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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Gao, Shuning Zhao, Haoran Gui, Yonghao School of Electrical Engineering Shandong University Ji'nan250061 China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Ji'nan250061 China Automation and Control Section Department of Electronic Systems Aalborg University Aalborg Denmark

ISBN: (纸本)9781728135205

The Grid voltage Modulated Direct Power control (GVM-DPC) for Voltage Source Converter (VSC) is a recently proposed superior control strategies which features several advantages such as fast power reference tracking, simple structure, no need to use synchronizing techniques, strong robustness and so on. In this paper, an improved Dual Grid Voltage Modulated Direct Power control (D-GVM-DPC) strategies for unbalanced grid voltage condition is proposed and compared with regular voltage oriented dual PI control techniques. The idea of this improvement is to separately control the positive and negative sequence power components based on the original GVM-DPC controller. The simulation results shows that the proposed strategy is superior to the dual current control schemes been used with voltage oriented control strategy. © 2019 IEEE.

关键词： Electric power transmission networks

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Anomaly Detection of Markov Processes with Evolution Equation and Moments ⁎

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IFAC-PapersOnLine 2020年第2期53卷 1974-1979页

作者： Rafal Wisniewski Manuela L. Bujorianu Section of Automation & Control Department of Electronic Systems Aalborg University Fredrik Bajers Vej 7C 9220 Aalborg Denmark Maritime Safety Research Center Department of Naval Architecture Ocean & Marine Engineering University of Strathclydes G4 0LZ Glasgow Scotland UK

Our departure point is the evolution equation of a Markov process. It describes the changes in the transition probability as time passes. We compare the transition probability for a priori model with the actual transition probability of the observed process to detect a mismatch between the expected and the measured data. To translate this idea into an algorithm, we characterise the involved measures by their moments. Specifically, a linear dynamic system is put forward that describes the evolution of moments. As the last result, we define a moment divergence as the means of computing the distance between two sequences of moments. We see the work as a step towards merging model-driven and data-driven concepts in control engineering. To elucidate the concepts introduced, we have incorporated several simple examples.

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Reinforcement Learning for Mixing Loop control with Flow Variable Eligibility Trace

Reinforcement Learning for Mixing Loop Control with Flow Var...

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control Technology and Applications (CCTA),

作者： Anders Overgaard Brian Kongsgaard Nielsen Carsten Skovmose Kallesøe Jan Dimon Bendtsen Core Technology -Department of Control Technology Grundfos Holding A/S Bjerringbro Denmark Department of Electronic Systems section of Automation and Control alborg University Aalborg Denmark

Mixing Loops are often used for proper pressurization and temperature control in building thermal systems. Optimal control of the mixing loop maximizes comfort while minimizing cost. To ensure optimal control for mixing loops in a wide range of different buildings with different load conditions, a self learning controller is here proposed. The controller uses Reinforcement Learning with flow variable eligibility trace. The controller is shown to improve performance of the mixing loop control compared to state of the art reinforcement learning and industrial grade controllers. The controller is tested on a hardware in the loop setup for rapid testing of mixing loop control used in building heating.

关键词： Buildings Learning (artificial intelligence) Heating systems Hydraulic systems Delays Monte Carlo methods

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Multi-Rotor Wind Turbine control Challenge - A Benchmark for Advanced control Development 2

Multi-Rotor Wind Turbine Control Challenge - A Benchmark for...

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2nd IEEE Conference on control Technology and Applications, CCTA 2018

作者： Sorenserr, Kim Hylling Knudsen, Torben Filsoof, Oliver Tierdad Hovgaard, Tobias Gybel Grunnet, Jacob Deleuran Neto, Julio Xavier Vianna Wisniewski, Rafal Vestas Wind Systems Denmark Department of Electronic Systems Section of Automation and Control Aalborg University Denmark

ISBN: (纸本)9781538676981

We consider the control of a multi-rotor wind turbine consisting of two or more nacelles, each with at least a rotor and a generator, fixed to the same load carrying structure. We present a set of control challenges and provide an easily accessible simulation model as a benchmark for development of new ideas and comparison of methods for multi-rotor control. The control objective for the multi-rotor is to minimize the fatigue in the structure supporting the nacelles, while maximizing generated power and observing constraints on, e.g., rotational speed, rotor thrust, etc. We describe a model including the basic dynamics for a four rotor turbine. For this model an open Simulink model is made available for download. Furthermore, we provide an animation tool for visualization of the movement of the support structure during simulations. As an example we design and test a controller using the simulator. The is test completed for normal turbulence conditions obtaining significant fatigue load reductions with a limited power loss. © 2018 IEEE.

