Kashem Muttaqi - Academia.edu (original) (raw)

Papers by Kashem Muttaqi

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ABSTRACT This paper presents a novel control scheme of neutral point clamped (NPC) voltage source... more ABSTRACT This paper presents a novel control scheme of neutral point clamped (NPC) voltage source converter (VSC) based static synchronous compensator (STATCOM) to enhance the performance of wind farms. A novel control strategy for the STATCOM is presented by introducing a voltage equalizer for dc link capacitor voltages and decoupled current controllers to produce appropriate d-q currents. The controllers for the wind energy conversion system and STATCOM are implemented in Matlab/SimPower. The performance of the proposed control scheme is compared with the traditional vector control scheme and results show that the proposed scheme for the STATCOM shows better performance. The STATCOM is also used to enhance the system performance during loss of generation, load change, three phase fault, voltage sag and swell. The simulation results show that the STATCOM with the proposed controller can improve the steady state and dynamic responses, and enhance the system performance during various disturbances.

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ABSTRACT In the proposed method, each loop in a network is represented as a circle, which is deri... more ABSTRACT In the proposed method, each loop in a network is represented as a circle, which is derived from the relationship between the change of load balancing due to the branch-exchange and the power-flows in the branches. If there is no change of load balancing in the system, then all the circles touch each other at the (0,0) coordinate. The circles with no load balancing are called zero load balancing change circles. The maximum load balancing loop in the network is identified by comparing the radii of all the modified zero load balancing change circles. The corresponding loop of the largest one gives the maximum improvement of load balancing in the network. Then the possible branch exchanges in the maximum load balancing loop are investigated by comparing the size of the circle for every branch-exchange. If the loads are balanced due to a branch exchange, the size of the circle diminishes and hence the smallest circle gives the maximum improvement in load balancing and the corresponding branch-exchange is considered to be the best candidate for maximum improvement in load balancing. To show the efficiency and performance of the proposed method for the solution of computationally complex and large dimensionality problems, a system with 69-bus and 7 laterals has been considered as the test system. Test results have shown that the proposed method can identify the most effective branch-exchange operations for load balancing with less computational effort and time. The number of load flow solutions has been reduced to a greater extent in the proposed method

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ABSTRACT Network reconfiguration for maximizing voltage stability is the determination of switchi... more ABSTRACT Network reconfiguration for maximizing voltage stability is the determination of switching-options that maximize voltage stability the most for a particular set of loads on the distribution systems, and is performed by altering the topological structure of distribution feeders. Network reconfiguration for time-varying loads is a complex and extremely nonlinear optimization problem which can be effectively solved by Artificial Neural Networks (ANNs), as ANNs are capable of learning a tremendous variety of pattern mapping relationships without having a priori knowledge of a mathematical function. In this paper a generalized ANN model is proposed for on-line enhancement of voltage stability under varying load conditions. The training sets for the ANN are carefully selected to cover the entire range of input space. For the ANN model, the training data are generated from the Daily Load Curves (DLCs). A 16-bus test system is considered to demonstrate the performance of the developed ANN model. The proposed ANN is trained using Conjugate Gradient Descent Back-propagation Algorithm and tested by applying arbitrary input data generated from DLCs. The test results of the ANN model are found to be the same as that obtained by off-line simulation. The enhancement of voltage stability can be achieved by the proposed method without any additional cost involved for installation of capacitors, tap-changing transformers, and the related switching equipment in the distribution systems. The developed ANN model can be implemented in hardware using the neural chips currently available.

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Network reconfiguration in distribution system is realized by changing the status of sectionalizi... more Network reconfiguration in distribution system is realized by changing the status of sectionalizing switches, and is usually done for the purpose of loss reduction. Loss reduction can result in substantial benefits for a utility. Other benefits from loss reduction include increased system capacity, and possible deferment or elimination of capital expenditures for system improvements and expansion. There is also improved

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Network reconfiguration is an operation task, and consists in the determination of the switching ... more Network reconfiguration is an operation task, and consists in the determination of the switching operations such to reach the minimum loss conditions of the distribution networks. In this paper, a general formulation of the network reconfiguration for loss minimization is given for the optimization of distribution loss reduction and a solution approach is presented. The solution employs a search over

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International Journal of Innovations in Energy …, 2008

... 3, no. 1 (April 2008) Page 25 of 45 Page 8. Dr. Md. Enamul Haque graduated in electrical and ... more ... 3, no. 1 (April 2008) Page 25 of 45 Page 8. Dr. Md. Enamul Haque graduated in electrical and electronic engineering from Bangladesh Institute of Technology (BIT), Rajshahi, Bangladesh, in 1995. He received M.Eng.Sc. in electrical ...

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ABSTRACT

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International Journal of Innovations in Energy …, 2008

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