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Journal articles on the topic 'Off-the-grid methods'

Author: Grafiati

Published: 23 February 2024

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1

Laville, Bastien, Laure Blanc-Féraud, and Gilles Aubert. "Off-The-Grid Variational Sparse Spike Recovery: Methods and Algorithms." Journal of Imaging 7, no. 12 (2021): 266. http://dx.doi.org/10.3390/jimaging7120266.

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Gridless sparse spike reconstruction is a rather new research field with significant results for the super-resolution problem, where we want to retrieve fine-scale details from a noisy and filtered acquisition. To tackle this problem, we are interested in optimisation under some prior, typically the sparsity i.e., the source is composed of spikes. Following the seminal work on the generalised LASSO for measures called the Beurling-Lasso (BLASSO), we will give a review on the chief theoretical and numerical breakthrough of the off-the-grid inverse problem, as we illustrate its usefulness to the

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Ling, Yun, Huotao Gao, Guobao Ru, Haitao Chen, Boya Li, and Ting Cao. "Grid Reconfiguration Method for Off-Grid DOA Estimation." Electronics 8, no. 11 (2019): 1209. http://dx.doi.org/10.3390/electronics8111209.

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Off-grid algorithms for direction of arrival (DOA) estimation have become attractive because of their advantages in resolution and efficiency over conventional ones. In this paper, we propose a grid reconfiguration direction of arrival (GRDOA) estimation method based on sparse Bayesian learning. Unlike other off-grid methods, the grid points of GRDOA are treated as dynamic parameters. The number and position of the grid points are varied iteratively via a root method and a fission process. Then, the grid gets reconfigured through some criteria. By iteratively updating the reconfigured grid, DO

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Sunday, Joshua, Chibuisi Chigozie, Ezekiel O. Omole, and John B. Gwong. "A Pair of Three-Step Hybrid Block Methods for the Solutions of Linear and Nonlinear First-Order Systems." European Journal of Mathematics and Statistics 3, no. 1 (2022): 13–23. http://dx.doi.org/10.24018/ejmath.2022.3.1.86.

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In this research paper, a pair of three-step hybrid block methods is derived for the solutions of linear and nonlinear first-order systems. The derivation is carried out with the aid of collocation and interpolation technique and the adoption of power series as basis function. The first and second three-step hybrid block methods are derived by incorporating a single and double off-grid point(s) respectively within the three-step integration interval. The methods derived were then applied on some linear and nonlinear first-order systems to test their accuracy and efficiency. The results obtaine

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Liu, Song, Lan Tang, Yechao Bai, and Xinggan Zhang. "A Sparse Bayesian Learning-Based DOA Estimation Method With the Kalman Filter in MIMO Radar." Electronics 9, no. 2 (2020): 347. http://dx.doi.org/10.3390/electronics9020347.

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The direction of arrival (DOA) estimation problem as an essential problem in the radar system is important in radar applications. In this paper, considering a multiple-input and multiple-out (MIMO) radar system, the DOA estimation problem is investigated in the scenario with fast-moving targets. The system model is first formulated, and then by exploiting both the target sparsity in the spatial domain and the temporal correlation of the moving targets, a sparse Bayesian learning (SBL)-based DOA estimation method combined with the Kalman filter (KF) is proposed. Moreover, the performances of tr

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Atik, Md Atik-Uz-Zaman, and Abu Osman Al Mahbub. "Modeling Electricity Bill with the Reflection of CO2 Emissions and Methods of Implementing AMI for Smart Grid in Bangladesh." International Journal of Intelligent Systems and Applications 14, no. 5 (2022): 14–21. http://dx.doi.org/10.5815/ijisa.2022.05.02.

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Taking into consideration the lack of circumstantial alertness, automated fault analysis and labor-saving switches, the present-day electrical power grid system has been deteriorating day by day. The backbone technology of this grid system is too ill-fitted to the on-going demand for electricity. Despite the fact that the government of Bangladesh has set a new target of reaching the total power generation to be 40,000 MW by 2030. Hence the infrastructure and corresponding technology of the electrical power sector are required to be modernized to cope with this gigantic target within a short ti

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Zhou, Xiaoli, Hongqiang Wang, Yongqiang Cheng, Yuliang Qin, and Haowen Chen. "Radar Coincidence Imaging for Off-Grid Target Using Frequency-Hopping Waveforms." International Journal of Antennas and Propagation 2016 (2016): 1–16. http://dx.doi.org/10.1155/2016/8523143.

