scholarly journals Probabilistic prediction for the ampacity of overhead lines using Quantile Regression Neural Network

2020 ◽  
Vol 185 ◽  
pp. 02022
Author(s):  
Xu Jin ◽  
Fudong Cai ◽  
Mengxia Wang ◽  
Yang Sun ◽  
Shengyuan Zhou
Keyword(s):  
Neural Network ◽  
Quantile Regression ◽  
Transmission Lines ◽  
Meteorological Data ◽  
Overhead Line ◽  
Probabilistic Prediction ◽  
Overhead Lines ◽  
Overhead Transmission Lines ◽  
Planning And Control ◽  
And Control

The ampacity of overhead transmission lines play a key role in power system planning and control. Due to the volatility of the meteorological elements, the ampacity of an overhead line is timevarying. In order to fully utilize the transfer capability of overhead transmission lines, it is necessary to provide system operators with accurate probabilistic prediction results of the ampacity. In this paper, a method based on the Quantile Regression Neural Network (QRNN) is proposed to improve the performance of the probabilistic prediction of the ampacity. The QRNN-based method uses a nonlinear model to comprehensively model the impacts of historical meteorological data and historical ampacity data on the ampacity at predictive time period. Numerical simulations based on the actual meteorological data around an overhead line verify the effectiveness of the proposed method.

Intelligent Motion Planning and Control for Robotic Joints Using Bio-Inspired Spiking Neural Networks

2019 ◽  
Vol 16 (04) ◽  
pp. 1950012 ◽  
Author(s):  
Mircea Hulea ◽  
Adrian Burlacu ◽  
Constantin-Florin Caruntu
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Motion Planning ◽  
Control Method ◽  
Inhibitory Neurons ◽  
Robotic Arm ◽  
Control Approach ◽  
Planning And Control ◽  
Robotic Joints ◽  
And Control

This paper details an intelligent motion planning and control approach for a one-degree of freedom joint of a robotic arm that can be used to implement anthropomorphic robotic hands. This intelligent control method is based on bio-inspired electronic neural networks and contractile artificial muscles implemented with shape memory alloy (SMA) actuators. The spiking neural network (SNN) includes several excitatory neurons that naturally determine the contraction force of the actuators, and unevenly distributed inhibitory neurons that regulate the excitatory activity. To validate the proposed concept, the experiments highlight the motion planning and control of a single-joint robotic arm. The results show that the electronic neural network is able to intelligently activate motion and hold with high precision the mobile link to the target positions even if the arm is slightly loaded. These results are encouraging for the development of improved biologically plausible neural structures that are able to control simultaneously multiple muscles.

scholarly journals Ship Steering Control Based on Quantum Neural Network

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Wei Guan ◽  
Haotian Zhou ◽  
Zuojing Su ◽  
Xianku Zhang ◽  
Chao Zhao
Keyword(s):  
Neural Network ◽  
Good Control ◽  
Learning Rate ◽  
Steering Control ◽  
Quantum Neural Network ◽  
Planning And Control ◽  
Fast Learning ◽  
Ship Steering ◽  
Learning Capabilities ◽  
And Control

During the mission at sea, the ship steering control to yaw motions of the intelligent autonomous surface vessel (IASV) is a very challenging task. In this paper, a quantum neural network (QNN) which takes the advantages of learning capabilities and fast learning rate is proposed to act as the foundation feedback control hierarchy module of the IASV planning and control strategy. The numeric simulations had shown that the QNN steering controller could improve the learning rate performance significantly comparing with the conventional neural networks. Furthermore, the numeric and practical steering control experiment of the IASV BAICHUAN has shown a good control performance similar to the conventional PID steering controller and it confirms the feasibility of the QNN steering controller of IASV planning and control engineering applications in the future.

Tensile Strength of Al-Zr Overhead Line Conductors

2013 ◽  
Vol 765 ◽  
pp. 793-797 ◽  
Author(s):  
Harun Erol ◽  
Hicran Tecer ◽  
Emine Acer ◽  
Coşkun Kadioğlu ◽  
Mehmet Gündüz
Keyword(s):  
Tensile Strength ◽  
Transmission Lines ◽  
Overhead Line ◽  
Overhead Lines ◽  
The Past ◽  
Wide Range ◽  
Tube Furnaces ◽  
Different Diameters ◽  
Processing Techniques ◽  
Zr Alloys

