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IEEE Symposium Series on Computational Intelligence

作者： Mehdi Rahmani-andebili Ganesh K. Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory The Holcombe Department of Electrical and Computer Engineering Clemson University

ISBN: (纸本)9781479975617

Environmental issues of thermal power plants and depletion of natural energy resources are the main motivations for applying renewable energy sources (RESs) in power systems. Therefore, it is important to consider RESs when performing combined economic and emission dispatch (CEED). In this study, the variability and uncertainties concerned with RESs and load demand are addressed with batteries installed in the power system as energy storage systems and stochastic optimization applied to solve the problem. A case study is presented to demonstrate the economic and environmental benefits achieved as a result.

关键词： Renewable energy power systems Dispatching Thermoelectric Power Plants Environmental issues Stochastic Environmental services Natural energy Batteries emission Emissions Energy storage systems energy storage

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Investigating Effects of Changes in Power Market Regulations on Demand-Side Resources Aggregators

Investigating Effects of Changes in Power Market Regulations...

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IEEE Power and Energy Society General Meeting

作者： Mehdi Rahmani-andebili Ganesh K. Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory The Holcombe Department of Electrical and Computer Engineering Clemson University

ISBN: (纸本)9781467380416

A significant role of power market regulator is increasing market efficiency by considering constraints of power system. Thus, a power market regulator implements several regulations to achieve this target. However, the changes in regulations may have undesirable effects on some emerging market players. In this study, effects of changes in spinning reserve market regulations on behavior of demand-side resources aggregators such as responsive loads aggregator and plug-in electric vehicles aggregator are investigated. In this study, a hybrid method based on multi-agents and dynamic game theory considering supply function equilibrium model for bidding strategy is proposed to simulate behavior of the market players from regulator's point of view. The results demonstrate that smart aggregators can convert threats to opportunities and enhance their own profit, their customers' income and even the market efficiency.

关键词： Dynamic game theory Market regulations Multi-agents Plug-in electric vehicles (PEVs) aggregator Responsive loads aggregator power markets Regulators undesirable effects market regulations Players power systems

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Voltage Stability Index for Online Voltage Stability Assessment

Voltage Stability Index for Online Voltage Stability Assessm...

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North American Power Symposium

作者： Rabindra Maharjan Sukumar Kamalasadan Power Energy and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of North Carolina-Charlotte

ISBN: (纸本)9781467373906

This paper proposes a voltage stability index to predict voltage collapse in power system. The index is based on maximum loading capability of the bus combined with a thevenin equivalent method for the aggregated representation. The technique is applied to transmission test system. Using thevenin equivalent calculated by fast load flow or PMU data, the index can be used for online voltage analysis. Comparison of the index with techniques used in previous literatures are presented. New England 39 bus and IEEE 118 bus test system are used to analyse the effectiveness of the method.

关键词： Online voltage stability Maximum loading capability Voltage stability index Thevenin equivalent

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An Architecture for Voltage Stability Constrained Optimal Power Flow Using Convex Semi-definite Programming

An Architecture for Voltage Stability Constrained Optimal Po...

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North American Power Symposium

作者： Seyedmahdi Moghadasi Sukumar Kamalasadan Power Energy and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of North Carolina at Charlotte

ISBN: (纸本)9781467373906

In this paper, a new voltage stability constrained optimal power flow (VSC-OPF) architecture is developed using semi-definite programming (SDP) which optimally calculate the loading margin and the cost of increasing stability margins. The main advantages of the proposed method are: a) it incorporates voltage stability constraints in a convex OPF formulation, b) always finds the optimal solution in comparison with probable local optimum solutions while using other non-convex methods, and c) evaluates the cost of increasing the loading margin using convex relaxation. The effectiveness of this method is evaluated using IEEE 14-bus and IEEE 57-bus test systems, considering various network constraints. The results show the effectiveness of proposed convex formulation to find the optimal operating schedule and critical loading point. The effect of incorporating voltage stability margin on the operating cost is also examined using different convex VSC-OPF formulations.

关键词： OPF Convex Relaxation Voltage Stability Constrained Optimal Power Flow (VSC-OPF) Loading Margin Semidefinite Programming (SDP)

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Scalable cellular computational network based WLS state estimator for power systems

Scalable cellular computational network based WLS state esti...

