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IEEE Power and Energy Society General Meeting

作者： Oguzhan Ceylan Aleksandar Dimitrovski Michael Starke Kevin Tomsovic Department of Electrical and Electronics Engineering Istanbul Kemerburgaz University Power and Energy Systems Group Oak Ridge National Lab. Department of Electrical Engineering and Computer Science University of Tennessee

ISBN: (纸本)9781509041695

This paper combines an iterative approach based voltage control algorithm for allocating the reactive power outputs of distributed energy sources (DERs) with an Augmented Lagrangian voltage deviation optimization model that takes tap positions into consideration. The approach is applied to a modified IEEE 123 bus distribution test system with several PVs of varying output. Voltage variations due to the intermittent nature of the PVs in the distribution system are constrained by scheduling reactive power injections from the inverters. Allocating reactive power outputs of PVs and changing transformer tap positions allows the proposed approach to be used as an alternative to traditional distribution voltage control approaches. Simulation results show that the proposed method is able to keep voltage magnitudes in the normal voltage magnitude range with few tap operations.

关键词： Reactive power Inventors WATER FAUCETS dispensing system power splitting voltage magnitude Transformer tapping position computer algorithms

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algorithms for Managing, Querying and Processing Big Data in Cloud Environments

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algorithms 2016年第1期9卷 13-13页

作者： Cuzzocrea, Alfredo Univ Trieste DIA Dept I-34127 Trieste Italy ICAR CNR I-34127 Trieste Italy

An introduction is presented in which the editor discusses various reports within the issue on topics including problem of mining big data, Resource Description Framework (RDF) graphs, and cloud particle optimization ... 详细信息

关键词： BIG data RDF (Document markup language) computer algorithms

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Variable Step ILSE Based Control Algorithm for Power Quality Improvement of SPV System

Variable Step ILSE Based Control Algorithm for Power Quality...

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IEEE International Conference on Industrial and Information Systems

作者： Priyank Shah Ikhlaq Hussain Bhim Singh Dept. of Electrical Engineering Indian Institute of Technology Delhi Hauz-Khas New Delhi-110016 India

This paper proposes the use of a variable step based improved least sum of exponentials (VS-ILSE) control algorithm for single stage three phase grid connected photovoltaic (PV) system. The VS-ILSE algorithm provides a fundamental weight of active and reactive power components of load currents which are used to generate reference grid currents. This control algorithm provides the power quality improvement of distribution network likes load balancing, power factor correction. The perturb and observe (P&O) MPPT (Maximum Power Point Tracking) algorithm is used to obtain reference DC link voltage of VSC and also used to extract maximum power from the SPV array during varying environmental conditions. The proposed system is simulated in MATLAB/Simulink based environment of simpower system toolbox. The proposed algorithm is verified on a developed hardware and obtained responses are found satisfactory. The total harmonics distortions (THDs) of the grid currents and CCP (Common Coupling Point) voltages are found well according to an IEEE-519 and IEEE-929 standards.

关键词： Voltage control Switches Convergence Feeds Power quality Algorithm design and analysis Algorithm design and analysis Power quality computer algorithms Voltage regulation Switches Fodder FEEDS Quality Improvement Converge surface photovoltage maximum power point trackers

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Research on Construction Method of Operational Reliability Control Model for Space Manipulator Based on Particle Filter

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-11页

作者： Gao, Xin Wang, Yifan Sun, Hanxu Jia, Qingxuan Yang, Xiaojian Du, Mingtao Huang, Jingyu Beijing Univ Posts & Telecommun Sch Automat Beijing 100876 Peoples R China Beihang Univ Sch Automat Beijing 100191 Peoples R China

The operational reliability of the space manipulator is closely related to the control method. However the existing control methods seldom consider the operational reliability from the system level. A method to construct the operational reliability system control model based on particle filter for the space manipulator is presented in this paper. Firstly, the definition of operational reliability and the degree of operational reliability are given and the state space equations of the control system are established as well. Secondly, based on the particle filter algorithm, a method to estimate the distribution of the end position error and calculate the degree of operational reliability with any form of noise distribution in real time is established. Furthermore, a performance model based on quality loss theory is built and a performance function is obtained to evaluate the quality of the control process. The adjustment value of the end position of the space manipulator can be calculated by using the performance function. Finally, a large number of simulation results show that the control method proposed in this paper can improve the task success rate effectively compared to the simulation results using traditional control methods and control methods based on Bayesian estimation.

