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Neural-network-based intelligent control for improving dynamic performance of FACTS devices

Neural-network-based intelligent control for improving dynam...

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iREP Symposium on Bulk Power System Dynamics and Control

作者： Wei Qiao Ronald G. Harley Ganesh K. Venayagamoorthy Intelligent Power Infrastructure Consortium 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 Rolla MO USA

Flexible AC transmission system (FACTS) devices are widely recognized as powerful controllers to improve the dynamic performance and stability of power systems. The standard FACTS controllers are linear controllers designed around a specific operating point from a linearized system model with fixed parameters. However, at other operating points their performance degrades. Neural-network-based nonlinear intelligent control offers an attractive approach to overcome the drawbacks of the linear controllers. This paper presents two different neural-network-based intelligent control architectures, i.e., indirect adaptive neurocontrol and adaptive critic design based optimal neurocontrol, for designing the external control of an SSSC FACTS device. Simulation studies are carried out to evaluate the proposed nonlinear intelligent controllers on single machine infinite bus as well as multi-machine power systems. Results show that the proposed intelligent controls improve the dynamic performance of the SSSC and the associated power network.

关键词： Intelligent control Power system dynamics Flexible AC transmission systems Power system stability Power system modeling Programmable control Adaptive control Power system simulation Control systems Nonlinear dynamical systems

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Management of an intelligent argumentation network for a web-based collaborative engineering design environment

Management of an intelligent argumentation network for a web...

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International Symposium on Collaborative Technologies and Systems

作者： Xiaoqing Liu Man Zheng Ganesh K. Venayagamoorthy Ming Leu Department of Computer Science University of Missouri Rolla Rolla MO USA Real-Time Power and Intelligent Systems Laboratory Department of Electrical & Computer Engineering University of Missouri Rolla Rolla MO USA Department of Mechanical and Aerospace Engineering University of Missouri Rolla Rolla MO USA

ISBN: (纸本)9781424433896;0978569911

Conflict resolution is one of the most challenging tasks in collaborative engineering design. In our previous research, a web-based intelligent collaborative system was developed to address this challenge based on intelligent computational argumentation. However, two important issues were not resolved in that system: priority of participants and self-conflicting arguments. In this paper, we develop two methods for incorporating priorities of participants into the computational argumentation network: 1) weighted summation and 2) re-assessment of strengths of arguments based on priority of owners of the argument using fuzzy logic inference. In addition, we develop a method for detection of self-conflicting arguments. Incorporation of priority of participants and detection of self-conflicting arguments have strengthen the capability of managing intelligent argumentation network for the web-based collaborative engineering design system developed in our previous research.

关键词： Collaboration Artificial intelligence Fuzzy sets Engines Input variables Robustness USA Councils

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DHP-Based Wide-Area Coordinating Control of a Power System with a Large Wind Farm and Multiple FACTS Devices

DHP-Based Wide-Area Coordinating Control of a Power System w...

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International Joint Conference on Neural Networks (IJCNN)

作者： Wei Qiao Ganesh K. Venayagamoorthy Ronald 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 in the Department of Electrical and Computer Engineering University of Missouri Rolla Rolla MO USA

Wide-area coordinating control is becoming an important issue and a challenging problem in the power industry. This paper proposes a novel optimal wide-area monitor and wide-area coordinating neurocontroller (WACNC), based on wide-area measurements, for a power system with power system stabilizers, a large wind farm, and multiple flexible ac transmission system (FACTS) devices. The wide-area monitor is a radial basis function neural network (RBFNN) that identifies the input-output dynamics of the nonlinear power system. Its parameters are optimized through a particle swarm optimization (PSO) based method. The WACNC is designed by using the dual heuristic programming (DHP) method and RBFNNs. It operates at a global level to coordinate the actions of local power system controllers. Each local controller communicates with the WACNC, receives remote control signals from the WACNC to enhance its dynamic performance, and therefore helps improve system-wide dynamic and transient performance.

关键词： Power system control Control systems Power systems Wind farms Power system dynamics Power system measurements Monitoring Flexible AC transmission systems Power system transients Power industry

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Self-Healing Control with Multifunctional Gate Drive Circuits for Power Converters

Self-Healing Control with Multifunctional Gate Drive Circuit...

