and hybrid systems and other applications.
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Firefly analytical hierarchy algorithm for optimal allocation and sizing of DG in distribution network
Noor Ropidah Bujal;
Aida Fazliana Abdul Kadir;
Marizan Sulaiman;
Sulastri Manap;
Mohamad Fani Sulaima
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i3.pp1419-1429
Distributed generation (DG) can be beneficially allocated in distribution power systems to improve the power system's efficiency. However, specious DG's allocation and sizing may cause more power loss and voltage profile issues for distribution feeders. Therefore, optimization algorithms are vital for future intelligent power distribution network planning. Hence, this study proposes a multi-objective firefly analytical hierarchy algorithm (FAHA) for determining the optimal allocation and sizing of DG. The multi-objective function formulation is improved further by integrating analytical hierarchy process (AHP) with FA to obtain the weight of the coefficient factor (CF). The performance of the proposed approach is verified on the 118-bus radial distribution network with different bus voltage at DG location (VDG) as regulated PV-bus during load flow calculations. The calculated CF and impact of the unregulated voltage at the PV-bus on the objectives function have been analysed. The findings show that the proposed techniques could allocate the DG at the most voltage deviation while minimizing the power loss and improving the radial distribution’s voltage stability index (VSI). The experimental results indicate that the approach is able to improve the overall voltage profile, especially at PQ-buses, minimize the power loss while improving the network's stability index simultaneously.
Fixed-time control of voltage dynamics of three-phase voltage source inverters with LC output filter
Mohamed Ghazzali;
Mohamed Haloua;
Fouad Giri
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i3.pp1843-1853
This paper puts forward a fixed-time cascade voltage control system for threephase voltage source inverters (VSIs) with LC output filter.First, a feedforward decoupling mechanism is used to elminate the dependency between the d-q parts of the control system. Then, proportional-integral (PI) regulators are used for current control in the inner loop. The current reference is provided by a novel VSI control technique developed for fixed-time voltage regulation and reference tracking. The approach suggested in this work tracks and maintains the voltage magnitude at its normalized value in a finite-time and before a maximum settling-time fixed in advance and independent of the system’s initial state. The voltage controller also maintains current stability by providing a smoother and smaller current reference. A comparative study with VSI conventional PI control for linear, nonlinear and unbalanced loads confirms the theoretical results.
The optimal order configuration of turbines in a small hydropower plant: A case study of the Lepenci River in Kosovo
Arlinda Bresa;
Bedri Dragusha;
Xhevat Berisha;
Rexhep Selimaj
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i3.pp1675-1683
Decentralized electricity production from small hydropower plants used for domestic and ancillary services has been established among the most reliable renewable energy sources for isolated locations. However, many factors impact the energy efficiency and the production capacity of such hydropower plants, one of these factors being the order configuration of the connected turbines. Hence, this research presents a performance evaluation of a small hydropower plant consisting of three francis turbines, and it elicits the optimal order configuration of the connected operating turbines, that yields the highest power output under varying conditions. Three scenarios with different order configurations of turbines are presented and compared in a “run-of-the-river” setting, installed in the Lepenci River, in south-eastern Kosovo. Numerical analyses are used to evaluate the performance of each scenario. The results show that the order configuration of the operating turbines based on their connection order has a significant impact on the electricity production.
New improved MPPT based on artificial neural network and PI controller for photovoltaic applications
Yassine El Aidi Idrissi;
Khalid Assalaou;
Lahoussine Elmahni;
Elmostafa Aitiaz
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i3.pp1791-1801
This paper details an maximum power point tracking (MPPT) approach based on artificial neural network (ANN) to track the maximum power produced by a PV panel. This approach is rapid and accurate for following the maximum power point (MPP) during changes in weather conditions such as solar irradiation and temperature. A PV system structure including an MPPT controller is studied, designed, and simulated in this work. The aim of this paper is to use the artificial neural network (ANN) technique to develop a MPPT controller for PV applications. To increase the performance of the ANN-MPPT controller, a proportional integral (PI) controller is also included. In addition, the performance of an ANN-based MPPT controller is also compared to the conventional perturb and observe (P&O) method. To analyze the results, simulations are performed by using MATLAB software.
Improved crowbar protection technique for DFIG using fuzzy logic
Zineb En-nay;
Ismail Moufid;
Aboubakr El Makrini;
Hassane El Markhi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i3.pp1779-1790
A doubly-fed induction generator is the most widely used as a wind turbine generator. Due to its drawbacks, doubly fed induction generator (DFIG) is extremely sensitive to grid disturbances, and the fragility of some components which are costly to the producer. Also, its acquisition value is very high in terms of maintenance time or component cost, causing substantial harm to both the energy production and power supplier. It is required that the DFIG components must be protected, especially power electronics devices and DC-Link capacitor. Therefore, this paper presents an improved crowbar strategy for DFIG. This method is based on the AI technique concept of utilizing a fuzzy logic controller. The main goal of this project is to improve the system performance by reducing the dangerous oscillations of electromagnetic torque, DC-link voltage, and rotor current during fault. This work consists of replacing the hysteresis control for the crowbar with fuzzy logic to realize crowbar-FLC. The proposed crowbar is based on free light chain (FLC) depending on rotor currents and DC-link voltage measurements. The control strategy is simulated in the MATLAB Simulink platform to evaluate the efficiency of the suggested technique.