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Clemson University Power systems Conference (PSC)

作者： Ashfaqur Rahman Ganesh Kumar Venayagamoorthy Department of Electrical and Computer Engineering Real Time Power and Intelligent Systems Laboratory Clemson University Clemson SC USA

Modern interconnected electric power systems are made up of a large number of buses to meet the demand of electricity across large geographical distances. The large number of buses and interconnections across multiple areas result in a complex network and cause an increase in computational requirements on the processor. In order to meet the requirements of this increased complexity for state estimation, distributed estimation is getting attention nowadays. A new approach based on Cellular Computational Network (CCN) for static state estimation is proposed to overcome the computational demand of large power networks in general. The CCN architecture requires a cell at every bus where the states need to be estimated. A cell uses locally available information to estimate voltage magnitude and angle of its bus. The cells exploit output information of other cells in some electrical proximity prior to computing the outputs for next time step. Beside the promise of scalability of the CCN architecture, a fully observable system for state estimation and other applications can be realized. As the traditional estimators take all the measurements at a time and executes the estimation, missing some of the measurements may cause it to loose observability. In this paper, CCN based architecture is implemented with the popular Weighted Least Square (WLS) estimator on nonlinear power flow equations to estimate off-line data. Through simulation, the scalability and observability of the CCN based framework is investigated.

关键词： computer architecture Estimation Microprocessors Voltage measurement Time measurement Power systems Transmission line measurements

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Side channel analysis of multiple PMU data in electric power systems

Side channel analysis of multiple PMU data in electric power...

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Clemson University Power systems Conference (PSC)

作者： Xingsi Zhong Afshin Ahmadi Richard Brooks Ganesh Kumar Venayagamoorthy Lu Yu Yu Fu Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University Clemson SC USA

The deployment of Phasor Measurement Units (PMUs) in an electric power grid will enhance real-time monitoring and analysis of grid operations. The PMU collects bus voltage phasors, branch current phasors, and bus frequency measurements and uses a communication network to transmit the measurements to the respective substation(s)/control center(s). PMU information is sensitive, since missing or incorrect PMU data could lead to grid failure and/or damage. It is important to use encrypted communicate channels to avoid cyber attacks. In this study, a side-channel attack using inter-packet delays to isolate the stream of packets of one PMU from an encrypted tunnel is shown. Also, encryption in power system VPNs and vulnerabilities due to side channel analysis is discussed.

关键词： Phasor measurement units Hidden Markov models Cryptography Delays Logic gates

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Cyber security in smart DC microgrid operations

Cyber security in smart DC microgrid operations

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IEEE International Conference on DC Microgrids (ICDCM)

作者： Xingsi Zhong Lu Yu Richard Brooks Ganesh Kumar Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory The Holcombe Department of Electrical and Computer Engineering Clemson University Clemson SC USA

Microgrids are low voltage electric distribution grids with modular distributed energy sources and controllable loads. The DC microgrids avoid DC to AC and AC to DC conversion and minimize transmission and distribution losses. Dynamic energy management systems enhance utilization of renewable energy sources and ensure uninterrupted supply of power to critical loads. Like the traditional transmission and distribution grid, AC and DC microgrids are vulnerable to cyber attacks. Further research is required on the cyber security to leverage the promises and potentials of DC microgrids. This paper discusses security vulnerabilities and some solutions for DC microgrids.

关键词： Microgrids computer crime Protocols Sensors Timing Generators

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[email protected] : Analysis and results of evolving competitions for domestic and service robots

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Artificial Intelligence 2015年 229卷 258-281页

作者： Luca Iocchi Dirk Holz Javier Ruiz-del-Solar Komei Sugiura Tijn van der Zant Department of Computer Control and Management Engineering Sapienza University of Rome Italy Autonomous Intelligent Systems Group University of Bonn Germany Department of Electrical Engineering & Advanced Mining Technology Center Universidad de Chile Chile Information Services Platform Laboratory National Institute of Information and Communications Technology Japan Cognitive Robotics Laboratory University of Groningen The Netherlands