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Radar coincidence imaging (RCI) is a high-resolution staring imaging technique without the limitation of the target relative motion. To achieve better imaging performance, sparse reconstruction is commonly used. While its performance is based on the assumption that the scatterers are located at the prediscretized grid-cell centers, otherwise, off-grid emerges and the performance of RCI degrades significantly. In this paper, RCI using frequency-hopping (FH) waveforms is considered. The off-grid effects are analyzed, and the corresponding constrained Cramér-Rao bound (CCRB) is derived based on t

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Audu, Haliru, Ahmed Adamu, and OlaJide Oladipo. "A mixed-methods study on the determinants of solar home systems utilization in rural, off-grid Nigeria." Journal of Global Economics and Business 4, no. 14 (2023): 16–44. http://dx.doi.org/10.58934/jgeb.v4i14.171.

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This study employs a mixed-methods research approach to scrutinize the varied determinants influencing the willingness of off-grid rural households in Kwara State, Nigeria, to adopt Solar Home Systems (SHS). Integrating quantitative survey data from 400 households, qualitative findings derived from semi-structured interviews, and secondary data, the research provides a robust empirical framework. Through the application of Interval Regression and Tobit models, the analysis pinpoints income and education as key positive drivers towards SHS adoption, yet reveals a contrasting gender divide. Inte

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Ma, Jitong, Jiacheng Zhang, Zhengyan Yang, and Tianshuang Qiu. "Off-Grid DOA Estimation Using Sparse Bayesian Learning for MIMO Radar under Impulsive Noise." Sensors 22, no. 16 (2022): 6268. http://dx.doi.org/10.3390/s22166268.

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Direction of arrival (DOA) estimation is an essential and fundamental part of array signal processing, which has been widely used in radio monitoring, autonomous driving of vehicles, intelligent navigation, etc. However, it remains a challenge to accurately estimate DOA for multiple-input multiple-output (MIMO) radar in impulsive noise environments. To address this problem, an off-grid DOA estimation method for monostatic MIMO radar is proposed to deal with non-circular signals under impulsive noise. In the proposed method, firstly, based on the property of non-circular signal and array struct

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Guo, Jia, Zhi Gang Li, Ya Ping Cheng, and Chun Yan Cui. "The Research of Two Staged Non-Isolated Photovoltaic Grid Connected Inverter Control Method." Advanced Materials Research 773 (September 2013): 139–42. http://dx.doi.org/10.4028/www.scientific.net/amr.773.139.

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Grid-connected inverter topologies and control methods are analyzed and compared on the basis of two non-isolated PV grid-connected inverter circuit topology as 3kVA grid connected PV systems. In this paper, the current control method, the DC bus voltage outer grid current inner loop of the dual closed-loop PI control method. Sampled signal through the system circuit for processing, resulting in a SPWM drive signal to control the conduction of the power devices off the grid current control.

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Chibuisi, C., B. O. Osu, S. O. Edeki, G. O. Akinlabi, C. Olunkwa, and O. P. Ogundile. "Implementation of Two-step Hybrid Block Adams Moulton Solution Methods for First Order Delay Differential Equations." Journal of Physics: Conference Series 2199, no. 1 (2022): 012017. http://dx.doi.org/10.1088/1742-6596/2199/1/012017.

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Abstract In this paper, Hybrid Block Adams Moulton Methods for step number k = 2 merged with two and three off-grid points were obtained and implemented in solving first order delay differential equations without the use of interpolation condition in evaluating the delay expression. The discrete schemes of these off-grid hybrid block methods were assessed through the continuous development of the linear multistep collocation method using a matrix conversion formula. The results obtained after the implementation of the proposed method in for numerical experiment of some first-order DDEs, the BH

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BENTON, J. R., S. S. IYENGAR, W. DENG, N. BRENER, and V. S. SUBRAHMANIAN. "TACTICAL ROUTE PLANNING: NEW ALGORITHMS FOR DECOMPOSING THE MAP." International Journal on Artificial Intelligence Tools 05, no. 01n02 (1996): 199–218. http://dx.doi.org/10.1142/s0218213096000146.

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This paper defines a new approach and investigates a fundamental problem in route planners. This capability is important for robotic vehicles(Martian Rovers, etc.) and for planning off-road military maneuvers. The emphasis throughout this paper will be on the design and analysis and hieiaichical implementation of our route planner. This work was motivated by anticipation of the need to search a grid of a trillion points for optimum routes. This cannot be done simply by scaling upward from the algorithms used to search a grid of 10,000 points. Algorithms sufficient for the small grid are totall

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Si, Weijian, Fuhong Zeng, Changbo Hou, and Zhanli Peng. "A Sparse-Based Off-Grid DOA Estimation Method for Coprime Arrays." Sensors 18, no. 9 (2018): 3025. http://dx.doi.org/10.3390/s18093025.

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Recently, many sparse-based direction-of-arrival (DOA) estimation methods for coprime arrays have become popular for their excellent detection performance. However, these methods often suffer from grid mismatch problem due to the discretization of the potential angle space, which will cause DOA estimation performance degradation when the target is off-grid. To this end, we proposed a sparse-based off-grid DOA estimation method for coprime arrays in this paper, which includes two parts: coarse estimation process and fine estimation process. In the coarse estimation process, the grid points clos

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Li, Jianfeng, Xiong Xu, Ping Li, and Qiting Zhang. "Partial Dictionary Based Off-Grid DOA Estimation Using Combined Coprime and Nested Array." Wireless Communications and Mobile Computing 2021 (May 27, 2021): 1–8. http://dx.doi.org/10.1155/2021/9939651.

