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Particle Swarm Optimization based Defensive Islanding of Large Scale Power System

Particle Swarm Optimization based Defensive Islanding of Lar...

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International Joint Conference on Neural Networks (IJCNN)

作者： Wenxin Liu D.A. Cartes G.K. Venayagamoorthy Center of Advanced Power Systems (CAPS) Florida State University Tallahassee USA Real-Time Power and Intelligent Systems Laboratory the Department of Electrical and Computer Engineering University of Missouri MO USA

Defensive islanding is an efficient way to avoid catastrophic failures and wide area blackouts. Power system splitting especially for large scale power systems is a combinatorial explosion problem. Thus, it is very difficult to find an optimal solution (if one exists) for large scale power system in real time. This paper proposes to utilize the computational efficiency property of binary particle swarm optimization (BPSO) to find some efficient splitting solutions in limited timeframe. The solutions are optimized based on a cost function considering the balance between real power generation and consumption, the relative importance of customers, the capacities of distribution and transmission systems, and possibility of region to be impacted, etc. The solutions not only provide the lines to cut but also the corresponding load shedding information in each island. Simulations with large scale power system demonstrate the effectiveness of the proposed algorithm.

关键词： Particle swarm optimization Large-scale systems Power systems Power system stability Power system protection Power system dynamics Cost function Power system simulation real time systems Power system faults

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Recurrent Neural Network Based Predictions of Elephant Migration in a South African Game Reserve

Recurrent Neural Network Based Predictions of Elephant Migra...

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International Joint Conference on Neural Networks (IJCNN)

作者： P. Palangpour G.K. Venayagamoorthy K. Duffy Real-Time Power and Intelligent Systems (RTPIS) Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA Centre for Systems Research Durban Institute of Technology Durban South Africa

A large portion of South Africa's elephant population can be found on small wildlife reserves. When confined to enclosed reserves the elephant densities are much higher than observed in the wild. The large nutritional demands and destructive foraging behavior of elephants threaten rare species of vegetation. If conservation management is to protect threatened species of vegetation, knowing how long elephants will stay in one area of the reserve as well as which area they will move to next is essential. The goal of this study is to train a recurrent neural network (RNN) to continuously predict an elephant herd's next position in the Pongola Game Reserve. Accurate predictions would provide a useful tool in assessing future impact of elephant populations on different areas of the reserve. The particle swarm optimization (PSO) algorithm is used to adapt the weights of the neural network. Results are presented to show the effectiveness of RNN-PSO for elephant migration prediction.

关键词： Recurrent neural networks Intelligent networks Vegetation Neural networks Africa Wildlife Particle swarm optimization Power system management Predictive models Protection

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Synchronous Reference Frame Based Active Filter Current Reference Generation Using Neural Networks

Synchronous Reference Frame Based Active Filter Current Refe...

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Annual Conference of Industrial Electronics Society

作者： Joy Mazumdar Ronald G Harley Ganesh K. Venayagamoorthy School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Real-Time Power and Intelligent Systems Laboratory University of Missouri Rolla Rolla MO USA

The increased use of nonlinear devices in industry has resulted in direct increase of harmonic distortion in the industrial power system in recent years. The significant harmonics are almost always 5th, 7th, 11th and the 13th with the 5th harmonic being the largest in most instances. Active filter systems have been proposed to mitigate harmonic currents of the industrial loads. The most important requirement for any active filter is the precise detection of the individual harmonic component's amplitude and phase. Fourier transform based techniques provide an excellent method for individual harmonic isolation, but it requires a minimum of two cycles of data for the analysis, does not perform well in the presence of subharmonics which are not integral multiples of the fundamental frequency and most importantly introduces phase shifts. To overcome these difficulties, this paper proposes a multilayer perceptron neural network trained with back-propagation training algorithm to identify the harmonic characteristics of the nonlinear load. The operation principle of the synchronous-reference-frame-based harmonic isolation is discussed. This proposed method is applied to a thyristor controlled DC drive to obtain the accurate amplitude and phase of the dominant harmonics. This technique can be integrated with any active filter control algorithm for reference generation

关键词： Active filters Synchronous generators Neural networks Power system harmonics Power harmonic filters Harmonic distortion Industrial power systems Phase detection Fourier transforms Data analysis

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COMMA: A Communications Methodology for Dynamic Module Reconfiguration in FPGAs

COMMA: A Communications Methodology for Dynamic Module Recon...

