James Momoh
Howard University, Electrical and Computer Engineering, Faculty Member
This chapter contains sections titled: Introduction Planning Processes Transmission Limits Decision Support Models Market Efficiency and Transmission Investment Summary Acknowledgments Bibliography
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In this chapter, we present opportunities for improvement in technical modeling of Flexible AC Transmission System (FACTS) devices and Distributed Generation (DG) Technologies for enhancing the efficiency and sustainability of high... more
In this chapter, we present opportunities for improvement in technical modeling of Flexible AC Transmission System (FACTS) devices and Distributed Generation (DG) Technologies for enhancing the efficiency and sustainability of high perform-ance electric power systems. ...
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Page 1. 209 Robust Features Selection Scheme for Fault Diagnosis in an Electric Power Distribution System Karen L. Butler Student Member, IEEE Dr. James A. Momoh Senior Member, IEEE Howard University Department of Electrical Engineering... more
Page 1. 209 Robust Features Selection Scheme for Fault Diagnosis in an Electric Power Distribution System Karen L. Butler Student Member, IEEE Dr. James A. Momoh Senior Member, IEEE Howard University Department of Electrical Engineering Washington, DC 20059 ...
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ABSTRACT This paper investigates the use of artificial neural networks for determining the voltage stability limit of a power system during contingencies. Different neural network architectures are trained with data containing a variety... more
ABSTRACT This paper investigates the use of artificial neural networks for determining the voltage stability limit of a power system during contingencies. Different neural network architectures are trained with data containing a variety of load patterns, generation patterns, generator voltage pattern and transformer tap ratio settings, via economic minimization. Tests are conducted on a neural network selected based on training performance. Studies are conducted on the New England 39 bus system. The work is an enhancement of previous work by the authors and provides criteria for possible extension of the stability limit. It is concluded that the selected neural network architecture gives reasonably accurate predictions of the collapse point with potential for improving the stability margin
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ABSTRACT This paper demonstrates the use of artificial neural networks for voltage stability assessment and enhancement of a power system. The neural network is trained with data containing a variety of load patterns. The reactive... more
ABSTRACT This paper demonstrates the use of artificial neural networks for voltage stability assessment and enhancement of a power system. The neural network is trained with data containing a variety of load patterns. The reactive compensation is applied via switchable shunt VAr support. Studies are conducted on the New England 39 bus power system. It is concluded that artificial can be used for assessment of the support needed for extending the margin, and to assess the extended stability margin with reasonable accuracy
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This paper discusses the application of field data to a new supervised clustering-based arcing distribution fault diagnosis method. The fault diagnosis method can perform three functions that provide preliminary fault location information... more
This paper discusses the application of field data to a new supervised clustering-based arcing distribution fault diagnosis method. The fault diagnosis method can perform three functions that provide preliminary fault location information for grounded and ungrounded power distribution systems: fault detection, faulted type classification, and faulted phase identification. It contains two main modules: a preprocessor and a pattern classifier which
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The goal of this paper is to present a partitioned-based optimal power flow (POPF) tool for VAR planning using partitioned power system networks. This tool incorporates a partitioning algorithm, a generic load flow Howard University Power... more
The goal of this paper is to present a partitioned-based optimal power flow (POPF) tool for VAR planning using partitioned power system networks. This tool incorporates a partitioning algorithm, a generic load flow Howard University Power Flow Program (HUPFP), and an optimization algorithm-Extended Quadratic interior Point (EQIP) method, all in one environment. The VAR planning objective function formulation used for this phase of the project is presented. Also the implementation of the POPF algorithm is discussed with specific emphasis placed on the partitioning algorithm, the EQIP algorithm, and a handling infeasibility scheme. The POPF algorithm is illustrated on the IEEE 30-bus test case partitioned into 2 local areas for the VAR planning objective.<<ETX>>
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This paper investigates the use of artificial neural networks for determining the voltage stability limit of a power system during contingencies. Different neural network architectures are trained with data containing a variety of load... more
This paper investigates the use of artificial neural networks for determining the voltage stability limit of a power system during contingencies. Different neural network architectures are trained with data containing a variety of load patterns, generation patterns, generator voltage pattern and transformer tap ratio settings, via economic minimization. Tests are conducted on a neural network selected based on training performance. Studies are conducted on the New England 39 bus system. The work is an enhancement of previous work by the authors and provides criteria for possible extension of the stability limit. It is concluded that the selected neural network architecture gives reasonably accurate predictions of the collapse point with potential for improving the stability margin
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ABSTRACT
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Research Interests: Engineering and Citation
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ABSTRACT This paper presents voltage stability study of the Thailand power system by considering the existing Static Var Compensators, generation and load directions. An approach to determine appropriate voltage settings of existing... more
ABSTRACT This paper presents voltage stability study of the Thailand power system by considering the existing Static Var Compensators, generation and load directions. An approach to determine appropriate voltage settings of existing Static Var Compensators is proposed in order to maximize static voltage stability margin of the system. Two most recent methods, namely Maximum Loading Margin and realistic load direction methods, are applied to the Thailand power system in order enhance loading margin of the system in a practical way. With the applications of the proposed and existing techniques, the highest and practical voltage stability margin of Thailand power system is obtained. This provides a guide for electric power utilities to enhance voltage stability margin of power systems in a practical way.
