International Journal of Power Electronics and Drive Systems (IJPEDS)
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Energy saving of variable frequency drive in dust collector fan motors in the smelting process at the steel industry
Get PDFThe dust removal system is a crucial component in the steel industry, designed to eliminate dust and gas generated during the smelting process. Its primary purpose is to prevent personnel in the surrounding area from inhaling harmful dust particles. A dust collector system is used to carry out this process before being removed from the chimney to the outside air. In the operation of the dust collector, there is still limited attention given to optimizing its operation to meet the needs of its load, where the dust collector still operates at maximum capacity continuously when the dust load decreases due to the smelting process, in an idle state. Setting the rotational speed of the fan motor to produce an airflow rate as required using a variable frequency drive (VFD). The Motor speed was varied in low and high conditions at 322 rpm and 879 rpm. The research results showed that the average airflow rate for the speed of 322 rpm was 150,326 m³/h, and it has 384.193 m³/h at the speed of 879 rpm. The energy savings obtained from the application of VFD to control the airflow rate value are 1,253,544 kWh/year, and the cost savings obtained are IDR 1,249,457,447 per year
Low voltage fault ride-through operation of a photo-voltaic system connected utility grid by using dynamic voltage support scheme
Get PDFThis research suggests a control technique that makes use of a microgrid's energy storage and to enable low voltage ride through (LVRT) process with a flexible dynamic voltage support (DVS) system. First, the requirements for the microgrid's maximum DVS are stated, together with an explanation of how these requirements depend on the characteristics of the analogous network that the microgrid sees. In order to create a flexible DVS regardless of the changing system circumstances, reference signals for currents that are derived from maximum voltage tracking technique are suggested in this research. These signals take into account the challenges involved with real time parameter assessment in the context of transient voltage disruptions. Second, a control scheme is suggested to allow a microgrid's energy storage-based LVRT operation. Thirdly, a novel approach to energy storage sizing for LVRT operation is offered, taking into account the corresponding network characteristics, grid code requirements, and the rated current value of the power electronic converter. Real-time MATLAB simulations for low-voltage symmetrical faults are used to validate the suggested control technique
Improving electrical energy efficiency through hydroelectric power and turbine optimization at the El Oued water demineralization plant in Algeria
Get PDFThis paper presents an investigation into the energy potential of the Albian aquifer in the Algerian Sahara at the El Oued water demineralization plant, focusing on its capacity to generate electrical power due to its high-pressure and high-temperature water reserves. We designed and implemented a turbine-generator system to convert hydraulic energy into electricity, achieving an average annual energy output of 1,804,560 kWh, which translates to a financial gain of approximately 345,888,600 DZD per year from energy savings. The selection of a Francis turbine was justified based on its efficiency, which ranges from 90% to 95%, and the system design was simulated using MATLAB-Simulink, demonstrating its robustness and effectiveness in managing the electrical network parameters. Our economic analysis indicates a high return on investment, confirming the feasibility of utilizing the Albian aquifer as a strategic asset for clean and reliable energy production in the region
A new approach for optimal sizing and allocation of distributed generation in power grids
Get PDFThis paper presents a methodology for optimizing the allocation and sizing of distributed generators (DG) in electrical systems, aiming to minimize active power losses on transmission lines and maintain bus voltages within permissible limits. The approach consists of two stages. First, a sensitivity based analysis is used to identify the optimal candidate bus or buses for DG placement. In the second stage, a new random number generation method is applied to determine the optimal DG sizing. Moreover, a ranking for the optimal locations and sizes is given in case the optimal location is unavailable in real-world scenarios. The proposed methodology is demonstrated through a straightforward algorithm and tested on the IEEE 14-bus and IEEE 30-bus networks. Numerical simulations in MATLAB illustrate the effectiveness of the proposed approach in finding the optimal allocation of DG and the amount of active power to be allocated at the candidate buses, considering the inequality constraints regarding voltage limits and DG allowable power. The paper concludes with results, discussions, and recommendations derived from the proposed approach
Adaptive dung beetle optimization-based agile perturb and observe technique for energy management system
Get PDFEnergy storage system (ESS) plays a significant role in maximizing the use of renewable energies to ensure a balance between power generation and demand. ESS assists in maintaining grid stability by providing backup power during fluctuations or outages and smoothing out the variability of renewable energy source (RES). However, EMS fails to effectively balance dynamic interactions due to the unpredictable nature of renewable energy sources (RES) which results in a suboptimal performance. This research proposes an adaptive T-distribution dung beetle optimization-based agile perturb and observe technique (ADBO-APO) for EMS. Photovoltaic (PV) module, battery, and wind turbine are the three sources utilized to establish an effective EMS in a grid-connected system. The ADBO is applied to manage the switching between battery storage and wind turbines. The APO is utilized for triggering the bidirectional DC-DC switch to obtain stable power from wind, PV, and battery. APO enhances EMS by involving perturbation levels for optimal power extraction. It improves the stability and efficiency across variable energy sources. The proposed ADBO-APO achieves a superior average index of 1.2598×104 when compared to the existing method, levy flight quasi oppositional based learning smell agent optimization (LFQOBL-SAO)
