
I am a determined, responsible, and self-motivated graduate engineer. I have studied for a Master of science program in Electrical and Electronic Engineering at the University of Nairobi (2016-2020). I have a Bachelor of Science degree in Electrical and Electronic Engineering from the University of Nairobi (2006-2011) and I got Kenya Secondary School certification (2000 to 2004) from Mbooni Girls Secondary School.
I am currently working at Kenya Power (2017 to date) at the network management division. Previously, I worked as an assurance associate and senior associate at Price waterhouse Coopers, Kenya (2011-2016). I undertook Industrial attachments at Kenya Police Airwing (Sept 2010), Power Technics (Aug 2010), Newedge Communications Ltd (Sept-Oct 2008) and Kenya Power and Lighting Company (Aug-Oct 2007).
I am passionate about providing engineering solutions to societal problems. Key interests include: Distributed Generation, Power System automation, Power System Stability, Renewable Energy technology and Optimization.
Project Summary
IMPROVING THE VOLTAGE STABILITY OF A DISTRIBUTION SYSTEM WITH RENEWABLE DISTRIBUTED GENERATION USING A THREE METHOD HYBRID.
Owing to the increased advocacy on clean energy sources worldwide, the integration of Renewable Distributed Generators (RDGs) in to the grid has been increasingly adopted in meeting increased electrical load demand. RDGs are intermittent in nature posing a great problem to the system’s voltage stability due to their variable power output. Therefore the study of voltage stability with Renewable Distributed Generation integrated in the distribution system is very critical in modern power system operation. The formulation and solution of the voltage stability problem of a radial distribution system with Renewable Distributed Generation (RDG) is crucial. Earlier research works show that optimal penetration of RDGs to the grid near the load centers can improve the system reliability, voltage stability and power quality through reduced transmission line losses. However, a further increase in RDG penetration distorts the system’s voltage stability. This thesis work comprised of a multi-objective problem formulation aimed at reducing the total line losses (both real and reactive) and the total voltage deviation of a radial distribution system with Photovoltaic Solar sources and wind sources. A three method hybrid approach of Index Based Planning, Adaptive Genetic Algorithm and Simulated Annealing was applied in solving this problem. Results show that the three method hybrid can be used to optimally size and locate two RDGs in a radial distribution system while reducing the total line losses and total voltage deviation simultaneously.
Research Supervisors
Dr. Peter Musau
Prof. Nicodemus Abungu