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Page 1. 209 Robust Features Selection Scheme for Fault Diagnosis in an Electric Power Distribution System Karen L. Butler Student Member, IEEE Dr. James A. Momoh Senior Member, IEEE Howard University Department of Electrical Engineering... more
Page 1. 209 Robust Features Selection Scheme for Fault Diagnosis in an Electric Power Distribution System Karen L. Butler Student Member, IEEE Dr. James A. Momoh Senior Member, IEEE Howard University Department of Electrical Engineering Washington, DC 20059 ...
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The goal of this paper is to present a partitioned-based optimal power flow (POPF) tool for VAR planning using partitioned power system networks. This tool incorporates a partitioning algorithm, a generic load flow Howard University Power... more
The goal of this paper is to present a partitioned-based optimal power flow (POPF) tool for VAR planning using partitioned power system networks. This tool incorporates a partitioning algorithm, a generic load flow Howard University Power Flow Program (HUPFP), and an optimization algorithm-Extended Quadratic interior Point (EQIP) method, all in one environment. The VAR planning objective function formulation used for this phase of the project is presented. Also the implementation of the POPF algorithm is discussed with specific emphasis placed on the partitioning algorithm, the EQIP algorithm, and a handling infeasibility scheme. The POPF algorithm is illustrated on the IEEE 30-bus test case partitioned into 2 local areas for the VAR planning objective.<<ETX>>
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Abstract This paper presents the results of studies which applies a multi-objective optimization function for the management of a solar based DC spacecraft network of the ring bus topology. The optimization function is utilized which... more
Abstract This paper presents the results of studies which applies a multi-objective optimization function for the management of a solar based DC spacecraft network of the ring bus topology. The optimization function is utilized which features the objectives of ...
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Electricity markets have emerged all around the world since the early 1990s. In general, they tend to be characterized by an oligopoly of generators, very little demand - side elasticity in the short term, and complex administered market... more
Electricity markets have emerged all around the world since the early 1990s. In general, they tend to be characterized by an oligopoly of generators, very little demand - side elasticity in the short term, and complex administered market mecha-nisms. The market mechanisms are ...
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This chapter contains sections titled: Introduction Structure of the Next Generation Optimization Foundations of the Next Generation Optimization Applications of Next Generation Optimization to Power Systems Grand Challenges in Next... more
This chapter contains sections titled: Introduction Structure of the Next Generation Optimization Foundations of the Next Generation Optimization Applications of Next Generation Optimization to Power Systems Grand Challenges in Next Generation Optimization and Research Needs Concluding Remarks and Benchmark Problems Acknowledgments Bibliography
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Smart energy grid is an emerging area for new applications of machine learning in a nonstationary environment. Such a nonstationary environment emerges when large-scale failures occur at power networks because of external disruptions such... more
Smart energy grid is an emerging area for new applications of machine learning in a nonstationary environment. Such a nonstationary environment emerges when large-scale failures occur at power networks because of external disruptions such as hurricanes and severe storms. Power distribution networks lie at the edge of the grid, and are especially vulnerable to external disruptions. Quantifiable approaches are lacking and needed to learn nonstationary behaviors of large-scale failure and recovery of power distribution. This paper studies such nonstationary behaviors in three aspects. First, a novel formulation is derived for an entire life cycle of large-scale failure and recovery of power distribution. Second, spatial-temporal models of failure and recovery of power distribution are developed as geolocation-based multivariate nonstationary GI(t)/G(t)/∞ queues. Third, the nonstationary spatial-temporal models identify a small number of parameters to be learned. Learning is applied to ...
