scholarly journals A Sustainable Energy Distribution Configuration for Microgrids Integrated to the National Grid Using Back-to-Back Converters in a Renewable Power System

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1826
Author(s):  
Reza Alayi ◽  
Farhad Zishan ◽  
Mahdi Mohkam ◽  
Siamak Hoseinzadeh ◽  
Saim Memon ◽  
...  
Keyword(s):  
Power System ◽  
Power Management ◽  
Transmission Lines ◽  
Power Distribution ◽  
Mathematical Formulation ◽  
Harmonic Distortion ◽  
Current Configuration ◽  
Renewable Power ◽  
Network Output ◽  
Control Configuration

A desire to produce power in microgrids has grown as the demand for electricity has expanded and the cost of installing modern transmission lines over long distances has become infeasible. As such, microgrids pose DC/AC harmonic distortion losses to the voltage supply that eventually fluctuate the output voltage. The key takeaways that this study presents are: (a) a configuration for microgrids integrated to the national grid using back-to-back converters in a renewable power system is achieved; (b) different scenarios of various schemes of sustainability of the power management in microgrids are analyzed; and (c) the reliable and stable network output power distribution is achieved. In this, the proposed control configuration provides space for construction and stability of the power system with sustainability of the power management. The results show that this current configuration works and stabilizes the network in the shortest time possible, and that the DC connection voltage is regulated and maintains reliable network output despite declining slope controllers, DC power and voltage, and power electronic back-to-back converters. Overall, the simulation results show that the proposed system shows acceptable performance under different scenarios. The accuracy of the results is validated with mathematical formulation simulation using MATLAB software. This system can be utilized in distant regions where there is no power grid or in areas where, despite having a power infrastructure, renewable energies are used to supply the output load for the majority of the day and night.

Harmonic distortion minimization in power system using differential evolution based active power filters

2020 ◽  
Vol 13 ◽  
Author(s):  
Alok Kumar Mishra ◽  
Soumya Ranjan Das ◽  
Prakash Kumar Ray ◽  
Ranjan Kumar Mallick ◽  
Himansu Das
Keyword(s):  
Power System ◽  
Power Distribution ◽  
Computer Network ◽  
Distribution Network ◽  
Harmonic Distortion ◽  
Pso Algorithm ◽  
Global Optimum ◽  
Phase System ◽  
Power Distribution Network ◽  
Three Phase

Aims : The main focus in this work is to improve balanced and sinusoidal grid currents by feeding compensating current at point of common coupling (PCC). Background: In recent years the advancement in electronics and electrical appliances are widely improved and are also more sophisticated. These appliances require uninterrupted and quality power. Therefore in the growing power system scenario, several issues like malfunction of electrical sensitive devices, overheat in transformer, interference in communication, failures in computer network etc., adversely affects the power quality (PQ). These issues are generated due to rapid use of non-linear loads in three-phase system which generates harmonics in the system. To overcome from these PQ issues, several PQ mitigation custom power devices are integrated in power distribution network. But, the conventional PQ mitigation devices are insufficient to eliminate PQ problems such as current and voltage harmonics, voltage sag/swell and voltage unbalances associated with the power distribution network. Objective : The objective of using A-PSO is to find the global optimum of the spread factor parameter at the upper level. APSO, has a faster convergence speed and correct response compared to the PSO algorithm. Method : SO A-PSO M p-q. Result: A-PSO is giving better results than PSO. Conclusion : A three-phase system with SHAPF injected at PCC is proposed in this paper. The SHAPF injects filter current at PCC for supressing the harmonics using a modified pq scheme. For controlling the PIC, two optimised parameters are discussed and found that reducing the harmonics distortions using A-PSO is giving better results compare to the conventional PSO.

Application of Virtual Visualization in Smart Power Distribution System

2012 ◽  
Vol 614-615 ◽  
pp. 1908-1912
Author(s):  
Zhi Gao Liu ◽  
Shou Xiang Wang
Keyword(s):  
Power System ◽  
Transmission Lines ◽  
Power Distribution ◽  
Distribution System ◽  
Physical Simulation ◽  
Three Dimensional ◽  
Image Synthesis ◽  
Electrical Equipment ◽  
Smart Power ◽  
Power Distribution System

With the increasing development of the power system, particularly, with the proposing of smart grid and the applying of distributed generation technology, the traditional geographic information system (GIS) which relies on the tables, graphs, has become more and more difficult to meet the needs of power system equipment management, and planning. Three-dimensional (3D) GIS has developed to meet the requirement appropriately. In this paper, we choose ArcGIS as the development platform, ESRI CityEngine 2011 and Google SketchUp as the 3D modeling software. By combining the virtual reality(VR) technology and image synthesis technology, a 3D power distribution system is established, which realizes the 3D physical simulation of the transmission lines, electrical equipment, power distribution stations, and distributed generators. This methodology provides a new vision for the modernization of the power distribution system management.

Power Management of a Portable Proton Exchange Membrane Fuel Cell-Battery Power System

2010 ◽  
Author(s):  
Yan Zhang ◽  
Biao Zhou
Keyword(s):  
Fuel Cell ◽  
Power System ◽  
Power Management ◽  
Power Distribution ◽  
Proton Exchange Membrane ◽  
Pem Fuel Cell ◽  
Proton Exchange ◽  
Management Approach ◽  
Battery Power ◽  
Exchange Membrane

A portable Proton Exchange Membrane (PEM) fuel cell-battery power system with hydrogen as fuel has higher power density than conventional batteries and is one of the promising environment-friendly small-scale alternative energy sources. Power management system, as the major control system in the portable PEM fuel cell-battery power system, directly controls the fuel cell stack sub-system, battery charging sub-system and power distribution control sub-system. How to design the power management system is one of the critical issues in optimizing the power system performance, efficiency and components life time. In this study, a set of portable PEM fuel cell-battery system model is introduced. A power management approach with an emergency shutdown function is presented, which not only balances the power distribution between fuel cell and battery at prescribed load condition, but also controls the battery charging cycles to extend the battery life. The simulation results shows the proposed power management approach can effectively control the system performance as expected.

