This paper aims to investigate the performance of a bidirectional DC-DC converter utilizing an ANFIS-PID controller in closed-loop mode. This is because operating a bidirectional DC-DC converter in open-loop mode can result in several problems, including poor regulation, limited flexibility, and limited performance, especially in transient response and efficiency. Additionally, there is a risk of […]
The main objectify of this article subject is the study and feasibility of micro wind turbine used for small farms , the electrical power generated from an axial flux permanent magnet generator , when the power scale is in direct correlation with wind velocity. The proposed design shows more economic costs with accepted recovered power […]
The current research introduces an enhanced buck converter. The introduced converter improves the performance of similar converters thanks to causing lower switch voltage stress, higher efficiency and fewer number of elements. To make use of low voltage MOSFETs with a smaller ON resistance, using multiple switching strategies would reduce the voltage stress across the switch […]
This study examines the behavior of carbon nanotube field effect transistors under ballistic conditions by analyzing the effect of gate (α_G) and drain (α_D) control coefficient modifications on the device’s diameter. The effect of α_G and α_D on the outcome of CNTFETs has been thoroughly investigated, and the performance of the device has been evaluated […]
This article describes the use of a sliding mode controller (SMC) in conjunction with an integral (PI) controller for a MLI based DSTATCOM to balance dc side voltage, control a cascaded H-bridge inverter, and compensate for power quality issues related to current harmonics. Several benefits come with using SMC for DSTATCOMDC link voltage regulation, including […]
Short-term electrical load forecasting plays a pivotal role in modern energy systems, addressing the need for accurate predictions of electricity demand within a time frame ranging from a few hours to a few days. The implications of inaccurate predictions extend beyond operational challenges to potential economic and environmental consequences, emphasizing the critical role that short-term […]
In today’s society, the importance of creating highly reliable distribution networks cannot be overstated. Utilities face challenges in planning and developing these systems effectively, aiming to decrease costs and meet consumer demands. This research proposes a coordinated architecture that focuses on the integration of a Demand Response Program (DRP) to improve the reliability of power […]
This research paper introduces a modified single DC-sourced multilevel inverter (MLI) consisting of several cells made from a controlled switch, a diode, and a capacitor to generate voltage levels in series connection with the H-bridge. By increasing the number of cells more output voltage levels can be generated in proposition to 2n+3 for symmetrical multilevel […]
Due to the growing popularity of microgrids in buildings, the foreseeable electricity demand for a building draws the attention of many researchers. The precise short-term demand forecast efficiently directs building managers and operators for interactions with electrical distribution systems, daily operational decisions, and energy conservation. This research proposes a hybrid optimization-based deep learning (DL) approach […]
For transformer-less operation, a wind energy generating system (WEGS) with an 8.5 kW wind turbine and a 6.6 kW Z-source inverter (ZSI) is modelled. A closed-loop control technique is employed at the load side of the WEGS to obtain a constant voltage with a fluctuating load at the output side of the system. The ZSI […]
This paper presents the construction of a method to find the optimal route for ships with two criteria: fuel consumption and sailing time. Unlike most previous studies, the data used in this research was generated from a simulation model using the HIL (Hardward-In-The-Loop) technology instead of real operational data. The HIL simulator is built from […]
As an emerging technology, reversible computing enables the development of high-performance computing systems with low energy consumption. A residue number system (RNS) that performs arithmetic operations in parallel with error tolerance and no carry propagation requires forward and reverse converters to communicate with other digital circuits. Designing reversible forward and reverse converters using new technologies […]
