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检索条件"任意字段=7th International Conference on Functional Programming"

共 3597 条记录，以下是921-930 订阅

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Ordinal optimisation approach for complex distribution network reconfiguration

Ordinal optimisation approach for complex distribution netwo...

引用

7th international conference on Renewable Power Generation, RPG 2018

作者： Xing, Haijun Hong, Shaoyun School of Electric Power Engineering Shanghai University of Electric Power Shanghai China Electric Power Economic Research Institute of State Grid Jiangxi Electric power Co. Ltd. Nanchang China

the increasing complexity of the distribution system makes the practical distribution network operation much difficult. this paper presents an ordinal optimisation (OO) approach to solve the distribution network reconfiguration, which is an NP-hard problem with discrete control variables. OO uses crude and computationally fast model to reduce the search space. the spirit of OO is to seek the good enough solution instead of the best with high probability. the proposed approach is validated with two practical distribution systems, TPC 84 node test system. the results are compared with Optimal Flow Pattern (OFP), Common Genetic Algorithm (CGA), Partheno Genetic Algorithm with Tree Structure Encoding technology (TSE-PGA) and Second-Order Cone programming (SOCP). © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Second-order cone programming

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Control Optimization for Liquid Pipelines under Leak Condition 7

Control Optimization for Liquid Pipelines under Leak Conditi...

引用

7th international conference on Industrial Technology and Management (ICITM)

作者： Zhang, Haoran Zhang, Wan Xu, Ning Yuan, Meng Liang, Yongtu China Univ Petr Beijing Key Lab Urban Oil & Gas Distribut Technol Beijing Peoples R China

ISBN: (纸本)9781538613290

Apart from posing a threat to people's security, liquid pipeline leak will generate a large scale of environmental pollution, taking its toll for individuals and enterprises. An active control can minimize the impact. the hydraulic system of a pipeline is rather complex under leak condition, making it difficult to work out a plan for the optimal control scheme of pipeline's hydraulic devices. Researchers have proposed a series of methods to solve the optimal control scheme of a leak pipeline, few of which have taken complex transient process into consideration. the paper proposes a mixed-integer linear programming model to address the problem, and applies the branch and bound algorithm for model solution. the objective of the model is to find out an optimal control scheme to reduce the leakage volume to minimum. the transient process, hydraulic constraints, device constraints and flow rate constraints are considered in the model and the branch and bound algorithm is used to solve the model. Experiments on a real-world liquid pipeline have demonstrated the practicability and high reliability of the proposed model.

关键词： control scheme liquid pipeline mixed-integer linear programming model leak condition

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Selective In-band Network Telemetry for Overhead Reduction 7

Selective In-band Network Telemetry for Overhead Reduction

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IEEE 7th international conference on Cloud Networking (CloudNet)

作者： Kim, Youngho Suh, Dongeun Pack, Sangheon Samsung Elect Suwon South Korea Korea Univ Seoul South Korea

ISBN: (纸本)9781538668313

In-band network telemetry (INT) in programming protocol-independent packet processor (P4) is an emerging network monitoring framework that allows data packets to query different switch-internal states. Meanwhile, the existing INT monitors all data packets and thus significant network overhead can be caused by per-packet INT header and the monitoring engine can be overloaded. To address these issues, we proposed a selective INT (sINT) where the ratio of packets to be monitored can be adjusted depending on the frequency of significant changes in network information. the preliminary results show that sINT can detect all the significant data plane events while reducing the network overhead and the monitoring engine load.

关键词： Radio frequency Monitoring Switches Engines Metadata programming Bandwidth

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A New Web-Based Cross-Energy Optimization and Simulation Environment 7

A New Web-Based Cross-Energy Optimization and Simulation Env...

引用

7th international Energy and Sustainability conference (IESC)

作者： Schwenk, Andreas Rhein, Beate Randerath, Hubert TH Koln Univ Appl Sci Fac Informat Media & Elect Engn Betzdorfer Str 2 D-50679 Cologne Germany

ISBN: (纸本)9781538654972

Making reliable and comprehensible decisions in the context of renewable energy requires complex software solutions. Based on previous work that specifies the Cross Energy Management programming Language (CEMPL), we present a new web-based tool chain to map real-world objectives and constraints to a set of formalized problem descriptions that is solvable in reasonable time. We describe the main components of the software and its coherence in the field of renewable energy. As proof of concept, we describe and solve a self-contained example with a cross-energy application. We prove that small, declarative programs are sufficient for a varied set of scenarios and simulation results. In particular, we focus on the examination of accumulated super-states for the energy sectors power, gas and heat. the objective is to dimension energy converters and storage systems, based on given constraints. thus, forecasts are made to enable reliable and green fulfillments of future demands.

