Improved TTC per Fuel Cost with DGs by Using Evolutionary Programming

The using of the evolutionary programming (EP) is presented to optimize the allocation of distributed generation (DG) units. The contents of this paper are to increase the power transmission capacity by considering the ratio of the total transfer capability (TTC) and the economic dispatch (ED). Moreover, the ratio of TTC and the installation cost of DG is evaluated to observe the worth of operation. The allocations of DG are type, location, and electrical power capacity. The two types of DG, solar energy wind are used in this paper. The modified IEEE 30-bus system is selected to demonstrate this using the EP. Test results indicate that the allocation of DGs from EP can increase TTC from the base case. Moreover, the best ratio of the TTC and cost of installation of DG and the ratio of TTC per ED are evaluated. This means the installation of DGS with optimal allocation by using EP can improve the TTC per fuel cost. The maximum performance of the power system is reached with the best TTC per fuel cost without any violence in the power system.