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International CSI computer Conference, CSICC

作者： A. R. Koushki M. Nosrati Maralloo C. Lucas A. Kalhor Department of Computer Engineering Science and Research Branch Islamic Azad University Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran

One of the important requirements for operational planning of electrical utilities is the prediction of hourly load up to several days, known as short term load forecasting (STLF). Considering the effect of its accuracy on system security and also economical aspects, there is an on-going attention toward putting new approaches to the task. Recently, neuro fuzzy modeling has played a successful role in various applications over nonlinear time series prediction. This paper presents a neuro-fuzzy model for the application of short-term load forecasting. This model is identified through locally liner model tree (LoLiMoT) learning algorithm. The model is compared to a multilayer perceptron and Kohonen classification and intervention analysis. The models are trained and assessed on load data extracted from EUNITE network competition.

关键词： Predictive models Load forecasting Multilayer perceptrons Economic forecasting Power system modeling Power generation economics Fuel economy Artificial neural networks Power system economics Temperature

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Long term electrical load forecasting via a neurofuzzy model

Long term electrical load forecasting via a neurofuzzy model

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International CSI computer Conference, CSICC

作者： M. Nosrati Maralloo A. R. Koushki C. Lucas A. Kalhor Department of Computer Engineering Science and Research Branch Islamic Azad University Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran

Long-term forecasting of load demand is necessary for the correct operation of electric utilities. There is an on-going attention toward putting new approaches to the task. Recently, Neurofuzzy modeling has played a successful role in various applications over nonlinear time series prediction. This paper presents a neurofuzzy model for long-term load forecasting. This model is identified through Locally Linear Model Tree (LoLiMoT) learning algorithm. The model is compared to a multilayer perceptron and hierarchical hybrid neural model (HHNM). The models are trained and assessed on load data extracted from a North-American electric utility.

关键词： Load forecasting Predictive models Multilayer perceptrons Power industry Economic forecasting Multi-layer neural network Power system planning Power generation Neural networks Data mining

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Diagnostic models for sensor measurements in rocket engine tests

Diagnostic models for sensor measurements in rocket engine t...

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IEEE SENSORS

作者： Michael Russell George Lecakes Shreekanth Mandayam Scott Jensen Department of Electrical and Computer Engineering Rowan University Glassboro NJ USA Stennis Space Center NASA-SSC MS USA

This paper presents our ongoing work in the area of using virtual reality (VR) environments for the Integrated Systems Health Management (ISHM) of rocket engine test stands. Specifically, this paper focuses on the development of an intelligent valve model that integrates into the control center at nasa Stennis Space center. The intelligent valve model integrates diagnostic algorithms and 3D visualizations in order to diagnose and predict failures of a large linear actuator valve (LLAV). The diagnostic algorithm uses auto-associative neural networks to predict expected values of sensor data based on the current readings. The predicted values are compared with the actual values and drift is detected in order to predict failures before they occur. The data is then visualized in a VR environment using proven methods of graphical, measurement, and health visualization. The data is also integrated into the control software using an ActiveX plug-in.

关键词： Rockets Engines Intelligent sensors Virtual reality Intelligent actuators Valves Data visualization Environmental management System testing nasa

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Hybrid Ant System/Priority List Method for Unit Commitment Problem with Operating Constraints

Hybrid Ant System/Priority List Method for Unit Commitment P...

