Mathematical dynamic optimization model for electrical distribution system planning

Abstract A dynamic mixed-integer programming model is presented that has been developed to solve a distribution system expansion problem. The results of the study indicate that the computerized modelling approach is a promising tool that can provide considerable savings to the electrical utility industry in reducing not only planning man-hours but also the fixed and variable costs of distribution system operation and the final cost to the consumer.