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A partial dictionary based direction of arrival (DOA) estimation method which addresses the off-grid problem and exploits combined coprime and nested array (CCNA) is proposed. Compared to general coprime array, CCNA yields two sparse coprime subarrays in the coarray domain by adding a third subarray in the physical-array domain. To ensure the DOA estimation performance, the subarray with larger aperture is chosen, and the cyclic phase ambiguity caused by the sparse subarray allows partial dictionary covering arbitrary cycle to represent the whole atoms, and then, the off-grid sparse reconstruc

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14

Gong, Zhenghui, Xiaolong Su, Panhe Hu, Shuowei Liu, and Zhen Liu. "Deep Unfolding Sparse Bayesian Learning Network for Off-Grid DOA Estimation with Nested Array." Remote Sensing 15, no. 22 (2023): 5320. http://dx.doi.org/10.3390/rs15225320.

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Recently, deep unfolding networks have been widely used in direction of arrival (DOA) estimation because of their improved estimation accuracy and reduced computational cost. However, few have considered the existence of a nested array (NA) with off-grid DOA estimation. In this study, we present a deep sparse Bayesian learning (DSBL) network to solve this problem. We first establish the signal model for off-grid DOA with NA. Then, we transform the array output into a real domain for neural networks. Finally, we construct and train the DSBL network to determine the on-grid spatial spectrum and

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Gambino, Valeria, Riccardo Del Citto, Paolo Cherubini, Carlo Tacconelli, Andrea Micangeli, and Romano Giglioli. "Methodology for the Energy Need Assessment to Effectively Design and Deploy Mini-Grids for Rural Electrification." Energies 12, no. 3 (2019): 574. http://dx.doi.org/10.3390/en12030574.

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In order to successfully deploy a large number of decentralized energy systems in developing countries, it is necessary to standardize effective methodologies and procedures to develop off-grid/mini-grid systems. Considering that the energy need assessment provides inputs and assumptions used in business modelling and mini-grid design, the accuracy of its results directly affects the technical and financial feasibility studies. Thus, the approach for applying a proven methodology for the energy need assessment of rural communities is aimed at obtaining reliable input data for the mini-grid dev

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Chen , Peng, Zhimin Chen, Xuan Zhang, and Linxi Liu. "SBL-Based Direction Finding Method with Imperfect Array." Electronics 7, no. 12 (2018): 426. http://dx.doi.org/10.3390/electronics7120426.

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The imperfect array degrades the direction finding performance. In this paper, we investigate the direction finding problem in uniform linear array (ULA) system with unknown mutual coupling effect between antennas. By exploiting the target sparsity in the spatial domain, the sparse Bayesian learning (SBL)-based model is proposed and converts the direction finding problem into a sparse reconstruction problem. In the sparse-based model, the off-grid errors are introduced by discretizing the direction area into grids. Therefore, an off-grid SBL model with mutual coupling vector is proposed to ove

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Yakubu, Dauda Gulibur, Ali Shokri, Geoffrey Micah Kumleng, and Daniela Marian. "Second Derivative Block Hybrid Methods for the Numerical Integration of Differential Systems." Fractal and Fractional 6, no. 7 (2022): 386. http://dx.doi.org/10.3390/fractalfract6070386.

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The second derivative block hybrid method for the continuous integration of differential systems within the interval of integration was derived. The second derivative block hybrid method maintained the stability properties of the Runge–Kutta methods suitable for solving stiff differential systems. The lack of such stability properties makes the continuous solution not reliable, especially in solving large stiff differential systems. We derive these methods by using one intermediate off-grid point in between the familiar grid points for continuous solution within the interval of integration. Th

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Zhou, Xiaoli, Hongqiang Wang, Yongqiang Cheng, and Yuliang Qin. "Off-Grid Radar Coincidence Imaging Based on Variational Sparse Bayesian Learning." Mathematical Problems in Engineering 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/1782178.

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Radar coincidence imaging (RCI) is a high-resolution staring imaging technique motivated by classical optical coincidence imaging. In RCI, sparse reconstruction methods are commonly used to achieve better imaging result, while the performance guarantee is based on the general assumption that the scatterers are located at the prediscretized grid-cell centers. However, the widely existing off-grid problem degrades the RCI performance considerably. In this paper, an algorithm based on variational sparse Bayesian learning (VSBL) is developed to solve the off-grid RCI. Applying Taylor expansion, th

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19

Jahan, Ibrahim Salem, Vojtech Blazek, Stanislav Misak, Vaclav Snasel, and Lukas Prokop. "Forecasting of Power Quality Parameters Based on Meteorological Data in Small-Scale Household Off-Grid Systems." Energies 15, no. 14 (2022): 5251. http://dx.doi.org/10.3390/en15145251.