Scientific competitions are becoming more common in many research areas of artificial intelligence and robotics, since they provide a shared testbed for comparing different solutions and enable the exchange of research results. Moreover, they are interesting for general audiences and industries. Currently, many major research areas in artificial intelligence and robotics are organizing multiple-year competitions that are typically associated with scientific conferences. One important aspect of such competitions is that they are organized for many years. This introduces a temporal evolution that is interesting to analyze. However, the problem of evaluating a competition over many years remains unaddressed. We believe that this issue is critical to properly fuel changes over the years and measure the results of these decisions. Therefore, this article focuses on the analysis and the results of evolving competitions. In this article, we present the [email protected] competition, which is the largest worldwide competition for domestic service robots, and evaluate its progress over the past seven years. We show how the definition of a proper scoring system allows for desired functionalities to be related to tasks and how the resulting analysis fuels subsequent changes to achieve general and robust solutions implemented by the teams. Our results show not only the steadily increasing complexity of the tasks that [email protected] robots can solve but also the increased performance for all of the functionalities addressed in the competition. We believe that the methodology used in [email protected] for evaluating competition advances and for stimulating changes can be applied and extended to other robotic competitions as well as to multi-year research projects involving Artificial Intelligence and robotics.

关键词： Robotic competitions Artificial intelligence and robotics Benchmarking

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An unsupervised methodology for the detection of epileptic seizures in long-term EEG signals 15

An unsupervised methodology for the detection of epileptic s...

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15th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2015

作者： Tsiouris, Kostas M. Konitsiotis, Spiros Markoula, Sofia Koutsouris, Dimitrios D. Sakellarios, Antonis I. Fotiadis, Dimitrios I. Biomedical Engineering Laboratory School of Electrical and Computer Engineering National Technical University of Athens AthensGR15773 Greece Department of Neurology Medical School University of Ioannina IoanninaGR45110 Greece University Hospital of Ioannina IoanninaGR45110 Greece Institute of Communication and Computer Systems AthensGR10682 Greece Unit of Medical Technology and Intelligent Information Systems Department of Materials Science and Engineering FORTH-IMBB University of Ioannina IoanninaGR 45110 Greece

ISBN: (纸本)9781467379830

An unsupervised methodology for the detection of Epileptic seizures in EEG recordings is proposed. The time-frequency content of the EEG signals is extracted using the Short Time Fourier Transform. The analysis focuses on the EEG energy distribution among the well-established delta, theta and alpha rhythms (2-13 Hz), as energy variations in these frequency bands are widely associated with seizure activity. Relying on seizure rhythmicity, the classification is performed by isolating the segments where each rhythm is more clearly and dominantly expressed over the others. For the first time, an unsupervised methodology is evaluated using more than 978 hours of EEG recordings from a public database. The results show that the proposed methodology achieves high seizure detection sensitivity with significantly reduced human intervention. © 2015 IEEE.

关键词： Neurophysiology

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On Finite-Horizon Optimal Control of First-Order Plus Time Delay systems

On Finite-Horizon Optimal Control of First-Order Plus Time D...

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第27届中国控制与决策会议

作者： Dawei Shi Tongwen Chen State Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology Department of Electrical and Computer Engineering University of Alberta

In this work,a finite-horizon optimal control problem for first-order plus time delay(FOPTD) processes is *** show that if the control horizon is greater than three and the prediction horizon is great than the control horizon plus the time delay in discrete time,the optimal controller is not affected by either of the two ***,under these conditions,the controller parameters are explicitly calculated,the closed-loop system is shown to be stable,and the controller is *** problem considered is related to the results on linear quadratic regulation of linear systems with time delays;however,the detailed parameterization of the state-space model introduced by the FOPTD process provides an additional opportunity to investigate the exact controller structure and properties(e.g.,the locations of the closed-loop poles),which are also the major difficulties encountered and overcome in this *** problem is motivated from phenomena experienced in designing industrial model predictive control(MPC) tuning algorithms,and extensive numerical examples indicate that the proposed results speed up the MPC autotuning algorithms by 70%.

关键词： Optimal control First-order plus time delay process Performance visualization MPC tuning

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