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Modelling access control for CIM based graph model in Smart Grids

Modelling access control for CIM based graph model in Smart ...

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international conference on Signal Processing and Information Security (ICSPIS)

作者： Kovacevic, Ivana Erdeljan, Aleksandar Zaric, Miroslav Dalcekovic, Nikola Lendak, Imre Univ Novi Sad Fac Tech Sci Novi Sad Serbia

ISBN: (纸本)9781728102573

Consumption of electricity has grown, and that tendency will continue according to Energy Information Administration (EIA). Most modern distribution networks, evolving into Smart Grids, are managed through sophisticated software, such as advanced distribution management systems (ADMS). Their operations are based on gathering, analysis and transformation of data coming from the different devices in distribution network. Data volume in Smart Grids is increasing rapidly. Therefore, handling that growing amount of data may pose significant challenges for relational databases in the future, as they may struggle with demand for execution of complex queries. In some cases, like in modeling power system network, the data model is naturally represented by a graph, hence graph databases could provide viable, more efficient alternative. The paper is proposing an approach to include sensitive data access permissions in a graph oriented database - enabling us to decide who can access the sensitive data and who cannot. We have performed analysis on security controls to limit the access to personal data using a realistic data model derived from an existing network model of power distribution utility based in Europe, but described approach is also applicable to other sensitive data. We concluded that the proposed approach would provide ability for implementing access management security controls, while each approach would differently affect the levels of overall system performances.

关键词： graph database smart grids privacy

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Bifurcation from chaos to periodic states in bidirectional interconnected Lorenz systems by the variation of the coupling strengths

Bifurcation from chaos to periodic states in bidirectional i...

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5th IFAC conference on Analysis and control of Chaotic systems (CHAOS)

作者： Ontanon-Garcia, L. J. Garcia Martinez, M. Campos Canton, I. Soubervielle Montalvo, C. Ramirez Torres, M. T. Lozoya Ponce, R. E. Univ Autonoma San Luis Potosi Coordinat Acad Reg Altiplano Oeste Carretera Santo Domingo 200 Salinas De Hidalgo 78600 SLP Mexico Tecnol Monterrey Escuela Ingn & Ciencias San Luis Potosi San Luis Potosi Mexico Univ Autonoma San Luis Potosi Fac Ciencias San Luis Potosi Mexico Univ Autonoma San Luis Potosi Fac Ingn San Luis Potosi Mexico Univ Guadalajara CU Los Valles Dept Ciencias Computac & Ingn Guadalajara Jalisco Mexico

After analyzing the resulting states of two bidirectionally linear interconnected Lorenz systems by the variation of the coupling strengths a bifurcation from chaos to period have been detected. The systems lose asymptotical stability as the coupling strengths takes specific values. These coupling strengths have been adjusted in order to be opposite in sign (i.e., one positive and one negative), and can be considered as a bifurcation parameter on the states of the resulting trajectories. The coupled system has been studied by means of bifurcation analysis, the distance between the resulting trajectories and the standard deviation along the iterated time. Numerical examples of the phase states of the coupled systems along with the bifurcation graphs are presented in order to visualize the resulting chaotic or periodic trajectories as well as the synchronized states. (C) 2018, IFAC (international Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： control of Bifurcations Oscillations and Chaos modeling and Identification of Nonlinear systems Stability and complex Dynamics

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control of Anaerobic Digestion Reactor with Recirculation Using an Input-Output Linearizing control Strategy

Control of Anaerobic Digestion Reactor with Recirculation Us...

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10th IFAC Symposium on control of Power and Energy systems (CPES)

作者： Tawai, Atthasit Panjapornpon, Chanin Sriariyanun, Malinee Cheenkachorn, Kraipat King Mongkuts Univ Technol North Bangkok Sirindhorn Int Thai German Grad Sch Engn Dept Mech & Proc Engn Bangkok 10800 Thailand Kasetsart Univ Dept Chem Engn Fac Engn Bangkok 10900 Thailand King Mongkuts Univ Technol North Bangkok Dept Chem Engn Fac Engn Bangkok 10800 Thailand

This work deals with the development and application of a model-based control system for an anaerobic digestion process which can recover energy using methane combustion. Due to the spatially distributed dynamics of some variables of the upflow anaerobic sludge blanket (UASB) reactor, a type of anaerobic digestion process, the traditional control systems may have insufficient performance to handle the complexity. An input-output (I/O) linearizing control scheme for a UASB reactor is developed for a two-step (acidogenesis-methanogenesis) kinetic model described by a coupled PDE-ODE system. The organic substrate (characterized by COD) is manipulated through the feed flow to achieve the desired trajectories. A simulation for closed-loop responses of the proposed control system is conducted and control performances are determined for servo and regulatory problems. The results show that the developed method provides very good responses to achieve the desired set points and handle the control problems without offset. (C) 2018, IFAC (international Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Anaerobic digestion process Waste treatment I/O linearizing control Coupled PDE-ODE system UASB reactor

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18th international Scientific conference on Transport systems Telematics, TST 2018

18th International Scientific Conference on Transport System...

