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2013 IEEE Energytech, Energytech 2013

作者： Singarao, Venkatesh Yadav Rao, Vittal Harral, Mark A. Multi-disciplinary Wind Science and Engineering PhD Program Texas Tech University Lubbock United States GroupNIRE Clean Energy Development Company Lubbock United States

ISBN: (纸本)9781467344449

With the increasing grid penetration levels of wind power, there is an increasing need to study both the power control systems and the regulatory aspects associated with frequency control capabilities of wind power plants at various levels (turbine, wind farm and power system levels). This is especially very important in the United States with a goal of achieving 20% nation's electricity from wind energy by 2030. This paper provides observations and challenges identified with wind energy integration with respect to active power control strategies used in implementing frequency regulation at various levels. This paper also discusses the current and future aspects of market regulation of frequency responsive services offered by converter based variable generation technologies and the need for an appropriate utility market structure in order to provide settlements for these capabilities. © 2013 IEEE.

关键词： Wind power

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A GPU-Based Parallel Implementation of the GWO Algorithm: Application to the Solution of Large-Scale Nonlinear Equation Systems 11

A GPU-Based Parallel Implementation of the GWO Algorithm: Ap...

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11th International Symposium on Computing and Networking Workshops, CANDARW 2023

作者： Silva, Bruno Lopes, Luiz Guerreiro University of Madeira Sre Regional Government of Madeira PhD Program in Computer Engineering Funchal Madeira Portugal University of Madeira Faculty of Exact Sciences and Engineering Department of Mathematics Funchal Madeira9020-105 Portugal

ISBN: (纸本)9798350306941

Population-based computational intelligence algorithms are natural candidates for parallelization and have been utilized to solve a variety of difficult and complex real-world problems. The gray wolf optimizer (GWO) is one of these algorithms. It is a metaheuristic that simulates the leadership hierarchy and hunting mechanism of gray wolves in the wild and has been used successfully to solve several hard optimization problems. However, the study of its applicability to the solution of nonlinear equation systems, which is arguably the most difficult class of numerical problems, is still quite incipient and needs to be better accessed and verified, particularly in the case of large-scale systems of nonlinear equations, which have not been considered until now and whose resolution difficulty increases with the number of equations they contain. This paper presents a new and efficient GPU-based massively parallel implementation of the gray wolf optimizer algorithm for solving large-scale optimization problems. The proposed parallelization of the GWO algorithm is illustrated by its application to solving large systems of nonlinear equations, a class of problems that appear and have great importance in different fields of pure and applied sciences and engineering. The GPU-accelerated version of GWO was implemented in Julia and tested on a GeForce RTX 3090 GPU with 24 GB GDDR6X VRAM and 10 496 CUDA cores using a set of hard, scalable systems of nonlinear equations with dimensions ranging from 500 to 2000. The obtained results, with average speedups between 69.91× and 241.54× , show the efficiency of the proposed GPU-based acceleration of the GWO algorithm. © 2023 IEEE.

关键词： Graphics processing unit

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A Storage and Transmission Joint Planning Method for Centralized Wind Power Transmission

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Computers, Materials & Continua 2021年第7期68卷 1081-1097页

作者： Xiuyu Yang Qi Guo Jianzhong Gui Renyong Chai Xueyuan Liu Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology(Northeast Electric Power University) Jilin132012China Electrical Engineering-PHD program at the University of Idaho Idaho83843America State Grid Jiangxi Power Supply Company Xinyu338025China

Centralized delivery has become the main operation mode under the scaled development of wind *** channels are usually the guarantee of out-delivered wind power for large-scale wind *** configuration of transmission capacity,which has the features of low utilization and poor economy,is hardly matching correctly due to the volatility and low energy density of *** usage of energy storage can mitigate wind power fluctuations and reduce the requirement of out-delivery transmission capacity,but facing the issue of energy storage cost ***,it is necessary to optimize the allocation of energy storage while considering the problem of wind power *** paper studies the joint optimization of large-scale wind power transmission capacity and energy storage,reveals the mechanism of energy storage in order to reduce the power fluctuation of wind power base and slow down the demand of ***,analyze the multi-functional cost-sharing mode of energy storage,improve the efficiency of energy storage cost *** the coordination optimization configuration model to deal with the problem of large-scale wind power transmission capacity and energy storage,and realizes the transmission capacity optimization coordination and optimization with energy *** proposed method is verified by a wind base located in Northeast China.

关键词： Wind farm group energy storage configuration transmission capacity coordination and optimization

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Estimation of Transmission Lines Parameters Using Particle Swarm Optimization

Estimation of Transmission Lines Parameters Using Particle S...