Optimal solutions for a 33 KV loop supplied by infinite source
Get PDFThis paper presents an analysis and explores the potential an infinite generation system to accommodate the domestic load growth of the 33 KV loop network from 2025 to 2040. The study involves assessing the current state of the network, focusing on voltage levels, loading lines, and transformers, to ensure they operate within the permissible loading limits of the system. It is assumed that the loop is supplied by an infinite source. A numerical model using the Gauss-Seidel method is implemented and executed on the PSS/E simulator. We will simulate the current network state and analyze the voltage profile, which should range between 0.95 and 1.05 pu. Next, we forecast the demand based on the industrial growth of the cities interconnected to this 33 kV loop. Analysis the simulation results will demonstrate the possibility of increasing the transit active power and controlling the reactive power in the system at 2040 year. Indeed, we propose solutions to address the identified critical issues to meet the projected demand. These solutions involve doubling the power capacity of the existing transformers. The proposed system will provide industrial consumers with reduced load imbalances and better control over voltage fluctuations caused by rapid variations in reactive power demand
Enhancing engineering education in electric drive systems through integrated computer simulation modules
Get PDFThe integration of computer simulation modules in electric drive courses plays a pivotal role in modern engineering education by offering students hands-on experience and fostering a deeper understanding of theoretical concepts. This study highlights the significance of enhancing engineering education through an innovative simulation module designed to analyze electric drive systems. The module enables the specification of suitable converters and machines for speed and position control systems while focusing on the steady-state operations of AC and DC drives. Through simulation exercises, students explore converter circuit topologies, control strategies, and the two-quadrant operations of electric machines using fully controlled two-pulse bridge circuits, encompassing motoring and braking modes in the first and fourth quadrants. The proposed module demonstrates its effectiveness in bridging theory and practice, evidenced by significant improvements in students' comprehension of circuit configurations and control algorithms. The approach enhances critical thinking, problem-solving skills, and the ability to relate theoretical knowledge to practical applications. Future research will focus on extending the module's capabilities to incorporate additional quadrants of operation and advanced control strategies. By integrating such tools into the curriculum, educators can better prepare students for the evolving demands of engineering careers
Bidirectional AC/AC converter linking two microgrids in a flexible microgrid
Get PDFThe proposed single-phase flexible AC/AC converter in an AC microgrid controlled by the PWM method is presented and tested with a small capacity. This converter uses a simple and small number of semiconductor switches and passive elements to limit power loss and increase efficiency. It has higher reliability, safety, and continuity of power supply in operation than traditional AC/AC converters due to the power circuit structure of the converter. It has the function of increasing or decreasing voltage when connecting to two microgrids and can be directly connected to distributed energy sources in microgrid systems with distributed power sources and loads. Besides, the AC/AC converter can be connected to the storage system to improve continuity and voltage stability for the grid. The performance of the proposed converter is compared with existing similar converters. The paper presents the analysis of simulation results by OrCAD with power values from 0.1-5 kW and experimental power with typical values in the range of 0.5-3.5 kW at different scenarios of the converter
Prospects of using organic Rankine cycle for geothermal power generation
Get PDFThe relevance of this study stems from the desire to develop efficient and sustainable methods of energy extraction from low-temperature geothermal resources, which is of key importance in the context of finding alternative energy sources and reducing dependence on conventional, often non-renewable sources. The purpose of this study was to analyze the organic Rankine cycle (ORC) to improve the efficiency of energy recovery from low-temperature geothermal sources. The present study employed the analytical method, the deduction method, the induction method, the functional method, the classification method, the synthesis method. ORC applications for geothermal energy were comprehensively analyzed, with a focus on the investigation of low-temperature resources. The best cycle performance parameters were determined, considering diverse operating conditions. Concrete technical recommendations were developed for the selection of organic working media to improve system efficiency. The summarized findings highlight the potential of the ORC in enhancing the sustainability and efficiency of geothermal systems
The role of thermal insulation layers and the integration of solar energy in temporary heating systems
Get PDFThis paper examines thermal insulation strategies for building walls and the integration of solar heating systems to improve the performance of temporary heating systems in residential buildings in Kosovo. A two-story house was used as the case study, simulating four different scenarios of thermal insulation layer placement in the walls with different capacities of the heating system. The proposed thermal balance method of the building takes into account the arrangement of thermal insulation layers and their impact on the building’s energy savings. The results indicate that external insulation offers the best balance between heat retention and energy efficiency, while internal insulation enables faster heating and a shorter time to reach the desired temperature. Under low-temperature conditions, solar energy was analyzed and integrated as an additional source to enhance the heating system capacity and reduce electricity consumption. Simulation results demonstrate further improvement in system performance, enabling optimized operating schedules and a significant reduction in energy consumption