关键词： Wind turbines

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Intelligent sensors based on amorphous nanostructures according to achieve an optimal waste collection in Lima Peru

Intelligent sensors based on amorphous nanostructures accord...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： J. Alan Calderón Ch. E. Benjamín Barriga G. Julio C. Tafur Alan Ccarita John Lozano Rodrigo Urbizagástegui Applied Nanophysics Institute for Physics Technical University of Ilmenau Ilmenau Germany Engineering Department Mechatronics Engineering Master Program Pontificia Universidad Católica del Perú Perú Engineering Department Mechanical Engineering Master Program Pontificia Universidad Católica del Perú Perú Engineering Department Control Engineering and Automation Master Program Mechatronic Engineering Master Program Pontificia Universidad Católica del Perú Perú Northen (Artic) Federal University Named After MV Lomonosov Arkhangelsk Russian Federation Engineering Department Engineering Electronic Section Pontificia Universidad Católica del Perú Perú

ISBN: (纸本)9781665409858

An optimal waste collection is a very complicated task in different countries. However, this task is more intricate, when there is not an organized procedure between people, government and technology. In this research it was studied and proposed strategies, to optimize the waste collection by technical suggestions, that were based on mathematical analysis and new technologies applications of sensors based on nanostructures due to this kind of sensors have good performance to measure physical variables in not simple places and conditions, such as around waste. Hence the reason, this work is prepared to contribute in the development of sensors based on nanostructures according to detect the physical variables: temperature, humidity, infrared reflection, moreover carbon dioxide (CO2) and methane (CH4) gases, which help to monitor the consequences of a not correct waste *** dependence on central and local government rules of waste management, it could be possible to find solution about organized waste collection, in which every family and walkers in streets would have the task to select the organic and inorganic garbage before the government trucks take the contents of the garbage trash cans to the landfill garbage dumps. However, many times the trash cans are not taken on time by the government trucks and garbage from them are producing gases and decomposition that causes contamination that damages health. Therefore, in this work there are proposed designed intelligent sensors, which are fixed in the trash cans due to measure physical parameters to give alarm for administrators controllers of boxes and to enhance the garbage selections from homes and streets to the main garbage landfills of the city. In other side, there will not be right solution in the waste collection, no matter the high advantage technologies, while humans could not be sensitive under this problematic. There are cleaned areas in cities, as for example touristic places, nevertheless, there

关键词： Temperature sensors Temperature measurement Waste management Gases Temperature dependence Urban areas Nanostructures

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Anti-Sway control for Crane Systems: Robust Design with LMI Optimization 2

Anti-Sway Control for Crane Systems: Robust Design with LMI ...

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2nd IEEE Conference on control Technology and Applications, CCTA 2018

作者： Kawai, Fukiko Hayashi, Takashi Kaneko, Takayuki Andersen, Palle Dimon Bendtsen, Jan Section of Automation and Control Department of Electronic Systems Aalborg University Aalborg9220 Denmark Fuji Electric Co. Ltd. Japan

ISBN: (纸本)9781538676981

Disturbance Feedback control (DFC) is a control concept in which an existing controller is augmented with an additional feedback in order to achieve better disturbance rejection performance. This paper proposes an anti-sway control scheme for crane systems using robust DFC designed to minimize the sway angle and trolley position errors via Linear Matrix Inequality optimization. The robust DFC is added to an existing crane control system composed of a feed forward and state feedback control. Simulation results for the gantry crane system show improvements in control performance when the gantry load is subjected to impulse force disturbances. © 2018 IEEE.