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ABSTRACT
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This paper discusses the application of field data to a new supervised clustering-based arcing distribution fault diagnosis method. The fault diagnosis method can perform three functions that provide preliminary fault location information... more
This paper discusses the application of field data to a new supervised clustering-based arcing distribution fault diagnosis method. The fault diagnosis method can perform three functions that provide preliminary fault location information for grounded and ungrounded power distribution systems: fault detection, faulted type classification, and faulted phase identification. It contains two main modules: a preprocessor and a pattern classifier which
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Abstract Based on quasi-steady-state model, the coordinated voltage control problem was represented by an optimization objective subjected to differential-algebraic equations with continuous-discrete time variables. A direct dynamic... more
Abstract Based on quasi-steady-state model, the coordinated voltage control problem was represented by an optimization objective subjected to differential-algebraic equations with continuous-discrete time variables. A direct dynamic optimization approach from modern ...
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Line faults in delta-delta distribution systems continue to pose a problem for the power industry. The authors focus on the first facet of the effort needed to implement an integrated algorithm for the detection and location of line... more
Line faults in delta-delta distribution systems continue to pose a problem for the power industry. The authors focus on the first facet of the effort needed to implement an integrated algorithm for the detection and location of line faults in power distribution systems. This work entailed the analysis of the fault characteristics and the development of a preliminary fault identification
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This paper presents a new neural network approach based on a clustering algorithm to detect and classify line faults in a power distribution system. A robust features preprocessing procedure is discussed which extracts meaningful features... more
This paper presents a new neural network approach based on a clustering algorithm to detect and classify line faults in a power distribution system. A robust features preprocessing procedure is discussed which extracts meaningful features from current wave forms to serve as a reduced set of inputs to the neural network. Lastly, results are given from studies that were conducted
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The stability and security of power systems are of utmost importance to planning and operation engineers. As demand on grid resources increase, and contingency impacts on the interconnected power grids become more threatening/severe,... more
The stability and security of power systems are of utmost importance to planning and operation engineers. As demand on grid resources increase, and contingency impacts on the interconnected power grids become more threatening/severe, real-time determination of power system operation and control is needed. This paper therefore develops an integrated strategy for handling the challenging problem of maintaining voltage stability for
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The authors describe the implementation of a quadratic interior point method for optimal power flow. Optimal power flow involves the determination of the optimal of a given objective function subject to given constraints. The scheme... more
The authors describe the implementation of a quadratic interior point method for optimal power flow. Optimal power flow involves the determination of the optimal of a given objective function subject to given constraints. The scheme developed solves the quadratic or linear optimization problem subject to linear constraints. The algorithm has been evaluated on a 14-bus system, and its accuracy and
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In this paper remedial action for DC arcing faults in spacecraft has been designed and implemented using Lab VIEW. The Lab VIEW is an innovative graphical programming system designed to facilitate computer controlled data acquisition and... more
In this paper remedial action for DC arcing faults in spacecraft has been designed and implemented using Lab VIEW. The Lab VIEW is an innovative graphical programming system designed to facilitate computer controlled data acquisition and analysis. DC arcing faults in spacecraft has been designed and implemented using the experimental data obtained at NASA Glenn research center. It is important
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... for solving linear programming (LP) has attracted interests in the operation research community, due ... starting and terminating conditions of the method has limited its application to practical ... organized as follows: In Section... more
... for solving linear programming (LP) has attracted interests in the operation research community, due ... starting and terminating conditions of the method has limited its application to practical ... organized as follows: In Section 2, the generalized power system optimization problem is ...