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Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM)

作者： Shannon Koh Oliver Diessel School of Computer Science & Engineering University of New South Wales Sydney Australia Embedded Real Time and Operation Systems Program National ICT Australia NICTA Sydney Australia

On-going improvements in the scaling of FPGA device sizes and time-to-market pressures encourage the use of module-oriented design flows [3], while economic factors favour the reuse of smaller devices for high performance computational tasks. One of the core problems in proposing dynamic modular reconfiguration approaches is supporting the differing communications needs of the sequence of modules configured over time [2]. Proposals to date have not focussed on communications issues. Moreover, they have advocated the use of specific protocols [4], or they cannot be readily implemented [1], or they suffer from high overheads [5], or rely upon deprecated features such as tri-state lines [7]. In contrast, we propose a methodology for the rapid deployment of a communications infrastructure that provides the wires required by dynamic modules and allows users to implement the protocols they want. Our aim is to support new tiled dynamically reconfigurable architectures such as Virtex-4, as well as mature device families.

关键词： Field programmable gate arrays Pins Wiring Australia Protocols computer science Design engineering real time systems Operating systems time to market

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Hierarchical Control Scheme for two Static Compensators in the Brazilian 45-Bus Power System

Hierarchical Control Scheme for two Static Compensators in t...

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IEEE PES Power systems Conference and Exposition, PSCE

作者： S. Mohagheghi Y. Del Valle G.K. Venayagamoorthy R.G. Harley Intelligent Power Infrastructure Consortium IPIC School of Electrical and computer Engineering Georgia Institute of Technology Atlanta GA USA Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA

This paper presents a conventional external scheme for controlling two neighboring static compensators (STATCOMs) from a supervisory level. The two STATCOMs are connected to two buses of a load area in a multimachine power system. The power network analyzed in this paper is a 45-bus 10-generator section of the Brazilian power system. Regulating the voltages at the points of connection to the power system is considered to be the primary objective of the local controllers of the two STATCOMs in this study. Based on the deviations of the voltages with respect to their corresponding reference values, the hierarchical control generates the appropriate signals in the form of the auxiliary reference signals for the line voltage control loops in the two devices. Simulation results are provided to show the proposed external controller improves the performance of the power system during small and large scale disturbances

关键词： Control systems STATCOM Power system control Power systems Power system analysis computing Automatic voltage control Voltage control Power system simulation Signal generators Large-scale systems

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Power System Control with an Embedded Neural Network in Hybrid System Modeling

Power System Control with an Embedded Neural Network in Hybr...

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Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： Seung-mook Baek Jung-wook Park Ganesh K. Venayagamoorthy Power IT and System Laboratory School of Electrical and Electronic Engineering YONSEI University Seoul South Korea Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA

The output limits of the power system stabilizer (PSS) can improve the system damping performance immediately following a large disturbance. Due to non-smooth nonlinearities from the saturation limits, these values cannot be determined by the conventional tuning methods based on linear analysis. Only ad hoc tuning procedures can be used. A feedforward neural network (FFNN) (with a structure of multilayer perceptron neural network) is applied to identify the dynamics of an objective function formed by the states, and thereafter to compute the gradients required in the nonlinear parameter optimization. Moreover, its derivative information is used to replace that obtained from the trajectory sensitivities based on the hybrid system model with the differential-algebraic-impulsive-switched (DAIS) structure. The optimal output limits of the PSS tuned by the proposed method are evaluated by time-domain simulation in both a single machine infinite bus system (SMIB) and a multi-machine power system (MMPS)

关键词： Power system control Neural networks Hybrid power systems Power system modeling Multi-layer neural network Feedforward neural networks Power system simulation Power system analysis computing Damping Multilayer perceptrons

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Bacteria Foraging: A New Tool for Simultaneous Robust Design of UPFC Controllers

Bacteria Foraging: A New Tool for Simultaneous Robust Design...

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International Joint Conference on Neural Networks (IJCNN)

作者： M. Tripathy S. Mishra G.K. Venayagamoorthy University College of Engineering Burla Orissa India Department of Electrical Engineering Indian Institute of Technology New Delhi India Department of Electrical and Computer Engineering Real-Time Power and Intelligent Systems Laboratory University of Missouri MO USA

Robust tuning of lead-lag type controller used for regulating FACTS control signal to improve dynamic stability has been an area of interest in research. This paper presents a new approach based on the foraging behavior of *** Bacteria in the human intestine, to optimize simultaneously three constants each of four lead-lag type UPFC controller present in a single machine infinite bus (SMIB) power system. For the tuning purpose, a multi-objective cost function is formulated that accounts for damping factors and ratios of various system modes for a wide range of operating conditions. Robustness of the proposed tuning method is shown by transient stability analysis of the system time domain simulations when subjected to disturbances at different operating conditions.