关键词： Cross Energy Domain-Specific Language (DSL) Mathematical programming Modeling Simulation Software Engineering Web Services

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Hybrid mixed-integer non-linear programming approach for directional over-current relay coordination

Hybrid mixed-integer non-linear programming approach for dir...

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7th international conference on Renewable Power Generation, RPG 2018

作者： Javadi, Mohammad Sadegh Nezhad, Ali Esmaeel Anvari-Moghadam, Amjad Guerrero, Josep M. Department of Electrical Engineering Shiraz Branch Islamic Azad University Shiraz Iran Department of Electrical Electronic and Information Engineering University of Bologna Italy Department of Energy Technology Aalborg University Aalborg East9220 Denmark

this article proposes the optimal coordination problem of protective relays within a hybrid optimisation framework which is presented based on integer coded genetic algorithm (ICGA) and non-linear programming (NLP). the optimal coordination problem of directional overcurrent relays (DOCRs) is implemented while aimed at finding the optimal plug setting multiplier (PSM) and time dial setting (TDS). In this respect, PSM is a function of the current transformer (CT) size and the tap of the relay which is discrete in nature. TDS is a function of the operating time of the relay for different short-circuit currents at different locations of the system. Here, the variables of the problem are decomposed into continuous and discrete variables. the first stage of the problem uses the ICGA to determine the size of CTs considering the permitted tap of relays while the second stage utilises the NLP method to evaluate the feasibility and optimality. the presented framework is then simulated on an 8-bus test system. the obtained results verify the effectiveness and the applicability of the optimisation technique to find the optimal settings of DOCRs. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Nonlinear programming

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A Method on Multiple Objective Balancing of U-type Assembly Line 7

A Method on Multiple Objective Balancing of U-type Assembly ...

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7th international conference on Industrial Technology and Management (ICITM)

作者： Li, Baodong Yang, Yu Wang, Sheng Su, Jiafu Chongqing Univ State Key Lab Mech Transmiss Chongqing Peoples R China

ISBN: (纸本)9781538613290

the U-type assembly line is currently the focus research in production enterprises. However, the traditional assembly line balancing mostly optimizes the single objective ignoring the relationships between each other. therefore, through the transformation of assembly sequence, a multiple objective mathematical model of the U-type assembly line is established based on the present analysis of enterprise assembly line process by maximizing the balance efficiency, optimizing the workstation load and increasing capacity. then, the mathematical model is solved by lingo software to find the global optimal solution. In a practical application, we selected five different workstations in the Lingo software platform, calculated the loading effect of balance, and then compared U-type to straight assembly line to verify the feasibility and effectiveness of the proposed models and method in this research.

关键词： assembly line balancing multiple objective optimization linear programming U-type assembly line

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Pilot Experience: Play and Program with Bee-Bot to Foster Computational thinking Learning in Young Children

Pilot Experience: Play and Program with Bee-Bot to Foster Co...

引用

international Engineering, Sciences and Technology conference (IESTEC)

作者： Yen-Air Caballero-González Lilia Muñoz Ana García-Valcárcel Muñoz-Repiso Universidad de Salamanca Salamanca Spain Universidad Tecnológica de Panamá Panama City Panama

ISBN: (纸本)9781728116921

this document presents some results obtained in the development of the pilot experience "My first steps in robotics". the activity is part of a doctoral research aimed at promoting programming skills and computational thinking through robotics in the early stages of school. In the formative experience participated teachers and students of pre-school education from a school in Salamanca, Spain, during the academic year 2016-2017. the proposed activities were based on solving problems through programming challenges with the Bee-Bot® robot. In order to collect data, questionnaires, rubrics, field diaries and interviews were used. the results show teachers and students favorably accepted the robotics resource used and the learning activities. In the same way, the performance achieved by the students marked a favorable level according to the evaluation scale used. therefore, the development of the pilot experience was effective and useful in strengthening the research activities that were subsequently carried out.