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

作者： Peng Xiao Ganesh K. Venayagamoorthy Keith A. Corzine Robert Woodley Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla USA 21st Century Systems Inc. Fort Leonard Wood MO USA

Many commercial and military transport systems have fault diagnostic functions implemented to help protect the device when a severe fault occurs. However, most present systems do not contain prognostics capability which would allow operators to observe an unhealthy system component in its pre- fault condition. In industry applications, scheduled downtime can result in considerable cost avoidance. The next technology step is self-healing system components which observe not only potential problems, but can also take steps to continue operation under abnormal conditions - whether due to long-term normal wear-and-tear or sudden combat damage. In this paper, current and voltage information using the double-layer gate drive concept is fed to intelligent networks to identify the type of fault and its location. These intelligent networks are based on unsupervised and supervised learning networks (self-organizing maps and learning vector quantization networks respectively). The proposed concept allows the reconfiguration of the electric machinery system for continued normal operation of the machine. This paper presents an intelligent health monitoring and self-healing control strategy for a multi-phase multilevel motor drive under various types of faults.

关键词： Circuit faults Intelligent networks Power system protection Industry applications Job shop scheduling Costs Voltage Fault diagnosis Supervised learning Self organizing feature maps

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Differential Evolution Approach for Reactive Power Optimization of Nigerian Grid System

Differential Evolution Approach for Reactive Power Optimizat...

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IEEE General Meeting Power& Energy Society

作者： G. A. Bakare G. Krost G. K. Venayagamoorthy U. O. Aliyu Abubakar Tafawa Balewa University Bauchi Nigeria Electrical Power Systems Institute University of Duisburg-Essen Duisburg Germany Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA

The goal of reactive power dispatch is to minimize the system losses and improve the system voltage profiles at all times. This is achieved by adjusting various generating units' excitation systems continuously, discrete tap positions of on-load tap changers of transformers as well as switching of correct doses of inductors or capacitors. This is a mixed integer non-linear optimization problem. In this paper, the differential evolution (DE), a novel evolutionary computation technique which was originally designed for continuous problems is applied to solve this problem. DE appears to ally qualities of established computational intelligence (CI) techniques with a more striking computational performance, thus suggesting the possibility of having the potential for on line applications in the control center; comparison work with other techniques is presently conducted. The developed tool was demonstrated on the Nigerian power system grid for three case scenarios preset on the power world simulator which was linked with DE for power flow calculation (fitness check of solutions). The results achieved revealed that DE procured a significant reduction of real power losses while simultaneously keeping the voltage profiles within the acceptable limits.

关键词： Reactive power Power system simulation On load tap changers Transformers Inductors Capacitors Evolutionary computation Computational intelligence Computational modeling Load flow

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Intelligent Local and Hierarchical Control of FACTS Devices

Intelligent Local and Hierarchical Control of FACTS Devices

引用

2007 IEEE Power engineering Society Conference and Exposition in Africa (IEEE PES PowerAfrica 2007), part 1

作者： Salman Mohagheghi Ganesh K. Venayagamoorthy Ronald G. Harley Intelligent Power Infrastructure Consortium 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 Department of Electrical and Computer Engineering University of Missouri-Rolla MO USA Emeritus University of Kwazulu-Natal South Africa

This paper presents an overview of the applications of intelligent control techniques on local and hierarchical control of FACTS devices. These control techniques are superior to the conventional linear/nonlinear control schemes in the sense that they are independent of any mathematical model of the power system to be controlled. In addition, they do not depend on the operating conditions and the configuration of the system to which the FACTS device is connected. A Static Compensator (STATCOM) is used as the example in order to compare the performances of the proposed intelligent controllers with those of their linear counterparts. Nevertheless, the ideas put forth in this paper are applicable to other shunt or series FACTS devices as well. Two different control schemes are evaluated: a fuzzy logic based local controller and a neuro-fuzzy hierarchical controller for a STATCOM in a multimachine power system.

关键词： Nonlinear control systems Control systems Power system control Power systems Automatic voltage control Intelligent control Mathematical model Power system modeling Control system synthesis STATCOM

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Dynamic Modeling of Wind Farms with Fixed-Speed Wind Turbine Generators

Dynamic Modeling of Wind Farms with Fixed-Speed Wind Turbine...

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2007 IEEE Power engineering Society General Meeting (PES 2007), vol.10

作者： Wei Qiao Ronald G. Harley Ganesh K. Venayagamoorthy Intelligent Power Infrastructure Consortium (IPIC) School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA University of KwaZulu-Natal Durban South Africa Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla Rolla MO USA

A wind farm typically consists of a large number of individual wind turbine generators (WTGs) connected by an internal electrical network. To study the impact of wind farms on the dynamics of the power system, an important issue is to develop appropriate wind farm models to represent the dynamics of many individual WTGs. This paper presents various dynamic models, including a detailed model and three reduced-order equivalent models, of wind farms with fixed-speed WTGs. These models are developed and compared by simulation studies in the PSCAD/EMTDC environment under different wind velocity and fluctuation conditions as well as gird fault conditions. Concluding remarks are provided on how to choose an appropriate wind farm model for power system dynamic and transient studies.