关键词： Microorganisms Robust control Robust stability Power system dynamics Power system stability Power system simulation Power system transients Humans Intestines Control systems

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Simulation model for assessing transient performance of capacitive voltage transformers

Simulation model for assessing transient performance of capa...

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IEEE General Meeting Power& Energy Society

作者： I. Sule U.O. Aliyu G.K. Venayagamoorthy Electrical and Electronics Engineering Department Federal Polytechnic Mubi Nigeria Electrical Engineering Programme Abubakar Tafawa Balewa University Bauchi Nigeria Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri MO USA

In determining the correct operation of relays of a protection scheme, proper representation of instrument transformers and their behavior in conditions where there can be transient is very critical. This paper presents a simulation model for assessing the transient performance of capacitive voltage transformers (CVTs). In order to test the validity of the developed model, four CVT operational conditions are considered using field data collected from one of the Nigerian electric utility 330/132/33 kV substations. The model simulation results revealed various configuration performance responses that could affect relay protection schemes to different degrees. As expected, the CVT responses showed that faults initiated at zero voltage crossing, which is the worst transient condition, produced transient voltage magnitude up to 40% of the nominal voltage while faults initiated at the crest produced minimum transient voltage magnitude. It is shown that the model developed for the selected instrument transformer yielded satisfactory results

关键词： Voltage transformers Mathematical model Power system transients Instrument transformers Power system protection Protective relaying Power system relaying Power system reliability Substations MATLAB

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The robot software communications architecture (RSCA): embedded middleware for networked service robots 06

The robot software communications architecture (RSCA): embed...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Seongsoo Hong Jaesoo Lee Hyeonsang Eom Gwangil Jeon Real-Time Operation Systems Laboratory School of Electrical Engineering and Computer Science Seoul National University of Technology Seoul South Korea Distributed Information Processing Laboratory School of Computer Science and Computer Engineering Seoul National University of Technology Seoul South Korea Department of Computer Engineering Korea Polytechnic University Siheung Gyeonggi South Korea

ISBN: (纸本)9781424400546

In this paper, we present a robot middleware technology named robot software communications architecture (RSCA) for its use in networked home service robots. The RSCA provides a standard operating environment for the robot applications together with a framework that expedites the development of such applications. The operating environment is comprised of a real-time operating system, a communication middleware, and a deployment middleware. Particularly, the deployment middleware supports the reconfiguration of component-based robot applications including installation, creation, start, stop, tear-down, and un-installation. In designing RSCA, we have adopted a middleware called SCA from the software defined radio domain and extend it since the original SCA lacks the real-time guarantees and appropriate event services. We have fully implemented RSCA and performed measurements to quantify its run-time performance. Our implementation clearly shows the viability of RSCA

关键词： Embedded software computer architecture Middleware Service robots Application software Standards development real time systems Operating systems Software radio Performance evaluation

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An Interval Type-II Robust Fuzzy Logic Controller for a Static Compensator in a Multimachine Power System

An Interval Type-II Robust Fuzzy Logic Controller for a Stat...

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International Joint Conference on Neural Networks (IJCNN)

作者： S. Mohagheghi G.K. Venayagamoorthy R.G. Harley Intelligent Power Infrastructure Consortium (IPIC) in the School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri MO USA University of KwaZulu-Natal South Africa

This paper presents a novel fuzzy logic based controller for a Static Compensator (STATCOM) connected to a power system. Type-II fuzzy systems are selected that enable the controller to deal with design uncertainties and the noise associated with the measurements in the power system. Interval type-II fuzzy is computationally more effective than the ordinary type-II fuzzy systems and is more suitable for the power network with fast changing dynamics. Using a proportional-integrator approach the proposed controller is capable of dealing with actual rather than deviation signals. The STATCOM is connected to a multimachine power system in order to provide extra voltage support and improve the system dynamic performance. Simulation results are provided to show that the proposed controller outperforms a conventional PI controller during large scale faults as well as small disturbances. The type-II fuzzy membership functions provide a robust performance for the controller and eliminate the need for a model based adaptive control scheme.

关键词： Robust control Fuzzy logic Control systems STATCOM Power systems Power system dynamics Power system measurements Fuzzy systems Automatic voltage control Power system simulation

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