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The optimal power flow problem is a large scale, nonconvex, and nonlinear programming problem that is very complicated in realistic applications by due to the presence of a large number of real and integer variables. Given its importance in power systems planning and operation activities, the optimization problem has been a subject of intense study by researchers in recent years. Practical optimal power flow applications require fast optimization algorithms like the primal-dual interior-point method. In addition, using a DC network modeling, it is quite well known that real power flows are transformed to linear functions of voltage angles, so a linear programming based solution procedures can be applied to the optimization problem. In this case, the voltage magnitudes and reactive power are eliminated from the problem.
In this chapter a primal-dual Interior point algorithm is applied to DC optimal power flow using DIgSILENT Programming Language (DPL). The DPL serves the purpose of offering an interface for automating tasks in the PowerFactory program. The DPL adds a new dimension to the DIgSILENT PowerFactory program by allowing the creation of new calculation functions. Such new calculation functions are written as program scripts.
The contributions of this chapter proposal are as follows:
1) The study considers that the optimization problem can be solved using only the power generation (generated?) as the decision variables (control variables). With this proposal, the nodal power balance constraints are not needed, so the nodal constraints are reduced to one equation using the global supply demand balance constraint.
2) This modeling is accomplished using the linear sensitivity factors. These factors show the approximate change in the line flow for changes in generation on the network configuration. Such a approach not only significantly improves the time of the simulation but also the main advantage of this proposal is the reduction of the dimension in the optimization problem. Therefore, an efficient algorithm has been carried out to model the DC-OPF problem.
3) The methodology is applied to IEEE standard systems (9 bus system and 30 bus system). The data of the power systems are obtained from Matpower, and the results are compared with the results published in the state of the art, and mainly with Matpower which use a primal-dual interior point algorithm as well.
4) The results and effectiveness of the proposed technique are compared in the study.

Victor- It seems that no one else wants to handle your engineering writing. Although the subject is not within my experience (as an mechanical engineer), I thought I would give you feedback anyway. It is probably too late for your purposes.  -Sven