关键词： Detailed model Equivalent model Fixed-speed wind turbine Squirrel-cage induction generator Wind farm

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ParalleX: A Study of A New Parallel Computation Model

ParalleX: A Study of A New Parallel Computation Model

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Guang R. Gao Thomas Sterling Rick Stevens Mark Hereld Weirong Zhu Department of Electrical and Computer Engineering University of Delaware USA Center for Advanced Computing Research California Institute of Technology USA Department of Computer Science Louisiana State University USA Mathematics and Computer Science Division Argonne National Laboratory USA

This paper proposes the study of a new computation model that attempts to address the underlying sources of performance degradation (e.g. latency, overhead, and starvation) and the difficulties of programmer productivity (e.g. explicit locality management and scheduling, performance tuning, fragmented memory, and synchronous global barriers) to dramatically enhance the broad effectiveness of parallel processing for high end computing. In this paper, we present the progress of our research on a parallel programming and execution model - mainly, ParalleX. We describe the functional elements of ParalleX, one such model being explored as part of this project. We also report our progress on the development and study of a subset of ParalleX $the LITL-X at University of Delaware. We then present a novel architecture model - Gilgamesh II - as a ParalleX processing architecture. A design point study of Gilgamesh II and the architecture concept strategy are presented.

关键词： Concurrent computing Computational modeling High performance computing Degradation Delay Programming profession Productivity Processor scheduling Memory management Parallel processing

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Efficient XML-Based Grid Middleware Design for Multi-Core Processors

Efficient XML-Based Grid Middleware Design for Multi-Core Pr...

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IEEE International Conference on Web Services (ICWS)

作者： Rajdeep Bhowmik Chaitali Gupta Madhusudhan Govindaraju Aneesh Aggarwal Department of Electrical and Computer Engineering State University of New york Binghamton NY USA Grid Computing Research Laboratory Department of Computer Science State University of New york Binghamton NY USA

Chip multi-processors (CMPs), commonly referred to as multi-core processors, are being widely adopted for deployment as part of the grid infrastructure. In CMPs, multiple cores can independently execute different threads. This change in computer architecture requires corresponding design modifications in programming paradigms, including grid middleware tools, to harness the opportunities presented by multi- core processors. Simple and naive implementations of grid middleware on multi-core systems can severely impact performance. The goal of developing an optimized multi-threaded grid middleware for emerging multi-core processors will be realized only if researchers and developers have access to an in-depth analysis of the impact of several low level microarchitectural parameters on performance. None of the current grid simulators and emulators provides feedback at the micro-architectural level. We have designed an emulation framework, Multi-core Grid (McGrid), to analyze and provide insightful feedback on the performance limitations, bottlenecks, and optimization opportunities for grid middleware on multi-core systems.

关键词： Middleware Process design Multicore processing Performance analysis Feedback Yarn computer architecture Microarchitecture Emulation Design optimization

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Flatness-Based Feedback Linearization of A Synchronous Machine Model With Static Excitation And Fast Turbine Valving

Flatness-Based Feedback Linearization of A Synchronous Machi...

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IEEE General Meeting Power& Energy Society

作者： E.C. Anene U.O. Aliyu J. Levine G. K. Venayagamoorthy Abubakar Tafawa Balewa University Bauchi Nigeria Ecole des Mines de Paris Centre Automatique et Systémes Fontainebleau France Real-Time and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA

This paper focuses attention on the concept of flatness-based feedback linearization and its practical application to the design of an optimal transient controller for a synchronous machine. The feedback linearization scheme of interest requires the generation of a flat output from which the feedback control law can easily be designed. Thus the computation of the flat output for reduced order model of the synchronous machine with simplified turbine dynamics is hereby presented. The corresponding linearized compensator is derived as well as the nonlinear controller for transient stabilization of a synchronous machine subjected to large disturbances. The transient behavior of a single machine equipped with the so designed nonlinear controllers feeding an infinite bus is illustrated via simulation in Matlab environment. The results obtained for transient disturbances on the single machine infinite bus system (SMIBS) are presented and compared with other control algorithms to demonstrate the effectiveness of the proposed scheme.

关键词： Feedback Synchronous machines Turbines Power system transients Control systems Power system modeling Power system control Neurofeedback Stability Computational modeling

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