Dynamic transmission planning using a constrained genetic algorithm

A new, accurate and efficient model for long range transmission planning is developed in this paper. The model applies a constrained genetic algorithm where the system stability constraints, in terms of upper and lower limits on the system bus voltage magnitudes and swing angles, are easily included. The accurate ac load flow equations are also included in the algorithm. An accurate cost function for the transmission system is formulated where both fixed and variable costs for all planned facilities are included, in addition to the cost of energy losses. The cost function is then minimized, subject to system constraints, using a constrained genetic algorithm. The model is capable of handling both static mode of planning, as well as the dynamic mode of planning accurately and not as a series of statically build-up plans. The IEEE 6-bus test system is used to test and justify the applicability of the new developed model.