关键词： Feedback control

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Stochastic Stability Analysis of control Systems with Uncertain Communication

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IFAC-PapersOnLine 2017年第1期50卷 6172-6177页

作者： Sloth C. Wisniewski R. Section of Automation & Control Aalborg University Denmark

This paper presents conditions for determining the stability of a networked control system. We assume that a given system is designed to be stochastically stable, when disregarding the implementation of the controller on a network. Based on the system description and an associated Lyapunov function, we provide conditions for the quality of the network under which the networked system is stable. In particular, we provide a valid inter-sampling interval, mean communication delay, and a set to which the system converges in the mean. © 2017

关键词： Communication constraints control over networks Stochastic stability

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A Voltage Modulated Direct Power control of the Doubly Fed Induction Generator

A Voltage Modulated Direct Power Control of the Doubly Fed I...

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IEEE Power and Energy Society General Meeting

作者： Shuning Gao Haoran Zhao Yonghao Gui Zhenbing Zhang Qiuwei Wu School of Electrical Engineering Shandong University Ji'nan China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Ji'nan China Automation & Control Section Aalborg University Aalborg Denmark Technical University of Denmark Lyngby Denmark

In this paper, a Voltage Modulated Direct Power control (VM-DPC) for doubly fed induction generator is proposed. The suggested method is implemented in the rotor reference frame, so that the phase-lock loop can be removed and relevant potential instability can be eliminated. The main advantage is that the proposed method has a relative simple structure compare to conventional Look-Up Table (LUT) DPC and sliding mode control (SMC), besides, it not only guarantees an enhanced transient performance but also keeps the steady-state harmonic spectra at the same level as voltage-oriented strategy. Finally, a simulation based on MATLAB/Simulink is provided to validate the performance of proposed VM-DPC strategy.

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Wind Farm Power Forecasting for Less Than an Hour Using Multi Dimensional Models

Wind Farm Power Forecasting for Less Than an Hour Using Mult...

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European control Conference

作者： Torben Knudsen Thomas Bak Tom Norgaard Jensen Section of Automation and Control Aalborg University Fredrik Bajers Vej Aalborg Denmark

This research focuses on prediction of wind farm power for horizons of 0-10 minutes and not more than one hour using statistical methods. These short term predictions are relevant for both transmission system operators, wind farm operators and traders. Previous research indicates that for short time horizons the persistence method performs as well as more complex methods. However, these results are based on accumulated power for an entire wind farm. The contribution in this paper is to develop multi-dimensional linear methods based on measurements of power or wind speed from individual wind turbine in a wind farm. These multi-dimensional methods are compared with the persistence method using real 1 minute average data from the Sheringham Shoal wind farm with 88 turbines. The results show that the use of measurements from individual turbines reduce the prediction errors 5-10% and also improves the prediction error variance estimate compared to the persistence method. We also present convincing examples showing that the predictions follow the wind farm power over a window of an hour.

关键词： Wind farms Uncertainty Wind forecasting Predictive models Wind speed Wind turbines

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Predictive control of Hydronic Floor Heating Systems using Neural Networks and Genetic Algorithms

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IFAC-PapersOnLine 2017年第1期50卷 7381-7388页

作者： Vinther K. Green T. Jensen S.Ø. Bendtsen J.D. Section of Automation and Control Aalborg University Denmark Danish Technological Institute Denmark

This paper presents the use a neural network and a micro genetic algorithm to optimize future set-points in existing hydronic floor heating systems for improved energy efficiency. The neural network can be trained to predict the impact of changes in set-points on future room temperatures. Additionally, weather disturbances such as solar heat gain can be anticipated and compensated for, while taking into account the slow dynamics of the floor. Together with a genetic algorithm, they provide a way to search for optimal future set-point sequences, when convexity and continuity in the solution space is not guaranteed. Evaluation of the performance of multiple neural networks is performed, using different levels of information, and optimization results are presented on a detailed house simulation model. © 2017

关键词： Evolutionary algorithms Floor heating House modeling Modeling for control optimization Nonlinear predictive control

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