Aluminium and its alloys are used in all bare overhead energy transmission lines. Researchers and manufacturers, have in the past, made significant improvements in the tensile strength and conductivity of overhead lines. In the present work, the effect of heat treatments on the tensile strength of Al-Zr alloys (Al-0.15, 0.20, 0.25wt.%Zr) has been investigated (all compositions hereafter are described in wt.%). The Al-Zr samples were prepared by using a melt furnace and a continuous casting line. The cast, extruded and drawn samples with different diameters (4, 6, 10 mm) were aged isothermally and isochronally in muffle and tube furnaces. Aging was performed over a wide range of temperatures (350-450 °C) at constant aging times (100 hrs., 125 hrs.) and over a wide range of aging times (50-150 hrs.) at a constant temperature (425 °C). It was found that, aging temperatures, aging times, composition, processing techniques and size of the samples affect the tensile strength.

scholarly journals Increasing the Utilization of Transmission Lines Capacity by Quasi-Dynamic Thermal Ratings

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 792 ◽  
Author(s):  
Fan Song ◽  
Yanling Wang ◽  
Hongbo Yan ◽  
Xiaofeng Zhou ◽  
Zhiqiang Niu
Keyword(s):  
Statistical Analysis ◽  
Transmission Lines ◽  
Meteorological Data ◽  
Environmental Policies ◽  
Confidence Levels ◽  
Control Variate ◽  
Measuring Devices ◽  
The Cost ◽  
Operation Risk ◽  
And Control

The power grid is under pressure to maintain a reliable supply because of constrained budgets and environmental policies. In order to effectively make use of existing transmission lines, it is important to accurately evaluate the line capacity. Dynamic thermal rating (DTR) offers a way to increase the utilization of capacity under real-time meteorological data. However, DTR relies on a number of sensors and the cost is high. Therefore, a method of improving the utilization of capacity by quasi-dynamic thermal rating (QDR) is proposed in this paper. QDR at different confidence levels and time scales is determined through the statistical analysis of line ampacity driven by key parameters, and the key parameters is identified by control variate method. In addition, the operation risk and tension loss is evaluated. The results show that QDR can increase the utilization of line capacity and in the absence of along-line measuring devices, QDR is more accurate, reliable and cost-saving. The managers can determine the appropriate confidence level according to the operation risk and tension loss that the system can bear, and shorten the time scale with the permission of the operation and control complexity.

scholarly journals ECONOMIC CORRECTION OF CURRENT DENSITIES IN THE WIRES OF THE EXISTING OVERHEAD LINES OF 110-220 KV

2019 ◽  
Vol 20 (9-10) ◽  
pp. 25-33
Author(s):  
A. A. Gerkusov ◽  
E. I. Gabdulvalieva
Keyword(s):  
Electric Power ◽  
Cross Sections ◽  
Transmission Lines ◽  
Economic Optimization ◽  
Overhead Lines ◽  
Overhead Transmission Lines ◽  
Current Densities ◽  
Electrical Loads ◽  
Discounted Costs ◽  
Corona Losses

In this article, we present the methods used to date, the choice of the cross-sections of the wires of overhead transmission lines, taking into account not only the losses from the load currents, but also the corona losses and linear insulation of overhead transmission lines. The method of economic optimization of electrical loads and current density in operating air lines is considered, where the target functions are the specific discounted costs for transmission of 1 kW. h of electric power.

USE OF THE EDUCATIONAL AND RESEARCH CAD OF TRANSMISSION LINES IN THE STUDY OF MATHEMATICAL MODEL OF THE WIRE SAG CURVE

2019 ◽  
Author(s):  
Valentin Gorin ◽  
Nikolay Davidson
Keyword(s):  
Transmission Lines ◽  
Computer Aided Design ◽  
Numerical Calculations ◽  
Overhead Line ◽  
Structural Scheme ◽  
Overhead Lines ◽  
Curve Model ◽  
The Wire ◽  
Overhead Power Lines ◽  
Aided Design

The results of developments to improve the educational and research version of the computer-aided design of overhead power lines of high and ultrahigh voltage are considered. On the basis of the latest proposed version of the structural scheme of the educational and research CAD of overhead lines, as a result of the conducted developments, new calculated ratios for the systematic mechanical calculation of overhead wires (cables) are obtained. Numerical calculations of the parameters of the model of the slack curve of the overhead line wire are performed using various theories. Numerical calculations of the parameters of the wire SAG curve model at a large overhead line transition are performed using various theories.

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