Abstract
Adequate electric power generation depends on many factors
which include: investment cost, fuel cost, maintenance cost, operation
cost, number and capacity of generators. And because of the increasing
demand for electric energy day in day out due to exponential increase in
population, industries and organizations, there is need for optimal future
planning in an attempt to meet the demand of the people. In this work, we
present a linear programming model which based on integer formulation
of electric power system generation in an attempt to optimally planning,
minimize, and predict the future cost of generation. The model was solved
using an iterative optimization method named ‘branch and bound’ and real
life data was used for better understanding. The result obtained shows that
the cost of generation can be minimized with maximum output and the
future cost of generation can also be determined for optimal planning.
Y. O. Aderinto, A. O. Afolabi, I. T. Issa. (2018) On Optimal Planning of Electric Power Generation Systems, Punjab University Journal of Mathematics, Volume 50, Issue 1.
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