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Off-grid power systems are often used to supply electricity to remote households, cottages, or small industries, comprising small renewable energy systems, typically a photovoltaic plant whose energy supply is stochastic in nature, without electricity distributions. This approach is economically viable and conforms to the requirements of the European Green Deal and the Fit for 55 package. Furthermore, these systems are associated with a lower short circuit power as compared with distribution grid traditional power plants. The power quality parameters (PQPs) of such small-scale off-grid systems

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Liu, Qi-yong, Qun Zhang, Fu-fei Gu, Yi-chang Chen, Le Kang, and Xiao-yu Qu. "Downward-Looking Linear Array 3D SAR Imaging Based on Multiple Measurement Vectors Model and Continuous Compressive Sensing." Journal of Sensors 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/6207828.

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This paper concerns the problems of huge data and off-grid effect of cross-track direction in downward-looking linear array (DLLA) 3D SAR imaging. Since the 3D imaging needs a great deal of memory space, we consider the methods of downsampling to reduce the data quantity. In the azimuth direction, we proposed a method based on the multiple measurement vectors (MMV) model, which can enhance computational efficiency and elevate the performance of antinoise, to recover the signal. Further, in cross-track direction, since the resolution is restricted by the length of array, as well as platform siz

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Xu, S., B. Wang, and J. Liu. "On the use of Schwarz–Christoffel conformal mappings to the grid generation for global ocean models." Geoscientific Model Development 8, no. 10 (2015): 3471–85. http://dx.doi.org/10.5194/gmd-8-3471-2015.

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Abstract. In this article we propose two grid generation methods for global ocean general circulation models. Contrary to conventional dipolar or tripolar grids, the proposed methods are based on Schwarz–Christoffel conformal mappings that map areas with user-prescribed, irregular boundaries to those with regular boundaries (i.e., disks, slits, etc.). The first method aims at improving existing dipolar grids. Compared with existing grids, the sample grid achieves a better trade-off between the enlargement of the latitudinal–longitudinal portion and the overall smooth grid cell size transition.

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Tunlasakun, Khanchai. "DSP - Based Islanding Protection for Photovoltaic Grid Connected Inverter." Applied Mechanics and Materials 291-294 (February 2013): 2007–10. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2007.

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This research presents the DSP - based islanding protection for photovoltaic grid connected inverter with under / over frequency and under / over voltage islanding protection methods. The design is based on the TMS320VC33PGE digital signal processor on the NI SPEEDY 33 board from National Instrument Inc. The prototype is monitor the grid frequency and grid voltage at the point of common coupling (PCC) between the photovoltaic grid connected inverter, the local load and the distribution. The results of study, the prototype can turn off relay between photovoltaic grid connected inverter and util

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Hou, Yunfei, Yingnan Zhang, Wenzhu Gui, Di Wang, and Wei Dong. "Meshless Search SR-STAP for Airborne Radar Based on Meta-Heuristic Algorithms." Sensors 23, no. 23 (2023): 9444. http://dx.doi.org/10.3390/s23239444.

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The sparse recovery (SR) space-time adaptive processing (STAP) method has excellent clutter suppression performance under the condition of limited observation samples. However, when the cluttering is nonlinear in a spatial-Doppler profile, it will cause an off-grid effect and reduce the sparse recovery performance. A meshless search using a meta-heuristic algorithm (MH) can completely eliminate the off-grid effect in theory. Therefore, genetic algorithm (GA), differential evolution (DE), particle swarm optimization (PSO), and grey wolf optimization (GWO) methods are applied to SR-STAP for sele

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Tafula, José Eduardo, Constantino Dário Justo, Pedro Moura, Jérôme Mendes, and Ana Soares. "Multicriteria Decision-Making Approach for Optimum Site Selection for Off-Grid Solar Photovoltaic Microgrids in Mozambique." Energies 16, no. 6 (2023): 2894. http://dx.doi.org/10.3390/en16062894.

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Given the constraints associated with grid expansion costs, limited access to reliable electricity, and priorities in addressing the climate agenda and Sustainable Development Goals in low-income countries, microgrids and off-grid solar projects represent a viable solution for rural electrification. This type of solution has the advantage of being less expensive than conventional technologies, is rapidly scalable, affordable, environmentally sustainable, and can play a critical role in empowering rural communities. In this context, this study proposed a spatial framework for off-grid solar ene

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Dash, Santanu Kumar, Suprava Chakraborty, and Devaraj Elangovan. "A Brief Review of Hydrogen Production Methods and Their Challenges." Energies 16, no. 3 (2023): 1141. http://dx.doi.org/10.3390/en16031141.