A nonlinear model for a three-phase 12/8 switched reluctance machine
Dimitar Kirov Yankov;
Tsvetana Grigorova Grigorova
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i3.pp1576-1587
The paper presents a methodology for the synthesis of a nonlinear model for a three-phase 12/8 switched reluctance machine (SRM) in a MATLAB/Simulink environment. The required switched reluctance motor characteristics are derived using the finite element analysis (FEA). Graphical and tabular results of the relations flux/current/position, current/torque/position, and inductance/current/position used to create the SRM model are presented. The structure of the nonlinear three-phase 12/8 SRM model is discussed and its implementation in Simulink is presented. A series of simulation and experimental results are performed to verify the accuracy of the built three-phase, 12/8 SRM (H55PWBKM-1844) nonlinear model. A very good alignment between simulation and experimental results is observed.
High step-up DC-DC converter with switched capacitor-coupled inductor and voltage multiplier module
Subbulakshmy Ramamurthi;
Palanisamy Ramasamy
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i3.pp1599-1604
A high step-up dc-dc converter based on a switched capacitor-coupled inductor (SC-CL) with voltage multiplier cells is proposed. It is composed of a SC-CL and a voltage multiplier module stacked on the load side. SC-CL produces the maximum output voltage with maximum voltage gain. These features make the projected converter suitable for renewable energy applications such as solar photovoltaic (PV). A low turn ratio of the coupled inductor is used for realizing the higher gain. It consists of a voltage boost unit SC-CL and a voltage multiplier module. In a DC micro-grid, PV energy is one of the utmost significant sources of power. Since the PV source voltage is very low, a very high voltage gain converter is required for a DC microgrid. Here, a step-up DC-DC converter topology with a very high voltage gain characteristic is proposed. The projected converter was simulated by MATLAB/Simulink to convert 30 V to 380 V.
Fault-tolerant control with high-order sliding mode for manipulator robot
Khaoula Oulidi Omali;
Mohammed Nabil Kabbaj;
Mohammed Benbrahim
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i3.pp1854-1869
The safety of manipulators systems is receiving a lot of attention these days. Faults have the ability to carry out harmful activities that harm equipment, the environment, or persons. As a result, it is critical to detect and diagnose problems as soon as possible, as well as to incorporate fault tolerance to avoid performance deterioration and harmful circumstances. Robust sensor fault detection and isolation (FDI) as well as fault-tolerant control (FTC) for a robotic system are discussed in this work. The goal of this research is to create an FDI method that uses a super-twisting third-order sliding mode (STW-TOSM) observer to estimate residual signals. A suggested system based on a higher-order sliding mode (HOSM) observer/controller approaches is used to accomplish this. In comparison to an active FTC technique, the test results demonstrate high level of performance. Finally, simulation results illustrate the efficacy of the presented techniques.
Design and implementation of optimal controller for DFIG-WT using autonomous groups particle swarm optimization
Hatem Mohamed Seoudy;
Mohamed Attya Saadeldin;
Wael Abdelfattah Mohamed
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i3.pp1813-1821
There are many types of generators used within wind energy such as doubly fed induction generator (DFIG). Particle swarm optimization (PSO) algorithm is simple, robust and easy to implement. In addition to the privilege of PSO, autonomous groups particle swarm optimization (AGPSO) has the advantages of using diverse autonomous groups which result in more randomized and directed search. Applying AGPSO to tune PI controller to control DFIG is proposed in this paper. An implemented laboratory prototype consists of brushless DC motor (BLDC) for simulating the various wind speeds. Wound rotor induction machine, working as DFIG. This system is a stand-alone system. System identification strategy was introduced in this work. In this study, AGPSO is suggested for tuning the PI controller. Different case studies are performed, such as step changes in both speed and electrical load for showing the effectiveness of the proposed algorithm. For comparison PSO is used to tune the PI controller. Results from experiments clarify the feasibility of the proposed methodology. It is approved that AGPSO achieves the prevalent control execution (quicker transient response and more modest steady state error (ess)) contrasted with the PSO in tuning PI controller when applied to be used with off-grid systems.
Assessment of field oriented induction machine control strategy using new generation of inverters in BB36000 locomotive
Hamid chaikhy;
Mouna Es-saadi;
Mohamed Khafallah
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i3.pp1295-1304
Due to their excellent characteristics; Reaching high voltage inverters by using lower voltage switches, reduced output current distortion, dv/dt, and switching losses decrease, efficiency rise, multilevel inverters are an interesting alternative to the two-level inverters especially in traction applications. Many studies compared both topologies, but this work compare performances of Field oriented control strategy using two levels and neutral point piloted three levels inverter supplied by space pulse width modulation. Based on real parameters, this work shows that this efficient multilevel inverter reduces current distortion and torque ripples in a manner to reduces the size and cost of all railway traction systems chosen for this work