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18th international Scientific conference on Transport systems Telematics, TST 2018

ISBN: (纸本)9783319979540

The proceedings contain 36 papers. The special focus in this conference is on Transport systems Telematics. The topics include: Mobile telematics for motorway road work zones;modeling of transport network resilience in gdynia for disturbing events;influence of randomly uneven roads on selected problems of motor vehicle motion;electric public bus charging stations topography modelling;the vision system for diagnostics of railway turnout elements;mathematical model for safety evaluation of distributed interlocking system;Analysis of the migration process in the ertms system from GSM technology to LTE on the Polish railway;application of the safety and security impact reference model for communication based train control and management systems;comparison of some safety properties of architecture 2003 and architecture 2 × (2002);implementation of traffic service quality measures in Czechia;communication in safety systems for railway transport using the example of axle counter;The concept of the instrument landing system – ILS continuity risk analysis method;Analysis of the process of merging air traffic streams. Case study of TMA Warsaw;renovation of marine telematics objects in the process of exploitation;enhancing safety and reduction of maritime travel time with in-vehicle telematics;Fidelity of GNSS in marine simulators from the telematics’ perspective;overview of the vessel traffic system in the Republic of Croatia;autonomous ship – uesponsibility issues;use of automatic identification system as a source of information to avoid ships’ collisions at sea;the harmonization of the format and structure of maritime service portfolios;does Poland need eloran?.

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1st international conference on Intelligent systems in Production Engineering and Maintenance, ISPEM 2017

1st International Conference on Intelligent Systems in Produ...

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1st international conference on Intelligent systems in Production Engineering and Maintenance, ISPEM 2017

ISBN: (纸本)9783319644646

The proceedings contain 44 papers. The special focus in this conference is on Intelligent systems in Production Engineering and Maintenance. The topics include: A concept of an IT tool for supporting knowledge transfer among facility maintenance employees as part of intelligent organization;an intelligent system supporting a forklifts maintenance process;an intelligent system supporting a maintenance process of specialised medical equipment;incident detection in industrial processes utilizing machine learning techniques;intelligent systems of forecasting the failure of machinery park and supporting fulfilment of orders of spare parts;smartmaintenance - the concept of supporting the exploitation decision-making process in the selected technical network system;use of intelligent informatics module for registration and assessment of causes of breaks in selected mining machines;using a simulation method for intelligent maintenance management;a heuristic and simulation hybrid approach for mixed and multi model assembly line balancing;a new petri nets based approach for modeling of discrete manufacturing system;algorithm of autonomic shaping of workflow;an intelligent system for core-competence identification for industry 4.0 based on research results from german and polish manufacturing companies;an optimization approach for scheduling and lot sizing problems in electromechanical industry using GA-based method;application of neural-fuzzy system in prediction of methane hazard;application of support vector machine for determination of impact of traffic-induced vibrations on buildings and artificial neural networks as a means for making process control charts user friendly.

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Towards Autonomous AI systems for Resource Management: Applications in Industry and Lessons Learned 16th

Towards Autonomous AI Systems for Resource Management: Appli...

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16th international conference on Practical Applications of Agents and Multi-Agent systems (PAAMS)

作者： Skobelev, Petr Smart Solut Ltd Knowledge Genesis Grp Samara Russia Russian Acad Sci Inst Control Complex Syst Samara Russia Samara State Tech Univ Samara Russia

ISBN: (纸本)9783319945804;9783319945798

complexity of modern resource management is analyzed and related with a number of decision makers, high variety of individual criteria, preferences and constraints, interdependency of all operations, etc. The overview of existing methods and tools of Enterprise Resource Planning is given and key requirements for resource management are specified. The concept of autonomous Artificial Intelligence (AI) systems for adaptive resource management based on multi-agent technology is discussed. Multi-agent model of virtual market and method for solving conflicts and finding consensus for adaptive resource management are presented. Functionality and architecture of autonomous AI systems for adaptive resource management and the approach for measuring adaptive intelligence and autonomy level in these systems are considered. Results of delivery of autonomous AI solutions for managing trucks and factories, mobile teams, supply chains, aerospace and railways are presented. Considerable increase of enterprise resources efficiency is shown. Lessons learned from industry applications are formulated and future developments of AI for solving extremely complex problems of adaptive resource management are outlined.

关键词： complexity Artificial Intelligence Autonomous systems Adaptability Resource management Multi-agent technology Demand-Resource Networks Self-organization Competitive equilibriums Real-time economy

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Budget and User Feedback control Strategy-Based PRMS Scenario Web Application 15th

Budget and User Feedback Control Strategy-Based PRMS Scenari...