关键词： RELIABILITY (Engineering) PARALLEL robots MONTE Carlo method computer algorithms REAL-time computing NUMERICAL calculations

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Reproducing Kernel Algorithm for the Analytical-Numerical Solutions of Nonlinear Systems of Singular Periodic Boundary Value Problems

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-13页

作者： Abu Arqub, Omar Al Balqa Appl Univ Dept Math Salt 19117 Jordan

The reproducing kernel algorithm is described in order to obtain the efficient analytical-numerical solutions to nonlinear systems of two point, second-order periodic boundary value problems with finitely many singularities. The analytical-numerical solutions are obtained in the form of an infinite convergent series for appropriate periodic boundary conditions in the space W-2(3)[0, 1], whilst two smooth reproducing kernel functions are used throughout the evolution of the algorithm to obtain the required nodal values. An efficient computational algorithm is provided to guarantee the procedure and to confirm the performance of the proposed approach. The main characteristic feature of the utilized algorithm is that the global approximation can be established on the whole solution domain, in contrast with other numerical methods like onestep and multistep methods, and the convergence is uniform. Two numerical experiments are carried out to verify the mathematical results, whereas the theoretical statements for the solutions are supported by the results of numerical experiments. Our results reveal that the present algorithm is a very effective and straightforward way of formulating the analytical-numerical solutions for such nonlinear periodic singular systems.

关键词： KERNEL (Mathematics) computer algorithms NONLINEAR systems NUMERICAL solutions to differential equations BOUNDARY value problems FINITE element method

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Coalitional Game Theory for Cooperative Interference Management in Femtocell Networks

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-10页

作者： Shi, Yuanyuan Zhu, Gang Lin, Siyu Ding, Jianwen Xu, Shengfeng Beijing Jiaotong Univ State Key Lab Rail Traff Control & Safety Beijing 100044 Peoples R China Beijing Jiaotong Univ Sch Elect & Informat Engn Beijing 100044 Peoples R China

Dense deployment of femtocells can cause serious intra-tier interference in femtocell networks. In this paper, a new cooperative interference management approach which allows the femtocell user equipment (FUE) to merge into cooperative groups, that is, coalitions, for the uplink transmissions in a femtocell network is proposed, so as to reduce the intra-tier interference and improve the system performance. Taking into account the power cost for cooperation, we claim that all the FUEs are impossible to merge together, and we formulate the proposed cooperative problem as a coalitional game in partition form with an externality due to the interference between the formed coalitions. To get the solution, a novel distributed coalition formation algorithm that takes advantage of the characteristics of femtocell network and allows the FUEs to interact and individually decide on which coalitions to participate in is proposed. Furthermore, we analyze the convergence and stability of the proposed algorithm. Simulations are conducted to illustrate the behavior and the performance of the proposed coalition formation algorithm among FUEs. Results show that the proposed algorithm can improve the system performance with much lower complexity than some previously proposed coalition formation algorithms.

关键词： FEMTOCELLS GAME theory DEPLOYMENT (Military strategy) computer algorithms COMPUTATIONAL complexity

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Finding Robust Assailant Using Optimization Functions (FiRAO-PG) in Wireless Sensor Network

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-7页

作者： Shukla, Piyush Kumar Goyal, Sachin Wadhvani, Rajesh Rizvi, M. A. Sharma, Poonam Tantubay, Neeraj RGPV UIT Dept Comp Sci & Engn Bhopal India RGPV UIT Dept Informat Technol Bhopal India MANIT Dept Informat Technol Bhopal India NITTTR Dept Comp Engn & Applicat Bhopal India MITS Dept Comp Sci & Informat Technol Gwalior India

Wireless sensor network consists of hundreds or thousands of low cost, low power, and self-organizing tiny sensor nodes that are deployed within the sensor network. Sensor network is susceptible to physical attacks due to deprived power and restricted resource capability and is exposed to external environment for transmitting and receiving data. Node capture attack is one of the most menacing attack in the wireless sensor network and may be physically captured by an adversary for extracting confidential information regarding cryptographic keys, node's unique id, and so forth, from its memory to eliminate the confidentiality and integrity of the wireless links. Node capture attack suffers from severe security breach and tremendous network cost. We propose an empirically designed multiple objectives node capture attack algorithm based on optimization functions as an effective solution against the attacking efficiency of node capture attack. Finding robust assailant optimization-particle swarm optimization and genetic algorithm (FiRAO-PG) consists of multiple objectives: maximum node participation, maximum key participation, and minimum resource expenditure to find optimal nodes using PSO and GA. It will leverage a comprehensive tool to destroy maximum portion of the network realizing cost-effectiveness and higher attacking efficiency. The simulation results manifest that FiRAO-PG can provide higher fraction of compromised traffic than matrix algorithm (MA) so the attacking efficiency of FiRAO-PG is higher.

