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New Algorithms Related to Power Flow 85

               4.1.5 Overview of This Chapter

               (1) The power flow calculation method based on SA is studied. In this chapter, the traditional
                    power flow model is first constructed as an unconstrained nonlinear quadratic
                    programming model, then the SA method is combined with the N-R method to construct a
                    new combinatorial algorithm. The new algorithm uses SA technology to determine the
                    appropriate step size of the solution variable in the N-R method so that it does not fall
                    into the local solution, thereby improving the problem of difficult convergence in
                    power flow calculation, and minimizing the divergence situation. For the calculation
                    of power flow in normal systems, the new algorithm has the same convergence as the
                    N-R algorithm, yet for the ill-conditioned systems where the N-R method is difficult to
                    converge, as long as the solution exists, the new algorithm may obtain a convergent
                    solution.
               (2) A discrete OPF algorithm is studied. This algorithm requires an initial integer solution that
                    can be obtained by truncating the solution from traditional continuous OPF or a general
                    power flow solution. On this basis, the near-optimal solution can be obtained. Therefore,
                    even if the initial integer solution is infeasible, the algorithm proposed can still be applied to
                    searchforafeasibleintegersolution.Twoalgorithmsareproposed:thefirstalgorithmusesa
                    continuous OPF to calculate an initial value, then rounds off the corresponding integer
                    variables and finally searches for the discrete optimal solution; the second algorithm uses
                    thepowerflowmethodtocalculatetheinitialvalue,thenusestheLPmethodtocalculatethe
                    continuous optimal solution, in which corresponding integer variables are rounded off, and
                    finally searches for a discrete optimal solution based on SLP approach.

               Section 4.2 in this chapter gives the basic ideas of formulating the unconstrained power flow
               model; Section 4.3 provides the unconstrained power flow model in the form of a nonlinear
               quadratic function; Section 4.4 shows the calculation process of solving unconstrained power
               flow; Section 4.5 gives the detailed results from actual case studies and their analyses;
               Section 4.6 introduces the discrete OPF model; Section 4.7 describes the discrete OPF
               algorithm; Section 4.8 gives the concrete formulation of 5-Bus system and then the results of
               135-Bus real scale system by using traditional OPF and LF as initial values respectively; and
               Section 4.9 is a summary of the chapter.


               4.2 Ideas of Modeling for Unconstrained Power Flow with
                     Objective Function

               4.2.1 Description of Ill-Conditioned Power Flow Problem

               As previously mentioned, the N-R method and the fast PQ decoupled load flow method are most
               widely used. Both methods are efficient, however, in some special situations, nonconvergence
               may be encountered. Whether a power flow calculation will converge or not depend on many
               factors, such as operating conditions, reactive power distributions, and solution algorithms.
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