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... The solution method of MINOS is a reduced gradient algorithm or a projected augmented Lagrangian ... Vo1.4, 1989, pp 748-759 Zhu, JZ, and Xu, GY, A new real power ... on Intelligent System Applications to Power Systems, Seoul Korea,... more
... The solution method of MINOS is a reduced gradient algorithm or a projected augmented Lagrangian ... Vo1.4, 1989, pp 748-759 Zhu, JZ, and Xu, GY, A new real power ... on Intelligent System Applications to Power Systems, Seoul Korea, July, 1997 [lOlLee, TH, Thorne, DH, and ...
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... points to load frequency control (LFC); 2) promote Analysis, Computing and Economics Of by ... DL Fletcher,&amp;amp;amp;amp;quot;Voltage Versus Reactive Current Model for Dispatch and Control,&amp;amp;amp;amp;quot; IEEE... more
... points to load frequency control (LFC); 2) promote Analysis, Computing and Economics Of by ... DL Fletcher,&amp;amp;amp;amp;quot;Voltage Versus Reactive Current Model for Dispatch and Control,&amp;amp;amp;amp;quot; IEEE Transactions ... GC Contaxis, C. Delkis and 6. Korres, &amp;amp;amp;amp;quot;Decoupled Optimal Load Flow Using Linear ...
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... Efrain O&#x27;Neill-Carrillo Modern Mathematics Applications in Power University of Puerto Rico, System Control, Security, and ... Warren Powell Approximate Dynamic Programming for High Princeton University Dimensional Resource... more
... Efrain O&#x27;Neill-Carrillo Modern Mathematics Applications in Power University of Puerto Rico, System Control, Security, and ... Warren Powell Approximate Dynamic Programming for High Princeton University Dimensional Resource Allocation Djalma Falcao Placement and ...
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... on Power Systems, Vol.6, No. 2, pp. 442-449, 1991. [ 121 Kun Long Ho , Yuan -Yih Hsu, &quot;Short-Term Load Forecasting using a multi layer neural network with an adaptive learning algorithm&quot;,, IEEE Transactions on Power... more
... on Power Systems, Vol.6, No. 2, pp. 442-449, 1991. [ 121 Kun Long Ho , Yuan -Yih Hsu, &quot;Short-Term Load Forecasting using a multi layer neural network with an adaptive learning algorithm&quot;,, IEEE Transactions on Power System, Vol. 7 , No. 1 , Feb 1992 pp. 141-149. ...
Research Interests: Case Studies, Control Systems, Signal Analysis, Artificial Neural Networks, Case Study, and 11 moreWeather Forecasting, Power System Operation, Feedforward Neural Network, Multilayer Perceptron, Backpropagation, Training Algorithm, Load Forecasting, Short Term Load Forecasting, Load Flow, Artificial Neural Network, and Hybrid Electric Vehicle
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Page 1. Comparison of Feature Extractors on DC Power System Faults for Improving ANN Fault Diagnosis Accuracy James A. Momoh, Walter E. Oliver Jr. Departwnt of Electrical Engineering Howard University Washington, DC 20059 ABSTRACT ...
Research Interests: Power Systems, Power System, Clustering Algorithms, Wavelet Analysis, Domain Analysis, and 13 moreFrequency-domain analysis, Wavelet Transform, Wavelet Transforms, Real Time Systems, Fault diagnosis, Feature Extraction, Real Time, Delivery System, Fast Fourier Transform, Neural Net, Time Domain Analysis, Fast Fourier Transforms, and Hartley Transform
This paper describes a unique value-based reliability enhancement method for bulk transmission system planning. Reinforcement alternatives are evaluated considering their cost and impact on system reliability based on system capability... more
This paper describes a unique value-based reliability enhancement method for bulk transmission system planning. Reinforcement alternatives are evaluated considering their cost and impact on system reliability based on system capability studies under contingency conditions. A dollar value quantification of the level of reliability is presented in the paper enabling calculation of benefit to cost ratios. Based on this quantification, the