Economic Scheduling of the Electric Transmission/ Distribution Substations in Jeddah City with Parametric Results

This paper is devoted to economically scheduling the number of electric transmission/ distribution substations for long-term time horizon (2011 – 2020). The schedule aims at minimizing the total costs while maintaining the problem constraints based on a dynamic programming model. There are many parameters affecting the solution of the problem, these parameters are: initial value of the substation building cost, percentage of yearly increase in the substation building cost, percentage of discount for buying more than one substation, and present and future values of the operation cost. The proposed dynamic programming model will provide Saudi Electricity Company (SEC) with a systematic procedure to arrive at the best decision based on the optimal combination of the number of substations to be built in each year during the planning time horizon. It gives also an overview for the sensitivity range of parameter changes for the same optimal solution, and gives other optimal solution ranges for more changes in the parameters.