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IEEE International Conference on Industrial Technology (ICIT)

作者： K. Withironprasert S. Chusanapiputt D. Nualhong S. Jantarang S. Phoomvuthisarn Department of Electrical Power Engineering Faculty of Engineering Mahanakom University of Technology Bangkok Thailand Department of Computer Engineering and Satellite Research Center Faculty of Engineering Mahanakom University of Technology Bangkok Thailand Electrical Engineering Department Electrical and Control System Engineering Division Electricity Generating Authority of Thailand Bangkok Thailand Center of Excellence in Electrical Power Technology Chulalongkom University Bangkok Thailand

This paper presents a new method to solve unit commitment problem with operating constraints using a hybrid ant system/priority list method (HASP). The proposed methodology employs ant system in cooperating with the priority list method to find unit commitment solution as means of mutually combining the advantages of them in that a flexibility of the priority list method is reinforced, while AS algorithm can gain the benefit of using bias information for improving its performance during search process. The simulation results show that the proposed HASP is capable of obtaining satisfactory solution within reasonable computational time. Moreover, the proposed HASP can be extensively applied to handle the ramp rate limits and the operating reserve constraint, which are important for modern power system operation.

关键词： Transformers Load flow Admittance Mathematical model Power system modeling Medium voltage Mutual coupling Gaussian distribution Convergence Electronic mail

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H∞ filter design for discrete delay systems: a new parameter-dependent approach

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International Journal of control 2009年第6期82卷 993-1005页

作者： Gao, Huijun hjgao@*** Meng, Xiangyu Chen, Tongwen Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin Heilongjiang China Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada

This article revisits the problem of H∞ filtering for discrete-time systems with a time-varying delay in the state and parameter uncertainties residing in a polytope. By utilising the polynomially parameter-dependent idea, a new filter design procedure is proposed, which formulates the existence of admissible robust H∞ filters into a set of linear matrix inequalities. These conditions are developed based on homogeneous polynomially parameter-dependent matrices of an arbitrary degree. As the degree grows, test of increasing precision is obtained providing less conservative filter designs. It is established that the results in the quadratic framework (that entail fixed matrices for the entire uncertainty domain), and the linearly parameter-dependent framework (that use linear convex combinations of matrices) are special cases of the proposed conditions for the zeroth degree and the first degree, respectively. Moreover, in addition to parameter dependence, the obtained conditions are also dependent on both the upper and lower bounds of the delay, which is obtained by using advanced techniques for achieving delay dependence. Several numerical examples are given to illustrate the effectiveness and advantage of the proposed filter design methods. [ABSTRACT FROM AUTHOR]

关键词： discrete-time systems H∞ filtering H∞ filtering linear matrix inequality (LMI) robust filtering time-delay systems

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Impacts of Loop Restoration Strategy on distribution system reliability

Impacts of Loop Restoration Strategy on distribution system ...

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Power Tech Conference

作者： Shahram Kazemi Mahmud Fotuhi-Firuzabad Majid Sanaye-Pasand Matti Lehtonen Department of Electrical Engineering Helsinki University of Technology Espoo Finland Department of Electrical Engineering Sharif University of Technology Tehran Iran Center of Excellence in Power System Control and Management Department of Electrical Engineering Sharif University of Technology Tehran Iran School of Electrical and Computer Engineering University of Tehran Tehran Iran

Implementation of distribution automation (DA) in electric power distribution systems can result in customer satisfaction with improved reliability, consistent quality and high-tech services. Loop restoration strategy (LRS) is a special DA method in the feeder level which is used by electric utilities to improve distribution system reliability. The effects of the implemented LRS on the reliability indices of a given distribution system mainly depend on its automatic control system (ACS). Selecting the type of ACS of LRS by electric utilities relies on the level of improvement required at load points and system oriented reliability indices. A step by step evaluation procedure is proposed in this paper to quantitatively assess the impacts of two common types of ACS of LRS on reliability indices of a distribution reliability test system.