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Hydrogen is emerging as a new energy vector outside of its traditional role and gaining more recognition internationally as a viable fuel route. This review paper offers a crisp analysis of the most recent developments in hydrogen production techniques using conventional and renewable energy sources, in addition to key challenges in the production of Hydrogen. Among the most potential renewable energy sources for hydrogen production are solar and wind. The production of H2 from renewable sources derived from agricultural or other waste streams increases the flexibility and improves the economi

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Mirza, Hamid Ali, Laeeq Aslam, Muhammad Asif Zahoor Raja, Naveed Ishtiaq Chaudhary, Ijaz Mansoor Qureshi, and Aqdas Naveed Malik. "A New Computing Paradigm for Off-Grid Direction of Arrival Estimation Using Compressive Sensing." Wireless Communications and Mobile Computing 2020 (August 25, 2020): 1–9. http://dx.doi.org/10.1155/2020/9280198.

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In this paper, a method for solving grid mismatch or off-grid target is presented for direction of arrival (DOA) estimation problem using compressive sensing (CS) technique. Location of the sources are at few angles as compare to the entire angle domain, i.e., spatially sparse sources, and their location can be estimated using CS methods with ability of achieving super resolution and estimation with a smaller number of samples. Due to grid mismatch in CS techniques, the source energy is distributed among the adjacent grids. Therefore, a fitness function is introduced which is based on the diff

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Wang, Xi, Qinyi Chen, and Jingyi Wang. "Fuzzy rough set based sustainable methods for energy efficient smart city development." Journal of Intelligent & Fuzzy Systems 40, no. 4 (2021): 8173–83. http://dx.doi.org/10.3233/jifs-189640.

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The lightening system inside the residential or commercial building consumes the highest electrical power. For an energy efficient smart city development, some sustainable and low power consumption methods need to be explored. In this direction, we proposed solar energy based auto-intelligent LED light controlling system that uses wireless sensor network (WSN) with computation and control model for LED on/off and dimming of LED lights inside the building area. The WSN is employed with some sensor devices that sense and gather ambient context information which is transmitted to computation mode

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Syahwil, Muhammad, and Nasrudin Kadir. "Rancang Bangun Modul Pembangkit Listrik Tenaga Surya (PLTS) Sistem Off-grid Sebagai Alat Penunjang Praktikum Di Laboratorium." Jurnal Pengelolaan Laboratorium Pendidikan 3, no. 1 (2021): 26–35. http://dx.doi.org/10.14710/jplp.3.1.26-35.

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This study aims to design and manufacture a practical module for a small-scale off-grid solar power system with a power capacity of 320Wp. This module consists of the main components of an off-grid type solar power system such as solar panels, Solar Charger Controller (SCC), batteries, inverters, ac/dc loads and power meter measuring instruments integrated in one module. The method used is laboratory research methods and literature study. The literature study method is to look for literature related to solar power plant as a support in making modules and laboratory methods, namely testing modu

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Mota, Alzira, Paulo Ávila, Ricardo Albuquerque, Lino Costa, and João Bastos. "A Framework for Time-Cost-Quality Optimization in Project Management Problems Using an Exploratory Grid Concept in the Multi-Objective Simulated-Annealing." International Journal of Information Technology & Decision Making 20, no. 04 (2021): 1095–120. http://dx.doi.org/10.1142/s0219622021500322.

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Time, cost, and quality are the three indispensable factors for the realization and success of a project. In this context, we propose a framework composed of a multi-objective approach and multi-criteria decision-making methods (MCDM) to solve time-cost-quality trade-off optimization problems. A multi-objective Simulated Annealing (MOSA) algorithm is used to compute an approximation to the Pareto optimal set. The concept of the exploratory grid is introduced in the MOSA to improve its performance. MCDM are used to assist the decision-making process. The Shannon entropy and AHP methods assign w

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Veviurko, Grigorii, Wendelin Böhmer, Laurens Mackay, and Mathijs de Weerdt. "Surrogate DC Microgrid Models for Optimization of Charging Electric Vehicles under Partial Observability." Energies 15, no. 4 (2022): 1389. http://dx.doi.org/10.3390/en15041389.

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Many electric vehicles (EVs) are using today’s distribution grids, and their flexibility can be highly beneficial for the grid operators. This flexibility can be best exploited by DC power networks, as they allow charging and discharging without extra power electronics and transformation losses. From the grid control perspective, algorithms for planning EV charging are necessary. This paper studies the problem of EV charging planning under limited grid capacity and extends it to the partially observable case. We demonstrate how limited information about the EV locations in a grid may disrupt t

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Egwebe, Augustine, Meghdad Fazeli, Petar Igic, and Paul Holland. "Load sharing methods for inverter-based systems in islanded microgrids: A review." Facta universitatis - series: Electronics and Energetics 30, no. 2 (2017): 145–60. http://dx.doi.org/10.2298/fuee1702145e.