关键词： Instruments Medical services programming profession Education Robot sensing systems

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Optimal Energy Management of an Autonomous Hybrid Energy System 7

Optimal Energy Management of an Autonomous Hybrid Energy Sys...

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7th IEEE international conference on Power and Energy (PECon)

作者： Obaro, Adewale Z. Munda, Josiah L. Siti, Mukwanga W. Tshwane Univ Technol Elect Engn Pretoria South Africa

ISBN: (纸本)9781538654316

the rising operating cost of power systems and over-utilization of fossil fuel deposits have led to continuous energy scarcity and a wide gap between energy demand and supply. these pose critical challenges across the world. the renewable energy sources (RESs) provide a viable and sustainable energy alternative which is capable of meeting the exponential energy growth, reducing over-dependency on fossil fuels as well as minimizing global warming. this paper presents an optimal control and management of an autonomous hybrid energy system (AHES) that reliably supplies energy demand at a minimum daily operating cost. the non-linear cost function is formulated as a mixed integer nonlinear programming (MINLP) problem to optimize the use of renewable resources and minimize the utilization of diesel generator (DG). the unpredictability inherent in RESs is addressed through the optimal design and management of multiple energy generation sources, and battery storage system (BSS). the MINLP optimization technique employed is validated with a dynamic commercial daily load profiles. the simulation results show that the proposed hybrid system significantly minimizes daily operating cost and improves supply reliability when compared to DG-single system.

关键词： hybrid energy system battery storage system mixed integer nonlinear programming energy management technique

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NMPC-based Controller for Autonomous Vehicles Considering Handling Performance

NMPC-based Controller for Autonomous Vehicles Considering Ha...

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international conference on Control, Mechatronics and Automation (ICCMA)

作者： Mohammad Rokonuzzaman Navid Mohajer Saeid Nahavandi Institute for Intelligent Systems Research and Innovation (IISRI) Deakin University Australia

Autonomous Vehicles (AVs) have shown an evolutionary impact on the transportation systems by providing several benefits in terms of active safety as well as saving travel cost and time. the growing market of the AVs reflects the fact that different aspects of the AVs are still improving to provide a more comfortable and safer environment for the passengers. One of the subsystems which has potential to be improved is the path tracking controller. this subsystem is mainly responsible for the accurate and safe implementation of the trajectories. In this study, a nonlinear path tracking controller is proposed to improve the handling behavior of the AV. To this aim, a Nonlinear Model Predictive Controller (NMPC) is developed to optimise the tracking error and the handling behaviour of the AV. the constrained optimisation problem is solved using a nonlinear programming approach. the outcomes of the study show that adoption of this technique can result in improvement of handling behaviour and passengers comfort while meeting the requirement of an accurate path tracking.

关键词： mobile robots nonlinear control systems nonlinear programming optimisation path planning position control predictive control road vehicles transportation

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Nonlinear Model Predictive Control of Robot Manipulators Using Quasi-LPV Representation

Nonlinear Model Predictive Control of Robot Manipulators Usi...

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international conference on Control, Mechatronics and Automation (ICCMA)

作者： Mojtaba Esfandiari Sonny Chan Garnette Sutherland David Westwick University of Calgary Department of Electrical and Computer Engineering University of Calgary

Nonlinear optimization techniques often suffer from time-consuming computational load, which impedes them to be implemented as controller of fast plans, or when a fast action like trajectory tracking is required. In this paper, a Nonlinear Model Predictive Control (NMPC) approach is used to perform the trajectory tracking problem in a robot manipulator in the presence of input saturation and un-modeled dynamics, using the Quasi-Linear Parameter Varying (Quasi-LPV) representation. In this method, instead of the nonlinear state difference equations of the system, a sequence of linearized state equations about a nominal state-control history, over the prediction horizon, is used. By so doing, standard Quadratic programming (QP) optimization algorithms could be used for the online optimization problem, therefore, speed and efficiency of convergence to the optimal solution would be enhanced. Efficacy of this method is shown by simulation study of a 2-DOF robot manipulator.

关键词： linear parameter varying systems manipulator dynamics manipulators nonlinear control systems optimal control predictive control quadratic programming trajectory control

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