关键词： Circuit faults Frequency Power system reliability Power system restoration Automation Customer satisfaction Power industry Automatic control Fuses Protection

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$H_{\bm \infty}$ Fuzzy Filtering of Nonlinear Systems With Intermittent Measurements

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IEEE Transactions on Fuzzy Systems 2009年第2期17卷 291-300页

作者： Huijun Gao Yan Zhao James Lam Ke Chen Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin China Department of Mechanical Engineering University of Hong Kong Hong Kong China Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada

This paper is concerned with the problem of H infin fuzzy filtering of nonlinear systems with intermittent measurements. The nonlinear plant is represented by a Takagi-Sugeno (T-S) fuzzy model. The measurements transmission from the plant to the filter is assumed to be imperfect, and a stochastic variable satisfying the Bernoulli random binary distribution is utilized to model the phenomenon of the missing measurements. Attention is focused on the design of an H infin filter such that the filter error system is stochastically stable and preserves a guaranteed H infin performance. A basis-dependent Lyapunov function approach is developed to design the H infin filter. By introducing some slack matrix variables, the coupling between the Lyapunov matrix and the system matrices is eliminated, which greatly facilitates the filter-design procedure. The developed theoretical results are in the form of linear matrix inequalities (LMIs). Finally, an illustrative example is provided to show the effectiveness of the proposed approach.

关键词： Lyapunov method Filtering Linear matrix inequalities Space technology Filters Fuzzy systems Nonlinear systems Power system modeling Linear systems Educational programs

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Switching robustness analysis for switched linear systems

Switching robustness analysis for switched linear systems

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Asian control Conference

作者： Yuping Peng Zhendong Sun Shuzhi Sam Ge Department of Electrical and Computer Engineering National University of Singapore Singapore Center of Control and Optimization College of Automation Science and Engineering South China University of Technology Guangzhou China

This paper investigates the stability of switched linear systems with the perturbed switching. In premises of introducing the notions of common child-path and parent-path, we define distance between switching paths. A constructive procedure is proposed for finding common child-paths, then we reveal a relationship between common child-path and parent-path, and subsequently formulate the distance. Finally, distance between switching paths is extended to relative distance between switching signals, which is used to analyze the robustness for a class of switched linear systems.

关键词： Robustness Linear systems Robust stability Sun Signal analysis Switched systems control systems Robust control Stability analysis controllability

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The Application of the Locally Linear Model Tree on Customer Churn Prediction

The Application of the Locally Linear Model Tree on Customer...

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International Conference of Soft Computing and Pattern Recognition (SOCPAR)

作者： Amineh Ghorbani Fattaneh Taghiyareh Caro Lucas Faculty of Technology Policy and Management Delft University of Technnology Delft Netherlands Department of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran

Acquiring new customers in any business is much more expensive than trying to keep the existing ones. Thus many prediction models are presented to detect churning customers. The objective of this paper was to improve the predictive accuracy and interpretability of churn detection. For this purpose, the application of the locally linear model tree (LOLIMOT) algorithm, which integrates the advantage of neural networks, tree model and fuzzy modeling, was experimented. Applied to the data of a major telecommunication company, the method is found to improve prediction accuracy significantly compared to other algorithms, such as artificial neural networks, decision trees, and logistic regression. The results also indicate that LOLIMOT can have accurate outcome in extremely unbalanced datasets.

关键词： Predictive models Decision trees Neural networks Accuracy Artificial neural networks Logistics Regression tree analysis Pattern recognition Application software Conference management

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ℒ2-induced gain analysis for a class of switched systems

ℒ2-induced gain analysis for a class of switched systems

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IEEE Conference on Decision and control

作者： Kenji Hirata João P. Hespanha Department of Mechanical Engineering Nagaoka University of Technology Nagaoka Japan Center for Control Dynamical Systems and Computation and the Department of Electrical and Computer Engineering University of California Santa Barbara CA USA

This paper addresses the computation of the L 2 -induced gain for a class of switched systems. The main contribution of the paper is to completely characterize the induced gain of the switched system through a system of differential inequalities on a common storage function, one for each system being switched. The motivation for computing the induced gain of a switched system is the application of robust stability tools to the analysis of hybrid systems.

关键词： Switched systems Sufficient conditions Asymptotic stability Riccati equations Difference equations Linear systems control systems Observability Robust stability Logic

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