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2013
NO A. "A combined sensitivity factor based GA-IPSO approach for system loss reduction and voltage profile enhancement." International Journal of Innovative Research in Engineering and Science. 2013;12(2):2319-5665. Abstractabungupaper.pdfWebsite

Though several algorithms for optimizing DG location and size in a network with the aim of reducing system power losses and enhancing better voltage profile have already been proposed, they still suffer from several drawbacks. As a result much can be done in coming up with new algorithms or improving the already existing ones so as to address this important issue more efficiently and effectively. Majority of the proposed algorithms have emphasized on real power losses only in their formulations. They have ignored the reactive power losses which is key in the operation of power systems. In modern practical power systems reactive power injection plays a critical role in voltage stability control, thus the reactive power losses need to be incorporated in
optimizing DG allocation for voltage profile improvement. The results of the few works which have considered reactive power losses in their optimization can be improved by using more recent and accurate algorithms. This research work aimed at solving this problem by proposing a hybrid of GA and IPSO to optimize DG location and size while considering both real and reactive power losses. Both real and reactive power flow and power loss sensitivity factors were utilized in identifying the candidate buses for DG allocation. This reduced the search space for the algorithm and increasing its rate of convergence. This research considers a multi-type DG; type 1 DG (DG generating real power only), type 2 DG (DG generating both real and active
power) and type 3 DG (DG generating real power and absorbing reactive power)."

Charlese JK, Abungu DNO. "A Combined Sensitivity factor based GA-IPSO approach for System Loss Reduction and Voltage Profile Enhasment." International Journal of Innovative Research in Engineering and Science. 2013;12(2).j._kilonzi_and_dr._abungu_3.pdf
2012
Manteaw ED, Abungu NO. "Combined Economic and Emission Dispatch Solution Using ABC_PSO Hybrid Algorithm with Valve Loading Effect." International Journal of Scientific and Research Publications. 2012;2(12):1-9. Abstractijsrp-p1299.pdfClick here to read more...

The problem of power system optimization has become a deciding factor in current power system engineering practice with emphasis on cost and emission reduction. The economic and emission dispatch problem has been addressed in this paper using two efficient optimization methods, Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). A hybrid produced from these two algorithms is tested on a 10 generator test system with valve point effects. The results are compared with differential evolution (DE), Strength Pareto Evolutionary Algorithm (SPEA) and Non Sorting Genetic Algorithm (NSGA) and found to be effective on the combined economic and emission dispatch problem.

2005
Abungu NO, Munda JL, Akumu AO. "A Case for the Revision of Power Engineering Syllabi at Kenyan Universities.". In: The IASTED( International Association of Science and Technology for Development ) International Conference, ENERGY AND POWER SYSTEMS. International Association of Science and Technology for Development (IASTED; 2005. Abstract

This paper presents a summary of the current status of Electrical Power Engineering Education at Kenyan universities, followed by a summary of the situation on the same at universities world-wide. Against a backdrop of expected changes in the Kenyan power industry, the paper discusses the industry expectations of a power systems graduate currently and in the future, making a case for the revision of the current power engineering syllabi, concluding with recommendations and strategies for making the required changes.

1992
Ijumba N, Orero SO, Abungu NO. "Computer applications in voltage monitoring and control (case of the Kenya Power and Lighting Company.". In: The International Workshop on Voltage Collapse & Voltage Regulatio. The International Workshop on Voltage Collapse & Voltage Regulation; 1992. Abstract

When an insulator is placed in an electrode gap, its surface charge field distorts the geometric field, leading to a flashover at a voltage value dependent on the degree of the gap field distortion. This paper reports on studies conducted to determine the relationship between flashover voltages and electric filed distribution along solid insulator surfaces. The surface electric field distribution along different insulator profiles was determined using the Finite-Difference method, and the flashover of the actual profile model measured. The obtained results show that each profile had a peak surface electric field and the higher the peak value, the lower the flashover voltage. The correlation curve for peak electric field and flashover voltage was developed using a curve fitting technique based on the Nelder-Mead simplex algorithm.

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