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This paper explores and discusses various design considerations for inverter-based systems. Different load sharing techniques are presented for the integration of renewable energy sources within islanded microgrids. In off-grid connection, renewable energy sources are often configured to share power based on their rated capacity. This paper explores both conventional and dynamic load sharing interaction between distributed generation units, both in an inductive (high voltage) and resistive (low voltage) networks. Load sharing based on the proper design of virtual impedance is also reviewed.

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Luo, Fuli, Xuesheng Zhao, Wenbin Sun, Yalu Li, and Yuanzheng Duan. "An Overall Uniformity Optimization Method of the Spherical Icosahedral Grid Based on the Optimal Transformation Theory." Atmosphere 12, no. 11 (2021): 1516. http://dx.doi.org/10.3390/atmos12111516.

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The improvement of overall uniformity and smoothness of spherical icosahedral grids, the basic framework of atmospheric models, is a key to reducing simulation errors. However, most of the existing grid optimization methods have optimized grid from different aspects and not improved overall uniformity and smoothness of grid at the same time, directly affecting the accuracy and stability of numerical simulation. Although a well-defined grid with more than 12 points cannot be constructed on a sphere, the area uniformity and the interval uniformity of the spherical grid can be traded off to enhan

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Ciller, Pedro, Fernando de Cuadra, and Sara Lumbreras. "Optimizing Off-Grid Generation in Large-Scale Electrification-Planning Problems: A Direct-Search Approach." Energies 12, no. 24 (2019): 4634. http://dx.doi.org/10.3390/en12244634.

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Off-grid systems play a prominent role in rural electrification planning. The problem of optimizing the generation design of a single off-grid system has received a significant amount of attention in the literature, and several software tools and algorithms have addressed it. However, methods and tools designed for individual mini-grids are not directly applicable to regional planning, where it is necessary to estimate the generation cost of potentially thousands of mini-grids. Conversely, most regional planning tools estimate the generation cost of mini-grids with rules of thumb or analytical

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Yu, Siwei, Jianwei Ma, and Bangliu Zhao. "Off-the-grid vertical seismic profile data regularization by a compressive sensing method." GEOPHYSICS 85, no. 2 (2020): V157—V168. http://dx.doi.org/10.1190/geo2019-0357.1.

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Different from the surface survey, the vertical seismic profile (VSP) survey deploys sources on the surface and geophones in a well. VSP provides higher resolution information of subsurface structures. The faults that cannot be imaged with surface seismic data may be detected with VSP data, and detailed analysis of fracture zones can be achieved with multicomponent VSP. However, one of the main problems is that the sources seldom are acquired on a regular grid in realistic VSP surveys. The irregular samplings cause serious artifacts in migration or imaging, such that data regularization must b

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Leach, Matthew, Chris Mullen, Jacquetta Lee, et al. "Modelling the Costs and Benefits of Modern Energy Cooking Services—Methods and Case Studies." Energies 14, no. 12 (2021): 3371. http://dx.doi.org/10.3390/en14123371.

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Globally, 2.8 billion people still cook with biomass, resulting in health, environmental, and social challenges; electric cooking is a key option for a transition to modern energy cooking services. However, electric cooking is assumed to be too expensive, grids can be unreliable and the connection capacity of mini-grids and solar home systems is widely assumed to be insufficient. Developments in higher performance and lower cost batteries and solar photovoltaics can help, but they raise questions of affordability and environmental impacts. The range of issues is wide, and existing studies do n

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Park, Sang-Yong, and Hyo-Sang Choi. "Operation Characteristics of Mechanical DC Circuit Breaker Combined with LC Divergence Oscillation Circuit for High Reliability of LVDC System." Energies 14, no. 16 (2021): 5097. http://dx.doi.org/10.3390/en14165097.

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DC systems are modernly starting to come into the spotlight again due to the carbon-neutral policy, the development of semiconductor devices for power, and the increase in digital loads. We need to prepare in advance solutions to problems that may arise from fault currents due to transients for future DC power grid models. In the case of DC, there is no current zero-point because there is no frequency. Therefore, a large switching surge is generated when the circuit breaker cuts off the fault current. The possibility of insulation breakdown is greater than that of AC in severe cases. We consid

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Hou, Gui Xin, Qi Hui Liu, Fang Yu, and Ying Li. "Summary and Analysis on the Low Voltage Ride through Reformation of the Wind Power Turbine." Advanced Materials Research 608-609 (December 2012): 781–84. http://dx.doi.org/10.4028/www.scientific.net/amr.608-609.781.

