Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Electrical and Computer Engineering (20)
- Civil and Environmental Engineering (12)
- Physical Sciences and Mathematics (8)
- Chemical Engineering (7)
- Operations Research, Systems Engineering and Industrial Engineering (7)
-
- Civil Engineering (6)
- Social and Behavioral Sciences (6)
- Business (5)
- Life Sciences (5)
- Mechanical Engineering (5)
- Architecture (4)
- Arts and Humanities (4)
- Computer Engineering (4)
- Education (4)
- Law (4)
- Medicine and Health Sciences (4)
- Petroleum Engineering (4)
- Construction Engineering and Management (3)
- Industrial Engineering (3)
- Biochemical and Biomolecular Engineering (2)
- Bioresource and Agricultural Engineering (2)
- Computer Sciences (2)
- Construction Engineering (2)
- Databases and Information Systems (2)
- Digital Communications and Networking (2)
- Aerospace Engineering (1)
- Air and Space Law (1)
- Architectural Engineering (1)
- Aviation (1)
- Institution
-
- Missouri University of Science and Technology (24)
- University of Central Florida (6)
- Brigham Young University (4)
- University of Nebraska - Lincoln (4)
- Air Force Institute of Technology (3)
-
- Engineering Conferences International (3)
- Louisiana State University (3)
- Technological University Dublin (3)
- Old Dominion University (2)
- Santa Clara University (2)
- Singapore Management University (2)
- Brigham Young University Law School (1)
- California Polytechnic State University, San Luis Obispo (1)
- Cleveland State University (1)
- Kennesaw State University (1)
- Michigan Technological University (1)
- National Taiwan Ocean University (1)
- Portland State University (1)
- South Dakota State University (1)
- Syracuse University (1)
- University of Kentucky (1)
- University of Texas at El Paso (1)
- Virginia Commonwealth University (1)
- Keyword
-
- Power System Control (7)
- Neurocontrollers (5)
- Multimachine Power System (4)
- Flexible AC Transmission Systems (3)
- Load Flow Control (3)
-
- Optimal Control (3)
- Power System Identification (3)
- Static Compensator (3)
- Adaptive Control (2)
- Architecture (2)
- Backpropagation (2)
- Building (2)
- Communication technologies (2)
- Construction (2)
- Control Engineering Computing (2)
- Engineering (2)
- Experimental design (2)
- FACTS Device (2)
- Genetic Algorithms (2)
- Government (2)
- Hydrology (2)
- Indirect Adaptive Control (2)
- Innovation (2)
- Modeling (2)
- Neural Network (2)
- PI Control (2)
- Particle Swarm Optimization (2)
- Phase Measurement (2)
- Plumbing (2)
- Power System (2)
- Publication
-
- Electrical and Computer Engineering Faculty Research & Creative Works (17)
- Electronic Theses and Dissertations (6)
- Theses and Dissertations (6)
- Enhanced, Compact and Ultra-Compact Heat Exchangers: Science, Engineering and Technology (3)
- Building Services Engineering (2)
-
- Chemical and Biochemical Engineering Faculty Research & Creative Works (2)
- Civil, Architectural and Environmental Engineering Faculty Research & Creative Works (2)
- Faculty Publications (2)
- LSU Doctoral Dissertations (2)
- Research Collection School Of Computing and Information Systems (2)
- Santa Clara Magazine (2)
- United States Department of Energy: Publications (2)
- Books/Book chapters (1)
- Brigham Young University International Law & Management Review (1)
- Department of Mechanical and Aerospace Engineering Annual Reports (1)
- Departmental Technical Reports (CS) (1)
- Dissertations and Theses (1)
- Engineering Management & Systems Engineering Theses & Dissertations (1)
- Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works (1)
- Impulse (Jerome J. Lohr College of Engineering Publication) (1)
- Journal of Marine Science and Technology–Taiwan (1)
- Kentucky Transportation Center Research Report (1)
- LSU Master's Theses (1)
- Masters Theses (1)
- OES Faculty Publications (1)
- Office of the Provost Scholarship (1)
- Opportunities for Undergraduate Research Experience Program (OURE) (1)
- Papers in Sustainable Mining (1)
- Scholars and Artists Bibliographies (1)
- School of Information Studies - Faculty Scholarship (1)
- Publication Type
Articles 61 - 68 of 68
Full-Text Articles in Engineering
Genetic Algorithms Based Economic Dispatch With Application To Coordination Of Nigerian Thermal Power Plants, Ganesh K. Venayagamoorthy, G. A. Bakare, U. O. Aliyu, Y. K. Shu'aibu
Genetic Algorithms Based Economic Dispatch With Application To Coordination Of Nigerian Thermal Power Plants, Ganesh K. Venayagamoorthy, G. A. Bakare, U. O. Aliyu, Y. K. Shu'aibu
Electrical and Computer Engineering Faculty Research & Creative Works
The main focus of this paper is on the application of genetic algorithm (GA) to search for an optimal solution to a realistically formulated economic dispatch (ED) problem. GA is a global search technique based on principles inspired from the genetic and evolution mechanism observed in natural biological systems. A major drawback of the conventional GA (CGA) approach is that it can be time consuming. The micro-GA (µGA) approach has been proposed as a better time efficient alternative for some engineering problems. The effectiveness of CGA and µGA. to solving ED problem is initially verified on an IEEE 3-generating unit, …
Effects Of A Statcom, A Scrc And A Upfc On The Dynamic Behavior Of A 45 Bus Section Of The Brazilian Power System, Ganesh K. Venayagamoorthy, Salman Mohagheghi, Wei Qiao, Swakshar Ray, Ronald G. Harley, Djalma M. Falcao, Glauco N. Taranto, Tatiana M. L. Assis, Yamille Del Valle
Effects Of A Statcom, A Scrc And A Upfc On The Dynamic Behavior Of A 45 Bus Section Of The Brazilian Power System, Ganesh K. Venayagamoorthy, Salman Mohagheghi, Wei Qiao, Swakshar Ray, Ronald G. Harley, Djalma M. Falcao, Glauco N. Taranto, Tatiana M. L. Assis, Yamille Del Valle
Electrical and Computer Engineering Faculty Research & Creative Works
No abstract provided.
