Distribution Network Expansion Planning Considering Distribution Automation and Using Genetic Meta-Heuristic Algorithm

In this paper, a profit-based distribution network expansion planning model will be examined. In this model, some capabilities of the automation system are considered to achieve a plan that is more compatible with the strategic plan to achieve a smart grid. In addition, a method has been used to assess the reliability of a distribution network so that development planning studies can be conducted more efficiently. The objective function of the planning problem is the net worth of the firm. Using genetic algorithm, this nonlinear programming problem of complex integer is solved. The method has been evaluated in a visual experimental network and the results are presented and discussed. The results show that the development plan with automation is more profitable than the conventional development plan.