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As the increasing of the wind power capability， in order to ensure the stability of the grid while the voltage dips， the LVRT ability of the wind power turbine has become necessary. Realizing LVRT， is not only the question the built and will build wind power system are facing, but also the challenge of the will build and operating ones. Actually, many connected operating wind power system can’t meet the LVRT, this is why the large scale wind power off-grid events happened frequently, so the reformation of the wind power system LVRT is an emergency question to be solved. This paper introduced t

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Chukwumaobi,, ICHIE, Ichie, Fabeku David Olalekan, Ishaya Witta Caleb, and Umukoro Pheobe Oghenetega. "Scalable and Characterization Methods and Tools for Remote Monitoring of Off Grid Technologies: Case Study of 3x15mva Power Distribution Injection Substation in Nigeria." International Journal of Engineering and Advanced Technology 11, no. 5 (2022): 74–81. http://dx.doi.org/10.35940/ijeat.e3548.0611522.

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Remote control and monitoring of energy resources are vital for the effective management of electricity in rural areas. Access to electricity in rural areas of Nigeria has grown in recent years. Nigeria appears to be growing rapidly in the electrification of both rural and urban areas through the use of distributed energy resources using renewable energy. Nevertheless, there have been challenges in the remote monitoring of the energy resources in the rural area. The challenges include high cost of implementation, available technology, power consumption, system integration, social-Economic chal

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Chen, Fang Yuan, and Jian Huang. "An Electricity Parameter Measurement for Off-Grid PWM Converter." Applied Mechanics and Materials 325-326 (June 2013): 742–46. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.742.

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The input voltage of off-grid PWM converters has a great dynamic range in amplitude and frequency. In addition, the frequent changing of these parameters also makes it hard to measure preciously via traditional ways. Details of window function are presented. A modified FFT spectrum analyzing method using interpolation is also given and checked. Finally, a feasible solution which balances both precision and real-time data processing comes up considering the speed of MCUs mainly used in industry. Simulations and experiments show that this solution settles the troubles which cant be cleared up by

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López-Castrillón, William, Héctor H. Sepúlveda, and Cristian Mattar. "Off-Grid Hybrid Electrical Generation Systems in Remote Communities: Trends and Characteristics in Sustainability Solutions." Sustainability 13, no. 11 (2021): 5856. http://dx.doi.org/10.3390/su13115856.

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The objective of this review is to present the characteristics and trends of hybrid renewable energy systems for remote off-grid communities. Traditionally, remote off-grid communities have used diesel oil-based systems to generate electricity. Increased technological options and lower costs have resulted in the adoption of hybrid renewable energy-based systems. The evaluated 168 studies from the period 2002–2019 considered energy developments in Asia, northern Europe, Africa and South America, with the great majority in the northern hemisphere (n = 152, 90.5%). Many of the studied systems wer

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Cai, Wenchao, Chenglong Li, Kodjo Agbossou, Pierre Bénard, and Jinsheng Xiao. "A review of hydrogen-based hybrid renewable energy systems: Simulation and optimization with artificial intelligence." Journal of Physics: Conference Series 2208, no. 1 (2022): 012012. http://dx.doi.org/10.1088/1742-6596/2208/1/012012.

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Abstract With the massive use of traditional fossil fuels, greenhouse gas emissions are increasing, and environmental pollution is becoming an increasingly serious problem, which led to an imminent energy transition. Therefore, the development and application of renewable energy are particularly important. This paper reviews a wide range of issues associated with hybrid renewable energy systems (HRESs). The issues concerning system configurations, energy storage options, simulation and optimization with artificial intelligence are discussed in detail. Storage technology options are introduced

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Habachi, Rachid, Achraf Touil, Abdellah Boulal, Abdelkabir Charkaoui, and Abdelwahed Echchatbi. "Comparative study of metaheuristics methods applied to smart grid network in Morocco." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 1 (2020): 487. http://dx.doi.org/10.11591/ijpeds.v11.i1.pp487-495.

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The economic dispatch problem of power plays a very important role in the exploitation of electro-energy systems to judiciously distribute power generated by all plants. The Unit commitment problem (UCP) is mainly finding the minimum cost schedule to a set of generators by turning each one either on or off over a given time horizon to meet the demand load and satisfy different operational constraints, This research article integrates the crow search algorithm (CSA) as a local optimizer of Eagle strategy (ES) to solve economic dispatch and unit commitment problem in smart grid system of two ele

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Gossard, Alban, Frédéric de Gournay, and Pierre Weiss. "Bayesian Optimization of Sampling Densities in MRI." Machine Learning for Biomedical Imaging 2, June 2023 (2023): 253–87. http://dx.doi.org/10.59275/j.melba.2023-8172.

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Data-driven optimization of sampling patterns in MRI has recently received a significant attention. Following recent observations on the combinatorial number of minimizers in off-the-grid optimization, we propose a framework to globally optimize the sampling densities using Bayesian optimization. Using a dimension reduction technique, we optimize the sampling trajectories more than 20 times faster than conventional off-the-grid methods, with a restricted number of training samples. This method – among other benefits – discards the need of automatic differentiation. Its performance is slightly

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Skwame, Y., J. Sabo, and T. Kyagya. "The Construction of Implicit One-step Block Hybrid Methods with Multiple Off-grid Points for the Solution of Stiff Differential Equations." Journal of Scientific Research and Reports 16, no. 1 (2017): 1–7. http://dx.doi.org/10.9734/jsrr/2017/36187.