关键词： ROBUST control MATHEMATICAL optimization FUNCTIONS (Mathematics) WIRELESS sensor networks DATA transmission systems computer algorithms

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Photorealistic volume scattering model in the bidirectional stochastic ray tracing problem

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PROGRAMMING AND computer SOFTWARE 2015年第5期41卷 295-301页

作者： Zhdanov, D. D. Garbul, A. A. Potemin, I. S. Voloboy, A. G. Galaktionov, V. A. Ershov, S. V. Sokolov, V. G. St Petersburg Natl Res Univ Informat Technol Mech St Petersburg 197101 Russia Russian Acad Sci Keldysh Inst Appl Math Moscow 125047 Russia Vavilov State Opt Inst St Petersburg 99053 Russia

This paper is devoted to the development of physically correct rendering model of scenes containing volume scattering objects. The solution of the rendering equation is based on the Monte-Carlo bidirectional ray tracing. Two efficient approaches to the solution of the rendering equation for different parameters of the volume scattering medium (typically, concentration of scattering particles) are developed. Examples illustrate how the proposed models can be used for photorealistic visualization of scenes containing volume scattering objects and for the simulation of illuminators based on the volume scattering effect. Possible limitations of the application field of the proposed models are considered.

关键词： RAY tracing algorithms computer algorithms SCATTERING (Mathematics) MONTE Carlo method MATHEMATICAL models RESEARCH

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A fine-grained analysis of the support provided by UML class diagrams and ER diagrams during data model maintenance

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SOFTWARE AND SYSTEMS MODELING 2015年第1期14卷 287-306页

作者： Bavota, Gabriele Gravino, Carmine Oliveto, Rocco De Lucia, Andrea Tortora, Genoveffa Genero, Marcela Cruz-Lemus, Jose A. Univ Salerno I-84100 Salerno Italy Univ Molise Pesche Isernia Italy Univ Castilla La Mancha La Mancha Spain

This paper presents the results of an empirical study aiming at comparing the support provided by ER and UML class diagrams during maintenance of data models. We performed one controlled experiment and two replications that focused on comprehension activities (the first activity in the maintenance process) and another controlled experiment on modification activities related to the implementation of given change requests. The results achieved were analyzed at a fine-grained level aiming at comparing the support given by each single building block of the two notations. Such an analysis is used to identify weaknesses (i.e., building blocks not easy to comprehend) in a notation and/or can justify the need of preferring ER or UML for data modeling. The analysis revealed that the UML class diagrams generally provided a better support for both comprehension and modification activities performed on data models as compared to ER diagrams. Nevertheless, the former has some weaknesses related to three building blocks, i.e., multi-value attribute, composite attribute, and weak entity. These findings suggest that an extension of UML class diagrams should be considered to overcome these weaknesses and improve the support provided by UML class diagrams during maintenance of data models.

关键词： DATA modeling SOFTWARE engineering computer software computer simulation DATA analysis computer algorithms

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Assembly Line Productivity Assessment by Comparing Optimization-Simulation algorithms of Trajectory Planning for Industrial Robots

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-10页

作者： Rubio, Francisco Llopis-Albert, Carlos Valero, Francisco Lluis Suner, Josep Univ Politecn Valencia CIIM Valencia 46022 Spain

In this paper an analysis of productivity will be carried out from the resolution of the problem of trajectory planning of industrial robots. The analysis entails economic considerations, thus overcoming some limitations of the existing literature. Two methodologies based on optimization-simulation procedures are compared to calculate the time needed to perform an industrial robot task. The simulation methodology relies on the use of robotics and automation software called GRASP. The optimization methodology developed in this work is based on the kinematics and the dynamics of industrial robots. It allows us to pose a multiobjective optimization problem to assess the trade-offs between the economic variables by means of the Pareto fronts. The comparison is carried out for different examples and from a multidisciplinary point of view, thus, to determine the impact of using each method. Results have shown the opportunity costs of non using the methodology with optimized time trajectories. Furthermore, it allows companies to stay competitive because of the quick adaptation to rapidly changing markets.

关键词： COMPARATIVE studies PROCESS optimization computer simulation computer algorithms INDUSTRIAL robots

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