Random Forest Based Power Sustainability and Cost Optimization in Smart Grid

2022 ◽  
Author(s):  
Danalakshmi D ◽  
Łukasz Wróblewski ◽  
Sheela A ◽  
A. Hariharasudan ◽  
Mariusz Urbański
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Smart Grid ◽  
Power Management ◽  
Power Distribution ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Experimental Results ◽  
Time Duration ◽  
Renewable Power

Presently power control and management play a vigorous role in information technology and power management. Instead of non-renewable power manufacturing, renewable power manufacturing is preferred by every organization for controlling resource consumption, price reduction and efficient power management. Smart grid efficiently satisfies these requirements with the integration of machine learning algorithms. Machine learning algorithms are used in a smart grid for power requirement prediction, power distribution, failure identification etc. The proposed Random Forest-based smart grid system classifies the power grid into different zones like high and low power utilization. The power zones are divided into number of sub-zones and map to random forest branches. The sub-zone and branch mapping process used to identify the quantity of power utilized and the non-utilized in a zone. The non-utilized power quantity and location of power availabilities are identified and distributed the required quantity of power to the requester in a minimal response time and price. The priority power scheduling algorithm collect request from consumer and send the request to producer based on priority. The producer analysed the requester existing power utilization quantity and availability of power for scheduling the power distribution to the requester based on priority. The proposed Random Forest based sustainability and price optimization technique in smart grid experimental results are compared to existing machine learning techniques like SVM, KNN and NB. The proposed random forest-based identification technique identifies the exact location of the power availability, which takes minimal processing time and quick responses to the requestor. Additionally, the smart meter based smart grid technique identifies the faults in short time duration than the conventional energy management technique is also proven in the experimental results.

scholarly journals Distribution system power quality compensation using a HSeAPF based on SRF and SMC features

2021 ◽  
Author(s):  
Akram Qashou ◽  
Sufian Yousef ◽  
Abdallah A. Smadi ◽  
Amani A. AlOmari
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Reactive Power ◽  
Sliding Mode ◽  
Distribution Network ◽  
Harmonic Distortion ◽  
Phase Locked Loop ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Non Linear

AbstractThe purpose of this paper is to describe the design of a Hybrid Series Active Power Filter (HSeAPF) system to improve the quality of power on three-phase power distribution grids. The system controls are comprise of Pulse Width Modulation (PWM) based on the Synchronous Reference Frame (SRF) theory, and supported by Phase Locked Loop (PLL) for generating the switching pulses to control a Voltage Source Converter (VSC). The DC link voltage is controlled by Non-Linear Sliding Mode Control (SMC) for faster response and to ensure that it is maintained at a constant value. When this voltage is compared with Proportional Integral (PI), then the improvements made can be shown. The function of HSeAPF control is to eliminate voltage fluctuations, voltage swell/sag, and prevent voltage/current harmonics are produced by both non-linear loads and small inverters connected to the distribution network. A digital Phase Locked Loop that generates frequencies and an oscillating phase-locked output signal controls the voltage. The results from the simulation indicate that the HSeAPF can effectively suppress the dynamic and harmonic reactive power compensation system. Also, the distribution network has a low Total Harmonic Distortion (< 5%), demonstrating that the designed system is efficient, which is an essential requirement when it comes to the IEEE-519 and IEC 61,000–3-6 standards.

scholarly journals Optimal Allocation of Multiple Types of Distributed Generations in Radial Distribution Systems Using a Hybrid Technique

2021 ◽  
Vol 13 (12) ◽  
pp. 6644
Author(s):  
Ali Selim ◽  
Salah Kamel ◽  
Amal A. Mohamed ◽  
Ehab E. Elattar
Keyword(s):  
Power System ◽  
Radial Distribution ◽  
Distribution Systems ◽  
Optimal Allocation ◽  
Optimization Technique ◽  
Mathematical Formulation ◽  
Optimization Techniques ◽  
Sensitivity Factor ◽  
Hybrid Technique ◽  
Analytical Technique

In recent years, the integration of distributed generators (DGs) in radial distribution systems (RDS) has received considerable attention in power system research. The major purpose of DG integration is to decrease the power losses and improve the voltage profiles that directly lead to improving the overall efficiency of the power system. Therefore, this paper proposes a hybrid optimization technique based on analytical and metaheuristic algorithms for optimal DG allocation in RDS. In the proposed technique, the loss sensitivity factor (LSF) is utilized to reduce the search space of the DG locations, while the analytical technique is used to calculate initial DG sizes based on a mathematical formulation. Then, a metaheuristic sine cosine algorithm (SCA) is applied to identify the optimal DG allocation based on the LSF and analytical techniques instead of using random initialization. To prove the superiority and high performance of the proposed hybrid technique, two standard RDSs, IEEE 33-bus and 69-bus, are considered. Additionally, a comparison between the proposed techniques, standard SCA, and other existing optimization techniques is carried out. The main findings confirmed the enhancement in the convergence of the proposed technique compared with the standard SCA and the ability to allocate multiple DGs in RDS.

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