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Surinsky, Dmitry, Sergey Egorov, and Ilya Shchinnikov. "Investigation of methods of rodent control and analysis of existing devices constructed based on electrophysical control method." АгроЭкоИнфо 6, no. 48 (2021): 5. http://dx.doi.org/10.51419/20216605.

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This article is considered used and newly developed rodent control devices, taking into account operating experience with patented structures, and analyzes the options for their use to control the pests. The analysis of the currently used methods for protection showed that there is a need not only to use devices for scaring and destruction, but also to design a device for research is required taking electrophysical methods for consideration. As a result, a model of an electrocontact grid has been proposed that plays the role of a stun gun to scare off rodents. Keywords: DERATIZATION, DERATIZER

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Kasprzyk, Leszek, Andrzej Tomczewski, Robert Pietracho, et al. "Optimization of a PV-Wind Hybrid Power Supply Structure with Electrochemical Storage Intended for Supplying a Load with Known Characteristics." Energies 13, no. 22 (2020): 6143. http://dx.doi.org/10.3390/en13226143.

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An important aspect of the off-grid utilization of hybrid generation systems is the integration of energy storage facilities into their structures, which allows for improved power supply reliability. However, this results in a significant increase in the cost of such systems. Therefore, it is justified to use optimization resulting in the minimization of the selected economic indicator taking into account the most important technical constraints. For this reason, this work proposes an algorithm to optimize the structure of a hybrid off-grid power distribution system (with electrochemical energ

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Hussain, Irshad, Majid Ullah, Ibrar Ullah, et al. "Optimizing Energy Consumption in the Home Energy Management System via a Bio-Inspired Dragonfly Algorithm and the Genetic Algorithm." Electronics 9, no. 3 (2020): 406. http://dx.doi.org/10.3390/electronics9030406.

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Due to the exponential increase in the human population of this bio-sphere, energy resources are becoming scarce. Because of the traditional methods, most of the generated energy is wasted every year in the distribution network and demand side. Therefore, researchers all over the world have taken a keen interest in this issue and finally introduced the concept of the smart grid. Smart grid is an ultimate solution to all of the energy related problems of today’s modern world. In this paper, we have proposed a meta-heuristic optimization technique called the dragonfly algorithm (DA). The propose

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Rajanna, B. V., Ganta Joga Rao, and S. K. Shrivastava. "Defining Control Strategies for Micro Grids Islanded Operation with Maximum Power Point Tracking using a Fuzzy Logic Control Scheme." International Journal of Power Electronics and Drive Systems (IJPEDS) 7, no. 3 (2016): 723. http://dx.doi.org/10.11591/ijpeds.v7.i3.pp723-733.

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<p>This paper explains about an intelligent control method for the maximum power point tracking (MPPT) of a photo voltaic system with different temperature and insolation conditions. This method uses a fuzzy logic controller applied to a DC-DC converter. The different steps of the design of this controller are presented together with its simulation and the feasibility of control methods to be adopted for the operation of a micro grid when it becomes isolated. Normally, the micro grid operates in interconnected mode with the medium voltage network; however, scheduled or forced isolation c

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Gitifar, Siavash, Rahim Zahedi, Saba Ziaie, Amir Mohammad Mirzaei, and Mohammad Mahdi Forootan. "Review of different vertical axis wind turbine modeling methods." Future Energy 3, no. 1 (2024): 23–33. http://dx.doi.org/10.55670/fpll.fuen.3.1.4.

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Wind energy can be used as an inexhaustible option for human consumption. Wind turbines offer a promising solution for off-grid areas. Darrieus turbine is one of the types of turbines that can be more efficient than other types if it is used by knowing its characteristics. The complex dynamic mechanism of the flow around the machine has led to its aerodynamic optimization problems remaining complex. This article reviews the applied methods in modeling vertical axis turbines and implicitly shows the turbine operation by presenting the results of these methods. Knowing these methods is important

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Qian, Jianliang, and William W. Symes. "An adaptive finite‐difference method for traveltimes and amplitudes." GEOPHYSICS 67, no. 1 (2002): 167–76. http://dx.doi.org/10.1190/1.1451472.

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The point‐source traveltime field has an upwind singularity at the source point. Consequently, all formally high‐order, finite‐difference eikonal solvers exhibit first‐order convergence and relatively large errors. Adaptive upwind finite‐difference methods based on high‐order Weighted Essentially NonOscillatory (WENO) Runge‐Kutta difference schemes for the paraxial eikonal equation overcome this difficulty. The method controls error by automatic grid refinement and coarsening based on a posteriori error estimation. It achieves prescribed accuracy at a far lower cost than does the fixed‐grid me

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