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15th international conference on Information Technology : New Generations, ITNG 2018

作者： Wu, Rui Painumkal, Jose Dascalu, Sergiu M. Harris, Frederick C. Department of Computer Science and Engineering University of Nevada RenoNV United States

ISBN: (纸本)9783319770277

The Precipitation-Runoff modeling System (PRMS) is used to study and simulate hydrological environment systems. It is common for an environmental scientist to execute hundreds of PRMS model runs to learn different scenarios in a study field. If the study case is complex, this procedure can be very time-consuming. Also, it is very hard to create different scenarios without an efficient method. In this paper, we propose a PRMS scenario web application. It can execute multiple model runs in parallel and automatically rent extra servers based on needs. The control strategy introduced in the paper guarantees that the expense is within the planned budget and can remind a system manager if the quantified user feedback score crosses the predefined threshold. The application has user-friendly interfaces and any user can create and execute different PRMS model scenarios by simply clicking buttons. The application can support other environmental models besides PRMS by filling the blueprint file. © 2018, Springer international Publishing AG, part of Springer Nature.

关键词： Budget control

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Mixed-Integer vs. Real-Valued Formulations of Battery Scheduling problems

Mixed-Integer vs. Real-Valued Formulations of Battery Schedu...

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10th IFAC Symposium on control of Power and Energy systems (CPES)

作者： Murray, Alexander Faulwasser, Timm Hagenmeyer, Veit Karlsruhe Inst Technol Inst Automat & Appl Informat Karlsruhe Germany

Coordinating the charging and discharging of a population of batteries with respect to load and generation forecasts decreases operating costs. However, in the case of asymmetric charging and discharging efficiencies the mathematical formulation of this problem is not straightforward. This paper compares the scheduling problem for a population of batteries in two formulations: mixed-integer (MINLP) and non-convex real-valued (NLP). In the case of the latter, the resulting separable NLP is solved using the Augmented Lagrangian based Alternating Direction Inexact Newton (ALADIN). In the case of the latter, the resulting MINLP is solved in hierarchical distributed fashion, we propose a mixed-integer extension of ALADIN. Real load and generation data is used to create an example of 54 batteries demonstrating improved performance for the MINLP formulation. (C) 2018, IFAC (international Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Distributed Optimization MINLP Battery Scheduling Power systems ALADIN

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A partition and interaction combined model for social event popularity prediction 16

A partition and interaction combined model for social event ...

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16th IEEE international conference on Intelligence and Security Informatics, ISI 2018

作者： Chen, Guandan Kong, Qingchao Mao, Wenji Zeng, Daniel State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China University of Chinese Academy of Sciences China

ISBN: (纸本)9781538678480

Social media platforms make the spread of social event information quicker and more convenient. Some of these social events may become hot topics, which highlights the importance of event popularity prediction in public management, decision making and other security related applications. Due to the complexity of social event itself, it has two unique characteristics which most previous popularity prediction work has ignored: (1) the discussion of an event itself may consist of several components, e.g. different sub-events, different stances or different user communities;(2) the popularity of an event can be influenced by other related events. To address its unique characteristics, we propose an event popularity prediction model combining partition and interaction. We employ reinforcement learning to automatically partition an event into components and recognize related events. Then we predict event popularity by modeling component information and interactions between related events. Experimental results on a real world dataset show that our proposed model can outperform the competitive baseline methods. © 2018 IEEE.

关键词： Reinforcement learning

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A New Lagrange-Newton-Krylov Solver for PDE-constrained Nonlinear Model Predictive control

A New Lagrange-Newton-Krylov Solver for PDE-constrained Nonl...

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6th international-Federation-of-Automatic-control (IFAC) conference on Nonlinear-Model-Predictive-control (NMPC)

作者： Christiansen, Lasse Hjuler Jorgensen, John Bagterp Tech Univ Denmark Dept Appl Math & Comp Sci DK-2800 Lyngby Denmark Tech Univ Denmark Ctr Energy Resources Engn DK-2800 Lyngby Denmark

Real-time optimization of systems governed by partial differential equations (PDEs) presents significant computational challenges to nonlinear model predictive control (NMPC). The large-scale nature of PDEs often limits the use of standard nested black-box optimizers that require repeated forward simulations and expensive gradient computations. Hence, to ensure online solutions at relevant time-scales, large-scale NMPC algorithms typically require powerful, customized PDE-constrained optimization solvers. To this end, this paper proposes a new Lagrange-Newton-Krylov (LNK) method that targets the class of time-dependent nonlinear diffusion-reaction systems arising from chemical processes. The LNK solver combines a high order spectral Petrov-Galerkin (SPG) method with a new, parallel preconditioner tailored for the large-scale saddle-point systems that form subproblems of Sequential Quadratic Programming (SQP) methods. To establish proof-of-concept, a case study uses a simple parallel MATLAB implementation of the preconditioner with 10 cores. As a step towards real-time control, the results demonstrate that large-scale diffusion-reaction optimization problems with more than 106 unknowns can be solved efficiently in less than a minute. (C) 2018, IFAC (international Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Optimal control Model-based control Nonlinear control Partial differential equations Large-scale systems Iterative methods

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