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IEEE/PES Transmission and Distribution Conference and Exposition: Latin America

作者： Fermín Rafael Cabezas Soldevilla Franklin Alfredo Cabezas Huerta Faculty of Mechanical Engineering - PhD Program in Energetics National University of Engineering Lima Peru

ISBN: (纸本)9781538658451

The identification of the values with good accuracy of physical parameters of transmission systems is very important because using very different values from the real ones seriously distorts the evaluation of the planning, design, operation, maintenance and commercialization of the transmission systems. The present work describes the identification of physical parameters of a real transmission system using a mathematical model with variable values of the physical parameters. The identification is done by comparing the real operation of the system with the simulated operation of the model, varying iteratively the physical parameters values of the mathematical model. To this purpose two different techniques were applied, a classical and a modern meta-heuristic technique to 47 high voltage transmission lines of the Peruvian electrical system. The real operation is obtained from the database of the measurements of the operating variables of the transmission system. The correct values of the physical parameters will be those that correspond to the simulated operation identified. This paper is organized as follows: Section II describes the philosophy of the parameter estimation problem, here is included the symbology, the model of the transmission system, the formulation of the problem and its solution. In section III, the results of the identified parameters are presented and discussed. Finally, in section IV the conclusions are presented.

关键词： Estimation Mathematical model Transmission line measurements Power transmission lines Parameter estimation Loss measurement Pollution measurement

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An Interactive Dashboard to Study the Impact of Hurricane Florence on Food Bank Operations

An Interactive Dashboard to Study the Impact of Hurricane Fl...

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2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020

作者： Enyew, Bantwale Odubela, Kehinde Jiang, Steven Davis, Lauren North Carolina at State University Applied Science Technology Phd Program Greensboro United States North Carolina at State University Department of Industrial and Systems Engineering Greensboro United States

ISBN: (纸本)9781728176246

North Carolina is the third most hurricane-prone states in the US. In 2018, Hurricane Florence caused a lot of damages to households in North Carolina. The Food Bank of Central and Eastern North Carolina (FBCENC) serves 34 counties in North Carolina, and 22 of them were affected by Hurricane Florence. This research aims to investigate the impact of Hurricane Florence on the operations of FBCENC. We developed interactive dashboards to visualize food bank operational data and other relevant data and studied the trends and patterns of food distribution in three key stages: preparedness, response, and recovery. These dashboards enable food bank operations managers to explore and interact with the data with ease to explore the operational data at different stages, at different branch level, and on a different time scale (monthly, weekly, or daily). The impact on the operations of affected service areas vs. not affected areas could be investigated as well. The findings of this research will provide insight into how humanitarian relief agencies can better prepare for, respond to, and recover from the disruptions caused by hurricanes. © 2020 IEEE.

关键词： Hurricanes

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Prediction of Weather Patterns Using Linear Angstrom Model

Prediction of Weather Patterns Using Linear Angstrom Model

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2022 Advances in Science and engineering Technology International Conferences, ASET 2022

作者： Aljaghoub, Haya Alashkar, Adnan Alami, Abdul Hai Tawalbeh, Muhammad University of Sharjah Department of Industrail Engineering and Engineering Management Sharjah United Arab Emirates American University of Sharjah Materials Science and Engineering PhD Program Sharjah United Arab Emirates University of Sharjah Department of Sustainable and Renewable Energy Engineering Sharjah United Arab Emirates

ISBN: (纸本)9781665418010

The paper investigates the correlation between solar irradiance and sunlit hours for the city of Sharjah, United Arab Emirates. This correlation is a strong function of the weather conditions, and is vital for the design and operation of solar energy systems. The Angstrom Model is a straightforward tool that establishes a linear relationship where the model parameters b and a (slope and y-intercept, respectively) are evaluated through plotting of experimental measurements. Wind speed and relative humidity are collected to interpret their effect on the quality of incident solar radiation. The model takes into consideration winter and summer months of the year 2021, hence it provides a complete weather pattern for the year. With continuous data logging, the model will be developed to predict the weather patterns of the city of Sharjah. © 2022 IEEE.

关键词： Solar energy

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Using the bienstock-zuckerberg algorithm to solve underground production scheduling models 37

Using the bienstock-zuckerberg algorithm to solve undergroun...

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37th International Symposium on Application of Computers and Operations Research in the Mineral Industry, APCOM 2015

作者： Brickey, Andrea King, Barry Rivera, Orlando Department of Mining Engineering Colorado School of Mines GoldenCO United States Operations Research with Engineering PhD Program Colorado School of Mines GoldenCO United States Engineering and Sciences Universidad Adolfo Ibañez School of Business Santiago Chile

ISBN: (纸本)9780873354172

Underground production scheduling has typically been a task completed manually or with heuristic-based commercial software. Applying traditional optimization methods for solving open pit mine scheduling problems to underground settings has had limited success due to their complex resource and precedence structure. The Bienstock-Zuckerberg algorithm is a method to determine linear programming relaxation solutions for precedence-constrained knapsack problems. We tailor this algorithm for underground mine scheduling, obtain integer solutions via heuristics guided by these linear relaxations, and demonstrate the effectiveness of our techniques on real-life data sets containing multiple underground mines, time fidelities, and levels of accuracy (strategic and tactical).