A Dynamic Recurrent Neural Network For Wide Area Identification Of A Multimachine Power System With A Facts Device, Salman Mohagheghi, Ganesh K. Venayagamoorthy, Ronald G. Harley
A Dynamic Recurrent Neural Network For Wide Area Identification Of A Multimachine Power System With A Facts Device, Salman Mohagheghi, Ganesh K. Venayagamoorthy, Ronald G. Harley
Electrical and Computer Engineering Faculty Research & Creative Works
Multilayer perceptron and radial basis function neural networks have been traditionally used for plant identification in power systems applications of neural networks. While being efficient in tracking the plant dynamics in a relatively small system, their performance degrades as the dimensions of the plant to be identified are increased, for example in supervisory level identification of a multimachine power system for wide area control purposes. Recurrent neural networks can deal with such a problem by modeling the system as a set of differential equations and with less order of complexity. Such a recurrent neural network identifier is designed and implemented …
A Neural Network Based Wide Area Monitor For A Power System, Xiaomeng Li, Ganesh K. Venayagamoorthy
A Neural Network Based Wide Area Monitor For A Power System, Xiaomeng Li, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
With the deregulation of power industry, many tie lines between control areas are driven to operate near their maximum capacity, especially those serving heavy load centers. Wide area controllers (WACs) using wide-area or global signals can provide remote auxiliary control signals to local controllers such as automatic voltage regulators, power system stabilizers, etc to damp out inter-area oscillations. The power system is highly nonlinear system with fast changing dynamics. In order to have an efficient WAC, an online system monitor/predictor is required to provide inter-area information to the WAC from time to time. This paper presents the design of an …
Adaptive Critic Designs For Optimal Control Of Power Systems, Ganesh K. Venayagamoorthy, Ronald G. Harley
Adaptive Critic Designs For Optimal Control Of Power Systems, Ganesh K. Venayagamoorthy, Ronald G. Harley
Electrical and Computer Engineering Faculty Research & Creative Works
The increasing complexity of the modern power grid highlights the need for advanced modeling and control techniques for effective control of excitation, turbine and flexible AC transmission systems (FACTS). The crucial factors affecting the modern power systems today is voltage and load flow control. Simulation studies in the PSCAD/EMTDC environment and realtime laboratory experimental studies carried out are described and the results show the successful control of the power system elements and the entire power system with adaptive and optimal neurocontrol schemes. Performances of the neurocontrollers are compared with the conventional PI controllers for damping under different operating conditions for …
An Adaptive Mamdani Fuzzy Logic Based Controller For A Static Compensator In A Multimachine Power System, Salman Mohagheghi, Ganesh K. Venayagamoorthy, Ronald G. Harley
An Adaptive Mamdani Fuzzy Logic Based Controller For A Static Compensator In A Multimachine Power System, Salman Mohagheghi, Ganesh K. Venayagamoorthy, Ronald G. Harley
Electrical and Computer Engineering Faculty Research & Creative Works
An adaptive Mamdani based fuzzy logic controller has been designed for controlling a static compensator (STATCOM) in a multimachine power system. Such a controller does not need any prior knowledge of the plant to be controlled and can efficiently control a STATCOM during different disturbances in the network. A model free approach using the controller output error is applied for training purposes that adaptively changes the controller output parameters based on a gradient descent method. Moreover, shrinking span membership functions are used for a more stable and accurate control performance. Simulation results show that the proposed controller outperforms the conventional …
Optimal Control Parameters For A Upfc In A Multimachine Using Pso, Ganesh K. Venayagamoorthy
Optimal Control Parameters For A Upfc In A Multimachine Using Pso, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
The crucial factor affecting the modern power systems today is load flow control. The unified power flow controller (UPFC) is an effective means for controlling the power flow and can provide damping capability during transient conditions. The UPFC is controlled conventionally using PI controllers. The optimal design of the PI controllers for a UPFC is a challenging task and time consuming using the conventional techniques. This paper presents an approach using particle swarm optimization (PSO) for the design of optimal conventional controllers for a UPFC in a multimachine power system. Simulation results are presented to show the effectiveness of the …
Mlp/Rbf Neural-Networks-Based Online Global Model Identification Of Synchronous Generator, Jung-Wook Park, Ganesh K. Venayagamoorthy, Ronald G. Harley
Mlp/Rbf Neural-Networks-Based Online Global Model Identification Of Synchronous Generator, Jung-Wook Park, Ganesh K. Venayagamoorthy, Ronald G. Harley
Electrical and Computer Engineering Faculty Research & Creative Works
This paper compares the performances of a multilayer perceptron neural network (MLPN) and a radial basis function neural network (RBFN) for online identification of the nonlinear dynamics of a synchronous generator in a power system. The computational requirement to process the data during the online training, local convergence, and online global convergence properties are investigated by time-domain simulations. The performances of the identifiers as a global model, which are trained at different stable operating conditions, are compared using the actual signals as well as the deviation signals for the inputs of the identifiers. Such an online-trained identifier with fixed optimal …