关键词： Linear programming

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ISS properties of sliding-mode controllers for systems with matched and unmatched disturbances

ISS properties of sliding-mode controllers for systems with ...

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European Control Conference, ECC 2015

作者： Martinez, Andrea Aparicio Castanos, Fernando Fridman, Leonid Electrical Engineering PhD Program Faculty of Engineering Universidad Nacional Autónoma de México Mexico Departamento de Control Automático Cinvestav IPN Mexico Faculty of Engineering Universidad Nacional Autónoma de México Mexico

ISBN: (纸本)9783952426937

In this paper we present a controller that achieves global input-to-state stabilty for a linear system of arbitrary relative degree, subjected to matched and unmatched disturbances. This controller combines the properties of a discontinous term, and a linear one, enforcing a conventional sliding mode using only partial state information. A direct and simple way of choosing the gains for this controller is also provided. © 2015 EUCA.

关键词： Controllers

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Economic comparison of deloaded-wind and wind-battery systems

Economic comparison of deloaded-wind and wind-battery system...

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2014 6th Annual IEEE Green Technologies Conference, GREENTECH 2014

作者： Singarao, Venkatesh Yadav Nimmagadda, Sandeep Rao, Vittal Multi-Disciplinary Wind Science and Engineering PhD Program Texas Tech University Lubbock United States Electrical and Computer Engineering Texas Tech University Lubbock United States Department of Electrical and Computer Engineering Texas Tech University Lubbock United States

ISBN: (纸本)9781479939336

With the increasing grid penetration levels of wind power, there is a large need for the energy reserves for grid support during under-frequency conditions. Such energy reserves are created by operating the wind farm at non-optimum/deloaded operating points, as well as through storage of excess energy in Batteries. This paper provides technical and economic analysis of the above strategies and thus provides a case comparison of deloaded wind farm to that of wind-Battery system. A simplified Excel-based Proforma financial model has been developed to perform sensitivity analysis, as well as to obtain the impact of these strategies on the cost of energy. © 2014 IEEE.

关键词： Electric batteries

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OPTIMIZING HYPERPARAMETERS OF RANDOM FOREST MODEL FOR TRAFFIC INCIDENT DETECTION 50

OPTIMIZING HYPERPARAMETERS OF RANDOM FOREST MODEL FOR TRAFFI...

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50th International Conference on Computers and Industrial engineering: Sustainable Digital Transformation, CIE 2023

作者： Elsahly, O. Abdelfatah, A. Alshraideh, H. Engineering Systems Management PhD Program American University of Sharjah Sharjah United Arab Emirates Department of Civil Engineering American University of Sharjah Sharjah United Arab Emirates Department of Industrial Engineering American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781713886952

Traffic incidents are non-recurring events that disrupt normal traffic flow and can have negative impacts on traffic operations, safety, and economy. As a result, there is a growing need for developing effective and reliable Automatic Incident Detection (AID) systems to detect incidents as early as possible to minimize their impacts. Machine Learning models, such as Neural Networks and Random Forests, have been utilized to develop AID models. However, the performance of machine learning models is significantly determined by its hyperparameters that need to be tuned to improve its performance in detecting incidents accurately and quickly. In this study, incident and normal traffic scenarios were generated using traffic simulator data, which is used to train and test a Random Forest incident detection model. The proposed methodology uses VISSIM microsimulation software to generate a diverse dataset of incident and normal conditions scenarios. Traffic parameters such as flow rate, speed, and occupancy at upstream and downstream stations were used as input variables for the model. The Random Forest model was trained and tested through RapidMiner software with 5-fold cross validation. Model performance was enhanced through the model hyperparameters tunning. An improvement of 0.35% in the F-score and 0.15% in the overall accuracy was achieved compared to the default model parameters. Findings of this study suggest that the tunning of hyperparameters of Random Forest models is crucial for developing accurate AID systems. The proposed methodology and optimized hyperparameter values provided by this study can be used as a guideline for developing Random Forest models for incident detection in transportation systems. Overall, this study contributes to the development of accurate and efficient traffic incident detection systems, which could help to mitigate the negative impacts of traffic incidents and improve transportation operations, safety, and economy. © 2023 Computers an

关键词： Software testing

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